hydromt_sfincs.workflows.bucket_from_hsg_landuse#

hydromt_sfincs.workflows.bucket_from_hsg_landuse(da_hsg: DataArray, da_lulc: DataArray, df_map: DataFrame, df_modifiers: DataFrame, *, da_ksat: DataArray | None = None, dual_hsg: str = 'drained', bucket_loss: float | None = 0.1) → Dataset[source]#

Estimate bucket parameters from soil classes, Ksat, and land use.

Starts with bucket_from_hsg(), then scales storage and drainage by land-use modifiers. Inputs must already be-read xarray objects and DataFrames.

Parameters:

  • da_hsg (xr.DataArray) – Hydrologic soil group class raster.

  • da_lulc (xr.DataArray) – Land-use or land-cover class raster.

  • df_map (pd.DataFrame) – Bucket parameter table indexed by HSG class.

  • df_modifiers (pd.DataFrame) – Land-use modifier table indexed by class.

  • da_ksat (xr.DataArray, optional) – Saturated hydraulic conductivity raster [mm/hr] used to derive bucket_k.

  • dual_hsg ({"drained", "native"}, optional) – HSG normalization mode, by default "drained".

  • bucket_loss (float or None, optional) – Loss fraction, by default 0.10. None also selects 0.10.

Returns:

Bucket bucket_smax, bucket_k, and bucket_loss rasters.

Return type:

xr.Dataset

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