def CRIV_distrib(param,
criv='CRIV.csv',
param_distrib='param_distrib.csv',
sutra_inp_table='param_table.csv',
sutra_inp_file='param.txt',
q_riv='river_budget.txt',
aq_head='head_cell_aq.csv',
criv_value=os.path.join('output', 'CRIV_distrib.csv')):
#--- Geometry - User input
ct = param['ct'] # cell thickness [m]
cw = param['cw'] # cell width [m]
w = param['w'] # river width [m]
d = param['d'] # river depth [m]
a = param['a'] # bank angle [°]
m = param['m'] #riverbed thikness [m]
s1 = 2. # (cw)/100. # general mesh element size [m]
s2 = 0.2 #(cw)/100. # river mesh element size [m]
#--- Geometry - Model input
cw = cw * 3.
d = d + 1.
#--- Hydrodynamic properties
anis = param['anis'] #anisotropy = Kh/Kv
Kh = param['kh'] #Permeability in [L^2] 1m/s = 10^-7m^2
Khb = param['khb'] #riverbed horizontal permeability [L^2]
Kh = Kh * 1e-7
Khb = Khb * 1e-7
if m == 0:
Khb = Kh
if m == 0:
m = ct / 20.
Kvb = Khb
#----- Flow Boundary conditions
h_riv = (ct - 1) # river head
h_left = np.arange(h_riv - 1, h_riv + 1, 1) # left head
#----- Calc Xfar (need to be 0 in this operation)
calcXfar = 0
#----- Gen parameter distribution
# number of random generation
N = 500
ct_sd = param['ct_sd']
cw_sd = param['cw_sd']
w_sd = param['w_sd']
d_sd = param['d_sd']
a_sd = param['a_sd']
m_sd = param['m_sd']
anis_sd = param['anis_sd']
kh_sd = param['kh_sd']
khb_sd = param['khb_sd']
ct_distrib = np.random.normal(ct, ct_sd, N)
cw_distrib = np.random.normal(cw, cw_sd, N)
w_distrib = np.random.normal(w, w_sd, N)
d_distrib = np.random.normal(d, d_sd, N)
a_distrib = np.random.normal(a, a_sd, N)
m_distrib = np.random.normal(m, m_sd, N)
anis_distrib = np.random.normal(np.log10(anis), np.log10(anis_sd), N)
anis_distrib = 10**(anis_distrib)
kh_distrib = np.random.normal(np.log10(Kh), np.log10(kh_sd), N)
kh_distrib = 10**(kh_distrib)
khb_distrib = np.random.normal(np.log10(Khb), np.log10(khb_sd), N)
khb_distrib = 10**(khb_distrib)
output = np.column_stack(
(ct_distrib.flatten(), cw_distrib.flatten(), w_distrib.flatten(),
d_distrib.flatten(), a_distrib.flatten(), m_distrib.flatten(),
anis_distrib.flatten(), kh_distrib.flatten(), khb_distrib.flatten()))
np.savetxt(param_distrib, output, delimiter=' ', fmt='%1.1e')
#tested parameter
Param = h_left
#output file
param_output = criv
conceptual = open(param_output, "w+")
conceptual.close
# clear file if existing
#ccriv = open(criv_value, "w+")
#ccriv.close
with open(param_distrib, 'r') as param_gen:
param_gen = csv.reader(param_gen, delimiter=' ')
for row in param_gen:
try:
with open(sutra_inp_table, 'w') as output:
#write table for each value of tested parameter
param_table = csv.writer(output,
delimiter=' ',
lineterminator='\n')
for i in Param:
param_table.writerow((\
round(float(row[0]),0), round(float(row[1])*3,0), round(float(row[2]),0), round(float(row[3])+1,0),
round(float(row[4]),0), round(float(row[5]),0), float(s1), float(s2),
float(row[6]), float(row[7]), float(row[8]),float(row[8]),
float(i),float(h_riv),calcXfar ))
