veloren/world/src/sim/erosion.rs
Joshua Yanovski 597bb3c526 Adding many new types of geomorphic laws:
- soil production (currently disabled).
- debris flow erosion (combined with regular stream power law).
- flow computation using multiple receivers.
- filling strategy during drainage network calculations.

Also tweaks a variety of other aspects of erosion.
2020-01-23 18:18:12 +01:00

3395 lines
171 KiB
Rust
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

use super::{
diffusion, downhill, neighbors, uniform_idx_as_vec2, uphill, vec2_as_uniform_idx,
NEIGHBOR_DELTA, WORLD_SIZE,
};
use crate::{config::CONFIG, util::RandomField};
use arr_macro::arr;
use bitvec::prelude::{bitbox, bitvec, BitBox};
use common::{terrain::TerrainChunkSize, vol::RectVolSize};
use faster::*;
use noise::{NoiseFn, Point3};
use num::{Float, FromPrimitive, One, Zero};
use ordered_float::NotNan;
use packed_simd::{/*f32x8, f64x8,*/ m32, m64};
use rayon::prelude::*;
use std::{
cmp::{Ordering, Reverse},
collections::BinaryHeap,
f32, f64, fmt, mem,
path::PathBuf,
time::Instant,
u32,
};
use vek::*;
pub type Alt = f64;
// pub type Altx8 = /*f64x8*/f32x8;
pub type Compute = f64;
pub type Computex8 = [Compute; 8];
/// Compute the water flux at all chunks, given a list of chunk indices sorted by increasing
/// height.
pub fn get_drainage(newh: &[u32], downhill: &[isize], _boundary_len: usize) -> Box<[f32]> {
// FIXME: Make the below work. For now, we just use constant flux.
// Initially, flux is determined by rainfall. We currently treat this as the same as humidity,
// so we just use humidity as a proxy. The total flux across the whole map is normalize to
// 1.0, and we expect the average flux to be 0.5. To figure out how far from normal any given
// chunk is, we use its logit.
// NOTE: If there are no non-boundary chunks, we just set base_flux to 1.0; this should still
// work fine because in that case there's no erosion anyway.
// let base_flux = 1.0 / ((WORLD_SIZE.x * WORLD_SIZE.y) as f32);
let base_flux = 1.0;
let mut flux = vec![base_flux; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice();
for &chunk_idx in newh.into_iter().rev() {
let chunk_idx = chunk_idx as usize;
let downhill_idx = downhill[chunk_idx];
if downhill_idx >= 0 {
flux[downhill_idx as usize] += flux[chunk_idx];
}
}
flux
}
/// Compute the water flux at all chunks for multiple receivers, given a list of chunk indices
/// sorted by increasing height and weights for each receiver.
pub fn get_multi_drainage(
mstack: &[u32],
mrec: &[u8],
mwrec: &[Computex8],
_boundary_len: usize,
) -> Box<[Compute]> {
// FIXME: Make the below work. For now, we just use constant flux.
// Initially, flux is determined by rainfall. We currently treat this as the same as humidity,
// so we just use humidity as a proxy. The total flux across the whole map is normalize to
// 1.0, and we expect the average flux to be 0.5. To figure out how far from normal any given
// chunk is, we use its logit.
// NOTE: If there are no non-boundary chunks, we just set base_flux to 1.0; this should still
// work fine because in that case there's no erosion anyway.
// let base_flux = 1.0 / ((WORLD_SIZE.x * WORLD_SIZE.y) as f32);
let base_area = 1.0;
let mut area = vec![base_area; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice();
for &ij in mstack {
let ij = ij as usize;
let wrec_ij = &mwrec[ij];
let area_ij = area[ij];
// debug_assert!(area_ij >= 0.0);
for (k, ijr) in mrec_downhill(mrec, ij) {
/* if area_ij != 1.0 {
println!("ij={:?} wrec_ij={:?} k={:?} ijr={:?} area_ij={:?} wrec_ij={:?}", ij, wrec_ij, k, ijr, area_ij, wrec_ij[k]);
} */
area[ijr] += area_ij * /*wrec_ij.extract(k);*/wrec_ij[k];
}
}
area
/*
a=dx*dy*precip
do ij=1,nn
ijk=mstack(ij)
do k =1,mnrec(ijk)
a(mrec(k,ijk))=a(mrec(k,ijk))+a(ijk)*mwrec(k,ijk)
enddo
enddo
*/
}
/// Kind of water on this tile.
#[derive(Clone, Copy, Debug, PartialEq)]
pub enum RiverKind {
Ocean,
Lake {
/// In addition to a downhill node (pointing to, eventually, the bottom of the lake), each
/// lake also has a "pass" that identifies the direction out of which water should flow
/// from this lake if it is minimally flooded. While some lakes may be too full for this
/// to be the actual pass used by their enclosing lake, we still use this as a way to make
/// sure that lake connections to rivers flow in the correct direction.
neighbor_pass_pos: Vec2<i32>,
},
/// River should be maximal.
River {
/// Dimensions of the river's cross-sectional area, as m × m (rivers are approximated
/// as an open rectangular prism in the direction of the velocity vector).
cross_section: Vec2<f32>,
},
}
impl RiverKind {
pub fn is_river(&self) -> bool {
if let RiverKind::River { .. } = *self {
true
} else {
false
}
}
pub fn is_lake(&self) -> bool {
if let RiverKind::Lake { .. } = *self {
true
} else {
false
}
}
}
impl PartialOrd for RiverKind {
fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
match (*self, *other) {
(RiverKind::Ocean, RiverKind::Ocean) => Some(Ordering::Equal),
(RiverKind::Ocean, _) => Some(Ordering::Less),
(_, RiverKind::Ocean) => Some(Ordering::Greater),
(RiverKind::Lake { .. }, RiverKind::Lake { .. }) => None,
(RiverKind::Lake { .. }, _) => Some(Ordering::Less),
(_, RiverKind::Lake { .. }) => Some(Ordering::Greater),
(RiverKind::River { .. }, RiverKind::River { .. }) => None,
}
}
}
/// From velocity and cross_section we can calculate the volumetric flow rate, as the
/// cross-sectional area times the velocity.
///
/// TODO: we might choose to include a curve for the river, as long as it didn't allow it to
/// cross more than one neighboring chunk away. For now we defer this to rendering time.
///
/// NOTE: This structure is 57 (or more likely 64) bytes, which is kind of big.
#[derive(Clone, Debug, Default)]
pub struct RiverData {
/// A velocity vector (in m / minute, i.e. voxels / second from a game perspective).
///
/// TODO: To represent this in a better-packed way, use u8s instead (as "f8s").
pub(crate) velocity: Vec3<f32>,
/// The computed derivative for the segment of river starting at this chunk (and flowing
/// downhill). Should be 0 at endpoints. For rivers with more than one incoming segment, we
/// weight the derivatives by flux (cross-sectional area times velocity) which is correlated
/// with mass / second; treating the derivative as "velocity" with respect to length along the
/// river, we treat the weighted sum of incoming splines as the "momentum", and can divide it
/// by the total incoming mass as a way to find the velocity of the center of mass. We can
/// then use this derivative to find a "tangent" for the incoming river segment at this point,
/// and as the linear part of the interpolating spline at this point.
///
/// Note that we aren't going to have completely smooth curves here anyway, so we will probably
/// end up applying a dampening factor as well (maybe based on the length?) to prevent
/// extremely wild oscillations.
pub(crate) spline_derivative: Vec2<f32>,
/// If this chunk is part of a river, this should be true. We can't just compute this from the
/// cross section because once a river becomes visible, we want it to stay visible until it
/// reaches its sink.
pub river_kind: Option<RiverKind>,
/// We also have a second record for recording any rivers in nearby chunks that manage to
/// intersect this chunk, though this is unlikely to happen in current gameplay. This is
/// because river areas are allowed to cross arbitrarily many chunk boundaries, if they are
/// wide enough. In such cases we may choose to render the rivers as particularly deep in
/// those places.
pub(crate) neighbor_rivers: Vec<u32>,
}
impl RiverData {
pub fn is_river(&self) -> bool {
self.river_kind
.as_ref()
.map(RiverKind::is_river)
.unwrap_or(false)
}
pub fn is_lake(&self) -> bool {
self.river_kind
.as_ref()
.map(RiverKind::is_lake)
.unwrap_or(false)
}
}
/// Draw rivers and assign them heights, widths, and velocities. Take some liberties with the
/// constant factors etc. in order to make it more likely that we draw rivers at all.
pub fn get_rivers<F: fmt::Debug + Float + Into<f64>, G: Float + Into<f64>>(
newh: &[u32],
water_alt: &[F],
downhill: &[isize],
indirection: &[i32],
drainage: &[G],
) -> Box<[RiverData]> {
// For continuity-preserving quadratic spline interpolation, we (appear to) need to build
// up the derivatives from the top down. Fortunately this computation seems tractable.
let mut rivers = vec![RiverData::default(); WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice();
let neighbor_coef = TerrainChunkSize::RECT_SIZE.map(|e| e as f64);
// (Roughly) area of a chunk, times minutes per second.
let mins_per_sec = /*64.0*/1.0; //1.0 / 64.0;
let chunk_area_factor = neighbor_coef.x * neighbor_coef.y / mins_per_sec;
// NOTE: This technically makes us discontinuous, so we should be cautious about using this.
let derivative_divisor = 1.0;
let height_scale = 1.0; // 1.0 / CONFIG.mountain_scale as f64;
for &chunk_idx in newh.into_iter().rev() {
let chunk_idx = chunk_idx as usize;
let downhill_idx = downhill[chunk_idx];
if downhill_idx < 0 {
// We are in the ocean.
debug_assert!(downhill_idx == -2);
rivers[chunk_idx].river_kind = Some(RiverKind::Ocean);
continue;
}
let downhill_idx = downhill_idx as usize;
let downhill_pos = uniform_idx_as_vec2(downhill_idx);
let dxy = (downhill_pos - uniform_idx_as_vec2(chunk_idx)).map(|e| e as f64);
let neighbor_dim = neighbor_coef * dxy;
// First, we calculate the river's volumetric flow rate.
let chunk_drainage = drainage[chunk_idx].into();
// Volumetric flow rate is just the total drainage area to this chunk, times rainfall
// height per chunk per minute, times minutes per second
// (needed in order to use this as a m³ volume).
// TODO: consider having different rainfall rates (and including this information in the
// computation of drainage).
let volumetric_flow_rate =
chunk_drainage * chunk_area_factor * CONFIG.rainfall_chunk_rate as f64;
let downhill_drainage = drainage[downhill_idx].into();
// We know the drainage to the downhill node is just chunk_drainage - 1.0 (the amount of
// rainfall this chunk is said to get), so we don't need to explicitly remember the
// incoming mass. How do we find a slope for endpoints where there is no incoming data?
// Currently, we just assume it's set to 0.0.
// TODO: Fix this when we add differing amounts of rainfall.
let incoming_drainage = downhill_drainage - 1.0;
let get_river_spline_derivative =
|neighbor_dim: Vec2<f64>, spline_derivative: Vec2<f32>| {
/*if incoming_drainage == 0.0 {
Vec2::zero()
} else */
{
// "Velocity of center of mass" of splines of incoming flows.
let river_prev_slope = spline_derivative.map(|e| e as f64)/* / incoming_drainage*/;
// NOTE: We need to make sure the slope doesn't get *too* crazy.
// ((dpx - cx) - 4 * MAX).abs() = bx
// NOTE: This will fail if the distance between chunks in any direction
// is exactly TerrainChunkSize::RECT * 4.0, but hopefully this should not be possible.
// NOTE: This isn't measuring actual distance, you can go farther on diagonals.
// let max_deriv = neighbor_dim - neighbor_coef * 4.0;
let max_deriv = neighbor_dim - neighbor_coef * 2.0 * 2.0.sqrt();
let extra_divisor = river_prev_slope
.map2(max_deriv, |e, f| (e / f).abs())
.reduce_partial_max();
// Set up the river's spline derivative. For each incoming river at pos with
// river_spline_derivative bx, we can compute our interpolated slope as:
// d_x = 2 * (chunk_pos - pos - bx) + bx
// = 2 * (chunk_pos - pos) - bx
//
// which is exactly twice what was weighted by uphill nodes to get our
// river_spline_derivative in the first place.
//
// NOTE: this probably implies that the distance shouldn't be normalized, since the
// distances aren't actually equal between x and y... we'll see what happens.
(if extra_divisor > 1.0 {
river_prev_slope / extra_divisor
} else {
river_prev_slope
})
.map(|e| e as f32)
}
};
let river = &rivers[chunk_idx];
let river_spline_derivative =
get_river_spline_derivative(neighbor_dim, river.spline_derivative);
let indirection_idx = indirection[chunk_idx];
// Find the lake we are flowing into.
let lake_idx = if indirection_idx < 0 {
// If we're a lake bottom, our own indirection is negative.
/* let mut lake = &mut rivers[chunk_idx];
let neighbor_pass_idx = downhill_idx;
// Mass flow from this lake is treated as a weighting factor (this is currently
// considered proportional to drainage, but in the direction of "lake side of pass to
// pass.").
let neighbor_pass_pos = downhill_pos;
lake.river_kind = Some(RiverKind::Lake {
neighbor_pass_pos: neighbor_pass_pos
* TerrainChunkSize::RECT_SIZE.map(|e| e as i32),
});
lake.spline_derivative = Vec2::zero()/*river_spline_derivative*/; */
let pass_idx = (-indirection_idx) as usize;
/* let pass_pos = uniform_idx_as_vec2(pass_idx);
let lake_direction = neighbor_coef * (neighbor_pass_pos - pass_pos).map(|e| e as f64); */
let pass = &rivers[pass_idx];
/* // Our side of the pass must have already been traversed (even if our side of the pass
// is the lake bottom), so we acquire its computed river_spline_derivative.
debug_assert!(pass.is_lake()); */
// NOTE: Must exist since this lake had a downhill in the first place.
let neighbor_pass_idx = downhill[pass_idx] as usize/*downhill_idx*/;
/* let pass_spline_derivative = pass.spline_derivative.map(|e| e as f64)/*Vec2::zero()*/;
// Normally we want to not normalize, but for the lake we don't want to generate a
// super long edge since it could lead to a lot of oscillation... this is another
// reason why we shouldn't use the lake bottom.
// lake_direction.normalize();
// We want to assign the drained node from any lake to be a river.
let lake_drainage = /*drainage[chunk_idx]*/chunk_drainage;
let lake_neighbor_pass_incoming_drainage = incoming_drainage;
let weighted_flow = (lake_direction * 2.0 - pass_spline_derivative)
/ derivative_divisor
* lake_drainage
/ lake_neighbor_pass_incoming_drainage; */
let mut lake_neighbor_pass = &mut rivers[neighbor_pass_idx];
// We definitely shouldn't have encountered this yet!
debug_assert!(lake_neighbor_pass.velocity == Vec3::zero());
// TODO: Rethink making the lake neighbor pass always a river or lake, no matter how
// much incoming water there is? Sometimes it looks weird having a river emerge from a
// tiny pool.
lake_neighbor_pass.river_kind = Some(RiverKind::River {
cross_section: Vec2::default(),
});
/* // We also want to add to the out-flow side of the pass a (flux-weighted)
// derivative coming from the lake center.
//
// NOTE: Maybe consider utilizing 3D component of spline somehow? Currently this is
// basically a flat vector, but that might be okay from lake to other side of pass.
lake_neighbor_pass.spline_derivative += /*Vec2::new(weighted_flow.x, weighted_flow.y)*/
weighted_flow.map(|e| e as f32);
continue; */
chunk_idx
} else {
indirection_idx as usize
};
// Find the pass this lake is flowing into (i.e. water at the lake bottom gets
// pushed towards the point identified by pass_idx).
let pass_idx = if downhill[lake_idx] < 0 {
// Flows into nothing, so this lake is its own pass.
lake_idx
} else {
(-indirection[lake_idx]) as usize
};
// Add our spline derivative to the downhill river (weighted by the chunk's drainage).
// NOTE: Don't add the spline derivative to the lake side of the pass for our own lake,
// because we don't want to preserve weird curvature from before we hit the lake in the
// outflowing river (this will not apply to one-chunk lakes, which are their own pass).
if pass_idx != downhill_idx {
// TODO: consider utilizing height difference component of flux as well; currently we
// just discard it in figuring out the spline's slope.
let downhill_river = &mut rivers[downhill_idx];
let weighted_flow = (neighbor_dim * 2.0 - river_spline_derivative.map(|e| e as f64))
/ derivative_divisor
* chunk_drainage
/ incoming_drainage;
downhill_river.spline_derivative += weighted_flow.map(|e| e as f32);
}
let neighbor_pass_idx = downhill[pass_idx/*lake_idx*/];
// Find our own water height.
let chunk_water_alt = water_alt[chunk_idx];
if neighbor_pass_idx >= 0 {
// We may be a river. But we're not sure yet, since we still could be
// underwater. Check the lake height and see if our own water height is within ε of
// it.
// let pass_idx = (-indirection[lake_idx]) as usize;
let lake_water_alt = water_alt[lake_idx];
if chunk_water_alt == lake_water_alt {
// Not a river.
// Check whether we we are the lake side of the pass.
// NOTE: Safe because this is a lake.
let (neighbor_pass_pos, river_spline_derivative) = if pass_idx == chunk_idx
/*true*/
{
// This is a pass, so set our flow direction to point to the neighbor pass
// rather than downhill.
// NOTE: Safe because neighbor_pass_idx >= 0.
(
uniform_idx_as_vec2(downhill_idx),
// uniform_idx_as_vec2(neighbor_pass_idx as usize),
river_spline_derivative,
)
} else {
// Try pointing towards the lake side of the pass.
(uniform_idx_as_vec2(pass_idx), river_spline_derivative)
};
let mut lake = &mut rivers[chunk_idx];
lake.spline_derivative = river_spline_derivative;
lake.river_kind = Some(RiverKind::Lake {
neighbor_pass_pos: neighbor_pass_pos
* TerrainChunkSize::RECT_SIZE.map(|e| e as i32),
});
continue;
}
// Otherwise, we must be a river.
} else {
// We are flowing into the ocean.
debug_assert!(neighbor_pass_idx == -2);
// But we are not the ocean, so we must be a river.
}
// Now, we know we are a river *candidate*. We still don't know whether we are actually a
// river, though. There are two ways for that to happen:
// (i) We are already a river.
// (ii) Using the GaucklerManningStrickler formula for cross-sectional average velocity
// of water, we establish that the river can be "big enough" to appear on the Veloren
// map.
//
// This is very imprecise, of course, and (ii) may (and almost certainly will) change over
// time.
//
// In both cases, we preemptively set our child to be a river, to make sure we have an
// unbroken stream. Also in both cases, we go to the effort of computing an effective
// water velocity vector and cross-sectional dimensions, as well as figuring out the
// derivative of our interpolating spline (since this percolates through the whole river
// network).
let downhill_water_alt = water_alt[downhill_idx];
let neighbor_distance = neighbor_dim.magnitude();
let dz = (downhill_water_alt - chunk_water_alt).into()/* / height_scale as f32*/; // * CONFIG.mountain_scale;
let slope = dz.abs() / neighbor_distance;
if slope == 0.0 {
// This is not a river--how did this even happen?
let pass_idx = (-indirection_idx) as usize;
log::error!("Our chunk (and downhill, lake, pass, neighbor_pass): {:?} (to {:?}, in {:?} via {:?} to {:?}), chunk water alt: {:?}, lake water alt: {:?}",
uniform_idx_as_vec2(chunk_idx),
uniform_idx_as_vec2(downhill_idx),
uniform_idx_as_vec2(lake_idx),
uniform_idx_as_vec2(pass_idx),
if neighbor_pass_idx >= 0 { Some(uniform_idx_as_vec2(neighbor_pass_idx as usize)) } else { None },
water_alt[chunk_idx],
water_alt[lake_idx]);
panic!("Should this happen at all?");
}
let slope_sqrt = slope.sqrt();
// Now, we compute a quantity that is proportional to the velocity of the chunk, derived
// from the Manning formula, equal to
// volumetric_flow_rate / slope_sqrt * CONFIG.river_roughness.
let almost_velocity = volumetric_flow_rate / slope_sqrt * CONFIG.river_roughness as f64;
// From this, we can figure out the width of the chunk if we know the height. For now, we
// hardcode the height to 0.5, but it should almost certainly be much more complicated than
// this.
// let mut height = 0.5f32;
// We approximate the river as a rectangular prism. Theoretically, we need to solve the
// following quintic equation to determine its width from its height:
//
// h^5 * w^5 = almost_velocity^3 * (w + 2 * h)^2.
//
// This is because one of the quantities in the Manning formula (the unknown) is R_h =
// (area of cross-section / h)^(2/3).
//
// Unfortunately, quintic equations do not in general have algebraic solutions, and it's
// not clear (to me anyway) that this one does in all cases.
//
// In practice, for high ratios of width to height, we can approximate the rectangular
// prism's perimeter as equal to its width, so R_h as equal to height. This greatly
// simplifies the calculation. For simplicity, we do this even for low ratios of width to
// height--I found that for most real rivers, at least big ones, this approximation is
// "good enough." We don't need to be *that* realistic :P
//
// NOTE: Derived from a paper on estimating river width.
let mut width = 5.0
* (CONFIG.river_width_to_depth as f64
* (CONFIG.river_width_to_depth as f64 + 2.0).powf(2.0 / 3.0))
.powf(3.0 / 8.0)
* volumetric_flow_rate.powf(3.0 / 8.0)
* slope.powf(-3.0 / 16.0)
* (CONFIG.river_roughness as f64).powf(3.0 / 8.0);
width = width.max(0.0);
let mut height = if width == 0.0 {
CONFIG.river_min_height as f64
} else {
(almost_velocity / width).powf(3.0 / 5.0)
};
// We can now weight the river's drainage by its direction, which we use to help improve
// the slope of the downhill node.
let river_direction = Vec3::new(neighbor_dim.x, neighbor_dim.y, dz.signum() * dz);
// Now, we can check whether this is "really" a river.
// Currently, we just check that width and height are at least 0.5 and
// CONFIG.river_min_height.
let river = &rivers[chunk_idx];
let is_river = river.is_river() || width >= 0.5 && height >= CONFIG.river_min_height as f64;
let mut downhill_river = &mut rivers[downhill_idx];
if is_river {
// Provisionally make the downhill chunk a river as well.
downhill_river.river_kind = Some(RiverKind::River {
cross_section: Vec2::default(),
});
// Additionally, if the cross-sectional area for this river exceeds the max river
// width, the river is overflowing the two chunks adjacent to it, which we'd prefer to
// avoid since only its two immediate neighbors (orthogonal to the downhill direction)
// are guaranteed uphill of it.
// Solving this properly most likely requires modifying the erosion model to
// take channel width into account, which is a formidable task that likely requires
// rethinking the current grid-based erosion model (or at least, requires tracking some
// edges that aren't implied by the grid graph). For now, we will solve this problem
// by making the river deeper when it hits the max width, until it consumes all the
// available energy in this part of the river.
let max_width = TerrainChunkSize::RECT_SIZE.x as f64 * CONFIG.river_max_width as f64;
if width > max_width {
width = max_width;
height = (almost_velocity / width).powf(3.0 / 5.0);
}
}
// Now we can compute the river's approximate velocity magnitude as well, as
let velocity_magnitude =
1.0 / CONFIG.river_roughness as f64 * height.powf(2.0 / 3.0) * slope_sqrt;
// Set up the river's cross-sectional area.
let cross_section = Vec2::new(width as f32, height as f32);
// Set up the river's velocity vector.
let mut velocity = river_direction;
velocity.normalize();
velocity *= velocity_magnitude;
let mut river = &mut rivers[chunk_idx];
// NOTE: Not trying to do this more cleverly because we want to keep the river's neighbors.
// TODO: Actually put something in the neighbors.
river.velocity = velocity.map(|e| e as f32);
river.spline_derivative = river_spline_derivative;
river.river_kind = if is_river {
Some(RiverKind::River { cross_section })
} else {
None
};
}
rivers
}
/// Precompute the maximum slope at all points.
///
/// TODO: See if allocating in advance is worthwhile.
fn get_max_slope(h: &[Alt], rock_strength_nz: &(impl NoiseFn<Point3<f64>> + Sync)) -> Box<[f64]> {
let min_max_angle = (15.0/*6.0*//*30.0*//*6.0*//*15.0*/ / 360.0 * 2.0 * f64::consts::PI).tan();
let max_max_angle =
(60.0/*54.0*//*50.0*//*54.0*//*45.0*/ / 360.0 * 2.0 * f64::consts::PI).tan();
let max_angle_range = max_max_angle - min_max_angle;
let height_scale = 1.0 / 4.0; // 1.0; // 1.0 / CONFIG.mountain_scale as f64;
h.par_iter()
.enumerate()
.map(|(posi, &z)| {
let wposf = uniform_idx_as_vec2(posi).map(|e| e as f64) * TerrainChunkSize::RECT_SIZE.map(|e| e as f64);
let wposz = z as f64 / height_scale;// * CONFIG.mountain_scale as f64;
// Normalized to be between 6 and and 54 degrees.
let div_factor = /*32.0*//*16.0*//*64.0*//*256.0*//*8.0 / 4.0*//*8.0*/(2.0 * TerrainChunkSize::RECT_SIZE.x as f64) / 8.0/* * 8.0*//*1.0*//*4.0*//* * /*1.0*/16.0/* TerrainChunkSize::RECT_SIZE.x as f64 / 8.0 */*/;
let rock_strength = rock_strength_nz
.get([
wposf.x, /* / div_factor*/
wposf.y, /* / div_factor*/
wposz * div_factor,
]);
/* if rock_strength < -1.0 || rock_strength > 1.0 {
println!("Nooooo: {:?}", rock_strength);
} */
let rock_strength = rock_strength
.max(-1.0)
.min(1.0)
* 0.5
+ 0.5;
// Powering rock_strength^((1.25 - z)^6) means the maximum angle increases with z, but
// not too fast. At z = 0.25 the angle is not affected at all, below it the angle is
// lower, and above it the angle is higher.
//
// Logistic regression. Make sure x ∈ (0, 1).
let logit = |x: f64| x.ln() - (-x).ln_1p();
// 0.5 + 0.5 * tanh(ln(1 / (1 - 0.1) - 1) / (2 * (sqrt(3)/pi)))
let logistic_2_base = 3.0f64.sqrt() * f64::consts::FRAC_2_PI;
// Assumes μ = 0, σ = 1
let logistic_cdf = |x: f64| (x / logistic_2_base).tanh() * 0.5 + 0.5;
// We do log-odds against center, so that our log odds are 0 when x = 0.25, lower when x is
// lower, and higher when x is higher.
//
// (NOTE: below sea level, we invert it).
//
// TODO: Make all this stuff configurable... but honestly, it's so complicated that I'm not
// sure anyone would be able to usefully tweak them on a per-map basis? Plus it's just a
// hacky heuristic anyway.
let center = /*0.25*//*0.4*//*0.2*/0.4;
let dmin = center - /*0.15;//0.05*/0.05;
let dmax = center + /*0.05*//*0.10*/0.05;//0.05;
let log_odds = |x: f64| logit(x) - logit(center);
let rock_strength = logistic_cdf(
1.0 * logit(rock_strength.min(1.0f64 - 1e-7).max(1e-7))
+ 1.0 * log_odds((wposz / CONFIG.mountain_scale as f64).abs().min(dmax).max(dmin)),
);
// let rock_strength = 0.5;
let max_slope = rock_strength * max_angle_range + min_max_angle;
// let max_slope = /*30.0.to_radians().tan();*/3.0.sqrt() / 3.0;
max_slope
})
.collect::<Vec<_>>()
.into_boxed_slice()
}
/// Erode all chunks by amount.
///
/// Our equation is:
///
/// dh(p) / dt = uplift(p)k * A(p)^m * slope(p)^n
///
/// where A(p) is the drainage area at p, m and n are constants
/// (we choose m = 0.4 and n = 1), and k is a constant. We choose
///
/// k = 2.244 * uplift.max() / (desired_max_height)
///
/// since this tends to produce mountains of max height desired_max_height; and we set
/// desired_max_height = 1.0 to reflect limitations of mountain scale.
///
/// This algorithm does this in four steps:
///
/// 1. Sort the nodes in h by height (so the lowest node by altitude is first in the
/// list, and the highest node by altitude is last).
/// 2. Iterate through the list in *reverse.* For each node, we compute its drainage area as
/// the sum of the drainage areas of its "children" nodes (i.e. the nodes with directed edges to
/// this node). To do this efficiently, we start with the "leaves" (the highest nodes), which
/// have no neighbors higher than them, hence no directed edges to them. We add their area to
/// themselves, and then to all neighbors that they flow into (their "ancestors" in the flow
/// graph); currently, this just means the node immediately downhill of this node.
/// As we go lower, we know that all our "children" already had their areas computed, which
/// means that we can repeat the process in order to derive all the final areas.
/// 3. Now, iterate through the list in *order.* Whether we used the filling method to compute a
/// "filled" version of each depression, or used the lake connection algoirthm described in [1],
/// each node is guaranteed to have zero or one drainage edges out, representing the direction
/// of water flow for that node. For nodes i with zero drainage edges out (boundary nodes and
/// lake bottoms) we set the slope to 0 (so the change in altitude is uplift(i))
/// For nodes with at least one drainage edge out, we take advantage of the fact that we are
/// computing new heights in order and rewrite our equation as (letting j = downhill[i], A[i]
/// be the computed area of point i, p(i) be the x-y position of point i,
/// flux(i) = k * A[i]^m / ((p(i) - p(j)).magnitude()), and δt = 1):
///
/// h[i](t + dt) = h[i](t) + δt * (uplift[i] + flux(i) * h[j](t + δt)) / (1 + flux(i) * δt).
///
/// Since we compute heights in ascending order by height, and j is downhill from i, h[j] will
/// always be the *new* h[j](t + δt), while h[i] will still not have been computed yet, so we
/// only need to visit each node once.
///
/// Afterwards, we also apply a hillslope diffusion process using an ADI (alternating direction
/// implicit) method:
///
/// https://github.com/fastscape-lem/fastscapelib-fortran/blob/master/src/Diffusion.f90
///
/// We also borrow the implementation for sediment transport from
///
/// https://github.com/fastscape-lem/fastscapelib-fortran/blob/master/src/StreamPowerLaw.f90
///
/// The approximate equation for soil production function (predictng the rate at which bedrock
/// turns into soil, increasing the distance between the basement and altitude) is taken from
/// equation (11) from [2]. This (among numerous other sources) also includes at least one
/// prediction that hillslope diffusion should be nonlinear, which we sort of attempt to
/// approximate.
///
/// [1] Guillaume Cordonnier, Jean Braun, Marie-Paule Cani, Bedrich Benes, Eric Galin, et al..
/// Large Scale Terrain Generation from Tectonic Uplift and Fluvial Erosion.
/// Computer Graphics Forum, Wiley, 2016, Proc. EUROGRAPHICS 2016, 35 (2), pp.165-175.
/// ⟨10.1111/cgf.12820⟩. ⟨hal-01262376⟩
///
/// [2] William E. Dietrich, Dino G. Bellugi, Leonard S. Sklar, Jonathan D. Stock
/// Geomorphic Transport Laws for Predicting Landscape Form and Dynamics.
/// Prediction in Geomorphology, Geophysical Monograph 135.
/// Copyright 2003 by the American Geophysical Union
/// 10.1029/135GM09
fn erode(
// Height above sea level of topsoil
h: &mut [Alt],
// Height above sea level of bedrock
b: &mut [Alt],
// Height above topsoil of alluvium (loose rock)
// a: &mut [Alt],
// Height above sea level of water
wh: &mut [Alt],
is_done: &mut BitBox,
done_val: bool,
erosion_base: f32,
max_uplift: f32,
max_g: f32,
kdsed: f64,
_seed: &RandomField,
rock_strength_nz: &(impl NoiseFn<Point3<f64>> + Sync),
uplift: impl Fn(usize) -> f32 + Sync,
n_f: impl Fn(usize) -> f32 + Sync,
m_f: impl Fn(usize) -> f32 + Sync,
kf: impl Fn(usize) -> f64 + Sync,
kd: impl Fn(usize) -> f64,
g: impl Fn(usize) -> f32 + Sync,
epsilon_0: impl Fn(usize) -> f32 + Sync,
alpha: impl Fn(usize) -> f32 + Sync,
is_ocean: impl Fn(usize) -> bool + Sync,
) {
let compute_stats = true;
log::debug!("Done draining...");
let height_scale = 1.0; // 1.0 / CONFIG.mountain_scale as f64;
let min_erosion_height = 0.0; // -<Alt as Float>::infinity();
let mmaxh = CONFIG.mountain_scale as f64 * height_scale;
// Since maximum uplift rate is expected to be 5.010e-4 m * y^-1, and
// 1.0 height units is 1.0 / height_scale m, whatever the
// max uplift rate is (in units / y), we can find dt by multiplying by
// 1.0 / height_scale m / unit and then dividing by 5.010e-4 m / y
// (to get dt in y / unit). More formally:
//
// max_uplift h_unit / dt y = 5.010e-4 m / y
//
// 1 h_unit = 1.0 / height_scale m
//
// max_uplift h_unit / dt * 1.0 / height_scale m / h_unit =
// max_uplift / height_scale m / dt =
// 5.010e-4 m / y
//
// max_uplift / height_scale m / dt / (5.010e-4 m / y) = 1
// (max_uplift / height_scale / 5.010e-4) y = dt
// 5e-7
let dt = max_uplift as f64/* / height_scale*/ /* * CONFIG.mountain_scale as f64*/ / /*5.010e-4*/1e-3/*0.2e-3*/;
log::debug!("dt={:?}", dt);
// Minimum sediment thickness before we treat erosion as sediment based.
let sediment_thickness = 1.0e-4 * dt;
let neighbor_coef = TerrainChunkSize::RECT_SIZE.map(|e| e as f64);
let chunk_area = neighbor_coef.x * neighbor_coef.y;
let min_length = neighbor_coef.reduce_partial_min();
let max_stable = /*max_slope * */min_length * min_length / (dt/* / 2.0*/); //1.0/* + /*max_uplift as f64 / dt*/sed / dt*/;
// Landslide constant: ideally scaled to 10e-2 m / y^-1
let l = /*200.0 * max_uplift as f64;*/(1.0e-2 /*/ CONFIG.mountain_scale as f64*/ * height_scale);
let l_tot = l * dt;
// Debris flow coefficient (m / year).
let k_df = 1.0e-4/*0.0*/;
// Debris flow area coefficient (m^(-2q)).
let q = 0.2;
let q_ = 1.5/*1.0*/;
let k_da = /*5.0*/2.5 * 16.0.powf(q);
let nx = WORLD_SIZE.x;
let ny = WORLD_SIZE.y;
let dx = TerrainChunkSize::RECT_SIZE.x as f64/* * height_scale*//* / CONFIG.mountain_scale as f64*/;
let dy = TerrainChunkSize::RECT_SIZE.y as f64/* * height_scale*//* / CONFIG.mountain_scale as f64*/;
// ε₀ = 0.000268 m/y, α = 0.03 (1/m). This is part of the soil production approximate
// equation:
//
// -∂z_b / ∂t = ε₀ * e^(-αH)
//
// where
// z_b is the elevation of the soil-bedrock interface (i.e. the basement),
// ε₀ is the production rate of exposed bedrock (H = 0),
// H is the soil thickness normal to the ground surface,
// and α is a parameter (units of 1 / length).
//
// Note that normal depth at i, for us, will be interpreted as the soil depth vector,
// sed_i = ((0, 0), h_i - b_i),
// projected onto the ground surface slope vector,
// ground_surface_i = ((p_i - p_j), h_i - h_j),
// yielding the soil depth vector
// H_i = sed_i - sed_i ⋅ ground_surface_i / (ground_surface_i ⋅ ground_surface_i) * ground_surface_i
//
// = ((0, 0), h_i - b_i) -
// (0 * ||p_i - p_j|| + (h_i - b_i) * (h_i - h_j)) / (||p_i - p_j||^2 + (h_i - h_j)^2)
// * (p_i - p_j, h_i - h_j)
// = ((0, 0), h_i - b_i) -
// ((h_i - b_i) * (h_i - h_j)) / (||p_i - p_j||^2 + (h_i - h_j)^2)
// * (p_i - p_j, h_i - h_j)
// = (h_i - b_i) *
// (((0, 0), 1) - (h_i - h_j) / (||p_i - p_j||^2 + (h_i - h_j)^2) * (p_i - p_j, h_i - h_j))
// H_i_fact = (h_i - h_j) / (||p_i - p_j||^2 + (h_i - h_j)^2)
// H_i = (h_i - b_i) * ((((0, 0), 1) - H_i_fact * (p_i - p_j, h_i - h_j)))
// = (h_i - b_i) * (-H_i_fact * (p_i - p_j), 1 - H_i_fact * (h_i - h_j))
// ||H_i|| = (h_i - b_i) * √(H_i_fact^2 * ||p_i - p_j||^2 + (1 - H_i_fact * (h_i - h_j))^2)
// = (h_i - b_i) * √(H_i_fact^2 * ||p_i - p_j||^2 + 1 - 2 * H_i_fact * (h_i - h_j) +
// H_i_fact^2 * (h_i - h_j)^2)
// = (h_i - b_i) * √(H_i_fact^2 * (||p_i - p_j||^2 + (h_i - h_j)^2) +
// 1 - 2 * H_i_fact * (h_i - h_j))
// = (h_i - b_i) * √((h_i - h_j)^2 / (||p_i - p_j||^2 + (h_i - h_j)^2) * (||p_i - p_j||^2 + (h_i - h_j)^2) +
// 1 - 2 * (h_i - h_j)^2 / (||p_i - p_j||^2 + (h_i - h_j)^2))
// = (h_i - b_i) * √((h_i - h_j)^2 - 2(h_i - h_j)^2 / (||p_i - p_j||^2 + (h_i - h_j)^2) + 1)
//
// where j is i's receiver and ||p_i - p_j|| is the horizontal displacement between them. The
// idea here is that we first compute the hypotenuse between the horizontal and vertical
// displacement of ground (getting the horizontal component of the triangle), and then this is
// taken as one of the non-hypotenuse sides of the triangle whose other non-hypotenuse side is
// the normal height H_i, while their square adds up to the vertical displacement (h_i - b_i).
// If h and b have different slopes, this may not work completely correctly, but this is
// probably fine as an approximation.
/* let epsilon_0 = 2.68e-4;
let alpha = 3e-2;
let epsilon_0_tot = epsilon_0 * dt; */
// Net precipitation rate (m / year)
let p = 1.0 * height_scale;
/* let n = 2.4;// 1.0;//1.5;//2.4;//1.0;
let m = n * 0.5;// n * 0.4;// 0.96;// 0.4;//0.6;//0.96;//0.4; */
// Stream power erosion constant (bedrock), in m^(1-2m) / year (times dt).
let k_fb = // erosion_base as f64 + 2.244 / mmaxh as f64 * max_uplift as f64;
// 2.244*(5.010e-4)/512*5- (1.097e-5)
// 2.244*(5.010e-4)/2048*5- (1.097e-5)
// 2.244*(5.010e-4)/512- (8e-6)
// 2.244*(5.010e-4)/512- (2e-6)
// 2e-6 * dt;
// 8e-6 * dt
// 2e-5 * dt;
// 2.244/2048*5*32/(250000/4)*10^6
// ln(tan(30/360*2*pi))-ln(tan(6/360*2*pi))*1500 = 3378
//erosion_base as f64 + 2.244 / mmaxh as f64 * /*10.0*//*5.0*//*9.0*//*7.5*//*5.0*//*2.5*//*1.5*//*5.0*//*1.0*//*1.5*//*2.5*//*3.75*/ * max_uplift as f64;
// 2.5e-6 * dt;
2e-5 * dt;
// see http://geosci.uchicago.edu/~kite/doc/Whipple_and_Tucker_1999.pdf
//5e-6 * dt; // 2e-5 was designed for steady state uplift of 2mm / y whih would amount to 500 m / 250,000 y.
