Example #1
0
# catchment mask
catchment_mask = np.ones(shape=dem.shape, dtype=bool)
catchment_mask[np.where(
    dem < -10)] = False  # -99999.0 is current value of dem for nodata points.

# peel the dem. Only when dem is not surrounded by water
boundary_mask = utilities.peel_raster(dem, catchment_mask)

# after peeling, catchment_mask should only be the fruit:
catchment_mask[boundary_mask] = False

# soil types and soil physical properties and soil depth:
peat_type_masked = peat_type_arr * catchment_mask
peat_bottom_elevation = -peat_depth_arr * catchment_mask  # meters with respect to dem surface. Should be negative!

h_to_tra_and_C_dict, K = hydro_utils.peat_map_interp_functions(
    KADJUST)  # Load peatmap soil types' physical properties dictionary
#soiltypes[soiltypes==255] = 0 # 255 is nodata value. 1 is water (useful for hydrology! Maybe, same treatment as canals).

#BOTTOM_ELE = -6.0
#peat_bottom_elevation = np.ones(shape=dem.shape) * BOTTOM_ELE
#peat_bottom_elevation = peat_bottom_elevation*catchment_mask
tra_to_cut = hydro_utils.peat_map_h_to_tra(
    soil_type_mask=peat_type_masked,
    gwt=peat_bottom_elevation,
    h_to_tra_and_C_dict=h_to_tra_and_C_dict)
sto_to_cut = hydro_utils.peat_map_h_to_sto(
    soil_type_mask=peat_type_masked,
    gwt=peat_bottom_elevation,
    h_to_tra_and_C_dict=h_to_tra_and_C_dict)
sto_to_cut = sto_to_cut * catchment_mask.ravel()
Example #2
0
catchment_mask[np.where(
    dem < -10)] = False  # -99999.0 is current value of dem for nodata points.

# 'peel' the dem. Dirichlet BC will be applied at the peel.
boundary_mask = utilities.peel_raster(dem, catchment_mask)

# after peeling, catchment_mask should only be the fruit:
catchment_mask[boundary_mask] = False

# soil types, soil physical properties and soil depth:
peat_type_masked = peat_type_arr * catchment_mask
peat_bottom_elevation = -peat_depth_arr * catchment_mask  # meters with respect to dem surface. Should be negative!

# Load peatmap soil types' physical properties dictionary.
# Kadjust is hydraulic conductivity multiplier for sapric peat
h_to_tra_and_C_dict, K = hydro_utils.peat_map_interp_functions(Kadjust=KADJUST)

# Transmissivity and storage are computed as: T(h) = T(h) - T(peat depth).
#  These quantities are the latter
tra_to_cut = hydro_utils.peat_map_h_to_tra(
    soil_type_mask=peat_type_masked,
    gwt=peat_bottom_elevation,
    h_to_tra_and_C_dict=h_to_tra_and_C_dict)
sto_to_cut = hydro_utils.peat_map_h_to_sto(
    soil_type_mask=peat_type_masked,
    gwt=peat_bottom_elevation,
    h_to_tra_and_C_dict=h_to_tra_and_C_dict)
sto_to_cut = sto_to_cut * catchment_mask.ravel()

# Water level in canals and list of pixels in canal network.
srfcanlist = [dem[coords] for coords in c_to_r_list]