with open(sutra_inp_table) as csv_data:
reader = csv.reader(csv_data)
rows = [row for row in reader if row]
for row in rows:
row = row
lis = [x.split() for x in row]
with open(sutra_inp_file, 'w') as output:
for x in zip(*lis):
for y in x:
output.write(y + '\n')
xsection_rivaq.gen_mesh()
break
for row in rows:
row = row
lis = [x.split() for x in row]
with open(sutra_inp_file, 'w') as output:
for x in zip(*lis):
for y in x:
output.write(y + '\n')
xsection_rivaq.run()
with open(param_output, 'a') as output:
with open(sutra_inp_file, 'r') as input_parameter:
ct = float(
input_parameter.readline().split()[0])
cw = float(
input_parameter.readline().split()[0])
w = float(
input_parameter.readline().split()[0])
d = float(
input_parameter.readline().split()[0])
a = float(
input_parameter.readline().split()[0])
m = float(
input_parameter.readline().split()[0])
s1 = float(
input_parameter.readline().split()[0])
s2 = float(
input_parameter.readline().split()[0])
anis = float(
input_parameter.readline().split()[0])
Kh = float(
input_parameter.readline().split()[0])
Khb = float(
input_parameter.readline().split()[0])
Kvb = float(
input_parameter.readline().split()[0])
h_left = float(
input_parameter.readline().split()[0])
h_riv = float(
input_parameter.readline().split()[0])
parameter = csv.writer(output,
delimiter=' ',
lineterminator='\n')
flow = np.loadtxt(q_riv)
TOTAL_FLOW = float(flow)
cell_head = np.loadtxt(aq_head)
cell_head = float(cell_head)
parameter.writerow((TOTAL_FLOW, cell_head - h_riv))
data1 = np.genfromtxt(criv,
dtype=[('Q', float),
('param', float)],
delimiter=' ')
Q = data1['Q']
param = data1['param']
#stat
x = param[:, np.newaxis]
y = Q
a, _, _, _ = np.linalg.lstsq(x, y)
CRIV = (float(-a))
criv_file = open(criv_value, "a")
criv_file.write('' + str(CRIV) + '\n')
criv_file.close()
except:
print('error')
def compute_Xfar(param,
xfar='./CRIV.csv',
sutra_inp_table='param_table.csv',
sutra_inp_file='param.txt',
q_riv='river_budget.txt',
aq_head='head_cell_aq.csv',
calc_xfar='xfar.csv',
plot=os.path.join('..', 'output', 'plot_xfar.png')):
#--- Geometry - User input
ct = param['ct'] # cell thickness [m]
w = param['w'] # river width [m]
d = param['d'] # river depth [m]
a = param['a'] # bank angle [°]
m = param['m'] #riverbed thikness [m]
dh = param['dh']
#--- Geometry - Model input
mw = w * 30 # model width is 30 times river width [m]
d = d + 1.
#---mesh element size [m]
s1 = 1. # general mesh element size [m]
s2 = 0.2 # river mesh element size [m]
#--- Hydrodynamic properties
anis = param['anis'] #anisotropy = Kh/Kv
Kh = param['kh'] #Permeability in [L^2] 1m/s = 10^-7m^2
Khb = param['khb'] #riverbed horizontal permeability [L^2]
Kh = Kh * 1e-7
Khb = Khb * 1e-7
if m == 0:
Khb = Kh
if m == 0:
m = ct / 20.
Kvb = Khb
#----- Flow Boundary conditions
r4 = (mw / 2) - (w / 2)
h_riv = (ct - 1) # river head
h_left = h_riv + (r4 * (dh / 100.)) #
#----- Calc Xfar (need to be 1 in this operation)
calcXfar = 1.