// (2.244*(5.010e-4)/512)/(2.244*(5.010e-4)/2500) = 4.88...
// 2.444 * 5
// Stream power erosion constant (sediment), in m^(1-2m) / year (times dt).
let k_fs_mult_sed = /*1.0;*//*2.0*/4.0; /*1.0;*///2.0;/*1.5*/;
// Stream power erosion constant (underwater).
let k_fs_mult_water = /*1.0*//*0.5*/0.25;
let g_fs_mult_sed = 1.0/*0.5*/;
// let k_fs = k_fb * 1.0/*1.5*//*2.0*//*2.0*//*4.0*/;
// u = k * h_max / 2.244
// let uplift_scale = erosion_base as f64 + (k_fb * mmaxh / 2.244 / 5.010e-4 as f64 * mmaxh as f64) * dt;
let (
(dh, indirection, newh, maxh, mrec, mstack, mwrec, area),
(mut max_slopes, /*(ht, at)*/ h_t),
) = rayon::join(
|| {
let mut dh = downhill(
|posi| h[posi], /* + a[posi].max(0.0)*//* + uplift(posi) as Alt*/
|posi| {
is_ocean(posi)
&& h[posi]/* + a[posi].max(0.0)*//* + uplift(posi) as Alt*/ <= 0.0
},
);
log::debug!("Computed downhill...");
let (boundary_len, indirection, newh, maxh) = get_lakes(
|posi| h[posi], /* + a[posi].max(0.0)*//* + uplift(posi) as Alt*/
&mut dh,
);
log::debug!("Got lakes...");
let (mrec, mstack, mwrec) = get_multi_rec(
|posi| h[posi],
&dh,
&newh,
wh,
nx,
ny,
dx as Compute,
dy as Compute,
maxh,
);
log::debug!("Got multiple receivers...");
// let area = get_drainage(&newh, &dh, boundary_len);
let area = get_multi_drainage(&mstack, &mrec, &*mwrec, boundary_len);
log::debug!("Got flux...");
(dh, indirection, newh, maxh, mrec, mstack, mwrec, area)
},
|| {
rayon::join(
|| {
let max_slope = get_max_slope(h, rock_strength_nz);
log::debug!("Got max slopes...");
max_slope
},
|| {
h.to_vec().into_boxed_slice()
/* rayon::join(
|| {
// Store the elevation at t
h.to_vec().into_boxed_slice()
// h.into_par_iter().map(|e| e as f64).collect::<Vec<_>>().into_boxed_slice()
},
|| {
a.to_vec().into_boxed_slice()
},
) */
},
)
},
);
assert!(h.len() == dh.len() && dh.len() == area.len());
// max angle of slope depends on rock strength, which is computed from noise function.
// TODO: Make more principled.
let mid_slope = (30.0 / 360.0 * 2.0 * f64::consts::PI).tan(); //1.0;
type SimdType = f64;
type MaskType = m64;
let simd_func = f64s/*f32s*/;
// Precompute factors for Stream Power Law.
let czero = </*Compute*/SimdType as Zero>::zero();
let (k_fs_fact, /*()*/ k_df_fact) = rayon::join(
|| {
dh.par_iter().enumerate()
.map(|(posi, &posj)| {
let mut k_tot = /*Computex8::splat(czero);*/[czero; 8];
if posj < 0 {
// Egress with no outgoing flows, no stream power.
k_tot
} else {
let old_b_i = b[posi];
let sed = (h_t[posi] - old_b_i) as f64;
let k = if sed > sediment_thickness {
// Sediment
// k_fs
k_fs_mult_sed * kf(posi)
} else {
// Bedrock
// k_fb
kf(posi)
} * dt;
let n = n_f(posi) as f64;
let m = m_f(posi) as f64;
let mwrec_i = &mwrec[posi];
for (kk, posj) in mrec_downhill(&mrec, posi) {
// let posj = posj as usize;
let dxy = (uniform_idx_as_vec2(posi) - uniform_idx_as_vec2(posj)).map(|e| e as f64);
let neighbor_distance = (neighbor_coef * dxy).magnitude();
let knew = (k * (p * chunk_area * (area[posi] as f64 * mwrec_i[kk] as f64)).powf(m) / neighbor_distance.powf(n)) as /*Compute*/SimdType;
// let knew = (k * (p * chunk_area * (area[posi] as f64 * mwrec_i.extract(kk) as f64)).powf(m) / neighbor_distance.powf(n)) as Compute;
k_tot[kk] = knew;
// k_tot = k_tot.replace(kk, knew);
}
k_tot
}
})
.collect::<Vec</*Computex8*/[SimdType; 8]>>()
},
|| {
dh.par_iter().enumerate()
.map(|(posi, &posj)| {
let mut k_tot = /*Computex8::splat(czero);*/[czero; 8];
let uplift_i = uplift(posi) as f64;
debug_assert!(uplift_i.is_normal() && uplift_i > 0.0 || uplift_i == 0.0);
if posj < 0 {
// Egress with no outgoing flows, no stream power.
k_tot
} else {
let area_i = area[posi] as f64;
let max_slope = max_slopes[posi]/*mid_slope*/;
let chunk_area_pow = chunk_area.powf(q);
let old_b_i = b[posi];
let sed = (h_t[posi] - old_b_i) as f64;
/* let k_f = if sed > sediment_thickness {
// Sediment
// k_fs
k_fs_mult_sed * kf(posi)
} else {
// Bedrock
// k_fb
kf(posi)
} * dt; */
// let g_i = g(posi) as f64;
let g_i = if sed > sediment_thickness {
g_fs_mult_sed * g(posi) as f64
} else {
g(posi) as f64
};
// Higher rock strength tends to lead to higher curvature?
let kd_factor =
// 1.0;
(1.0 / (max_slope / mid_slope/*.sqrt()*//*.powf(0.03125)*/).powf(/*2.0*/2.0))/*.min(kdsed)*/;
let k_da = k_da / /*max_slope*/kd_factor;
// let k_df = /*uplift_i*/0.05e-3 / (1.0 + k_da * /*chunk_area_pow*/(10_000.0).powf(q)) / max_slope.powf(q_);
// let k = (uplift_i - kf(posi) * dt * (p * chunk_area).powf(m_f(posi) as f64) * max_slope.powf(n_f(posi) as f64)).max(0.0) / (1.0 + k_da * chunk_area_pow) / max_slope.powf(q_);
// let k = (uplift_i * (1.0 + g_i / p) - k_f * (p * chunk_area).powf(m_f(posi) as f64) * max_slope.powf(n_f(posi) as f64)).max(0.0) / (1.0 + k_da * chunk_area_pow) / max_slope.powf(q_);
// let k = uplift_i / (1.0/* + k_da * chunk_area_pow*/) / max_slope.powf(q_);
// let k = uplift_i / (1.0 + k_da * chunk_area_pow) / max_slope.powf(q_);
// let k = (uplift_i + max_uplift as f64 * g_i / p) / (1.0 + k_da * chunk_area_pow) / max_slope.powf(q_);
// let k = (uplift_i + max_uplift as f64 * g_i / p) / (1.0 + k_da * (100.0 * 100.0).powf(q)) / max_slope.powf(q_);
// let k = k_df * dt;
let mwrec_i = &mwrec[posi];
for (kk, posj) in mrec_downhill(&mrec, posi) {
let mwrec_kk = mwrec_i[kk];
// let posj = posj as usize;
// Working equation:
// U = uplift per time
// D = sediment deposition per time
// E = fluvial erosion per time
// 0 = U + D - E - k_df * (1 + k_da * (mrec_kk * A)^q) * (∂B/∂p)^(q_)
//
// k_df = (U + D - E) / (1 + k_da * (mrec_kk * A)^q) / (∂B/∂p)^(q_)
//
// Want: ∂B/∂p = max slope at steady state, i.e.
// ∂B/∂p = max_slope
// Then:
// k_df = (U + D - E) / (1 + k_da * (mrec_kk * A)^q) / max_slope^(q_)
// Letting
// k = k_df * Δt
// we get:
// k = (U + D - E)Δt / (1 + k_da * (mrec_kk * A)^q) / (ΔB)^(q_)
//
// Now ∂B/∂t under constant uplift, without debris flow (U + D - E), is
// U + D - E = U - E + G/(p̃A) * ∫_A((U - ∂h/∂t) * dA)
//
// Observing that at steady state ∂h/∂t should theoretically
// be 0, we can simplify to:
// U + D = U + G/(p̃A) * ∫_A(U * dA)
//
// Upper bounding this at uplift = max_uplift/∂t for the whole prior
// drainage area, and assuming we account for just mrec_kk of
// the combined uplift and deposition, we get:
//
// U + D ≤ mrec_kk * U + G/p̃ * max_uplift/∂t
// (U + D - E)Δt ≤ (mrec_kk * uplift_i + G/p̃ * mrec_kk * max_uplift - EΔt)
//
// therefore
// k * (1 + k_da * (mrec_kk * A)^q) * max_slope^(q_) ≤ (mrec_kk * (uplift_i + G/p̃ * max_uplift) - EΔt)
// i.e.
// k ≤ (mrec_kk * (uplift_i + G/p̃ * max_uplift) - EΔt) / (1 + k_da * (mrec_kk * A)^q) / max_slope^q_
//
// (eliminating EΔt maintains the sign, but it's somewhat imprecise;
// we can address this later, e.g. by assigning a debris flow / fluvial erosion ratio).
let chunk_neutral_area = /*10.0e6*/1.0e6/*0.1e6*//*100.0 * 100.0*/; // 1 km^2 * (1000 m / km)^2 = 1e6 m^2
let k = (mwrec_kk * (uplift_i + max_uplift as f64 * g_i/* / p*/)) / (1.0 + k_da * (mwrec_kk * chunk_neutral_area).powf(q)) / max_slope.powf(q_);
// ∆p = ||chunk_i - rec_i,kk||
// k = k_df * Δt / (Δp)^(q_)
// we have
//
//
// ΔB = k * (1 + k_da * (mrec_kk * A)^q) * (∆p)^(q_)
// k * (1 + k_da * (mrec_kk * A)^q) = ΔB / ∆p^(q_)
// k = ΔB / (1 + k_da * (mrec_kk * A)^q) / ∆p
//
// Now ∂B/∂t under constant uplift, without debris flow, is
// ∂B/∂t = U - E + G/(p̃A) * ∫_A((U - ∂h/∂t) * dA)
let dxy = (uniform_idx_as_vec2(posi) - uniform_idx_as_vec2(posj)).map(|e| e as f64);
let neighbor_distance = (neighbor_coef * dxy).magnitude();
let knew = (k * (1.0 + k_da * chunk_area_pow * (area_i * mwrec_kk as f64).powf(q)) / neighbor_distance.powf(q_)) as SimdType/*Compute*/;
// let knew = (k * (1.0 + k_da * chunk_area_pow * (area_i * mwrec_i.extract(kk) as f64).powf(q)) / neighbor_distance.powf(q_)) as Compute;
// let knew = 0.0;
k_tot[kk] = knew;
// k_tot = k_tot.replace(kk, knew);
}
k_tot
}
})
.collect::<Vec</*Computex8*/[SimdType; 8]>>()
},
);
/* h.par_iter_mut().enumerate().for_each(|(posi, h)| {
*h += uplift(posi) as Alt;
}); */
log::debug!("Computed stream power factors...");
let mut lake_water_volume =
vec![/*-1i32*/0.0 as Compute; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice();
let mut elev = vec![/*-1i32*/0.0 as Compute; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice();
let mut h_p = vec![/*-1i32*/0.0 as Compute; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice();
/* let mut hp = vec![/*-1i32*/0.0 as Compute; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice();
let mut ap = vec![/*-1i32*/0.0 as Compute; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice(); */
let mut deltah = vec![/*-1i32*/0.0 as Compute; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice();
/* let mut deltah_sediment = vec![/*-1i32*/0.0 as Compute; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice();
let mut deltah_alluvium = vec![/*-1i32*/0.0 as Compute; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice(); */
// calculate the elevation / SPL, including sediment flux
let tol1 = 1.0e-4 as Compute * (maxh as Compute + 1.0);
let tol2 = 1.0e-3 as Compute * (max_uplift as Compute + 1.0);
let tol = tol1.max(tol2);
let mut err = 2.0 * tol;
// Some variables for tracking statistics, currently only for debugging purposes.
let mut minh = <Alt as Float>::infinity();
let mut maxh = 0.0;
let mut nland = 0usize;
let mut ncorr = 0usize;
let mut sums = 0.0;
let mut sumh = 0.0;
let mut suma = 0.0;
let mut sumsed = 0.0;
let mut suma_land = 0.0;
let mut sumsed_land = 0.0;
let mut ntherm = 0usize;
// ln of product of actual slopes (only where actual is above critical).
let mut prods_therm = 0.0;
// ln of product of critical slopes (only where actual is above critical).
let mut prodscrit_therm = 0.0;
let avgz = |x, y: usize| if y == 0 { f64::INFINITY } else { x / y as f64 };
let geomz = |x: f64, y: usize| {
if y == 0 {
f64::INFINITY
} else {
(x / y as f64).exp()
}
};
// Gauss-Seidel iteration
let mut lake_silt =
vec![/*-1i32*/0.0 as Compute; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice();
/* let mut lake_sediment = vec![/*-1i32*/0.0 as Compute; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice();
let mut lake_alluvium = vec![/*-1i32*/0.0 as Compute; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice(); */
let mut lake_sill = vec![/*-1i32*/-1isize; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice();
/* let mut h_ = (0..WORLD_SIZE.x * WORLD_SIZE.y)
.into_par_iter()
.map(|posi| ht[posi] + at[posi].max(0.0))
.collect::<Vec<_>>()
.into_boxed_slice(); */
let mut n_gs_stream_power_law = 0;
let max_n_gs_stream_power_law = /*199*/99;
while err > tol && n_gs_stream_power_law < max_n_gs_stream_power_law {
log::debug!("Stream power iteration #{:?}", n_gs_stream_power_law);
// Reset statistics in each loop.
maxh = 0.0;
minh = <Alt as Float>::infinity();
nland = 0usize;
ncorr = 0usize;
sums = 0.0;
sumh = 0.0;
sumsed = 0.0;
suma = 0.0;
sumsed_land = 0.0;
suma_land = 0.0;
ntherm = 0usize;
prods_therm = 0.0;
prodscrit_therm = 0.0;
// Keep track of how many iterations we've gone to test for convergence.
n_gs_stream_power_law += 1;
rayon::join(
|| {
/*rayon::join(
|| */
{
// guess/update the elevation at t+Δt (k)
h_p.par_iter_mut()
.zip(/*h_*/ h.par_iter()) /*.zip(wh.par_iter())*/
.for_each(|((mut h_p, h_)/*, wh_*/)| {
*h_p = (*h_)/*.max(*wh_)*/ as Compute;
});
/* hp.par_iter_mut().zip(h.par_iter()).for_each(|(mut hp, h)| {
*hp = *h as Compute;
}); */
} /*,
|| {
// guess/update the alluvium at t+Δt (k)
ap.par_iter_mut().zip(a.par_iter()).for_each(|(mut ap, a)| {
*ap = *a as Compute;
});
}, */
/*)*/
},
|| {
/*rayon::join(
|| */
{
// calculate erosion/deposition of sediment at each node
deltah.par_iter_mut().enumerate().for_each(|(posi, mut deltah)| {
let uplift_i = uplift(posi) as Alt;
// h_j(t, FINAL) + U_j * Δt - h_j(t + Δt, k)
/* debug_assert!(((h[posi] + a[posi].max(0.0)) - h_[posi]).abs() <= 1.0e-6);
// let foo = (ht[posi] + uplift_i - h[posi] - (at[posi] - a[posi]/*.max(0.0)*/)) as Compute;
let foo = (ht[posi] + uplift_i - h[posi] - (at[posi] - a[posi].max(0.0)/*.max(0.0)*/)) as Compute;
// let foo = (ht[posi] + at[posi] + uplift_i - (h[posi] + a[posi].max(0.0))) as Compute;
let bar = (at[posi]/* + uplift_i*/ - a[posi].max(0.0)/* - (h[posi] - ht[posi]*/)) as Compute; */
let delta = (/*ht[posi] + at[posi].max(0.0)*/h_t[posi] + uplift_i - /*h_*/h[posi]/*.max(wh[posi])*/) as Compute;
/* if (delta - (foo + bar)).abs() > 1.0e-6 {
println!("dh: {:?}, foo: {:?}, bar: {:?}, delta: {:?}, ht: {:?}, at: {:?}, h: {:?}, a: {:?}, h_: {:?}",
dh[posi], foo, bar, delta,
ht[posi], at[posi],
h[posi], a[posi], h_[posi]);
debug_assert_eq!(delta, foo + bar);
} */
*deltah = delta;
});
/* deltah_sediment.par_iter_mut().enumerate().for_each(|(posi, mut deltah)| {
let uplift_i = uplift(posi) as Alt;
*deltah = (ht[posi] + uplift_i - h[posi] - (at[posi] - a[posi].max(0.0))) as Compute;
}); */
} /*,
|| {
// calculate erosion/deposition of alluvium at each node
deltah_alluvium.par_iter_mut().enumerate().for_each(|(posi, mut deltah)| {
let uplift_i = uplift(posi) as Alt;
*deltah = (at[posi]/* + uplift_i*/ - a[posi].max(0.0)/* - (h[posi] - ht[posi])*/) as Compute;
});
},
)*/
},
);
log::debug!("(Done precomputation).");
// sum the erosion in stack order
//
// After:
// deltah_i = Σ{j ∈ {i} upstream_i(t)}(h_j(t, FINAL) + U_j * Δt - h_i(t + Δt, k))
for &posi in /*newh.iter().rev()*/mstack.into_iter() {
let posi = posi as usize;
let posj = dh[posi];
if posj < 0 {
lake_silt[posi] = deltah[posi];
/* lake_sediment[posi] = deltah_sediment[posi];
lake_alluvium[posi] = deltah_alluvium[posi]; */
} else {
let uplift_i = uplift(posi) as Alt;
/* if (deltah[posi] - (deltah_sediment[posi] + deltah_alluvium[posi])).abs() > 1.0e-2 {
println!("deltah_sediment: {:?}, deltah_alluvium: {:?}, deltah: {:?}, hp: {:?}, ap: {:?}, h_p: {:?}, ht: {:?}, at: {:?}, h: {:?}, a: {:?}, h_: {:?}",
deltah_sediment[posi], deltah_alluvium[posi], deltah[posi],
hp[posi], ap[posi], h_p[posi],
ht[posi], at[posi],
h[posi], a[posi], h_[posi]);
debug_assert_eq!(deltah[posi], deltah_sediment[posi] + deltah_alluvium[posi]);
} */
deltah[posi] -= ((/*ht[posi] + at[posi].max(0.0)*/h_t[posi] + uplift_i) as Compute - h_p[posi]);
/* deltah_sediment[posi] -= ((ht[posi] + uplift_i - (at[posi] - ap[posi].max(0.0))) as Compute - hp[posi]);
deltah_alluvium[posi] -= ((at[posi]/* + uplift_i - (hp[posi] - ht[posi])*/) as Compute - ap[posi].max(0.0)); */
let lposi = lake_sill[posi];
if lposi == posi as isize {
if deltah[posi] <= 0.0 {
lake_silt[posi] = 0.0;
} else {
lake_silt[posi] = deltah[posi];
}
/* if deltah_sediment[posi] <= 0.0 {
lake_sediment[posi] = 0.0;
} else {
lake_sediment[posi] = deltah_sediment[posi];
}
if deltah_alluvium[posi] <= 0.0 {
lake_alluvium[posi] = 0.0;
} else {
lake_alluvium[posi] = deltah_alluvium[posi];
} */
}
deltah[posi] += (/* ht[posi] + at[posi].max(0.0) */h_t[posi] + uplift_i) as Compute - h_p[posi];
let mwrec_i = &mwrec[posi];
for (k, posj) in mrec_downhill(&mrec, posi) {
deltah[posj] += deltah[posi] * mwrec_i[k]/*mwrec_i.extract(k)*/;
}
/* let posj = posj as usize;
deltah[posj] += deltah[posi]; */
/* deltah_sediment[posi] += (ht[posi] + uplift_i - (at[posi] - ap[posi].max(0.0))) as Compute - hp[posi];
deltah_sediment[posj] += deltah_sediment[posi];
deltah_alluvium[posi] += (at[posi]/* + uplift_i - (hp[posi] - ht[posi]*/) as Compute - ap[posi].max(0.0);
deltah_alluvium[posj] += deltah_alluvium[posi]; */
}
/* if (deltah[posi] - (deltah_sediment[posi] + deltah_alluvium[posi])).abs() > 1.0e-2 {
println!("deltah_sediment: {:?}, deltah_alluvium: {:?}, deltah: {:?}, hp: {:?}, ap: {:?}, h_p: {:?}, ht: {:?}, at: {:?}",
deltah_sediment[posi], deltah_alluvium[posi], deltah[posi],
hp[posi], ap[posi], h_p[posi],
ht[posi], at[posi]);
debug_assert_eq!(deltah[posi], deltah_sediment[posi] + deltah_alluvium[posi]);
} */
}
log::debug!("(Done sediment transport computation).");
// do ij=nn,1,-1
// ijk=stack(ij)
// ijr=rec(ijk)
// if (ijr.ne.ijk) then
// dh(ijk)=dh(ijk)-(ht(ijk)-hp(ijk))
// if (lake_sill(ijk).eq.ijk) then
// if (dh(ijk).le.0.d0) then
// lake_sediment(ijk)=0.d0
// else
// lake_sediment(ijk)=dh(ijk)
// endif
// endif
// dh(ijk)=dh(ijk)+(ht(ijk)-hp(ijk))
// dh(ijr)=dh(ijr)+dh(ijk)
// else
// lake_sediment(ijk)=dh(ijk)
// endif
// enddo
elev.par_iter_mut().enumerate().for_each(|(posi, mut elev)| {
let uplift_i = uplift(posi) as Alt;
// let delta_a = a[posi] - at[posi];
if dh[posi] < 0 {
// *elev = (ht[posi] + uplift_i - delta_a) as Compute;
*elev = (/*ht[posi] + at[posi].max(0.0)*/h_t[posi] + uplift_i) as Compute;
} else {
// let old_h_after_uplift_i = (ht[posi] + uplift_i - delta_a) as Compute;
let old_h_after_uplift_i = (/*ht[posi] + at[posi].max(0.0)*/h_t[posi] + uplift_i) as Compute;
let area_i = area[posi] as Compute;
// debug_assert!(area_i > 0.0);
let uphill_silt_i = deltah[posi] - (old_h_after_uplift_i - h_p[posi]);
// let uphill_sediment_i = deltah_sediment[posi] - (old_h_after_uplift_i - hp[posi]);
/* let uphill_sediment_alluvium_i =
deltah_sediment[posi] - (ht[posi] + uplift_i - (at[posi] - ap[posi].max(0.0)) - hp[posi]) +
deltah_alluvium[posi] - ((/*at[posi] + uplift_i - (hp[posi] - ht[posi]*/at[posi]) - ap[posi].max(0.0)/*at[posi]*/); */
/* let uphill_sediment_alluvium_i =
deltah_sediment[posi] + deltah_alluvium[posi] -
2.0 * (old_h_after_uplift_i - (hp[posi] + ap[posi])); */
// let g_i = g(posi) as Compute;
let old_b_i = b[posi];
let sed = (h_t[posi] - old_b_i) as f64;
let g_i = if sed > sediment_thickness {
g_fs_mult_sed * g(posi) as Compute
} else {
g(posi) as Compute
};
// Make sure deposition coefficient doesn't result in more deposition than there
// actually was material to deposit. The current assumption is that as long as we
// are storing at most as much sediment as there actually was along the river, we
// are in the clear.
