raw ยท 5897 bytes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 | import unittest import numpy as np from mapgen import graph as G from mapgen import hydrology as HY from tests.helpers import make_ctx def basin_ctx(p_basin, pet_basin): ctx = make_ctx(3) g = ctx.grid ocean = g.lat < -20 z = np.where(ocean, -3000.0, 200.0 + 30.0 * (g.lat + 20)) # land rises northward c = g.xyz[g.cell_index(40.0, 0.0)] d = g.radius_km * np.arccos(np.clip(g.xyz @ c, -1, 1)) z = np.where(d < 800, z - 1500 * (1 - d / 800), z) # closed basin ctx.data.update({"elevation_eroded_m": z.astype(np.float32), "P_ann": np.full(g.n, p_basin), "PET": np.full(g.n, pet_basin)}) return ctx, d class HydrologyTest(unittest.TestCase): def test_strahler(self): recv = np.array([2, 2, 6, 5, 5, 6, 6]) levels = G.receiver_levels(recv) o = HY.strahler(recv, levels, np.ones(7, bool)) np.testing.assert_array_equal(o, [1, 1, 2, 1, 1, 2, 3]) def test_arid_basin_is_endorheic_with_salt(self): ctx, d = basin_ctx(100.0, 1500.0) out = HY.run(ctx) inside = d < 300 self.assertTrue(out["endorheic"][inside].all()) self.assertTrue(out["salt_flat"][inside].any() or out["lake"][inside].any()) def test_humid_basin_overflows(self): ctx, d = basin_ctx(2500.0, 400.0) out = HY.run(ctx) inside = d < 300 self.assertTrue(out["lake"][inside].all()) self.assertFalse(out["endorheic"][inside].any()) def test_mass_balance_and_rivers(self): ctx, _ = basin_ctx(2500.0, 400.0) out = HY.run(ctx) g = ctx.grid roots = out["recv"] == np.arange(g.n) total = np.sum(out["runoff_mm"] * g.area_km2) * 1e-6 self.assertAlmostEqual(out["discharge_km3_yr"][roots].sum(), total, delta=total * 1e-6) self.assertTrue(out["river"].any()) self.assertTrue(np.all(out["strahler"][out["river"]] >= 1)) land = ctx.data["elevation_eroded_m"] > 0 nonendo = land & ~out["endorheic"] & ~roots self.assertTrue(np.all(out["z_filled_m"][out["recv"][nonendo]] < out["z_filled_m"][nonendo])) class InlandDepressionTest(unittest.TestCase): def test_humid_depression_below_sea_level_becomes_lake(self): ctx, d = basin_ctx(2500.0, 400.0) g = ctx.grid z = ctx.data["elevation_eroded_m"].astype(np.float64) z[d < 300] = -40.0 ctx.data["elevation_eroded_m"] = z.astype(np.float32) ctx.data["ocean"] = G.ocean_mask(g, z, 1.0e6) out = HY.run(ctx) self.assertTrue(out["lake"][d < 300].all()) def two_pit_ctx(p, pet): ctx = make_ctx(3) g = ctx.grid ocean = g.lat < -20 z = np.where(ocean, -3000.0, 200.0 + 30.0 * (g.lat + 20)) for lon in (-3.5, 3.5): c = g.xyz[g.cell_index(40.0, lon)] d = g.radius_km * np.arccos(np.clip(g.xyz @ c, -1, 1)) z = np.where(d < 900, z - (1500 + 200 * (lon > 0)) * (1 - d / 900), z) # two pits, one depression ctx.data.update({"elevation_eroded_m": z.astype(np.float32), "P_ann": np.full(g.n, p), "PET": np.full(g.n, pet)}) return ctx, z class TerminalTest(unittest.TestCase): def test_every_land_root_is_lake_or_salt(self): ctx, z = two_pit_ctx(700.0, 1400.0) out = HY.run(ctx) roots = (out["recv"] == np.arange(len(z))) & (z > 0) | (out["recv"] == np.arange(len(z))) & out["endorheic"] self.assertTrue(out["endorheic"].any()) self.assertTrue(np.all(out["lake"][roots] | out["salt_flat"][roots])) self.assertEqual(int((roots & out["endorheic"]).sum()), 1) # one terminal for the depression def test_mass_balance_with_lake_evaporation(self): ctx, z = two_pit_ctx(1000.0, 1200.0) out = HY.run(ctx) g = ctx.grid roots = out["recv"] == np.arange(g.n) total = np.sum(out["runoff_mm"] * g.area_km2) * 1e-6 self.assertGreater(out["lake_loss_km3_yr"].sum(), 0) self.assertAlmostEqual(out["discharge_km3_yr"][roots].sum() + out["lake_loss_km3_yr"].sum(), total, delta=total * 1e-6) class LakeBedTest(unittest.TestCase): def test_lakes_carved_below_level_and_rerun_is_stable(self): ctx, d = basin_ctx(2500.0, 400.0) z0 = np.asarray(ctx.data["elevation_eroded_m"], dtype=np.float64) out = HY.run(ctx) lake, lev, z = out["lake"], out["lake_level_m"], out["elevation_eroded_m"].astype(np.float64) self.assertTrue(lake.any()) self.assertTrue(np.all(np.isnan(lev[~lake]))) self.assertTrue(np.all(z[lake] <= lev[lake] - HY.DEFAULTS["lake_min_m"] + 1e-3)) np.testing.assert_array_equal(z[~lake], z0[~lake].astype(np.float32)) # only lake beds change ctx.data.update({"elevation_eroded_m": out["elevation_eroded_m"]}) # again (eras rerun hydrology) again = HY.run(ctx) np.testing.assert_array_equal(again["lake"], lake) np.testing.assert_allclose(again["lake_level_m"][lake], lev[lake]) np.testing.assert_array_equal(again["elevation_eroded_m"], out["elevation_eroded_m"]) def test_bigger_lakes_deeper(self): from tests.helpers import make_ctx as mk g = mk(3).grid P = {**HY.DEFAULTS, "lake_depth_exp": 0.3} z = np.zeros(g.n) lake = np.zeros(g.n, bool) small, big = g.cell_index(10.0, 0.0), np.flatnonzero(g.xyz @ g.xyz[g.cell_index(-30.0, 90.0)] > 0.97) lake[small] = lake[big] = True lid = np.where(lake, 0, -1) lid[big] = 1 bed = HY.lake_beds(g, z, np.where(lake, 0.0, np.nan), lake, lid, np.zeros(g.n, bool), np.zeros(g.n, bool), np.full(g.n, 1000.0), 1, P) self.assertLess(bed[big].min(), -P["lake_min_m"]) self.assertLessEqual(bed[small], -P["lake_min_m"]) self.assertTrue(np.all(bed[~lake] == 0)) |