with open(sutra_inp_table, 'w') as output:
param_table = csv.writer(
output, delimiter=' ', lineterminator='\n'
) #write table for each value of tested parameter
param_table.writerow((\
float(ct), float(mw), float(w), float(d),
float(a), float(m), float(s1), float(s2),
float(anis), float(Kh), float(Khb), float(Kvb),
float(h_left),float(h_riv), float(calcXfar) ))
with open(sutra_inp_table) as csv_data:
reader = csv.reader(csv_data)
rows = [row for row in reader if row]
for row in rows:
row = row
lis = [x.split() for x in row]
with open(sutra_inp_file, 'w') as output:
for x in zip(*lis):
for y in x:
output.write(y + '\n')
xsection_rivaq.gen_mesh()
xsection_rivaq.run()
data = np.genfromtxt(calc_xfar,
dtype=[('d', float), ('comp_x', float)],
delimiter=' ')
d = data['d']
comp_x = data['comp_x']
x = d * (mw / 2)
y = comp_x
ylabel(' x component [%]', fontsize=17)
xlabel(' Distance from river\'s center [m]', fontsize=17)
grid(True)
plt.plot(x, y, 'bo')
savefig(plot)
plt.close()
def compute_CRIV(param,
criv='CRIV.csv',
sutra_inp_table='param_table.csv',
sutra_inp_file='param.txt',
q_riv='river_budget.txt',
aq_head='head_cell_aq.csv'):
#--- Geometry - User input
ct = param['ct'] # cell thickness [m]
cw = param['cw'] # cell width [m]
w = param['w'] # river width [m]
d = param['d'] # river depth [m]
a = param['a'] # bank angle [°]
m = param['m'] #riverbed thikness [m]
s1 = min(ct / 30., cw / 30.) # general mesh element size [m]
s2 = max(0.1, min(m / 5.,
cw / 20.)) #(cw)/100. # river mesh element size [m]
#--- Geometry - Model input
cw = cw * 3.
d = d + 1.
#--- Hydrodynamic properties
anis = param['anis'] #anisotropy = Kh/Kv
Kh = param[
'kh'] * 1e-7 #Permeability in [m^2] (k [m^2] = 10^(-7) * K [m/s])
Khb = param[
'khb'] * 1e-7 #riverbed horizontal permeability [m^2] (k [m^2] = 10^(-7) * K [m/s])
if m == 0:
Khb = Kh
if m == 0: # no streambed
# set streambed thickness to a minimum value.
# will have no effect since in this case we set Kvb = Kh
m = ct / 20.
Kvb = Khb
#----- Flow Boundary conditions
h_riv = (ct - 1) # river head
h_left = np.arange(h_riv - 5, h_riv + 5.5, 0.5) # left head
#----- Calc Xfar (need to be 0 in this operation)
calcXfar = 0
#tested parameter
Param = h_left
#output file
param_output = criv
conceptual = open(param_output, "w+")
conceptual.close
with open(sutra_inp_table, 'w') as output:
#write table for each value of tested parameter
param_table = csv.writer(output, delimiter=' ', lineterminator='\n')
for i in Param:
param_table.writerow((\
float(ct), float(cw), float(w), float(d),
float(a), float(m), float(s1), float(s2),
float(anis), float(Kh), float(Khb), float(Kvb),
float(i),float(h_riv),calcXfar ))
with open(sutra_inp_table) as csv_data:
reader = csv.reader(csv_data)
rows = [row for row in reader if row]
for row in rows:
row = row
lis = [x.split() for x in row]
with open(sutra_inp_file, 'w') as output:
for x in zip(*lis):
for y in x:
output.write(y + '\n')
xsection_rivaq.gen_mesh()
break
for row in rows:
row = row
lis = [x.split() for x in row]
with open(sutra_inp_file, 'w') as output:
for x in zip(*lis):
for y in x:
output.write(y + '\n')
xsection_rivaq.run()
with open(param_output, 'a') as output:
with open(sutra_inp_file, 'r') as input_parameter:
ct = float(input_parameter.readline().split()[0])
cw = float(input_parameter.readline().split()[0])
w = float(input_parameter.readline().split()[0])
d = float(input_parameter.readline().split()[0])
a = float(input_parameter.readline().split()[0])
m = float(input_parameter.readline().split()[0])
s1 = float(input_parameter.readline().split()[0])
s2 = float(input_parameter.readline().split()[0])
anis = float(input_parameter.readline().split()[0])
Kh = float(input_parameter.readline().split()[0])
Khb = float(input_parameter.readline().split()[0])
Kvb = float(input_parameter.readline().split()[0])
h_left = float(input_parameter.readline().split()[0])
h_riv = float(input_parameter.readline().split()[0])
parameter = csv.writer(output,
delimiter=' ',
lineterminator='\n')
flow = np.loadtxt(q_riv)
TOTAL_FLOW = float(flow)
cell_head = np.loadtxt(aq_head)
cell_head = float(cell_head)
parameter.writerow((TOTAL_FLOW, cell_head - h_riv))
def CRIV_distrib(param, criv = 'CRIV.csv', param_distrib = 'param_distrib.csv', sutra_inp_table = 'param_table.csv',
sutra_inp_file = 'param.txt', q_riv = 'river_budget.txt', aq_head = 'head_cell_aq.csv',
criv_value = os.path.join('output','CRIV_distrib.csv')):
#--- Geometry - User input
ct = param['ct'] # cell thickness [m]
cw = param['cw'] # cell width [m]
w = param['w'] # river width [m]
d = param['d'] # river depth [m]
a = param['a'] # bank angle [°]
m = param['m']#riverbed thikness [m]
s1 = 2.# (cw)/100. # general mesh element size [m]
s2 = 0.2#(cw)/100. # river mesh element size [m]
#--- Geometry - Model input
cw = cw * 3.