let g_i_ratio = (g_i / area_i)/*.min(1.0)*/;
// One side of nonlinear equation (23):
//
// h_i(t) + U_i * Δt + G / (p̃ * Ã_i) * Σ{j ∈ upstream_i(t)}(h_j(t, FINAL) + U_j * Δt - h_j(t + Δt, k))
//
// where
//
// Ã_i = A_i / (∆x∆y) = N_i, number of cells upstream of cell i.
// *elev = old_h_after_uplift_i + uphill_sediment_i * g_i_ratio;
*elev = old_h_after_uplift_i + /*uphill_sediment_alluvium_i*/uphill_silt_i * g_i_ratio;
/* if (*elev - (old_h_after_uplift_i + uphill_silt_i * g_i_ratio)).abs() > 1.0e-6 {
println!("deltah_sediment: {:?}, deltah_alluvium: {:?}, deltah: {:?}, hp: {:?}, ap: {:?}, h_p: {:?}",
deltah_sediment[posi], deltah_alluvium[posi], deltah[posi],
hp[posi], ap[posi], h_p[posi]);
debug_assert_eq!(*elev, old_h_after_uplift_i + uphill_silt_i * g_i_ratio);
} */
}
});
log::debug!("(Done elevation estimation).");
let start_time = Instant::now();
// TODO: Consider taking advantage of multi-receiver flow here.
// Iterate in ascending height order.
let mut sum_err = 0.0 as Compute;
/* let mut k_df_weights = Computex8::new(0.0);
let mut k_fs_weights = Computex8::new(0.0);
let mut rec_heights = Computex8::new(0.0); */
/* let mut k_df_weights = [0.0; 8];
let mut k_fs_weights = [0.0; 8];
let mut rec_heights = [0.0; 8]; */
let mut simd_buf = [0.0; 8];
let mut simd_buf2 = [0.0; 8];
let mut simd_buf3 = [0.0; 8];
for &posi in /*&*newh*/mstack.into_iter().rev() {
let posi = posi as usize;
let old_elev_i = /*h*/elev[posi] as f64;
let old_wh_i = wh[posi];
let old_b_i = b[posi];
let old_ht_i = /*ht*/h_t[posi];
let sed = (old_ht_i - old_b_i) as f64;
let posj = dh[posi];
if posj < 0 {
if posj == -1 {
panic!("Disconnected lake!");
}
if /*ht*/h_t[posi] > 0.0 {
log::warn!("Ocean above zero?");
}
// wh for oceans is always at least min_erosion_height.
let uplift_i = uplift(posi) as Alt;
// wh[posi] = min_erosion_height.max(ht[posi] + uplift_i);
wh[posi] = min_erosion_height.max(/*ht[posi] + at[posi].max(0.0)*/h_t[posi] + uplift_i);
// debug_assert!(wh[posi].is_normal() || wh[posi] == 0.0);
lake_sill[posi] = posi as isize;
lake_water_volume[posi] = 0.0;
// max_slopes[posi] = kd(posi);
// Egress with no outgoing flows.
} else {
// *is_done.at(posi) = done_val;
let posj = posj as usize;
// let dxy = (uniform_idx_as_vec2(posi) - uniform_idx_as_vec2(posj)).map(|e| e as f64);
// Has an outgoing flow edge (posi, posj).
// flux(i) = k * A[i]^m / ((p(i) - p(j)).magnitude()), and δt = 1
// let neighbor_distance = (neighbor_coef * dxy).magnitude();
// Since the area is in meters^(2m) and neighbor_distance is in m, so long as m = 0.5,
// we have meters^(1) / meters^(1), so they should cancel out. Otherwise, we would
// want to multiply neighbor_distance by height_scale and area[posi] by
// height_scale^2, to make sure we were working in the correct units for dz
// (which has height_scale height unit = 1.0 meters).
/* let uplift_i = uplift(posi) as f64;
assert!(uplift_i.is_normal() && uplift_i == 0.0 || uplift_i.is_positive()); */
// h[i](t + dt) = (h[i](t) + δt * (uplift[i] + flux(i) * h[j](t + δt))) / (1 + flux(i) * δt).
// NOTE: posj has already been computed since it's downhill from us.
// Therefore, we can rely on wh being set to the water height for that node.
// let h_j = h[posj] as f64;
// let a_j = a[posj] as f64;
let wh_j = wh[posj] as f64;
// let old_a_i = a[posi] as f64;
let old_h_i = h[posi] as f64;
let mut new_h_i = /*old_elev_i*//*old_h_i + old_a_i.max(0.0)*/old_h_i/*h[posi] as f64*//* + uplift_i*/;
/* let mut df_part;
let old_df_part = {
let uphill_alluvium_i =
deltah_alluvium[posi] - ((/*at[posi] + uplift_i - (hp[posi] - ht[posi]*/at[posi]) - ap[posi].max(0.0)/*at[posi]*/);
/* let uphill_sediment_alluvium_i =
deltah_sediment[posi] + deltah_alluvium[posi] -
2.0 * (old_h_after_uplift_i - (hp[posi] + ap[posi])); */
let area_i = area[posi] as Compute;
let g_i = g(posi) as Compute;
// Make sure deposition coefficient doesn't result in more deposition than there
// actually was material to deposit. The current assumption is that as long as we
// are storing at most as much sediment as there actually was along the river, we
// are in the clear.
let g_i_ratio = (g_i / area_i)/*.min(1.0)*/;
at[posi].max(0.0) + uphill_alluvium_i * g_i_ratio
}; */
// Only perform erosion if we are above the water level of the previous node.
if old_elev_i > wh_j/*h_j*//*h[posj]*/ {
let mut dtherm = 0.0f64;
/* {
// Thermal erosion (landslide)
let dxy = (uniform_idx_as_vec2(posi) - uniform_idx_as_vec2(posj)).map(|e| e as f64);
let neighbor_distance = (neighbor_coef * dxy).magnitude();
let dz = (new_h_i - /*h_j*//*h_k*//*wh_j*//*h_j*/wh_j.max(hp[posj])).max(0.0) / height_scale/* * CONFIG.mountain_scale as f64*/;
let mag_slope = dz/*.abs()*/ / neighbor_distance;
let max_slope = max_slopes[posi] as f64;
if mag_slope > max_slope {
let dh = max_slope * neighbor_distance * height_scale/* / CONFIG.mountain_scale as f64*/;
// new_h_i = (ht[posi] as f64 + l_tot * (mag_slope - max_slope));
// new_h_i = new_h_i - l_tot * (mag_slope - max_slope);
let uplift_i = uplift(posi) as f64;
let g_i = g(posi) as f64;
dtherm = -((l_tot * (mag_slope - max_slope)).min(/*dh*//*g_i * *//*uplift_i*//*max_uplift as f64*//*dz*//*uplift_i*//*(new_h_i + uplift_i - old_elev_i).abs() * 0.5*//* * 0.5*//*g_i * dz * 0.5*//*dz*/(old_h_i + uplift_i - old_elev_i).abs() * 0.5));
// new_h_i = hp[posj] + dh;
// new_h_i = /*old_h_i.max*/(/*wh_j*//*ht[posi] as Compute*//*h_j*/hp[posj]/*ht[posj] as Compute*/ + dh).max(new_h_i - l_tot * (mag_slope - max_slope));
if compute_stats/* && new_h_i > wh_j*/ {
ntherm += 1;
}
}
} */
let h0 = old_elev_i + dtherm;
// hi(t + ∂t) = (hi(t) + ∂t(ui + kp^mAi^m(hj(t + ∂t)/||pi - pj||))) / (1 + ∂t * kp^mAi^m / ||pi - pj||)
/* let k = if sed > sediment_thickness {
// Sediment
// k_fs
k_fs_mult_sed * kf(posi)
} else {
// Bedrock
// k_fb
kf(posi)
} * dt;
// let k = k * uplift_i / max_uplift as f64;
let n = n_f(posi) as f64;
let m = m_f(posi) as f64; */
let n = n_f(posi) as f64;
// Fluvial erosion.
let k_df_fact = &k_df_fact[posi];
let k_fs_fact = &k_fs_fact[posi];// k * (p * chunk_area * area[posi] as f64).powf(m) / neighbor_distance.powf(n);
/* // Multiply k_fs_fact by k_fs_mult_water for water.
let k_fs_fact = if h0 < wh_j {
k_fs_mult_* k_fs_fact
} else {
k_fs_fact
}; */
// let elev_j = h_j/* + a_j.max(0.0)*/;
let new_ht_i = (old_ht_i/* + uplift(posi) as f64*/);
if /*n == 1.0*/(n - 1.0).abs() <= 1.0e-3/*f64::EPSILON*/ && (q_ - 1.0).abs() <= 1.0e-3 {
let mut f = h0;
let mut df = 1.0;
for (kk, posj) in mrec_downhill(&mrec, posi) {
// This can happen in cases where receiver kk is neither uphill of
// nor downhill from posi's direct receiver.
if /*new_ht_i/*old_ht_i*/ >= (h_t[posj]/* + uplift(posj) as f64*/)*/old_elev_i /*>=*/> wh[posj] as f64/*h[posj]*//*h_j*/ {
let h_j = h[posj] as f64;
let elev_j = h_j/* + a_j.max(0.0)*/;
/* let flux = /*k * (p * chunk_area * area[posi] as f64).powf(m) / neighbor_distance;*/k_fs_fact[kk] + k_df_fact[kk];
assert!(flux.is_normal() && flux.is_positive() || flux == 0.0);
new_h_i = (/*new_h_i*//*(old_elev_i + (new_h_i - old_h_i))*/h0 + flux * elev_j) / (1.0 + flux); */
let fact = k_fs_fact[kk] as f64 + k_df_fact[kk] as f64;
// let fact = k_fs_fact.extract(kk) as f64 + k_df_fact.extract(kk) as f64;
f += fact * elev_j;
df += fact;
}
}
new_h_i = f / df;
} else {
// Local Newton-Raphson
let omega1 = 0.875f64 * n;
let omega2 = 0.875f64 / q_;/*if q_ < 0.5 { 0.875f64/* * q_*/ } else { 0.875f64 / q_ }*/;
let omega = omega1.max(omega2);
let tolp = 1.0e-3/*1.0e-4*/;
let mut errp = 2.0 * tolp;
// let h0 = old_elev_i + (new_h_i - old_h_i);
// let mut count = 0;
let mut max = 0usize;
/* let mut k_df_weights = [0.0; 8];//f64s(0.0);//f64x8::splat(0.0);
let mut k_fs_weights = [0.0; 8];//f64s(0.0);//f64x8::splat(0.0);
let n_weights = simd_func(n as SimdType - 1.0);
// let n_weights = f64s(n - 1.0);//f64x8::splat(n - 1.0);
let q__weights = simd_func(q_ as SimdType - 1.0);
// let q_weights = f64s(q_ - 1.0);//f64x8::splat(q_ - 1.0);
let czero = simd_func(0.0);
// let czero = f64s(0.0);//f64x8::splat(0.0); */
let mut rec_heights = [0.0; 8];//f64s(0.0);//f64x8::splat(0.0);
let mut mask = [MaskType::new(false); 8];
for (kk, posj) in mrec_downhill(&mrec, posi) {
if old_elev_i > wh[posj] as f64 {
// k_fs_weights[kk] = k_fs_fact[kk] as SimdType;
// k_fs_weights[max] = k_fs_fact[kk] as SimdType;
// /*k_fs_weights = */k_fs_weights.replace(max, k_fs_fact[kk]/*.extract(kk)*/ as f64);
// k_df_weights[kk] = k_df_fact[kk] as SimdType;
// k_df_weights[max] = k_df_fact[kk] as SimdType;
// /*k_df_weights = */k_df_weights.replace(max, k_df_fact[kk]/*.extract(kk)*/ as f64);
mask[kk] = MaskType::new(true);
rec_heights[kk] = h[posj] as SimdType;
// rec_heights[max] = h[posj] as SimdType;
// /*rec_heights = */rec_heights.replace(max, h[posj] as f64);
// max += 1;
}
}
/* let (weights_heights, max) = {
let mut iter = mrec_downhill(&mrec, posi);
let mut max = 0usize;
let arr = arr![
match iter.next() {
Some((kk, posj)) if old_elev_i >= wh[posj] => {
max += 1;
(k_fs_fact[kk], k_df_fact[kk], h[posj])
},
_ => (0.0, 0.0, 0.0),
}; 8];
(arr, max)
}; */
assert!(max <= 8);
/* let k_fs_weights = &k_fs_weights[..max];
let k_df_weights = &k_df_weights[..max];
let rec_heights = &rec_heights[..max];
let mut simd_buf = &mut simd_buf[..max];
let mut simd_buf2 = &mut simd_buf2[..max];
let mut simd_buf3 = &mut simd_buf3[..max]; */
/* let czero = &czero[..max];
let n_weights = &n_weights[..max];
let q__weights = &q__weights[..max]; */
while errp > tolp {
// count += 1;
/* if count > -1 {
println!("posi={:?} errp={:?} tolp={:?} h0={:?} new_h_i={:?} elev_j={:?} area={:?}", posi, errp, tolp, h0, new_h_i, elev_j, area[posi]);
} */
let mut f = new_h_i - h0;
let mut df = 1.0;
/* rec_heights.simd_iter(czero/*simd_func(0.0)*/)
.simd_map(|elev_j| czero/*simd_func(0.0)*/.max(new_h_i as SimdType - elev_j))
.scalar_fill(&mut simd_buf);
(k_fs_weights/*k_fs_fact*/.simd_iter(czero/*simd_func(0.0)*/), simd_buf.simd_iter(czero/*simd_func(0.0)*/))
.zip()
.simd_map(|(k_fs_fact, dh)| k_fs_fact * dh.powf(/*simd_func(n as SimdType - 1.0)*/n_weights))
.scalar_fill(&mut simd_buf2);
(k_df_weights/*k_df_fact*/.simd_iter(czero/*simd_func(0.0)*/), simd_buf.simd_iter(czero/*simd_func(0.0)*/))
.zip()
.simd_map(|(k_df_fact, dh)| k_df_fact * dh.powf(/*simd_func(q_ as SimdType - 1.0)*/q__weights))
.scalar_fill(&mut simd_buf3);
f += (simd_buf.simd_iter(czero/*simd_func(0.0)*/), simd_buf2.simd_iter(czero/*simd_func(0.0)*/), simd_buf3.simd_iter(czero/*simd_func(0.0)*/))
.zip()
/* .simd_map(|(dh, k_fs_fact, k_df_fact)| (k_fs_fact + k_df_fact) * dh)
.simd_reduce(czero/*simd_func(0.0)*/, |a, v| a + v) */
.simd_reduce(czero/*simd_func(0.0)*/, |a, (dh, k_fs_fact, k_df_fact)| a + (k_fs_fact + k_df_fact) * dh)
.sum() as f64;
df += (simd_buf2.simd_iter(czero/*simd_func(0.0)*/), simd_buf3.simd_iter(czero/*simd_func(0.0)*/))
.zip()
/* .simd_map(|(k_fs_fact, k_df_fact)| n as SimdType * k_fs_fact + q_ as SimdType * k_df_fact)
.simd_reduce(czero/*simd_func(0.0)*/, |a, v| a + v) */
.simd_reduce(czero/*simd_func(0.0)*/, |a, (k_fs_fact, k_df_fact)| n as SimdType * k_fs_fact + q_ as SimdType * k_df_fact)
.sum() as f64; */
/* f += (k_fs_weights.simd_iter(simd_func(0.0)), k_df_weights.simd_iter(simd_func(0.0)), simd_buf.simd_iter(simd_func(0.0)))
.zip()
.simd_map(|(k_fs_fact, k_df_fact, dh)| {
// let dh = simd_func(0.0).max(new_h_i as SimdType - elev_j);
k_fs_fact * dh.powf(simd_func(n as SimdType)) + k_df_fact * dh.powf(simd_func(q_ as SimdType))
})
.simd_reduce(simd_func(0.0), |a, v| a + v)
.sum() as f64;
df += (k_fs_weights.simd_iter(simd_func(0.0)), k_df_weights.simd_iter(simd_func(0.0)), rec_heights.simd_iter(simd_func(0.0)))
.zip()
.simd_map(|(k_fs_fact, k_df_fact, dh)| {
// let dh = simd_func(0.0).max(new_h_i as SimdType - elev_j);
n as SimdType * k_fs_fact * dh.powf(simd_func(n as SimdType) - 1.0) +
k_df_fact * q_ as SimdType * dh.powf(simd_func(q_ as SimdType - 1.0))
})
.simd_reduce(simd_func(0.0), |a, v| a + v)
.sum() as f64; */
/* let dh = (&rec_heights[..]).simd_iter(f64s(0.0))
.simd_map(|elev_j| f64s(0.0).max(new_h_i - elev_j));
let k_fs_fact =
(dh, (&k_fs_weights[..]).simd_iter(f64s(0.0)))
.zip()
.simd_map(|(dh, k_fs_fact)| k_fs_fact * dh.powf(f64s(n - 1.0)));
let k_df_fact =
(dh, (&k_df_weights[..]).simd_iter(f64s(0.0)))
.zip()
.simd_map(|dh, k_df_fact| k_df_fact * dh.powf(f64s(q_ - 1.0)));
f += (k_fs_fact, k_df_fact, dh)
.zip()
.simd_map(|(k_fs_fact, k_df_fact, dh)| (k_fs_fact + k_df_fact) * dh)
.simd_reduce(f64s(0.0), |a, v| a + v)
.sum();
df += (k_fs_fact, k_df_fact, dh)
.zip()
.simd_map(|(k_fs_fact, k_df_fact, dh)| n * k_fs_fact + q_ * k_df_fact)
.simd_reduce(f64s(0.0), |a, v| a + v)
