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Bodemlagen pwn 2024
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| """Module containing functions to retrieve PWN bodemlagen.""" | ||
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| import logging | ||
| from pathlib import Path | ||
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| import geopandas as gpd | ||
| import numpy as np | ||
| import pykrige.ok | ||
| import xarray as xr | ||
| from flopy.discretization.vertexgrid import VertexGrid | ||
| from flopy.utils.gridintersect import GridIntersect | ||
| from nlmod.dims.grid import modelgrid_from_ds | ||
| from shapely.ops import unary_union | ||
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| logger = logging.getLogger(__name__) | ||
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| def get_pwn_aquitard_data(ds: xr.Dataset, ix: GridIntersect, modelgrid: VertexGrid, data_dir: Path, transition_length: float) -> dict: | ||
| """ | ||
| Interpolate the thickness of the aquitard layers and the top of the aquitard layers using Kriging. | ||
| The thickness of the aquitard layers is interpolated using the points in the file | ||
| `dikte_aquitard/D{layer_name}/D{layer_name}_interpolation_points.geojson`. | ||
| The top of the aquitard layers is interpolated using the points in the file | ||
| `top_aquitard/T{layer_name}/T{layer_name}_interpolation_points.geojson`. | ||
| The mask of the aquitard layers is defined in the file | ||
| `dikte_aquitard/D{layer_name}/D{layer_name}_mask_combined.geojson`. | ||
| Parameters | ||
| ---------- | ||
| ds : xr.Dataset | ||
| The model dataset that contains the vertex grid information. | ||
| ix : flopy.utils.GridIntersect | ||
| The index of the model grid. | ||
| modelgrid : flopy.discretization.VertexGrid | ||
| The model grid. | ||
| data_dir : Path | ||
| The directory containing the data. Contains folders `dikte_aquitard` and `top_aquitard`. | ||
| transition_length : float | ||
| The length of the transition zone in meters. | ||
| Returns | ||
| ------- | ||
| dict | ||
| A dictionary containing the interpolated values of the aquitard layers. | ||
| """ | ||
| verbose = logger.level <= logging.DEBUG | ||
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| if ix is None and modelgrid is None and ds is not None: | ||
| modelgrid = modelgrid_from_ds(ds) | ||
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| if ix is None and modelgrid is not None: | ||
| ix = GridIntersect(modelgrid, method="vertex") | ||
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| ncell = len(ix.mfgrid.cell2d) | ||
| layer_names = ["S11", "S12", "S13", "S21", "S22", "S31", "S32"] | ||
| data = {} | ||
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| for name in layer_names: | ||
| # Compute where the layer is _not_ present | ||
| logger.info("Interpolating aquitard layer %s data and its transition zone", name) | ||
| fp_mask = data_dir / "dikte_aquitard" / f"D{name}" / f"D{name}_mask_combined.geojson" | ||
| gdf_mask = gpd.read_file(fp_mask) | ||
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| multipolygon = unary_union(gdf_mask.geometry) | ||
| ids = ix.intersect(multipolygon, contains_centroid=False, min_area_fraction=0.5).cellids.astype(int) | ||
| data[f"{name}_mask"] = np.zeros(ncell, dtype=bool) | ||
| data[f"{name}_mask"][ids] = True | ||
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| # Compute where the layer transitions to REGIS | ||
| multipolygon_transition = multipolygon.buffer(transition_length).difference(multipolygon) | ||
| ids_trans = ix.intersect( | ||
| multipolygon_transition, contains_centroid=False, min_area_fraction=0.5 | ||
| ).cellids.astype(int) | ||
| data[f"{name}_transition"] = np.zeros(ncell, dtype=bool) | ||
| data[f"{name}_transition"][ids_trans] = True | ||
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| # Interpolate thickness points using Kriging | ||
| fp_pts = data_dir / "dikte_aquitard" / f"D{name}" / f"D{name}_interpolation_points.geojson" | ||
| gdf_pts = gpd.read_file(fp_pts) | ||
| ok = pykrige.ok.OrdinaryKriging( | ||
| gdf_pts.geometry.x.values, | ||
| gdf_pts.geometry.y.values, | ||
| gdf_pts.value.values, | ||
| variogram_model="linear", | ||
| verbose=verbose, | ||
| enable_plotting=False, | ||
| ) | ||
| xq = ix.mfgrid.xcellcenters[~data[f"{name}_mask"]] | ||
| yq = ix.mfgrid.ycellcenters[~data[f"{name}_mask"]] | ||
| kriging_result = ok.execute("points", xq, yq) | ||
| data[f"D{name}_value"] = np.zeros(ncell) | ||
| data[f"D{name}_value"][~data[f"{name}_mask"]] = kriging_result[0] | ||
| data[f"D{name}_value_unc"] = np.zeros(ncell) | ||
| data[f"D{name}_value_unc"][~data[f"{name}_mask"]] = kriging_result[1] | ||
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| # Interpolate top aquitard points using Kriging | ||
| fp_pts = data_dir / "top_aquitard" / f"T{name}" / f"T{name}_interpolation_points.geojson" | ||
| gdf_pts = gpd.read_file(fp_pts) | ||
| ok = pykrige.ok.OrdinaryKriging( | ||
| gdf_pts.geometry.x.values, | ||
| gdf_pts.geometry.y.values, | ||
| gdf_pts.value.values, | ||
| variogram_model="linear", | ||
| verbose=verbose, | ||
| enable_plotting=False, | ||
| ) | ||
| kriging_result = ok.execute("points", xq, yq) | ||
| data[f"T{name}_value"] = np.zeros(ncell) | ||
| data[f"T{name}_value"][~data[f"{name}_mask"]] = kriging_result[0] | ||
| data[f"T{name}_value_unc"] = np.zeros(ncell) | ||
| data[f"T{name}_value_unc"][~data[f"{name}_mask"]] = kriging_result[1] | ||
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| return data |