d = d + 1.
#--- Hydrodynamic properties
anis = param['anis']#anisotropy = Kh/Kv
Kh = param['kh'] #Permeability in [L^2] 1m/s = 10^-7m^2
Khb = param['khb'] #riverbed horizontal permeability [L^2]
Kh = Kh * 1e-7
Khb = Khb * 1e-7
if m == 0:
Khb = Kh
if m == 0:
m = ct/20.
Kvb = Khb
#----- Flow Boundary conditions
h_riv = (ct - 1) # river head
h_left = np.arange(h_riv - 1, h_riv + 1, 1) # left head
#----- Calc Xfar (need to be 0 in this operation)
calcXfar = 0
#----- Gen parameter distribution
# number of random generation
N = 500
ct_sd = param['ct_sd']
cw_sd = param['cw_sd']
w_sd = param['w_sd']
d_sd = param['d_sd']
a_sd = param['a_sd']
m_sd = param['m_sd']
anis_sd = param['anis_sd']
kh_sd = param['kh_sd']
khb_sd = param['khb_sd']
ct_distrib = np.random.normal(ct, ct_sd, N)
cw_distrib = np.random.normal(cw, cw_sd, N)
w_distrib = np.random.normal(w, w_sd, N)
d_distrib = np.random.normal(d, d_sd, N)
a_distrib = np.random.normal(a, a_sd, N)
m_distrib = np.random.normal(m, m_sd, N)
anis_distrib = np.random.normal(np.log10(anis), np.log10(anis_sd), N)
anis_distrib = 10**(anis_distrib)
kh_distrib = np.random.normal(np.log10(Kh), np.log10(kh_sd), N)
kh_distrib = 10**(kh_distrib)
khb_distrib = np.random.normal(np.log10(Khb), np.log10(khb_sd), N)
khb_distrib = 10**(khb_distrib)
output = np.column_stack((ct_distrib.flatten(),cw_distrib.flatten(),w_distrib.flatten()
,d_distrib.flatten(),a_distrib.flatten(),m_distrib.flatten()
,anis_distrib.flatten(),kh_distrib.flatten(),khb_distrib.flatten()))
np.savetxt(param_distrib,output,delimiter=' ', fmt='%1.1e')
#tested parameter
Param = h_left
#output file
param_output = criv
conceptual = open(param_output, "w+")
conceptual.close
# clear file if existing
#ccriv = open(criv_value, "w+")
#ccriv.close
with open(param_distrib,'r') as param_gen:
param_gen = csv.reader(param_gen, delimiter = ' ')
for row in param_gen:
try:
with open(sutra_inp_table,'w') as output:
#write table for each value of tested parameter
param_table = csv.writer(output, delimiter = ' ', lineterminator = '\n')
for i in Param:
param_table.writerow((\
round(float(row[0]),0), round(float(row[1])*3,0), round(float(row[2]),0), round(float(row[3])+1,0),
round(float(row[4]),0), round(float(row[5]),0), float(s1), float(s2),
float(row[6]), float(row[7]), float(row[8]),float(row[8]),
float(i),float(h_riv),calcXfar ))
with open(sutra_inp_table) as csv_data:
reader = csv.reader(csv_data)
rows = [row for row in reader if row]
for row in rows:
row = row
lis=[x.split() for x in row]
with open(sutra_inp_file,'w') as output:
for x in zip(*lis):
for y in x:
output.write(y+'\n')
xsection_rivaq.gen_mesh()
break
for row in rows:
row = row
lis=[x.split() for x in row]
with open(sutra_inp_file,'w') as output:
for x in zip(*lis):
for y in x:
output.write(y+'\n')
xsection_rivaq.run()
with open(param_output,'a') as output:
with open(sutra_inp_file,'r') as input_parameter:
ct = float( input_parameter.readline().split()[0] )
cw = float( input_parameter.readline().split()[0] )
w = float( input_parameter.readline().split()[0] )
d = float( input_parameter.readline().split()[0] )
a = float( input_parameter.readline().split()[0] )
m = float( input_parameter.readline().split()[0] )
s1 = float( input_parameter.readline().split()[0] )
s2 = float( input_parameter.readline().split()[0] )
anis = float( input_parameter.readline().split()[0] )
Kh = float( input_parameter.readline().split()[0] )
Khb = float( input_parameter.readline().split()[0] )
Kvb = float( input_parameter.readline().split()[0] )
h_left = float( input_parameter.readline().split()[0] )
h_riv = float( input_parameter.readline().split()[0] )
parameter = csv.writer(output, delimiter = ' ', lineterminator = '\n')
flow = np.loadtxt(q_riv)
TOTAL_FLOW = float(flow)
cell_head = np.loadtxt(aq_head)
cell_head = float(cell_head)
parameter.writerow((TOTAL_FLOW, cell_head-h_riv))
data1 = np.genfromtxt(criv, dtype=[('Q',float),('param',float)], delimiter = ' ')
Q = data1['Q']
param = data1['param']
#stat
x = param[:,np.newaxis]
y= Q
a, _, _, _ = np.linalg.lstsq(x, y)
CRIV = (float(-a))
criv_file = open(criv_value, "a")
criv_file.write(''+str(CRIV)+'\n')
criv_file.close()
except:
print('error')
def compute_Xfar(param, xfar = './CRIV.csv', sutra_inp_table = 'param_table.csv',
sutra_inp_file = 'param.txt', q_riv = 'river_budget.txt', aq_head = 'head_cell_aq.csv',
calc_xfar = 'xfar.csv', plot = os.path.join('..','output','plot_xfar.png')) :
#--- Geometry - User input
ct = param['ct'] # cell thickness [m]
w = param['w'] # river width [m]
d = param['d'] # river depth [m]
a = param['a'] # bank angle [°]
m = param['m']#riverbed thikness [m]
dh = param['dh']
#--- Geometry - Model input
mw = w*30 # model width is 30 times river width [m]
d = d + 1.
#---mesh element size [m]
s1 = 1. # general mesh element size [m]
s2 = 0.2 # river mesh element size [m]
#--- Hydrodynamic properties
anis = param['anis']#anisotropy = Kh/Kv
Kh = param['kh'] #Permeability in [L^2] 1m/s = 10^-7m^2
Khb = param['khb'] #riverbed horizontal permeability [L^2]
Kh = Kh * 1e-7
Khb = Khb * 1e-7
if m == 0:
Khb = Kh
if m == 0:
m = ct/20.
Kvb = Khb
#----- Flow Boundary conditions
r4 = (mw/2) - (w/2)
h_riv = (ct - 1) # river head
h_left = h_riv + (r4 * (dh/100.)) #
#----- Calc Xfar (need to be 1 in this operation)
calcXfar = 1.