.sum(); */
/* (k_fs_weights.simd_iter(f64s(0.0)), k_df_weights.simd_iter(f64s(0.0)), rec_heights.simd_iter(f64s(0.0)))
.zip()
.simd_map(|k_fs_fact, k_df_fact, elev_j| {
f64s(0.0).max(new_h_i - elev_j)
}) */
/* let dh = (-rec_heights + new_h_i).max(czero);
let dh_fs_sample = k_fs_weights * dh.powf(n_weights);
let dh_df_sample = k_df_weights * dh.powf(q_weights);
f += ((dh_fs_sample + dh_df_sample) * dh).sum();
df += (n * dh_fs_sample + q_ * dh_df_sample).sum(); */
/* for kk in (0..max) {
let dh = 0.0.max((new_h_i - rec_heights[kk])/*.abs()*/);
let dh_fs_sample = k_fs_weights[kk] * dh.powf(n - 1.0);
let dh_df_sample = k_df_weights[kk] * dh.powf(q_ - 1.0);
// Want: h_i(t+Δt) = h0 - fact * (h_i(t+Δt) - h_j(t+Δt))^n
// Goal: h_i(t+Δt) - h0 + fact * (h_i(t+Δt) - h_j(t+Δt))^n = 0
f += (dh_fs_sample + dh_df_sample) * dh;
// ∂h_i(t+Δt)/∂n = 1 + fact * n * (h_i(t+Δt) - h_j(t+Δt))^(n - 1)
df += n * dh_fs_sample + q_ * dh_df_sample;
} */
/* for (k_fs_fact, k_df_fact, elev_j) in weights_heights.iter().take(max) {
let dh = 0.0.max((new_h_i - elev_j)/*.abs()*/);
let dh_fs_sample = k_fs_fact * dh.powf(n - 1.0);
let dh_df_sample = k_df_fact * dh.powf(q_ - 1.0);
// Want: h_i(t+Δt) = h0 - fact * (h_i(t+Δt) - h_j(t+Δt))^n
// Goal: h_i(t+Δt) - h0 + fact * (h_i(t+Δt) - h_j(t+Δt))^n = 0
f += (dh_fs_sample + dh_df_sample) * dh;
// ∂h_i(t+Δt)/∂n = 1 + fact * n * (h_i(t+Δt) - h_j(t+Δt))^(n - 1)
df += n * dh_fs_sample + q_ * dh_df_sample;
} */
/* for (kk, posj) in mrec_downhill(&mrec, posi) {
if /*new_ht_i/*old_ht_i*/ > (h_t[posj]/* + uplift(posj) as f64*/)*/old_elev_i /*>=*/> wh[posj] as f64/*h[posj]*//*h_j*/ {
let h_j = h[posj] as /*f64*/SimdType;
let elev_j = h_j/* + a_j.max(0.0)*/;
let dh = 0.0.max((new_h_i as SimdType - elev_j)/*.abs()*/);
let dh_fs_sample = k_fs_fact[kk] as /*f64*/SimdType * dh.powf(n as SimdType - 1.0);
let dh_df_sample = k_df_fact[kk] as /*f64*/SimdType * dh.powf(q_ as SimdType - 1.0);
// Want: h_i(t+Δt) = h0 - fact * (h_i(t+Δt) - h_j(t+Δt))^n
// Goal: h_i(t+Δt) - h0 + fact * (h_i(t+Δt) - h_j(t+Δt))^n = 0
f += ((dh_fs_sample + dh_df_sample) * dh) as f64;
// ∂h_i(t+Δt)/∂n = 1 + fact * n * (h_i(t+Δt) - h_j(t+Δt))^(n - 1)
df += (n as SimdType * dh_fs_sample + q_ as SimdType * dh_df_sample) as f64;
}
} */
for kk in (0..8) {
//if /*new_ht_i/*old_ht_i*/ > (h_t[posj]/* + uplift(posj) as f64*/)*/old_elev_i /*>=*/> wh[posj] as f64/*h[posj]*//*h_j*/ {
if mask[kk].test() {
let h_j = rec_heights[kk];
let elev_j = h_j/* + a_j.max(0.0)*/;
let dh = 0.0.max((new_h_i as SimdType - elev_j)/*.abs()*/);
let dh_fs_sample = k_fs_fact[kk] as /*f64*/SimdType * dh.powf(n as SimdType - 1.0);
let dh_df_sample = k_df_fact[kk] as /*f64*/SimdType * dh.powf(q_ as SimdType - 1.0);
// Want: h_i(t+Δt) = h0 - fact * (h_i(t+Δt) - h_j(t+Δt))^n
// Goal: h_i(t+Δt) - h0 + fact * (h_i(t+Δt) - h_j(t+Δt))^n = 0
f += ((dh_fs_sample + dh_df_sample) * dh) as f64;
// ∂h_i(t+Δt)/∂n = 1 + fact * n * (h_i(t+Δt) - h_j(t+Δt))^(n - 1)
df += (n as SimdType * dh_fs_sample + q_ as SimdType * dh_df_sample) as f64;
}
//}
}
/* for (kk, posj) in mrec_downhill(&mrec, posi) {
if /*new_ht_i/*old_ht_i*/ > (h_t[posj]/* + uplift(posj) as f64*/)*/old_elev_i /*>=*/> wh[posj] as f64/*h[posj]*//*h_j*/ {
let h_j = h[posj] as f64;
let elev_j = h_j/* + a_j.max(0.0)*/;
let dh = 0.0.max((new_h_i - elev_j)/*.abs()*/);
let dh_fs_sample = k_fs_fact.extract(kk) as f64 * dh.powf(n - 1.0);
let dh_df_sample = k_df_fact.extract(kk) as f64 * dh.powf(q_ - 1.0);
// Want: h_i(t+Δt) = h0 - fact * (h_i(t+Δt) - h_j(t+Δt))^n
// Goal: h_i(t+Δt) - h0 + fact * (h_i(t+Δt) - h_j(t+Δt))^n = 0
f += (dh_fs_sample + dh_df_sample) * dh;
// ∂h_i(t+Δt)/∂n = 1 + fact * n * (h_i(t+Δt) - h_j(t+Δt))^(n - 1)
df += n * dh_fs_sample + q_ * dh_df_sample;
}
} */
// hn = h_i(t+Δt, k) - (h_i(t+Δt, k) - (h0 - fact * (h_i(t+Δt, k) - h_j(t+Δt))^n)) / ∂h_i/∂n(t+Δt, k)
let hn = new_h_i - f / df;
// errp = |(h_i(t+Δt, k) - (h0 - fact * (h_i(t+Δt, k) - h_j(t+Δt))^n)) / ∂h_i/∂n(t+Δt, k)|
errp = (hn - new_h_i).abs();
// h_i(t+∆t, k+1) = ...
new_h_i = new_h_i * (1.0 - omega) + hn * omega;
}
// Correct new_h_i to keep it at or under h0.
/* if h0 < new_h_i {
println!("Huh? h0={:?}, new_h_i={:?},", h0, new_h_i);
// debug_assert!(new_h_i <= h0);
} */
new_h_i = h0.min(new_h_i);
/* let omega = 0.875f64 / n;
let tolp = 1.0e-3;
let mut errp = 2.0 * tolp;
// let h0 = old_elev_i;
let fact = k_fs_fact[posi];// k * (p * chunk_area * area[posi] as f64).powf(m) / neighbor_distance.powf(n);
while errp > tolp {
let mut f = new_h_i - h0;
let mut df = 1.0;
// Want: h_i(t+Δt) = h0 - fact * (h_i(t+Δt) - h_j(t+Δt))^n
// Goal: h_i(t+Δt) - h0 + fact * (h_i(t+Δt) - h_j(t+Δt))^n = 0
f += fact * 0.0.max(new_h_i - h_j).powf(n);
// ∂h_i(t+Δt)/∂n = 1 + fact * n * (h_i(t+Δt) - h_j(t+Δt))^(n - 1)
df += fact * n * 0.0.max(new_h_i - h_j).powf(n - 1.0);
// hn = h_i(t+Δt, k) - (h_i(t+Δt, k) - (h0 - fact * (h_i(t+Δt, k) - h_j(t+Δt))^n)) / ∂h_i/∂n(t+Δt, k)
let hn = new_h_i - f / df;
// errp = |(h_i(t+Δt, k) - (h0 - fact * (h_i(t+Δt, k) - h_j(t+Δt))^n)) / ∂h_i/∂n(t+Δt, k)|
errp = (hn - new_h_i).abs();
// h_i(t+∆t, k+1) = ...
new_h_i = new_h_i * (1.0 - omega) + hn * omega;
} */
/* omega=0.875d0/n
tolp=1.d-3
errp=2.d0*tolp
h0=elev(ijk)
do while (errp.gt.tolp)
f=h(ijk)-h0
df=1.d0
if (ht(ijk).gt.ht(ijr)) then
fact = kfint(ijk)*dt*a(ijk)**m/length(ijk)**n
f=f+fact*max(0.d0,h(ijk)-h(ijr))**n
df=df+fact*n*max(0.d0,h(ijk)-h(ijr))**(n-1.d0)
endif
hn=h(ijk)-f/df
errp=abs(hn-h(ijk))
h(ijk)=h(ijk)*(1.d0-omega)+hn*omega
enddo */
}
// df_part = old_df_part - k_df_fact * 0.0.max((new_h_i - elev_j)/*.abs()*/).powf(q_);
// df_part = old_df_part;// - k_df_fact * 0.0.max((new_h_i - elev_j)/*.abs()*/).powf(q_);
/* // Debris flow erosion.
{
let omega = 0.875f64 / q_;
let tolp = 1.0e-3;
let mut errp = 2.0 * tolp;
// let h0 = new_h_i;
let fact = k_df_fact[posi];// k * (p * chunk_area * area[posi] as f64).powf(m) / neighbor_distance.powf(n);
while errp > tolp {
let mut f = new_h_i - h0;
let mut df = 1.0;
// Want: h_i(t+Δt) = h0 - fact * (h_i(t+Δt) - h_j(t+Δt))^n
// Goal: h_i(t+Δt) - h0 + fact * (h_i(t+Δt) - h_j(t+Δt))^n = 0
f += fact * 0.0.max(new_h_i - h_j).powf(q_);
// ∂h_i(t+Δt)/∂n = 1 + fact * n * (h_i(t+Δt) - h_j(t+Δt))^(n - 1)
df += fact * n * 0.0.max(new_h_i - h_j).powf(q_ - 1.0);
// hn = h_i(t+Δt, k) - (h_i(t+Δt, k) - (h0 - fact * (h_i(t+Δt, k) - h_j(t+Δt))^n)) / ∂h_i/∂n(t+Δt, k)
let hn = new_h_i - f / df;
// errp = |(h_i(t+Δt, k) - (h0 - fact * (h_i(t+Δt, k) - h_j(t+Δt))^n)) / ∂h_i/∂n(t+Δt, k)|
errp = (hn - new_h_i).abs();
// h_i(t+∆t, k+1) = ...
new_h_i = new_h_i * (1.0 - omega) + hn * omega;
}
} */
/* {
// Thermal erosion (landslide)
let dxy = (uniform_idx_as_vec2(posi) - uniform_idx_as_vec2(posj)).map(|e| e as f64);
let neighbor_distance = (neighbor_coef * dxy).magnitude();
let dz = (new_h_i - /*h_j*//*h_k*//*wh_j*//*h_j*/wh_j/*.max(hp[posj])*/).max(0.0) / height_scale/* * CONFIG.mountain_scale as f64*/;
let mag_slope = dz/*.abs()*/ / neighbor_distance;
let max_slope = max_slopes[posi] as f64;
if mag_slope > max_slope {
let dh = max_slope * neighbor_distance * height_scale/* / CONFIG.mountain_scale as f64*/;
// new_h_i = (ht[posi] as f64 + l_tot * (mag_slope - max_slope));
// new_h_i = new_h_i - l_tot * (mag_slope - max_slope);
let uplift_i = uplift(posi) as f64;
let g_i = g(posi) as f64;
let dtherm =
//(l_tot * (mag_slope - max_slope)).min(/*dh*//*g_i * *//*uplift_i*//*max_uplift as f64*/dz/*uplift_i*//*(new_h_i/* + uplift_i*/ - /*old_h_i*/old_ht_i)*/./*abs()*/max(0.0) * 0.5/* * 0.5*//*g_i * dz * 0.5*/);
0.0;
new_h_i = new_h_i - dtherm;
// new_h_i = hp[posj] + dh;
// new_h_i = /*old_h_i.max*/(/*wh_j*//*ht[posi] as Compute*//*h_j*/hp[posj]/*ht[posj] as Compute*/ + dh).max(new_h_i - l_tot * (mag_slope - max_slope));
if compute_stats/* && new_h_i > wh_j*/ {
ntherm += 1;
prodscrit_therm += max_slope.ln();
prods_therm += mag_slope.ln();
}
}
} */
lake_sill[posi] = posi as isize;
lake_water_volume[posi] = 0.0;
// If we dipped below the receiver's water level, set our height to the receiver's
// water level.
if new_h_i <= wh_j/*elev_j*//*h[posj]*/ {
if compute_stats {
ncorr += 1;
}
/* lake_sill[posi] = posi as isize;
lake_water_volume[posi] = 0.0; */
// h_[posi] = wh_j* (1.0 - uchaos):;
// new_h_i = elev_j/* + <Alt as Float>::epsilon()*/;
// NOTE: Why wh_j?
// Because in the next round, if the old height is still wh_j or under, it
// will be set precisely equal to the estimated height, meaning it
// effectively "vanishes" and just deposits sediment to its reciever.
// (This is probably related to criteria for block Gauss-Seidel, etc.).
new_h_i = /*h[posj];*/wh_j;// - df_part.max(0.0);
// df_part = 0.0;
/* let lposj = lake_sill[posj];
lake_sill[posi] = lposj;
// TODO: Delete?
lake_water_volume[posi] = 0.0;
if lposj >= 0 {
let lposj = lposj as usize;
lake_water_volume[lposj] += wh_j - new_h_i;
} */
}/* else if new_h_i <= wh_j {
// new_h_i = wh_j;
/* // new_h_i = elev_j;/* + <Alt as Float>::epsilon();*/
let lposj = lake_sill[posj];
lake_sill[posi] = lposj;
// TODO: Delete?
lake_water_volume[posi] = 0.0;
if lposj >= 0 {
let lposj = lposj as usize;
lake_water_volume[lposj] += wh_j - new_h_i;
// println!("lake_sill[{:?}] = {:?}", posi, lposj);
} */
} *//*else if new_h_i - df_part.max(0.0) <= wh_j {
if compute_stats {
ncorr += 1;
}
// df_part = 0.0;
// df_part = (new_h_i - wh_j).max(0.0);
// df_part = (new_h_i - wh_j).max(0.0);
h_[posi] = new_h_i;
df_part = new_h_i - wh_j;
new_h_i = wh_j;// - df_part.max(0.0);
// new_h_i = wh_j;
} */else {
/* lake_sill[posi] = posi as isize;
lake_water_volume[posi] = 0.0; */
// h_[posi] = new_h_i;
// new_h_i -= df_part.max(0.0);
if compute_stats && new_h_i > 0.0 {
let dxy = (uniform_idx_as_vec2(posi) - uniform_idx_as_vec2(posj)).map(|e| e as f64);
let neighbor_distance = (neighbor_coef * dxy).magnitude();
let dz = (new_h_i - /*h_j*//*h_k*/wh_j).max(0.0)/* / height_scale*//* * CONFIG.mountain_scale as f64*/;
let mag_slope = dz/*.abs()*/ / neighbor_distance;
nland += 1;
sumsed_land += sed;
// suma_land += df_part;
sumh += new_h_i;
sums += mag_slope;
}
}
} else {
// df_part = old_df_part;
// df_part = old_a_i;
// h_[posi] = old_elev_i;
// new_h_i = old_elev_i - df_part.max(0.0);
new_h_i = old_elev_i;
let lposj = lake_sill[posj];
lake_sill[posi] = lposj;
if lposj >= 0 {
let lposj = lposj as usize;
lake_water_volume[lposj] += (wh_j - old_elev_i) as Compute;
}
}
// Set max_slope to this node's water height (max of receiver's water height and
// this node's height).
wh[posi] = wh_j.max(new_h_i/* + df_part.max(0.0)*/) as Alt;
/* if (wh[posi] - wh_j.max(h_[posi])).abs() > 1.0e-4 {
println!("deltah_sediment: {:?}, deltah_alluvium: {:?}, deltah: {:?}, hp: {:?}, ap: {:?}, h_p: {:?}, ht: {:?}, at: {:?}, h: {:?}, a: {:?}, h_: {:?}, wh_i: {:?}, wh_j: {:?}",
deltah_sediment[posi], deltah_alluvium[posi], deltah[posi],
hp[posi], ap[posi], h_p[posi],
ht[posi], at[posi],
h[posi], a[posi], h_[posi],
wh[posi], wh_j);
debug_assert_eq!(wh[posi], wh_j.max(h_[posi]));
} */
// Prevent erosion from dropping us below our receiver, unless we were already below it.
// new_h_i = h_j.min(old_h_i + uplift_i).max(new_h_i);
// Find out if this is a lake bottom.
/* let indirection_idx = indirection[posi];
let is_lake_bottom = indirection_idx < 0;
let _fake_neighbor = is_lake_bottom && dxy.x.abs() > 1.0 && dxy.y.abs() > 1.0;
// Test the slope.
let max_slope = max_slopes[posi] as f64;
// Hacky version of thermal erosion: only consider lowest neighbor, don't redistribute
// uplift to other neighbors.
let (posk, h_k) = /* neighbors(posi)
.filter(|&posk| *is_done.at(posk) == done_val)
// .filter(|&posk| *is_done.at(posk) == done_val || is_ocean(posk))
.map(|posk| (posk, h[posk] as f64))
// .filter(|&(posk, h_k)| *is_done.at(posk) == done_val || h_k < 0.0)
.min_by(|&(_, a), &(_, b)| a.partial_cmp(&b).unwrap())
.unwrap_or((posj, h_j)); */
(posj, h_j);
// .max(h_j);
let (posk, h_k) = if h_k < h_j {
(posk, h_k)
} else {
(posj, h_j)
};
let dxy = (uniform_idx_as_vec2(posi) - uniform_idx_as_vec2(posk)).map(|e| e as f64);
let neighbor_distance = (neighbor_coef * dxy).magnitude();
let dz = (new_h_i - /*h_j*/h_k).max(0.0) / height_scale/* * CONFIG.mountain_scale as f64*/;
let mag_slope = dz/*.abs()*/ / neighbor_distance; */
// If you're on the lake bottom and not right next to your neighbor, don't compute a
// slope.
if
/* !is_lake_bottom */ /* !fake_neighbor */
true {
/* if
/* !is_lake_bottom && */
mag_slope > max_slope {
// println!("old slope: {:?}, new slope: {:?}, dz: {:?}, h_j: {:?}, new_h_i: {:?}", mag_slope, max_slope, dz, h_j, new_h_i);
// Thermal erosion says this can't happen, so we reduce dh_i to make the slope
// exactly max_slope.
