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Add script #141

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64 changes: 64 additions & 0 deletions scripts/LHM_output/create_budgets_LHM_4.3.py
Original file line number Diff line number Diff line change
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import geopandas as gpd
import imod
import numpy as np
import pandas as pd

# create basin_id mask array from basin definitions
# TODO: all node_id's need to be unique. Thats not the case right now!

basin1 = gpd.read_file("ontvangen/hkv_basin_areas_aug-gpkg_2024-08-21_0741/Basin_areas_aug.gpkg")
basin2 = gpd.read_file("ontvangen/export_alle_waterschappen_basin_areas.gpkg")
basin2 = basin2.rename(columns={"basin_node_id": "node_id"})
basins = pd.concat(
[basin1, basin2],
ignore_index=True,
)
array = imod.idf.open("model_uitvoer/bdgriv/bdgriv_sys1_20220101000000_l1.IDF").isel(time=0, layer=0, drop=True)
mask = imod.prepare.rasterize(basins, column="node_id", like=array, fill=0, dtype=np.int32)

# LHM-budget output naming convention

# RIV-package
# sys1: primary system
# sys2: secondary system
# sys3: tertiary system
# sys4: main system; layer 1
# sys5: main system; layer 2
# sys6: boil's / well's

# DRN-package
# sys1: tube drainage
# sys2: ditch dranage
# sys3: OLF

# For the Ribasim schematization we distinguish:
# - Primary system for all basins
# - Secondary system in basins other than the main river system

# For drainage an infiltration input based on LHM-output budgets, we distubute the LHM-systems in the following matter:
# - Primary system -> RIV-sys 1 + 4 + 5
# - Secondary system -> RIV-sys 2 + 3 + 6, DRN-sys 1 + 2 + 3

# read riv-budgets, sum over yx, per basin
# sum primairy systems
budget_ar = imod.idf.open("model_uitvoer/bdgriv/bdgriv_sys1_*l*.IDF").sum(dim="layer").drop_vars(["dy", "dx"])
budget = budget_ar.rename("primair").to_dataset()
for sys in [4, 5]:
budget_ar = imod.idf.open(f"model_uitvoer/bdgriv/bdgriv_sys{sys}_*l*.IDF").sum(dim="layer").drop_vars(["dy", "dx"])
budget["primair"] += budget_ar

# sum secondary systems
budget["secondair"] = imod.idf.open("model_uitvoer/bdgriv/bdgriv_sys2_*l*.IDF").sum(dim="layer").drop_vars(["dy", "dx"])
for sys, package in zip([3, 6, 1, 2, 3], ["riv", "riv", "drn", "drn", "drn"]):
budget_ar = (
imod.idf.open(f"model_uitvoer/bdg{package}/bdg{package}_sys{sys}_*l*.IDF")
.sum(dim="layer")
.drop_vars(["dy", "dx"])
)
budget["secondair"] += budget_ar

# sum per node_id
# negative budgets means drainage from the groundwatermodel
budgets_per_node_id = budget.groupby(mask).sum(dim="stacked_y_x").to_dataframe().unstack(1)
budgets_per_node_id.index.name = "node_id"
budgets_per_node_id.to_csv("budgets_per_node_id.csv")
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