with open(sutra_inp_table,'w') as output:
param_table = csv.writer(output, delimiter = ' ', lineterminator = '\n') #write table for each value of tested parameter
param_table.writerow((\
float(ct), float(mw), float(w), float(d),
float(a), float(m), float(s1), float(s2),
float(anis), float(Kh), float(Khb), float(Kvb),
float(h_left),float(h_riv), float(calcXfar) ))
with open(sutra_inp_table) as csv_data:
reader = csv.reader(csv_data)
rows = [row for row in reader if row]
for row in rows:
row = row
lis=[x.split() for x in row]
with open(sutra_inp_file,'w') as output:
for x in zip(*lis):
for y in x:
output.write(y+'\n')
xsection_rivaq.gen_mesh()
xsection_rivaq.run()
data = np.genfromtxt(calc_xfar, dtype=[('d',float),('comp_x',float)], delimiter = ' ')
d = data['d']
comp_x = data['comp_x']
x = d*(mw/2)
y = comp_x
ylabel(' x component [%]', fontsize =17 )
xlabel(' Distance from river\'s center [m]', fontsize =17)
grid(True)
plt.plot(x, y, 'bo')
savefig(plot)
plt.close()
def compute_CRIV(param, criv = 'CRIV.csv', sutra_inp_table = 'param_table.csv',
sutra_inp_file = 'param.txt', q_riv = 'river_budget.txt', aq_head = 'head_cell_aq.csv'):
#--- Geometry - User input
ct = param['ct'] # cell thickness [m]
cw = param['cw'] # cell width [m]
w = param['w'] # river width [m]
d = param['d'] # river depth [m]
a = param['a'] # bank angle [°]
m = param['m']#riverbed thikness [m]
s1 = min( ct/30., cw/30.) # general mesh element size [m]
s2 = max(0.1, min( m/5., cw/20.)) #(cw)/100. # river mesh element size [m]
#--- Geometry - Model input
cw = cw * 3.
d = d + 1.
#--- Hydrodynamic properties
anis = param['anis']#anisotropy = Kh/Kv
Kh = param['kh']*1e-7 #Permeability in [m^2] (k [m^2] = 10^(-7) * K [m/s])
Khb = param['khb']*1e-7 #riverbed horizontal permeability [m^2] (k [m^2] = 10^(-7) * K [m/s])
if m == 0:
Khb = Kh
if m == 0: # no streambed
# set streambed thickness to a minimum value.
# will have no effect since in this case we set Kvb = Kh
m = ct/20.
Kvb = Khb
#----- Flow Boundary conditions
h_riv = (ct - 1) # river head
h_left = np.arange(h_riv - 5, h_riv + 5.5, 0.5) # left head
#----- Calc Xfar (need to be 0 in this operation)
calcXfar = 0
#tested parameter
Param = h_left
#output file
param_output = criv
conceptual = open(param_output, "w+")
conceptual.close
with open(sutra_inp_table,'w') as output:
#write table for each value of tested parameter
param_table = csv.writer(output, delimiter = ' ', lineterminator = '\n')
for i in Param:
param_table.writerow((\
float(ct), float(cw), float(w), float(d),
float(a), float(m), float(s1), float(s2),
float(anis), float(Kh), float(Khb), float(Kvb),
float(i),float(h_riv),calcXfar ))
with open(sutra_inp_table) as csv_data:
reader = csv.reader(csv_data)
rows = [row for row in reader if row]
for row in rows:
row = row
lis=[x.split() for x in row]
with open(sutra_inp_file,'w') as output:
for x in zip(*lis):
for y in x:
output.write(y+'\n')
xsection_rivaq.gen_mesh()
break
for row in rows:
row = row
lis=[x.split() for x in row]
with open(sutra_inp_file,'w') as output:
for x in zip(*lis):
for y in x:
output.write(y+'\n')
xsection_rivaq.run()
with open(param_output,'a') as output:
with open(sutra_inp_file,'r') as input_parameter:
ct = float( input_parameter.readline().split()[0] )
cw = float( input_parameter.readline().split()[0] )
w = float( input_parameter.readline().split()[0] )
d = float( input_parameter.readline().split()[0] )
a = float( input_parameter.readline().split()[0] )
m = float( input_parameter.readline().split()[0] )
s1 = float( input_parameter.readline().split()[0] )
s2 = float( input_parameter.readline().split()[0] )
anis = float( input_parameter.readline().split()[0] )
Kh = float( input_parameter.readline().split()[0] )
Khb = float( input_parameter.readline().split()[0] )
Kvb = float( input_parameter.readline().split()[0] )
h_left = float( input_parameter.readline().split()[0] )
h_riv = float( input_parameter.readline().split()[0] )
parameter = csv.writer(output, delimiter = ' ', lineterminator = '\n')
flow = np.loadtxt(q_riv)
TOTAL_FLOW = float(flow)
cell_head = np.loadtxt(aq_head)
cell_head = float(cell_head)
parameter.writerow((TOTAL_FLOW, cell_head-h_riv))