// max_slope = (old_h_i + dh - h_j) / height_scale/* * CONFIG.mountain_scale */ / NEIGHBOR_DISTANCE
// dh = max_slope * NEIGHBOR_DISTANCE * height_scale/* / CONFIG.mountain_scale */ + h_j - old_h_i.
let dh = max_slope * neighbor_distance * height_scale/* / CONFIG.mountain_scale as f64*/;
new_h_i = /*h_j.max*/(h_k + dh).max(new_h_i - l_tot * (mag_slope - max_slope));
let dz = (new_h_i - /*h_j*/h_k).max(0.0) / height_scale/* * CONFIG.mountain_scale as f64*/;
let slope = dz/*.abs()*/ / neighbor_distance;
sums += slope;
/* max_slopes[posi] = /*(mag_slope - max_slope) * */kd(posi);
sums += mag_slope; */
// let slope = dz.signum() * max_slope;
// new_h_i = slope * neighbor_distance * height_scale /* / CONFIG.mountain_scale as f64 */ + h_j;
// sums += max_slope;
} else {
// max_slopes[posi] = 0.0;
sums += mag_slope;
// Just use the computed rate.
} */
h[posi] = new_h_i as Alt;
// a[posi] = df_part as Alt;
// Make sure to update the basement as well!
// b[posi] = (old_b_i + uplift_i).min(new_h_i) as f32;
}
}
// *is_done.at(posi) = done_val;
if compute_stats {
sumsed += sed;
// suma += a[posi];
let h_i = h[posi];
if h_i > 0.0 {
minh = h_i.min(minh);
}
maxh = h_i.max(maxh);
}
/* if (h_[posi] - (h[posi] + a[posi].max(0.0))).abs() > 1.0e-6 {
println!("posi: {:?}, dh: {:?}, deltah_sediment: {:?}, deltah_alluvium: {:?}, deltah: {:?}, hp: {:?}, ap: {:?}, h_p: {:?}, ht: {:?}, at: {:?}, h: {:?}, a: {:?}, h_: {:?}",
posi, dh[posi],
deltah_sediment[posi], deltah_alluvium[posi], deltah[posi],
hp[posi], ap[posi], h_p[posi],
ht[posi], at[posi],
h[posi], a[posi], h_[posi],
);
debug_assert_eq!(h[posi] + a[posi].max(0.0), h_[posi]);
} */
// Add sum of squares of errors.
sum_err += (h[posi]/*.max(wh[posi])*/ as Compute/* + a[posi].max(0.0) as Compute*/ - /*hp*/h_p[posi] as Compute/* - ap[posi].max(0.0) as Compute*/).powi(2);
}
log::debug!(
"(Done erosion computation, time={:?}ms)",
start_time.elapsed().as_millis()
);
err = (sum_err / /*newh*/mstack.len() as Compute).sqrt();
/* if max_g == 0.0 {
err = 0.0;
} */
if n_gs_stream_power_law == max_n_gs_stream_power_law {
log::warn!(
"Beware: Gauss-Siedel scheme not convergent: err={:?}, expected={:?}",
err,
tol
);
}
}
//b=min(h,b)
// update the basement
//
// NOTE: Despite this not quite applying since basement order and height order differ, we once
// again borrow the implicit FastScape stack order. If this becomes a problem we can easily
// compute a separate stack order just for basement.
/* for &posi in &*newh {
let posi = posi as usize;
let old_b_i = b[posi];
let h_i = h[posi];
let uplift_i = uplift(posi) as Alt;
// First, add uplift...
let mut new_b_i = (old_b_i + uplift_i).min(h_i);
let posj = dh[posi];
// Sediment height normal to bedrock. NOTE: Currently we can actually have sedment and
// bedrock slope at different heights, meaning there's no uniform slope. There are
// probably more correct ways to account for this, such as averaging, integrating, or doing
// things by mass / volume instead of height, but for now we use the time-honored
// technique of ignoring the problem.
let h_normal = if posj < 0 {
// Egress with no outgoing flows; for now, we assume this means normal and vertical
// coincide.
(h_i - new_b_i) as f64
} else {
let posj = posj as usize;
let b_j = b[posj];
let dxy = (uniform_idx_as_vec2(posi) - uniform_idx_as_vec2(posj)).map(|e| e as f64);
let neighbor_distance_squared = (neighbor_coef * dxy).magnitude_squared();
let vertical_sed = (h_i - new_b_i) as f64;
let db = (new_b_i - b_j) as f64;
// H_i_fact = (b_i - b_j) / (||p_i - p_j||^2 + (b_i - b_j)^2)
let h_i_fact = db / (neighbor_distance_squared + db * db);
let h_i_vertical = 1.0 - h_i_fact * db;
// ||H_i|| = (h_i - b_i) * √((H_i_fact^2 * ||p_i - p_j||^2 + (1 - H_i_fact * (b_i - b_j))^2))
vertical_sed * (h_i_fact * h_i_fact * neighbor_distance_squared + h_i_vertical * h_i_vertical).sqrt()
};
// Rate of sediment production: -∂z_b / ∂t = ε₀ * e^(-αH)
let p_i = epsilon_0_tot * f64::exp(-alpha * h_normal);
// println!("h_normal = {:?}, p_i = {:?}", h_normal, p_i);
new_b_i -= p_i as Alt;
b[posi] = new_b_i;
} */
// TODO: Consider taking advantage of multi-receiver flow here.
b.par_iter_mut()
.zip(h.par_iter())
.enumerate()
.for_each(|(posi, (mut b, &h_i))| {
let old_b_i = *b;
let uplift_i = uplift(posi) as Alt;
// First, add uplift...
/* let mut new_b_i = (old_b_i + uplift_i).min(h_i); */
let mut new_b_i = old_b_i + uplift_i;
let posj = dh[posi];
// Sediment height normal to bedrock. NOTE: Currently we can actually have sedment and
// bedrock slope at different heights, meaning there's no uniform slope. There are
// probably more correct ways to account for this, such as averaging, integrating, or doing
// things by mass / volume instead of height, but for now we use the time-honored
// technique of ignoring the problem.
let vertical_sed = (h_i - new_b_i).max(0.0) as f64;
let h_normal = if posj < 0 {
// Egress with no outgoing flows; for now, we assume this means normal and vertical
// coincide.
vertical_sed
} else {
let posj = posj as usize;
let h_j = h[posj];
let dxy = (uniform_idx_as_vec2(posi) - uniform_idx_as_vec2(posj)).map(|e| e as f64);
let neighbor_distance_squared = (neighbor_coef * dxy).magnitude_squared();
let dh = (h_i - h_j) as f64;
// H_i_fact = (h_i - h_j) / (||p_i - p_j||^2 + (h_i - h_j)^2)
let h_i_fact = dh / (neighbor_distance_squared + dh * dh);
let h_i_vertical = 1.0 - h_i_fact * dh;
// ||H_i|| = (h_i - b_i) * √((H_i_fact^2 * ||p_i - p_j||^2 + (1 - H_i_fact * (h_i - h_j))^2))
vertical_sed
* (h_i_fact * h_i_fact * neighbor_distance_squared
+ h_i_vertical * h_i_vertical)
.sqrt()
};
// Rate of sediment production: -∂z_b / ∂t = ε₀ * e^(-αH)
let p_i = epsilon_0(posi) as f64 * dt * f64::exp(-alpha(posi) as f64 * h_normal);
// println!("h_normal = {:?}, p_i = {:?}", h_normal, p_i);
new_b_i -= p_i as Alt;
// Clamp basement so it doesn't exceed height.
new_b_i = new_b_i.min(h_i);
*b = new_b_i;
});
log::debug!("Done updating basement and applying soil production...");
// update the height to reflect sediment flux.
h.par_iter_mut().enumerate().for_each(|(posi, mut h)| {
let lposi = lake_sill[posi];
if lposi >= 0 {
let lposi = lposi as usize;
if lake_water_volume[lposi] > 0.0 {
// +max(0.d0,min(lake_sediment(lake_sill(ij)),lake_water_volume(lake_sill(ij))))/
// lake_water_volume(lake_sill(ij))*(water(ij)-h(ij))
*h += (0.0.max(
/*lake_sediment[lposi]*/ lake_silt[posi].min(lake_water_volume[lposi]),
) / lake_water_volume[lposi]
* (wh[posi]/* - a[posi].max(0.0)*/ - *h) as Compute)
as Alt;
}
}
});
// do ij=1,nn
// if (lake_sill(ij).ne.0) then
// if (lake_water_volume(lake_sill(ij)).gt.0.d0) h(ij)=h(ij) &
// +max(0.d0,min(lake_sediment(lake_sill(ij)),lake_water_volume(lake_sill(ij))))/ &
// lake_water_volume(lake_sill(ij))*(water(ij)-h(ij))
// endif
// enddo
/* a.par_iter_mut().enumerate().for_each(|(posi, mut a)| {
let lposi = lake_sill[posi];
if lposi >= 0 {
let lposi = lposi as usize;
let sed_flux = (0.0.max(lake_sediment[lposi].min(lake_water_volume[lposi])));
let volume = lake_water_volume[lposi] - sed_flux;
if volume > 0.0 {
// +max(0.d0,min(lake_sediment(lake_sill(ij)),lake_water_volume(lake_sill(ij))))/
// lake_water_volume(lake_sill(ij))*(water(ij)-h(ij))
*a +=
(0.0.max(lake_alluvium[lposi].min(volume)) /
lake_water_volume[lposi] *
(wh[posi] - h[posi] - (*a).max(0.0)) as Compute) as Alt;
}
}
*a = a.max(0.0);
}); */
log::debug!(
"Done applying stream power (max height: {:?}) (avg height: {:?}) (min height: {:?}) (avg slope: {:?})\n \
(above talus angle, geom. mean slope [actual/critical/ratio]: {:?} / {:?} / {:?})\n \
(old avg alluvium thickness [all/land]: {:?} / {:?})\n \
(old avg sediment thickness [all/land]: {:?} / {:?})\n \
(num land: {:?}) (num thermal: {:?}) (num corrected: {:?})",
maxh,
avgz(sumh, nland),
minh,
avgz(sums, nland),
geomz(prods_therm, ntherm),
geomz(prodscrit_therm, ntherm),
geomz(prods_therm - prodscrit_therm, ntherm),
avgz(suma, newh.len()),
avgz(suma_land, nland),
avgz(sumsed, newh.len()),
avgz(sumsed_land, nland),
nland,
ntherm,
ncorr,
);
// Apply thermal erosion.
maxh = 0.0;
minh = <Alt as Float>::infinity();
sumh = 0.0;
sums = 0.0;
sumsed = 0.0;
suma = 0.0;
sumsed_land = 0.0;
suma_land = 0.0;
nland = 0usize;
ncorr = 0usize;
ntherm = 0usize;
prods_therm = 0.0;
prodscrit_therm = 0.0;
for &posi in &*newh {
let posi = posi as usize;
let old_h_i = h/*b*/[posi] as f64;
// let old_a_i = a[posi];
let old_b_i = b[posi] as f64;
let sed = (old_h_i - old_b_i) as f64;
let max_slope = max_slopes[posi];
// Remember k_d for this chunk in max_slopes.
// higher max_slope => much lower kd_factor.
let kd_factor =
// 1.0;
(1.0 / (max_slope / mid_slope/*.sqrt()*//*.powf(0.03125)*/).powf(/*2.0*/2.0))/*.min(kdsed)*/;
max_slopes[posi] = if sed > sediment_thickness && kdsed > 0.0 {
// Sediment
kdsed /* * kd_factor*/
} else {
// Bedrock
kd(posi) /* / kd_factor*/
};
let posj = dh[posi];
if posj < 0 {
if posj == -1 {
panic!("Disconnected lake!");
}
// wh for oceans is always at least min_erosion_height.
// let uplift_i = uplift(posi) as Alt;
// wh[posi] = min_erosion_height.max(ht[posi] + uplift_i);
wh[posi] = min_erosion_height.max(
/*ht[posi] + at[posi].max(0.0)*//*h_t[posi] + uplift_i*/ old_h_i as Alt,
);
// Egress with no outgoing flows.
} else {
let posj = posj as usize;
// Find the water height for this chunk's receiver; we only apply thermal erosion
// for chunks above water.
let mut wh_j = wh[posj] as f64;
// If you're on the lake bottom and not right next to your neighbor, don't compute a
// slope.
let mut new_h_i = /*old_h_i*//*old_h_i + old_a_i.max(0.0)*/old_h_i; /*old_b_i;*/
if
/* !is_lake_bottom */ /* !fake_neighbor */
wh_j < old_h_i
/* + old_a_i.max(0.0)*/
{
// NOTE: Currently assuming that talus angle is not eroded once the substance is
// totally submerged in water, and that talus angle if part of the substance is
// in water is 0 (or the same as the dry part, if this is set to wh_j), but
// actually that's probably not true.
let old_h_j = (h[posj]/* + a[posj].max(0.0)*/) as f64;
let h_j = /*h[posj] as f64*//*wh_j*/old_h_j;
// let h_j = b[posj] as f64;
/* let indirection_idx = indirection[posi];
let is_lake_bottom = indirection_idx < 0;
let _fake_neighbor = is_lake_bottom && dxy.x.abs() > 1.0 && dxy.y.abs() > 1.0; */
// Test the slope.
// Hacky version of thermal erosion: only consider lowest neighbor, don't redistribute
// uplift to other neighbors.
let (posk, h_k) = /* neighbors(posi)
.filter(|&posk| *is_done.at(posk) == done_val)
// .filter(|&posk| *is_done.at(posk) == done_val || is_ocean(posk))
.map(|posk| (posk, h[posk] as f64))
// .filter(|&(posk, h_k)| *is_done.at(posk) == done_val || h_k < 0.0)
.min_by(|&(_, a), &(_, b)| a.partial_cmp(&b).unwrap())
.unwrap_or((posj, h_j)); */
(posj, h_j);
// .max(h_j);
let (posk, h_k) = if h_k < h_j { (posk, h_k) } else { (posj, h_j) };
let dxy = (uniform_idx_as_vec2(posi) - uniform_idx_as_vec2(posk)).map(|e| e as f64);
let neighbor_distance = (neighbor_coef * dxy).magnitude();
let dz = (new_h_i - /*h_j*/h_k).max(0.0)/* / height_scale*//* * CONFIG.mountain_scale as f64*/;
let mag_slope = dz/*.abs()*/ / neighbor_distance;
if
/* !is_lake_bottom && */
mag_slope >= max_slope {
// println!("old slope: {:?}, new slope: {:?}, dz: {:?}, h_j: {:?}, new_h_i: {:?}", mag_slope, max_slope, dz, h_j, new_h_i);
// Thermal erosion says this can't happen, so we reduce dh_i to make the slope
// exactly max_slope.
// max_slope = (old_h_i + dh - h_j) / height_scale/* * CONFIG.mountain_scale */ / NEIGHBOR_DISTANCE
// dh = max_slope * NEIGHBOR_DISTANCE * height_scale/* / CONFIG.mountain_scale */ + h_j - old_h_i.
let dh = max_slope * neighbor_distance/* * height_scale*//* / CONFIG.mountain_scale as f64*/;
// new_h_i = /*h_j.max*//*(h_k + dh).max*/(/*new_h_i*/ht[posi] as f64 + l_tot * (mag_slope - max_slope));
// new_h_i = /*h_j.max*//*(h_k + dh).max*/(/*new_h_i*/h_k + dh + l_tot * (mag_slope - max_slope));
// new_h_i = /*h_j.max*//*(h_k + dh).max*/(new_h_i - l_tot * (mag_slope - max_slope));
let dtherm = 0.0/*dz - dh*//*(l_tot * (mag_slope - max_slope)).min(/*(dz/* - dh*/) / 2.0*/(1.0 + max_g) * max_uplift as f64)*/;
new_h_i = /*h_j.max*//*(h_k + dh).max*/(/*new_h_i*//*h_k + dh*/new_h_i - dtherm);
/* let new_h_j = (old_h_j + dtherm).min(old_h_j.max(new_h_i));
h[posj] = new_h_j as Alt;
wh_j = wh_j.max(new_h_j);
wh[posj] = wh_j as Alt; */
// No more hillslope processes on newly exposed bedrock.
// max_slopes[posi] = 0.0;
// max_slopes[posi] = l;
// max_slopes[posi] = 0.0;
if new_h_i <= wh_j {
if compute_stats {
ncorr += 1;
}
// new_h_i = wh_j;
// new_h_i = wh_j - old_a_i.max(0.0);
} else {
if compute_stats && new_h_i > 0.0 {
let dz = (new_h_i - /*h_j*//*h_k*//*wh_j*/h_j).max(0.0)/* / height_scale*//* * CONFIG.mountain_scale as f64*/;
let slope = dz/*.abs()*/ / neighbor_distance;
sums += slope;
// max_slopes[posi] = /*(mag_slope - max_slope) * */max_slopes[posi].max(kdsed);
/* max_slopes[posi] = /*(mag_slope - max_slope) * */kd(posi);
sums += mag_slope; */
/* if kd_factor < 1.0 {
max_slopes[posi] /= kd_factor;
} else {
max_slopes[posi] *= kd_factor;
} */
// max_slopes[posi] *= kd_factor;
nland += 1;
sumh += new_h_i/* - old_a_i*/;
sumsed_land += sed;
// suma_land += old_a_i;
}
// let slope = dz.signum() * max_slope;
// new_h_i = slope * neighbor_distance * height_scale /* / CONFIG.mountain_scale as f64 */ + h_j;
// sums += max_slope;
}
if compute_stats {
ntherm += 1;
prodscrit_therm += max_slope.ln();
prods_therm += mag_slope.ln();
}
} else {
// Poorly emulating nonlinear hillslope transport as described by
// http://eps.berkeley.edu/~bill/papers/112.pdf.
// sqrt(3)/3*32*32/(128000/2)
// Also Perron-2011-Journal_of_Geophysical_Research__Earth_Surface.pdf
let slope_ratio = (mag_slope / max_slope).powi(2);
let slope_nonlinear_factor =
slope_ratio * ((3.0 - slope_ratio) / (1.0 - slope_ratio).powi(2));
max_slopes[posi] += (max_slopes[posi] * slope_nonlinear_factor).min(max_stable);
// max_slopes[posi] = (max_slopes[posi] * 1.0 / (1.0 - (mag_slope / max_slope).powi(2)));
/*if kd_factor < 1.0 {
max_slopes[posi] *= kd_factor;
}*/
/* if (old_h_i - old_b_i as f64) <= sediment_thickness {
max_slopes[posi] *= kd_factor;
} */
// max_slopes[posi] *= kd_factor;
if compute_stats && new_h_i > 0.0 {
sums += mag_slope;
// Just use the computed rate.
nland += 1;
sumh += new_h_i/* - old_a_i*/;
sumsed_land += sed;
// suma_land += old_a_i;
}
}
h/*b*/[posi] = /*old_h_i.min(new_h_i)*/(new_h_i/* - old_a_i.max(0.0)*/) as Alt;
// Make sure to update the basement as well!
