Source code for imod.msw.ponding
import pandas as pd
from imod.msw.fixed_format import VariableMetaData
from imod.msw.pkgbase import MetaSwapPackage
[docs]class Ponding(MetaSwapPackage):
"""
Set ponding related parameters for MetaSWAP. This class is responsible for
the svat2swnr_roff.inp file. Currently, we do not support ponds coupled to
SIMGRO's surface water module.
Parameters
----------
ponding_depth: array of floats (xr.DataArray)
Ponding depth of the SVAT units in meters. If set to 0. water can freely
flow over the soil surface. Runoff is disable by setting the ponding
depth to 9999 m. Large values, e.g. 1000 m, should be avoided becauses
this causes excess memory use. This array must have a subunit coordinate
to describe different land uses.
runoff_resistance: array of floats (xr.DataArray)
Runoff resistance of SVAT units in days. This array must have a subunit
coordinate to describe different land uses.
runon_resistance: array of floats (xr.DataArray)
Runon resistance of SVAT units in days. This array must have a subunit
coordinate to describe different land uses.
"""
_file_name = "svat2swnr_roff.inp"
_metadata_dict = {
"svat": VariableMetaData(10, 1, 99999999, int),
"swnr": VariableMetaData(10, 0, 99999999, int),
"ponding_depth": VariableMetaData(8, 0.0, 1e6, float),
"runoff_resistance": VariableMetaData(8, 0.0, 1e6, float),
"runon_resistance": VariableMetaData(8, 0.0, 1e6, float),
}
_with_subunit = ("ponding_depth", "runoff_resistance", "runon_resistance")
_without_subunit = ()
_to_fill = ()
[docs] def __init__(self, ponding_depth, runon_resistance, runoff_resistance) -> None:
super().__init__()
self.dataset["ponding_depth"] = ponding_depth
self.dataset["runon_resistance"] = runon_resistance
self.dataset["runoff_resistance"] = runoff_resistance
self._pkgcheck()
def _render(self, file, index, svat):
data_dict = {"svat": svat.values.ravel()[index]}
for var in self._with_subunit:
data_dict[var] = self._index_da(self.dataset[var], index)
data_dict["swnr"] = 0
dataframe = pd.DataFrame(
data=data_dict, columns=list(self._metadata_dict.keys())
)
self._check_range(dataframe)
return self.write_dataframe_fixed_width(file, dataframe)