def evalDryPeatVol(individual): # this should be returning dry peat volume in a tuple
wt_canals = utilities.place_dams(oWTcanlist, srfcanlist, BLOCK_HEIGHT, individual, CNM)
wt_canal_arr = np.zeros((ny,nx)) # (nx,ny) array with wt canal height in corresponding nodes
for canaln, coords in enumerate(c_to_r_list):
if canaln == 0:
continue # because c_to_r_list begins at 1
wt_canal_arr[coords] = wt_canals[canaln]
# phi_ini[coords] = wt_canals[canaln]
dry_peat_volume =hydro.hydrology('transient', nx, ny, dx, dy, DAYS, ele, phi_ini, catchment_mask, wt_canal_arr, boundary_arr,
peat_type_mask=peat_type_masked, httd=h_to_tra_and_C_dict, tra_to_cut=tra_to_cut, sto_to_cut=sto_to_cut,
diri_bc=DIRI_BC, neumann_bc = None, plotOpt=False, remove_ponding_water=True,
P=P, ET=ET, dt=TIMESTEP)
return dry_peat_volume,
def energy(self):
self.wt_canals = utilities.place_dams(oWTcanlist, srfcanlist,
BLOCK_HEIGHT, self.state, CNM)
wt_canal_arr = np.zeros(
(ny,
nx)) # (nx,ny) array with wt canal height in corresponding nodes
for canaln, coords in enumerate(c_to_r_list):
if canaln == 0:
continue # because c_to_r_list begins at 1
wt_canal_arr[coords] = self.wt_canals[canaln]
# Hinitial[coords] = self.wt_canals[canaln] # It should be like this, but not of much use if hydrology is doing the right thing.
e = hydro.hydrology('transient',
nx,
ny,
dx,
dy,
DAYS,
ele,
phi_ini,
catchment_mask,
wt_canal_arr,
boundary_arr,
peat_type_mask=peat_type_masked,
httd=h_to_tra_and_C_dict,
tra_to_cut=tra_to_cut,
sto_to_cut=sto_to_cut,
diri_bc=DIRI_BC,
neumann_bc=None,
plotOpt=False,
remove_ponding_water=True,
P=P,
ET=ET,
dt=TIMESTEP)
return e
srfcanlist = [dem[coords] for coords in c_to_r_list]
n_canals = len(c_to_r_list)
# HANDCRAFTED WATER LEVEL IN CANALS. CHANGE WITH MEASURED, IDEALLY.
oWTcanlist = [x - CANAL_WATER_LEVEL for x in srfcanlist]
"""
###########################################
Initial configuration of blocks in canals
###########################################
"""
iDamLocation = np.random.randint(1, n_canals,
N_BLOCKS).tolist() # Generate random kvector
iWTcanlist = utilities.place_dams(oWTcanlist, srfcanlist, BLOCK_HEIGHT,
iDamLocation, CNM)
wt_canals = iWTcanlist[:]
"""
#########################################
HYDROLOGY - Parameters
#########################################
"""
ny, nx = dem.shape
dx = 1.
dy = 1. # metres per pixel
boundary_arr = boundary_mask * (dem - DIRI_BC
) # constant Dirichlet value in the boundaries
ele = dem * catchment_mask
# HAND-MADE RULE OF DAM POSITIONS TO ADD:
hand_picked_dams = (11170, 10237, 10514, 2932, 4794, 8921, 4785, 5837,
7300, 6868) # rule-based approach
hand_picked_dams = [
6959, 901, 945, 9337, 10089, 7627, 1637, 7863, 7148, 7138, 3450,
1466, 420, 4608, 4303, 6908, 9405, 8289, 7343, 2534, 9349, 6272,
8770, 2430, 2654, 6225, 11152, 118, 4013, 3381, 6804, 6614, 7840,
9839, 5627, 3819, 7971, 402, 6974, 7584, 3188, 8316, 1521, 856,
770, 6504, 707, 5478, 5512, 1732, 3635, 1902, 2912, 9220, 1496,
11003, 8371, 10393, 2293, 4901, 5892, 6110, 2118, 4485, 6379,
10300, 6451, 5619, 9871, 9502, 1737, 4368, 7290, 9071, 11222, 3085,
2013, 5226, 597, 5038
]
damLocation = hand_picked_dams
wt_canals = utilities.place_dams(oWTcanlist, srfcanlist, BLOCK_HEIGHT,
damLocation, CNM)
"""
#########################################
HYDROLOGY
#########################################
"""
ny, nx = dem.shape
dx = 1.
dy = 1. # metres per pixel (Actually, pixel size is 100m x 100m, so all units have to be converted afterwards)
boundary_arr = boundary_mask * (
dem - DIRI_BC) # constant Dirichlet value in the boundaries
P = read.read_precipitation()
# P = 4
ET = ET * np.ones(shape=P.shape)
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()
srfcanlist = [dem[coords] for coords in c_to_r_list]
n_canals = len(c_to_r_list)
# HANDCRAFTED WATER LEVEL IN CANALS. CHANGE WITH MEASURED, IDEALLY.
oWTcanlist = [x - CANAL_WATER_LEVEL for x in srfcanlist]
wt_canals = utilities.place_dams(oWTcanlist, srfcanlist, 0, [], CNM)
ny, nx = dem.shape
dx = 1.
dy = 1. # metres per pixel (Actually, pixel size is 100m x 100m, so all units have to be converted afterwards)
boundary_arr = boundary_mask * (
dem - DIRI_BC) # constant Dirichlet value in the boundaries
ele = dem * catchment_mask
# Get a pickled phi solution (not ele-phi!) computed before without blocks, independently,
# and use it as initial condition to improve convergence time of the new solution
retrieve_transient_phi_sol_from_pickled = False
if retrieve_transient_phi_sol_from_pickled:
with open(r"pickled/transient_phi_sol.pkl", 'r') as f:
