import pathlib
import numpy as np
import imod
from imod.mf6.package import Package
from imod.mf6.regridding_utils import RegridderType
from imod.mf6.validation import DisBottomSchema
from imod.schemata import (
ActiveCellsConnectedSchema,
AllValueSchema,
AnyValueSchema,
DimsSchema,
DTypeSchema,
IdentityNoDataSchema,
IndexesSchema,
)
[docs]class StructuredDiscretization(Package):
"""
Discretization information for structered grids is specified using the file.
(DIS6) Only one discretization input file (DISU6, DISV6 or DIS6) can be
specified for a model.
https://water.usgs.gov/water-resources/software/MODFLOW-6/mf6io_6.0.4.pdf#page=35
Parameters
----------
top: array of floats (xr.DataArray)
is the top elevation for each cell in the top model layer.
bottom: array of floats (xr.DataArray)
is the bottom elevation for each cell.
idomain: array of integers (xr.DataArray)
Indicates the existence status of a cell. Horizontal discretization
information will be derived from the x and y coordinates of the
DataArray. If the idomain value for a cell is 0, the cell does not exist
in the simulation. Input and output values will be read and written for
the cell, but internal to the program, the cell is excluded from the
solution. If the idomain value for a cell is 1, the cell exists in the
simulation. if the idomain value for a cell is -1, the cell does not
exist in the simulation. Furthermore, the first existing cell above will
be connected to the first existing cell below. This type of cell is
referred to as a "vertical pass through" cell.
validate: {True, False}
Flag to indicate whether the package should be validated upon
initialization. This raises a ValidationError if package input is
provided in the wrong manner. Defaults to True.
"""
_pkg_id = "dis"
_init_schemata = {
"top": [
DTypeSchema(np.floating),
DimsSchema("y", "x") | DimsSchema(),
IndexesSchema(),
],
"bottom": [
DTypeSchema(np.floating),
DimsSchema("layer", "y", "x") | DimsSchema("layer"),
IndexesSchema(),
],
"idomain": [
DTypeSchema(np.integer),
DimsSchema("layer", "y", "x"),
IndexesSchema(),
],
}
_write_schemata = {
"idomain": (
ActiveCellsConnectedSchema(is_notnull=("!=", 0)),
AnyValueSchema(">", 0),
),
"top": (
AllValueSchema(">", "bottom", ignore=("idomain", "==", -1)),
IdentityNoDataSchema(other="idomain", is_other_notnull=(">", 0)),
# No need to check coords: dataset ensures they align with idomain.
),
"bottom": (DisBottomSchema(other="idomain", is_other_notnull=(">", 0)),),
}
_grid_data = {"top": np.float64, "bottom": np.float64, "idomain": np.int32}
_keyword_map = {"bottom": "botm"}
_template = Package._initialize_template(_pkg_id)
_regrid_method = {
"top": (RegridderType.OVERLAP, "mean"),
"bottom": (RegridderType.OVERLAP, "mean"),
"idomain": (RegridderType.OVERLAP, "mode"),
}
_skip_mask_arrays = ["bottom", "idomain"]
[docs] def __init__(self, top, bottom, idomain, validate: bool = True):
super(__class__, self).__init__(locals())
self.dataset["idomain"] = idomain
self.dataset["top"] = top
self.dataset["bottom"] = bottom
self._validate_init_schemata(validate)
def _delrc(self, dx):
"""
dx means dx or dy
"""
if isinstance(dx, (int, float)):
return f"constant {dx}"
elif isinstance(dx, np.ndarray):
arrstr = str(dx)[1:-1]
return f"internal\n {arrstr}"
else:
raise ValueError(f"Unhandled type of {dx}")
def render(self, directory, pkgname, globaltimes, binary):
disdirectory = pathlib.Path(directory) / pkgname
d = {}
x = self.dataset["idomain"].coords["x"]
y = self.dataset["idomain"].coords["y"]
dx, xmin, _ = imod.util.coord_reference(x)
dy, ymin, _ = imod.util.coord_reference(y)
d["xorigin"] = xmin
d["yorigin"] = ymin
d["nlay"] = self.dataset["idomain"].coords["layer"].size
d["nrow"] = y.size
d["ncol"] = x.size
d["delr"] = self._delrc(np.abs(dx))
d["delc"] = self._delrc(np.abs(dy))
_, d["top"] = self._compose_values(
self["top"], disdirectory, "top", binary=binary
)
d["botm_layered"], d["botm"] = self._compose_values(
self["bottom"], disdirectory, "botm", binary=binary
)
d["idomain_layered"], d["idomain"] = self._compose_values(
self["idomain"], disdirectory, "idomain", binary=binary
)
return self._template.render(d)
def _validate(self, schemata, **kwargs):
# Insert additional kwargs
kwargs["bottom"] = self["bottom"]
errors = super()._validate(schemata, **kwargs)
return errors
