hydromt_sfincs.workflows.constant_infiltration_from_ksat_lulc#

hydromt_sfincs.workflows.constant_infiltration_from_ksat_lulc(da_ksat: DataArray, da_lulc: DataArray, df_modifiers: DataFrame, *, da_mask: DataArray | None = None, qinf_min: float = 0.01, qinf_max: float = 19.9, base_min: float = 0.1, base_max: float = 15.0) → DataArray[source]#

Estimate spatially varying constant infiltration from Ksat and land use.

Ksat [mm/hr] is normalized between its 5th and 95th percentiles, taken over da_mask cells when given and otherwise over all valid pixels. The normalized value is scaled by the land-use surface modifier. da_ksat, da_lulc and da_mask must share one grid. Inputs must already be-read xarray objects and a DataFrame.

Parameters:

da_ksat (xr.DataArray) – Saturated hydraulic conductivity raster [mm/hr].
da_lulc (xr.DataArray) – Land-use or land-cover class raster.
df_modifiers (pd.DataFrame) – Modifier table indexed by land-use class.
da_mask (xr.DataArray, optional) – Active-cell mask used to determine Ksat percentiles.
qinf_min (float, optional) – Minimum and maximum output infiltration rates, by default 0.01 and 19.9.
qinf_max (float, optional) – Minimum and maximum output infiltration rates, by default 0.01 and 19.9.
base_min (float, optional) – Infiltration range before applying the land-use modifier, by default 0.1 and 15.0.
base_max (float, optional) – Infiltration range before applying the land-use modifier, by default 0.1 and 15.0.

Returns:

Spatially varying constant infiltration rate.

Return type:

xr.DataArray