// b[posi] = old_b_i.min(new_h_i) as Alt;
b[posi] = old_b_i.min(old_b_i + (/*old_h_i.min(*/new_h_i/*)*/ - old_h_i)) as Alt;
// sumh += new_h_i;
}
// Set wh to this node's water height (max of receiver's water height and
// this node's height).
wh[posi] = wh_j.max(new_h_i) as Alt;
}
// max_slopes[posi] = max_slopes[posi].min(max_stable);
// *is_done.at(posi) = done_val;
if compute_stats {
sumsed += sed;
// suma += old_a_i;
let h_i = h[posi];
if h_i > 0.0 {
minh = h_i.min(minh);
}
maxh = h_i.max(maxh);
}
}
log::debug!(
"Done applying thermal erosion (max height: {:?}) (avg height: {:?}) (min height: {:?}) (avg slope: {:?})\n \
(above talus angle, geom. mean slope [actual/critical/ratio]: {:?} / {:?} / {:?})\n \
(avg alluvium thickness [all/land]: {:?} / {:?})\n \
(avg sediment thickness [all/land]: {:?} / {:?})\n \
(num land: {:?}) (num thermal: {:?}) (num corrected: {:?})",
maxh,
avgz(sumh, nland),
minh,
avgz(sums, nland),
geomz(prods_therm, ntherm),
geomz(prodscrit_therm, ntherm),
geomz(prods_therm - prodscrit_therm, ntherm),
avgz(suma, newh.len()),
avgz(suma_land, nland),
avgz(sumsed, newh.len()),
avgz(sumsed_land, nland),
nland,
ntherm,
ncorr,
);
// Apply hillslope diffusion.
diffusion(
nx,
ny,
nx as f64 * dx,
ny as f64 * dy,
dt,
(),
h,
b,
|posi| max_slopes[posi], /*kd*/
/* kdsed */ -1.0,
);
log::debug!("Done applying diffusion.");
log::debug!("Done eroding.");
}
/// The Planchon-Darboux algorithm for extracting drainage networks.
///
/// http://horizon.documentation.ird.fr/exl-doc/pleins_textes/pleins_textes_7/sous_copyright/010031925.pdf
///
/// See https://github.com/mewo2/terrain/blob/master/terrain.js
pub fn fill_sinks<F: Float + Send + Sync>(
h: impl Fn(usize) -> F + Sync,
is_ocean: impl Fn(usize) -> bool + Sync,
) -> Box<[F]> {
// NOTE: We are using the "exact" version of depression-filling, which is slower but doesn't
// change altitudes.
let epsilon = /*1.0 / (1 << 7) as f32 * height_scale/* / CONFIG.mountain_scale */*//*0.0*/F::zero();
let infinity = F::infinity(); //f32::INFINITY;
let range = 0..WORLD_SIZE.x * WORLD_SIZE.y;
let oldh = range
.into_par_iter()
.map(|posi| {
/* let h = h(posi);
let is_near_edge = is_ocean(posi);
if is_near_edge {
// debug_assert!(h <= 0.0);
// h
h.min(0.0)
} else {
h
} */
h(posi)
})
.collect::<Vec<_>>()
.into_boxed_slice();
let mut newh = oldh
.par_iter()
.enumerate()
.map(|(posi, &h)| {
let is_near_edge = is_ocean(posi);
if is_near_edge {
debug_assert!(h <= F::zero());
h
} else {
infinity
}
})
.collect::<Vec<_>>()
.into_boxed_slice();
loop {
let mut changed = false;
for posi in 0..newh.len() {
let nh = newh[posi];
let oh = oldh[posi];
if nh == oh {
continue;
}
for nposi in neighbors(posi) {
let onbh = newh[nposi];
let nbh = onbh + epsilon;
// If there is even one path downhill from this node's original height, fix
// the node's new height to be equal to its original height, and break out of the
// loop.
if oh >= nbh {
newh[posi] = oh;
changed = true;
break;
}
// Otherwise, we know this node's original height is below the new height of all of
// its neighbors. Then, we try to choose the minimum new height among all this
// node's neighbors that is (plus a constant epislon) below this node's new height.
//
// (If there is no such node, then the node's new height must be (minus a constant
// epsilon) lower than the new height of every neighbor, but above its original
// height. But this can't be true for *all* nodes, because if this is true for any
// node, it is not true of any of its neighbors. So all neighbors must either be
// their original heights, or we will have another iteration of the loop (one of
// its neighbors was changed to its minimum neighbor). In the second case, in the
// next round, all neighbor heights will be at most nh + epsilon).
if nh > nbh && nbh > oh {
newh[posi] = nbh;
changed = true;
}
}
}
if !changed {
return newh;
}
}
}
/// Algorithm for finding and connecting lakes. Assumes newh and downhill have already
/// been computed. When a lake's value is negative, it is its own lake root, and when it is 0, it
/// is on the boundary of Ω.
///
/// Returns a 4-tuple containing:
/// - The first indirection vector (associating chunk indices with their lake's root node).
/// - A list of chunks on the boundary (non-lake egress points).
/// - The second indirection vector (associating chunk indices with their lake's adjacency list).
/// - The adjacency list (stored in a single vector), indexed by the second indirection vector.
pub fn get_lakes<F: Float>(
h: impl Fn(usize) -> F,
downhill: &mut [isize],
) -> (usize, Box<[i32]>, Box<[u32]>, F) {
// Associates each lake index with its root node (the deepest one in the lake), and a list of
// adjacent lakes. The list of adjacent lakes includes the lake index of the adjacent lake,
// and a node index in the adjacent lake which has a neighbor in this lake. The particular
// neighbor should be the one that generates the minimum "pass height" encountered so far,
// i.e. the chosen pair should minimize the maximum of the heights of the nodes in the pair.
// We start by taking steps to allocate an indirection vector to use for storing lake indices.
// Initially, each entry in this vector will contain 0. We iterate in ascending order through
// the sorted newh. If the node has downhill == -2, it is a boundary node Ω and we store it in
// the boundary vector. If the node has downhill == -1, it is a fresh lake, and we store 0 in
// it. If the node has non-negative downhill, we use the downhill index to find the next node
// down; if the downhill node has a lake entry < 0, then downhill is a lake and its entry
// can be negated to find an (over)estimate of the number of entries it needs. If the downhill
// node has a non-negative entry, then its entry is the lake index for this node, so we should
// access that entry and increment it, then set our own entry to it.
let mut boundary = Vec::with_capacity(downhill.len());
let mut indirection = vec![/*-1i32*/0i32; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice();
let mut newh = Vec::with_capacity(downhill.len());
// Now, we know that the sum of all the indirection nodes will be the same as the number of
// nodes. We can allocate a *single* vector with 8 * nodes entries, to be used as storage
// space, and augment our indirection vector with the starting index, resulting in a vector of
// slices. As we go, we replace each lake entry with its index in the new indirection buffer,
// allowing
let mut lakes = vec![(-1, 0); /*(indirection.len() - boundary.len())*/indirection.len() * 8];
let mut indirection_ = vec![0u32; indirection.len()];
// First, find all the lakes.
let mut lake_roots = Vec::with_capacity(downhill.len()); // Test
for (chunk_idx, &dh) in (&*downhill)
.into_iter()
.enumerate()
.filter(|(_, &dh_idx)| dh_idx < 0)
{
if dh == -2 {
// On the boundary, add to the boundary vector.
boundary.push(chunk_idx);
// Still considered a lake root, though.
} else if dh == -1 {
lake_roots.push(chunk_idx);
} else {
panic!("Impossible.");
}
// Find all the nodes uphill from this lake. Since there is only one outgoing edge
// in the "downhill" graph, this is guaranteed never to visit a node more than
// once.
let start = newh.len();
let indirection_idx = (start * 8) as u32;
// New lake root
newh.push(chunk_idx as u32);
let mut cur = start;
while cur < newh.len() {
let node = newh[cur as usize];
for child in uphill(downhill, node as usize) {
// lake_idx is the index of our lake root.
indirection[child] = chunk_idx as i32;
indirection_[child] = indirection_idx;
newh.push(child as u32);
}
cur += 1;
}
// Find the number of elements pushed.
let length = (cur - start) * 8;
// New lake root (lakes have indirection set to -length).
indirection[chunk_idx] = -(length as i32);
indirection_[chunk_idx] = indirection_idx;
}
assert_eq!(newh.len(), downhill.len());
log::debug!("Old lake roots: {:?}", lake_roots.len());
let newh = newh.into_boxed_slice();
let mut maxh = -F::infinity();
// Now, we know that the sum of all the indirection nodes will be the same as the number of
// nodes. We can allocate a *single* vector with 8 * nodes entries, to be used as storage
// space, and augment our indirection vector with the starting index, resulting in a vector of
// slices. As we go, we replace each lake entry with its index in the new indirection buffer,
// allowing
for &chunk_idx_ in newh.into_iter() {
let chunk_idx = chunk_idx_ as usize;
let lake_idx_ = indirection_[chunk_idx];
let lake_idx = lake_idx_ as usize;
let height = h(chunk_idx_ as usize);
// While we're here, compute the max elevation difference from zero among all nodes.
maxh = maxh.max(height.abs());
// For every neighbor, check to see whether it is already set; if the neighbor is set,
// its height is ≤ our height. We should search through the edge list for the
// neighbor's lake to see if there's an entry; if not, we insert, and otherwise we
// get its height. We do the same thing in our own lake's entry list. If the maximum
// of the heights we get out from this process is greater than the maximum of this
// chunk and its neighbor chunk, we switch to this new edge.
for neighbor_idx in neighbors(chunk_idx) {
let neighbor_height = h(neighbor_idx);
let neighbor_lake_idx_ = indirection_[neighbor_idx];
let neighbor_lake_idx = neighbor_lake_idx_ as usize;
if neighbor_lake_idx_ < lake_idx_ {
// We found an adjacent node that is not on the boundary and has already
// been processed, and also has a non-matching lake. Therefore we can use
// split_at_mut to get disjoint slices.
let (lake, neighbor_lake) = {
// println!("Okay, {:?} < {:?}", neighbor_lake_idx, lake_idx);
let (neighbor_lake, lake) = lakes.split_at_mut(lake_idx);
(lake, &mut neighbor_lake[neighbor_lake_idx..])
};
// We don't actually need to know the real length here, because we've reserved
// enough spaces that we should always either find a -1 (available slot) or an
// entry for this chunk.
'outer: for pass in lake.iter_mut() {
if pass.0 == -1 {
// println!("One time, in my mind, one time... (neighbor lake={:?} lake={:?})", neighbor_lake_idx, lake_idx_);
*pass = (chunk_idx_ as i32, neighbor_idx as u32);
// Should never run out of -1s in the neighbor lake if we didn't find
// the neighbor lake in our lake.
*neighbor_lake
.iter_mut()
.filter(|neighbor_pass| neighbor_pass.0 == -1)
.next()
.unwrap() = (neighbor_idx as i32, chunk_idx_);
// panic!("Should never happen; maybe didn't reserve enough space in lakes?")
break;
} else if indirection_[pass.1 as usize] == neighbor_lake_idx_ {
for neighbor_pass in neighbor_lake.iter_mut() {
// Should never run into -1 while looping here, since (i, j)
// and (j, i) should be added together.
if indirection_[neighbor_pass.1 as usize] == lake_idx_ {
let pass_height = h(neighbor_pass.1 as usize);
let neighbor_pass_height = h(pass.1 as usize);
if height.max(neighbor_height)
< pass_height.max(neighbor_pass_height)
{
*pass = (chunk_idx_ as i32, neighbor_idx as u32);
*neighbor_pass = (neighbor_idx as i32, chunk_idx_);
}
break 'outer;
}
}
// Should always find a corresponding match in the neighbor lake if
// we found the neighbor lake in our lake.
let indirection_idx = indirection[chunk_idx];
let lake_chunk_idx = if indirection_idx >= 0 {
indirection_idx as usize
} else {
chunk_idx as usize
};
let indirection_idx = indirection[neighbor_idx];
let neighbor_lake_chunk_idx = if indirection_idx >= 0 {
indirection_idx as usize
} else {
neighbor_idx as usize
};
panic!(
"For edge {:?} between lakes {:?}, couldn't find partner \
for pass {:?}. \
Should never happen; maybe forgot to set both edges?",
(
(chunk_idx, uniform_idx_as_vec2(chunk_idx as usize)),
(neighbor_idx, uniform_idx_as_vec2(neighbor_idx as usize))
),
(
(
lake_chunk_idx,
uniform_idx_as_vec2(lake_chunk_idx as usize),
lake_idx_
),
(
neighbor_lake_chunk_idx,
uniform_idx_as_vec2(neighbor_lake_chunk_idx as usize),
neighbor_lake_idx_
)
),
(
(pass.0, uniform_idx_as_vec2(pass.0 as usize)),
(pass.1, uniform_idx_as_vec2(pass.1 as usize))
),
);
}
}
}
}
}
// Now it's time to calculate the lake connections graph T_L covering G_L.
let mut candidates = BinaryHeap::with_capacity(indirection.len());
// let mut pass_flows : Vec<i32> = vec![-1; indirection.len()];
// We start by going through each pass, deleting the ones that point out of boundary nodes and
// adding ones that point into boundary nodes from non-boundary nodes.
for edge in &mut lakes {
let edge: &mut (i32, u32) = edge;
// Only consider valid elements.
if edge.0 == -1 {
continue;
}
// Check to see if this edge points out *from* a boundary node.
// Delete it if so.
let from = edge.0 as usize;
let indirection_idx = indirection[from];
let lake_idx = if indirection_idx < 0 {
from
} else {
indirection_idx as usize
};
if downhill[lake_idx] == -2 {
edge.0 = -1;
continue;
}
// This edge is not pointing out from a boundary node.
// Check to see if this edge points *to* a boundary node.
// Add it to the candidate set if so.
let to = edge.1 as usize;
let indirection_idx = indirection[to];
let lake_idx = if indirection_idx < 0 {
to
} else {
indirection_idx as usize
};
if downhill[lake_idx] == -2 {
// Find the pass height
let pass = h(from).max(h(to));
candidates.push(Reverse((
NotNan::new(pass).unwrap(),
(edge.0 as u32, edge.1),
)));
}
}
let mut pass_flows_sorted: Vec<usize> = Vec::with_capacity(indirection.len());
// Now all passes pointing to the boundary are in candidates.
// As long as there are still candidates, we continue...
// NOTE: After a lake is added to the stream tree, the lake bottom's indirection entry no
// longer negates its maximum number of passes, but the lake side of the chosen pass. As such,
// we should make sure not to rely on using it this way afterwards.
// provides information about the number of candidate passes in a lake.
while let Some(Reverse((_, (chunk_idx, neighbor_idx)))) = candidates.pop() {
// We have the smallest candidate.
let lake_idx = indirection_[chunk_idx as usize] as usize;
let indirection_idx = indirection[chunk_idx as usize];
let lake_chunk_idx = if indirection_idx >= 0 {
indirection_idx as usize
} else {
chunk_idx as usize
};
if downhill[lake_chunk_idx] >= 0 {
// Candidate lake has already been connected.
continue;
}
// println!("Got here...");
assert_eq!(downhill[lake_chunk_idx], -1);
// Candidate lake has not yet been connected, and is the lowest candidate.
// Delete all other outgoing edges.
let max_len = -if indirection_idx < 0 {
indirection_idx
} else {
indirection[indirection_idx as usize]
} as usize;
// Add this chunk to the tree.
downhill[lake_chunk_idx] = neighbor_idx as isize;
// Also set the indirection of the lake bottom to the negation of the
// lake side of the chosen pass (chunk_idx).
// NOTE: This can't overflow i32 because WORLD_SIZE.x * WORLD_SIZE.y should fit in an i32.
indirection[lake_chunk_idx] = -(chunk_idx as i32);
// Add this edge to the sorted list.
pass_flows_sorted.push(lake_chunk_idx);
// pass_flows_sorted.push((chunk_idx as u32, neighbor_idx as u32));
for edge in &mut lakes[lake_idx..lake_idx + max_len] {
if *edge == (chunk_idx as i32, neighbor_idx as u32) {
// Skip deleting this edge.
continue;
}
// Delete the old edge, and remember it.
let edge = mem::replace(edge, (-1, 0));
if edge.0 == -1 {
// Don't fall off the end of the list.
break;
}
// Don't add incoming pointers from already-handled lakes or boundary nodes.
let indirection_idx = indirection[edge.1 as usize];
let neighbor_lake_idx = if indirection_idx < 0 {
edge.1 as usize
} else {
indirection_idx as usize
};
if downhill[neighbor_lake_idx] != -1 {
continue;
}
// Find the pass height
let pass = h(edge.0 as usize).max(h(edge.1 as usize));
// Put the reverse edge in candidates, sorted by height, then chunk idx, and finally
// neighbor idx.
candidates.push(Reverse((
NotNan::new(pass).unwrap(),
(edge.1, edge.0 as u32),
)));
}
// println!("I am a pass: {:?}", (uniform_idx_as_vec2(chunk_idx as usize), uniform_idx_as_vec2(neighbor_idx as usize)));
}
log::debug!("Total lakes: {:?}", pass_flows_sorted.len());
// Perform the bfs once again.
#[derive(Clone, Copy, PartialEq)]
enum Tag {
UnParsed,
InQueue,
WithRcv,
}
let mut tag = vec![Tag::UnParsed; WORLD_SIZE.x * WORLD_SIZE.y];
// TODO: Combine with adding to vector.
let mut filling_queue = Vec::with_capacity(downhill.len());
let mut newh = Vec::with_capacity(downhill.len());
(&*boundary)
.iter()
.chain(pass_flows_sorted.iter())
.for_each(|&chunk_idx| {
// Find all the nodes uphill from this lake. Since there is only one outgoing edge
// in the "downhill" graph, this is guaranteed never to visit a node more than
// once.
let mut start = newh.len();
// First, find the neighbor pass (assuming this is not the ocean).
let neighbor_pass_idx = downhill[chunk_idx];
let first_idx = if neighbor_pass_idx < 0 {
// This is the ocean.
newh.push(chunk_idx as u32);
start += 1;
chunk_idx
} else {
// This is a "real" lake.
let neighbor_pass_idx = neighbor_pass_idx as usize;
// Let's find our side of the pass.
let pass_idx = -indirection[chunk_idx];
// NOTE: Since only lakes are on the boundary, this should be a valid array index.
assert!(pass_idx >= 0);
let pass_idx = pass_idx as usize;
// Now, we should recompute flow paths so downhill nodes are contiguous.
/* // Carving strategy: reverse the path from the lake side of the pass to the
// lake bottom, and also set the lake side of the pass's downhill to its
// neighbor pass.
let mut to_idx = neighbor_pass_idx;
let mut from_idx = pass_idx;
// NOTE: Since our side of the lake pass must be in the same basin as chunk_idx,
// and chunk_idx is the basin bottom, we must reach it before we reach an ocean
// node or other node with an invalid index.
while from_idx != chunk_idx {
// Reverse this (from, to) edge by first replacing to_idx with from_idx,
// then replacing from_idx's downhill with the old to_idx, and finally
// replacing from_idx with from_idx's old downhill.
//
// println!("Reversing (lake={:?}): to={:?}, from={:?}, dh={:?}", chunk_idx, to_idx, from_idx, downhill[from_idx]);
from_idx = mem::replace(
&mut downhill[from_idx],
mem::replace(
&mut to_idx,
// NOTE: This cast should be valid since the node is either a path on the way
// to a lake bottom, or a lake bottom with an actual pass outwards.
from_idx
) as isize,
) as usize;
}
// Remember to set the actual lake's from_idx properly!
downhill[from_idx] = to_idx as isize; */
// TODO: Enqueue onto newh simultaneously with filling (this could help prevent
// needing a special tag just for checking if we are already enqueued).
// Filling strategy: nodes are assigned paths based on cost.
