Source code for imod.flow.hfb

import jinja2
import numpy as np

import imod
from imod.flow.pkgbase import Package

[docs]class HorizontalFlowBarrier(Package): """ Horizontal barriers obstructing flow such as semi- or impermeable fault zone or a sheet pile wall are defined for each model layer by a *.GEN line file. Parameters ---------- id_name: str or list of str name of the barrier geometry: object array of shapely LineStrings geometry of barriers, should be lines resistance: float or list of floats resistance of the barrier (d). layer: Optional, int layer where barrier is located. Defaults to None. """ _template_projectfile = jinja2.Template( "0001, ({{pkg_id}}), 1, {{name}}, {{variable_order}}\n" '{{"{:03d}".format(variable_order|length)}}, {{"{:03d}".format(n_entry)}}\n' "{%- for variable in variable_order%}\n" # Preserve variable order "{%- for layer, value in package_data[variable].items()%}\n" # 1 indicates the layer is activated # 2 indicates the second element of the final two elements should be read # 1.000 is the multiplication factor # 0.000 is the addition factor # -9999 indicates there is no data, following iMOD usual practice '1, 2, {{"{:03d}".format(layer)}}, {{resistance[loop.index]}}, 0.000, -9999., {{value}}\n' "{%- endfor %}\n" "{%- endfor %}\n" ) _pkg_id = "hfb" _variable_order = ["resistance"]
[docs] def __init__( self, id_name, geometry, resistance, layer=None, ): super().__init__() variables = { "id_name": id_name, "geometry": geometry, "layer": layer, "resistance": resistance, } variables = {k: np.atleast_1d(v) for k, v in variables.items() if v is not None} length = max(map(len, variables.values())) index = np.arange(1, length + 1) self.dataset["index"] = index for k, v in variables.items(): if v.size == index.size: self.dataset[k] = ("index", v) elif v.size == 1: self.dataset[k] = ("index", np.full(length, v)) else: raise ValueError(f"Length of {k} does not match other arguments")
def _compose_values_layer(self, varname, directory, nlayer, time=None): values = {} d = {"directory": directory, "name": directory.stem, "extension": ".gen"} if "layer" in self.dataset: for layer in np.unique(self.dataset["layer"]): layer = int(layer) d["layer"] = layer values[layer] = self._compose_path(d) else: for layer in range(1, nlayer + 1): # 1-based indexing values[layer] = self._compose_path(d) return values def _save_layers(self, gdf, directory): d = {"directory": directory, "name": directory.stem, "extension": ".gen"} d["directory"].mkdir(exist_ok=True, parents=True) gdf["id"] = gdf.index if "layer" in gdf: for layer, layerdf in gdf.groupby("layer"): d["layer"] = layer # Ensure right order outdf = layerdf[["id", "geometry"]] path = self._compose_path(d) imod.gen.write(path, outdf) else: outdf = gdf[["id", "geometry"]] path = self._compose_path(d) imod.gen.write(path, outdf) def save(self, directory): import geopandas as gpd gdf = gpd.GeoDataFrame(self.dataset.to_dataframe()) # Use _save_layers to keep the code consistent with the Wel implementation. self._save_layers(gdf, directory) def _render_projectfile(self, **kwargs): kwargs["resistance"] = self.dataset["resistance"].values return super()._render_projectfile(**kwargs)