{
assert!(tag[pass_idx] == Tag::UnParsed);
filling_queue.push(pass_idx);
tag[neighbor_pass_idx] = Tag::WithRcv;
tag[pass_idx] = Tag::InQueue;
let outflow_coords = uniform_idx_as_vec2(neighbor_pass_idx);
let elev = h(neighbor_pass_idx).max(h(pass_idx));;
while let Some(node) = filling_queue.pop() {
let coords = uniform_idx_as_vec2(node);
let mut rcv = -1;
let mut rcv_cost = -f64::INFINITY;/*f64::EPSILON;*/
let outflow_distance = (outflow_coords - coords).map(|e| e as f64);
for ineighbor in neighbors(node) {
if indirection[ineighbor] != chunk_idx as i32 &&
ineighbor != chunk_idx && ineighbor != neighbor_pass_idx || h(ineighbor) > elev {
continue;
}
let dxy = (uniform_idx_as_vec2(ineighbor) - coords).map(|e| e as f64);
let neighbor_distance = (/*neighbor_coef * */dxy);
let mut tag = &mut tag[ineighbor];
match *tag {
Tag::WithRcv => {
// TODO: Remove outdated comment.
//
// // Proportional to
// // (vec_to_neighbor ⋅ vec_to_outflow) / |vec_to_neighbor|
// //
// // (proportional because the numerator of our actual
// // calculation is in chunk units, while the bottom is in
// // meters; this is effectively just multiplying the real costs in meters
// // by a constant [the chunk to meter ratio]).
//
// vec_to_outflow ⋅ (vec_to_neighbor / |vec_to_neighbor|) = ||vec_to_outflow||cos Θ
// where θ is the angle between vec_to_outflow and vec_to_neighbor.
//
// Which is also the scalar component of vec_to_outflow in the
// direction of vec_to_neighbor.
let cost = (outflow_distance.dot(neighbor_distance / neighbor_distance.magnitude()))/*.abs()*/;
if cost > rcv_cost {
rcv = ineighbor as isize;
rcv_cost = cost;
}
},
Tag::UnParsed => {
filling_queue.push(ineighbor);
*tag = Tag::InQueue;
},
_ => {}
}
}
assert!(rcv != -1);
downhill[node] = rcv;
// dist2receivers(node) = d8_distances[detail::get_d8_distance_id(node, rcv, static_cast<Node_T>(ncols))];
tag[node] = Tag::WithRcv;
}
}
// Use our side of the pass as the initial node in the stack order.
// TODO: Verify that this stack order will not "double reach" any lake chunks.
// pass_idx
neighbor_pass_idx
};
// newh.push(chunk_idx as u32);
// New lake root
/* newh.push(first_idx as u32); */
let mut cur = start;
let mut node = first_idx;
// while cur < newh.len()
loop {
// let node = newh[cur as usize];
// cur += 1;
for child in uphill(downhill, node as usize) {
// lake_idx is the index of our lake root.
// Check to make sure child (flowing into us) is in the same lake.
if indirection[child] == chunk_idx as i32 || child == chunk_idx
// // Check to make sure child (flowing into us) isn't a lake.
// if indirection[child] >= 0 || child == chunk_idx
/* Note: equal to chunk_idx should be same */
{
// assert!(h[child] >= h[node as usize]);
newh.push(child as u32);
}
}
if cur == newh.len() {
break;
}
node = newh[cur] as usize;
cur += 1;
}
});
assert_eq!(newh.len(), downhill.len());
(boundary.len(), indirection, newh.into_boxed_slice(), maxh)
}
/// Iterate through set neighbors of multi-receiver flow.
pub fn mrec_downhill<'a>(
mrec: &'a [u8],
posi: usize,
) -> impl Clone + Iterator<Item = (usize, usize)> + 'a {
let pos = uniform_idx_as_vec2(posi);
let mrec_i = mrec[posi];
NEIGHBOR_DELTA
.iter()
.enumerate()
.filter(move |&(k, _)| (mrec_i >> k as isize) & 1 == 1)
.map(move |(k, &(x, y))| {
(
k,
vec2_as_uniform_idx(Vec2::new(pos.x + x as i32, pos.y + y as i32)),
)
})
}
/// Algorithm for computing multi-receiver flow.
///
/// * `h`: altitude
/// * `downhill`: single receiver
/// * `newh`: single receiver stack
/// * `wh`: buffer into which water height will be inserted.
/// * `nx`, `ny`: resolution in x and y directions.
/// * `dx`, `dy`: grid spacing in x- and y-directions
/// * `maxh`: maximum |height| among all nodes.
///
///
/// Updates the water height to a nearly planar surface, and returns a 3-tuple containing:
/// * A bitmask representing which neighbors are downhill.
/// * Stack order for multiple receivers (from top to bottom).
/// * The weight for each receiver, for each node.
pub fn get_multi_rec<F: fmt::Debug + Float + Sync + Into<Compute>>(
h: impl Fn(usize) -> F + Sync,
downhill: &[isize],
newh: &[u32],
wh: &mut [F],
nx: usize,
ny: usize,
dx: Compute,
dy: Compute,
_maxh: F,
) -> (Box<[u8]>, Box<[u32]>, Box<[Computex8]>)
/*where
Compute: Into<F>,*/
{
let nn = nx * ny;
let dxdy = Vec2::new(dx, dy);
// set bc
let i1 = 0;
let i2 = nx;
let j1 = 0;
let j2 = ny;
/* let xcyclic = false;
let ycyclic = false; */
/*
write (cbc,'(i4)') ibc
i1=1
i2=nx
j1=1
j2=ny
if (cbc(4:4).eq.'1') i1=2
if (cbc(2:2).eq.'1') i2=nx-1
if (cbc(1:1).eq.'1') j1=2
if (cbc(3:3).eq.'1') j2=ny-1
xcyclic=.FALSE.
ycyclic=.FALSE.
if (cbc(4:4).ne.'1'.and.cbc(2:2).ne.'1') xcyclic=.TRUE.
if (cbc(1:1).ne.'1'.and.cbc(3:3).ne.'1') ycyclic=.TRUE.
*/
assert_eq!(nn, wh.len());
/* // TODO: Remove this.
for w in &mut *wh {
*w = F::nan();
} */
// fill the local minima with a nearly planar surface
// See https://matthew-brett.github.io/teaching/floating_error.html;
// our absolute error is bounded by β^(e-(p-1)), where e is the exponent of the largest value we
// care about. In this case, since we are summing up to nn numbers, we are bounded from above
// by nn * |maxh|; however, we only need to invoke this when we actually encounter a number, so
// we compute it dynamically.
// for nn + |maxh|
// TODO: Consider that it's probably not possible to have a downhill path the size of the whole grid...
// either measure explicitly (maybe in get_lakes) or work out a more precise upper bound (since
// using nn * 2 * (maxh + epsilon) makes f32 not work very well).
let deltah = F::epsilon() + F::epsilon();
// let deltah = F::epsilon() * 2 * maxh;
// NumCast::from(nn); /* 1.0e-8 */
// let deltah : F = (1.0e-7 as Compute).into();
for &ijk in newh {
let ijk = ijk as usize;
let h_i = h(ijk);
let ijr = downhill[ijk];
wh[ijk] = if ijr >= 0 {
let ijr = ijr as usize;
let wh_j = wh[ijr];
// debug_assert!(wh_j.is_normal() || wh_j == F::zero());
if wh_j /*>*/>= h_i {
/* if wh_j == h_i {
log::debug!("Interesting... ijk={:?}, ijr={:?}, wh_j{:?} h_i={:?}", uniform_idx_as_vec2(ijk), uniform_idx_as_vec2(ijr), wh_j, h_i);
} */
let deltah = deltah * wh_j.abs();
wh_j + deltah
} else {
h_i
}
// wh[ijk] = h_i.max(wh_j + deltah);
} else {
h_i
};
}
let mut wrec = Vec::<Computex8>::with_capacity(nn);
let mut mrec = Vec::with_capacity(nn);
let mut don_vis = Vec::with_capacity(nn);
// loop on all nodes
(0..nn)
.into_par_iter()
.map(|ij| {
// TODO: SIMDify? Seems extremely amenable to that.
// let h_ij = h(ij);
let wh_ij = wh[ij];
let mut mrec_ij = 0u8;
let mut ndon_ij = 0u8;
let neighbor_iter = |posi| {
let pos = uniform_idx_as_vec2(posi);
NEIGHBOR_DELTA
.iter()
.map(move |&(x, y)| Vec2::new(pos.x + x, pos.y + y))
.enumerate()
.filter(move |&(_, pos)| {
pos.x >= 0
&& pos.y >= 0
&& pos.x < WORLD_SIZE.x as i32
&& pos.y < WORLD_SIZE.y as i32
})
.map(move |(k, pos)| (k, vec2_as_uniform_idx(pos)))
};
for (k, ijk) in neighbor_iter(ij) {
let wh_ijk = wh[ijk];
// let h_ijk = h(ijk);
if
/*h_ij*/
wh_ij > wh_ijk {
// Set neighboring edge lower than this one as being downhill.
// NOTE: relying on at most 8 neighbors.
mrec_ij |= (1 << k);
} else if
/*h_ijk*/
wh_ijk > wh_ij {
// Avoiding ambiguous cases.
ndon_ij += 1;
}
}
// let vis_ij = mrec_ij.count_ones();
(mrec_ij, (ndon_ij, ndon_ij))
})
.unzip_into_vecs(&mut mrec, &mut don_vis);
let czero = <Compute as Zero>::zero();
let (wrec, stack) = rayon::join(
|| {
(0..nn)
.into_par_iter()
.map(|ij| {
let mut sumweight = czero;
let mut wrec = /*Computex8::splat(czero)*/[czero; 8];
let mut nrec = 0;
// let mut wrec: [Compute; 8] = [czero, czero, czero, czero, czero, czero, czero, czero];
for (k, ijk) in mrec_downhill(&mrec, ij) {
let lrec_ijk = ((uniform_idx_as_vec2(ijk) - uniform_idx_as_vec2(ij))
.map(|e| e as Compute)
* dxdy)
.magnitude();
let wrec_ijk = (wh[ij] - wh[ijk]).into() / lrec_ijk;
// let wrec_ijk = if ijk as isize == downhill[ij] { <Compute as One>::one() } else { <Compute as Zero>::zero() };
wrec[k] = wrec_ijk;
// wrec = wrec.replace(k, wrec_ijk);
sumweight += wrec_ijk;
nrec += 1;
}
// let (_, ndon_ij) = ndon[ij];
let slope = sumweight / (nrec as Compute).max(1.0);
let p_mfd_exp = 0.5 + 0.6 * slope;
// let p_mfd_exp = 10.0;
/* let ijr = downhill[ij];
if ijr < 0 {
if sumweight != <Compute as Zero>::zero() {
log::error!("Huh? ij={:?} [h={:?}, wh={:?}], downhill={:?}, sum={:?}, mrec={:?}, mwrec={:?}",
uniform_idx_as_vec2(ij), h(ij), wh[ij],
ijr,
sumweight, mrec[ij], wrec);
}
debug_assert_eq!(sumweight, <Compute as Zero>::zero());
} else {
if sumweight != <Compute as One>::one() {
let ijr = ijr as usize;
log::error!("Huh? ij={:?} [h={:?}, wh={:?}], downhill={:?} [h={:?}, wh={:?}], sum={:?}, mrec={:?}, mwrec={:?}",
uniform_idx_as_vec2(ij), h(ij), wh[ij],
uniform_idx_as_vec2(ijr), h(ijr), wh[ijr],
sumweight, mrec[ij], wrec);
}
debug_assert_eq!(sumweight, <Compute as One>::one());
} */
sumweight = czero;
for wrec_k in &mut wrec {
let wrec_ijk = wrec_k.powf(p_mfd_exp);
sumweight += wrec_ijk;
*wrec_k = wrec_ijk;
}
if sumweight > czero {
// wrec /= sumweight;
for wrec_k in &mut wrec {
*wrec_k /= sumweight;
}
}
wrec
})
.collect_into_vec(&mut wrec);
wrec
},
|| {
let mut stack = Vec::with_capacity(nn);
let mut parse = Vec::with_capacity(nn);
// we go through the nodes
for ij in 0..nn {
let (ndon_ij, _) = don_vis[ij];
// when we find a "summit" (ie a node that has no donors)
// we parse it (put it in a stack called parse)
if ndon_ij == 0 {
parse.push(ij);
}
// we go through the parsing stack
while let Some(ijn) = parse.pop() {
// we add the node to the stack
stack.push(ijn as u32);
for (_, ijr) in mrec_downhill(&mrec, ijn) {
let (_, ref mut vis_ijr) = don_vis[ijr];
if *vis_ijr >= 1 {
*vis_ijr -= 1;
if *vis_ijr == 0 {
parse.push(ijr);
}
}
}
}
}
assert_eq!(stack.len(), nn);
stack
},
);
(
mrec.into_boxed_slice(),
stack.into_boxed_slice(),
wrec.into_boxed_slice(),
)
}
/// Perform erosion n times.
pub fn do_erosion(
erosion_base: f32,
_max_uplift: f32,
n_steps: usize,
seed: &RandomField,
rock_strength_nz: &(impl NoiseFn<Point3<f64>> + Sync),
oldh: impl Fn(usize) -> f32 + Sync,
oldb: impl Fn(usize) -> f32 + Sync,
// olda: impl Fn(usize) -> f32 + Sync,
is_ocean: impl Fn(usize) -> bool + Sync,
uplift: impl Fn(usize) -> f64 + Sync,
n: impl Fn(usize) -> f32 + Sync,
theta: impl Fn(usize) -> f32 + Sync,
kf: impl Fn(usize) -> f64 + Sync,
kd: impl Fn(usize) -> f64 + Sync,
g: impl Fn(usize) -> f32 + Sync,
epsilon_0: impl Fn(usize) -> f32 + Sync,
alpha: impl Fn(usize) -> f32 + Sync,
) -> (Box<[Alt]>, Box<[Alt]> /*, Box<[Alt]>*/) {
log::debug!("Initializing erosion arrays...");
let oldh_ = (0..WORLD_SIZE.x * WORLD_SIZE.y)
.into_par_iter()
.map(|posi| oldh(posi) as Alt)
.collect::<Vec<_>>()
.into_boxed_slice();
// Topographic basement (The height of bedrock, not including sediment).
let mut b = (0..WORLD_SIZE.x * WORLD_SIZE.y)
.into_par_iter()
.map(|posi| oldb(posi) as Alt)
.collect::<Vec<_>>()
.into_boxed_slice();
/* // Alluvium (the total depth of alluvium above the topsoil).
let mut a = (0..WORLD_SIZE.x * WORLD_SIZE.y)
.into_par_iter()
.map(|posi| olda(posi) as Alt)
.collect::<Vec<_>>()
.into_boxed_slice(); */
// Stream power law slope exponent--link between channel slope and erosion rate.
let n = (0..WORLD_SIZE.x * WORLD_SIZE.y)
.into_par_iter()
.map(|posi| n(posi))
.collect::<Vec<_>>()
.into_boxed_slice();
// Stream power law concavity index (θ = m/n), turned into an exponent on drainage
// (which is a proxy for discharge according to Hack's Law).
let m = (0..WORLD_SIZE.x * WORLD_SIZE.y)
.into_par_iter()
.map(|posi| theta(posi) * n[posi])
.collect::<Vec<_>>()
.into_boxed_slice();
// Stream power law erodability constant for fluvial erosion (bedrock)
let kf = (0..WORLD_SIZE.x * WORLD_SIZE.y)
.into_par_iter()
.map(|posi| kf(posi))
.collect::<Vec<_>>()
.into_boxed_slice();
// Stream power law erodability constant for hillslope diffusion (bedrock)
let kd = (0..WORLD_SIZE.x * WORLD_SIZE.y)
.into_par_iter()
.map(|posi| kd(posi))
.collect::<Vec<_>>()
.into_boxed_slice();
// Deposition coefficient
let g = (0..WORLD_SIZE.x * WORLD_SIZE.y)
.into_par_iter()
.map(|posi| g(posi))
.collect::<Vec<_>>()
.into_boxed_slice();
let epsilon_0 = (0..WORLD_SIZE.x * WORLD_SIZE.y)
.into_par_iter()
.map(|posi| epsilon_0(posi))
.collect::<Vec<_>>()
.into_boxed_slice();
let alpha = (0..WORLD_SIZE.x * WORLD_SIZE.y)
.into_par_iter()
.map(|posi| alpha(posi))
.collect::<Vec<_>>()
.into_boxed_slice();
let mut wh = vec![0.0; WORLD_SIZE.x * WORLD_SIZE.y].into_boxed_slice();
// TODO: Don't do this, maybe?
// (To elaborate, maybe we should have varying uplift or compute it some other way).
let uplift = (0..oldh_.len())
.into_par_iter()
.map(|posi| uplift(posi) as f32)
.collect::<Vec<_>>()
.into_boxed_slice();
let sum_uplift = uplift
.into_par_iter()
.cloned()
.map(|e| e as f64)
.sum::<f64>();
log::debug!("Sum uplifts: {:?}", sum_uplift);
let max_uplift = uplift
.into_par_iter()
.cloned()
.max_by(|a, b| a.partial_cmp(&b).unwrap())
.unwrap();
let max_g = g
.into_par_iter()
.cloned()
.max_by(|a, b| a.partial_cmp(&b).unwrap())
.unwrap();
log::debug!("Max uplift: {:?}", max_uplift);
log::debug!("Max g: {:?}", max_g);
// Height of terrain, including sediment.
let mut h = oldh_;
// 0.01 / 2e-5 = 500
// Bedrock transport coefficients (diffusivity) in m^2 / year. For now, we set them all to be equal
// on land, but in theory we probably want to at least differentiate between soil, bedrock, and
// sediment.
let height_scale = 1.0; // 1.0 / CONFIG.mountain_scale as f64;
let mmaxh = CONFIG.mountain_scale as f64 * height_scale;
let dt = max_uplift as f64 / height_scale /* * CONFIG.mountain_scale as f64*/ / 5.010e-4;
let k_fb = /*(erosion_base as f64 + 2.244 / mmaxh as f64 * /*10.0*//*5.0*//*9.0*//*7.5*//*5.0*//*2.5*//*1.5*/4.0/*1.0*//*3.75*/ * max_uplift as f64) / dt;*/
2.0e-5 * dt;
let kd_bedrock =
/*1e-2*//*0.25e-2*/1e-2 / 1.0 * height_scale * height_scale/* / (CONFIG.mountain_scale as f64 * CONFIG.mountain_scale as f64) */
/* * k_fb / 2e-5 */;
let kdsed =
/*1.5e-2*//*1e-4*//*1.25e-2*//*1.5e-2 */1.5e-2/ 1.0 * height_scale * height_scale/* / (CONFIG.mountain_scale as f64 * CONFIG.mountain_scale as f64) */
/* * k_fb / 2e-5 */;
// let kd = |posi: usize| kd_bedrock; // if is_ocean(posi) { /*0.0*/kd_bedrock } else { kd_bedrock };
let n = |posi: usize| n[posi];
let m = |posi: usize| m[posi];
let kd = |posi: usize| kd[posi]; // if is_ocean(posi) { /*0.0*/kd_bedrock } else { kd_bedrock };
let kf = |posi: usize| kf[posi];
let g = |posi: usize| g[posi];
let epsilon_0 = |posi: usize| epsilon_0[posi];
let alpha = |posi: usize| alpha[posi];
// Hillslope diffusion coefficient for sediment.
let mut is_done = bitbox![0; WORLD_SIZE.x * WORLD_SIZE.y];
for i in 0..n_steps {
log::debug!("Erosion iteration #{:?}", i);
erode(
&mut h,
&mut b,
// &mut a,
&mut wh,
&mut is_done,
// The value to use to indicate that erosion is complete on a chunk. Should toggle
// once per iteration, to avoid having to reset the bits, and start at true, since
// we initialize to 0 (false).
i & 1 == 0,
erosion_base,
max_uplift,
max_g,
// -1.0,
kdsed,
seed,
rock_strength_nz,
|posi| uplift[posi],
n,
m,
kf,
kd,
g,
epsilon_0,
alpha,
|posi| is_ocean(posi),
);
}
(h, b /*, a*/)
}