# Process each dam
# 10% exceedence, daily data
#================================================#
#=== Loop over each dam ===#
for i in range(len(df_dam_info)):
#=== Get dam info ===#
lat = df_dam_info.ix[i, 'grid_lat']
lon = df_dam_info.ix[i, 'grid_lon']
dam_number = df_dam_info.ix[i, 'dam_number']
dam_name = df_dam_info.ix[i, 'dam_name']
print 'Processing dam {}...'.format(dam_number)
#=== Extract RVIC flow for this dam location ===#
s_rvic = da_rvic_to_consider.loc[:,lat,lon].to_series()
#=== Determine max allowed flow ===#
max_flow = my_functions.determine_max_flow_dam(s_rvic, cfg['OPTION']['exceedence'])
#=== Save results in df ===#
df_dam_info.ix[i,'max_flow_cfs'] = max_flow
#================================================#
# Save new dam info to file
#================================================#
df_dam_info['max_flow_cfs'] = df_dam_info['max_flow_cfs'].map(lambda x: '%.1f' % x)
df_dam_info.to_csv(cfg['OUTPUT']['output_dam_info_new_path'], index=False)
else:
TVA_path = os.path.join(TVA_daily_dir, "{}_{}.daily.1903_2013".format(lat, lon))
if os.path.isfile(TVA_path) == True: # if has TVA data
flag = "TVA"
s_TVA = my_functions.read_Lohmann_route_daily_output(
os.path.join(TVA_daily_dir, "{}_{}.daily.1903_2013".format(lat, lon))
)
s = s_TVA # [cfs]
# === Extract time after reservoir starts operating ===#
s = s.truncate(before=dt.datetime(year_operated, 1, 1))
if len(s) == 0: # if no overlaping time
flag = -1
# === If there is USGS or TVA data extracted, determine max allowed flow ===#
if flag != -1:
max_flow = my_functions.determine_max_flow_dam(s, exceedence)
# === Save results in df ===#
if flag != -1:
df_dam_info.ix[i, "max_flow_cfs"] = max_flow
else:
print "Warning: dam {} does not have either USGS or TVA data!".format(dam_number)
# ================================================#
# Estimate max flow for dams without data
# ================================================#
print "Estimating max flow for dams without data..."
# === Dam 16 - proportional to dam 11 based on drainage area ===#
max_flow_dam11 = df_dam_info[df_dam_info["dam_number"] == 11]["max_flow_cfs"].values[0]
max_flow_dam16 = max_flow_dam11 / 1571.0 * 2627.0 # areal proportional
#=== If doesn't have USGS data, but has TVA data ===#
else:
TVA_path = os.path.join(cfg['INPUT']['TVA_daily_dir'], '{}_{}.daily.1903_2013'.format(lat, lon))
if os.path.isfile(TVA_path)==True: # if has TVA data
flag = 'TVA'
s_TVA = my_functions.read_Lohmann_route_daily_output(\
os.path.join(cfg['INPUT']['TVA_daily_dir'], '{}_{}.daily.1903_2013'.format(lat, lon)))
s = s_TVA # [cfs]
#=== Extract time after reservoir starts operating ===#
s = s.truncate(before=dt.datetime(year_operated,1,1))
if len(s)==0: # if no overlaping time
flag = -1
#=== If there is USGS or TVA data extracted, determine max allowed flow ===#
if flag!=-1:
max_flow = my_functions.determine_max_flow_dam(s, cfg['OPTION']['exceedence'])
#=== Save results in df ===#
if flag!=-1:
df_dam_info.ix[i,'max_flow_cfs'] = max_flow
else:
print 'Warning: dam {} does not have either USGS or TVA data!'.format(dam_number)
#================================================#
# Estimate max flow for dams without data
#================================================#
print 'Estimating max flow for dams without data...'
#=== Dam 16 - proportional to dam 11 based on drainage area ===#
max_flow_dam11 = df_dam_info[df_dam_info['dam_number']==11]['max_flow_cfs'].values[0]
max_flow_dam16 = max_flow_dam11 / 1571.0 * 2627.0 # areal proportional
else:
TVA_path = os.path.join(cfg['INPUT']['TVA_daily_dir'],
'{}_{}.daily.1903_2013'.format(lat, lon))
if os.path.isfile(TVA_path) == True: # if has TVA data
flag = 'TVA'
s_TVA = my_functions.read_Lohmann_route_daily_output(\
os.path.join(cfg['INPUT']['TVA_daily_dir'], '{}_{}.daily.1903_2013'.format(lat, lon)))
s = s_TVA # [cfs]
#=== Extract time after reservoir starts operating ===#
s = s.truncate(before=dt.datetime(year_operated, 1, 1))
if len(s) == 0: # if no overlaping time
flag = -1
#=== If there is USGS or TVA data extracted, determine max allowed flow ===#
if flag != -1:
max_flow = my_functions.determine_max_flow_dam(
s, cfg['OPTION']['exceedence'])
#=== Save results in df ===#
if flag != -1:
df_dam_info.ix[i, 'max_flow_cfs'] = max_flow
else:
print 'Warning: dam {} does not have either USGS or TVA data!'.format(
dam_number)
#================================================#
# Estimate max flow for dams without data
#================================================#
print 'Estimating max flow for dams without data...'
#=== Dam 16 - proportional to dam 11 based on drainage area ===#
max_flow_dam11 = df_dam_info[df_dam_info['dam_number'] ==
#=== If doesn't have USGS data, but has TVA data ===#
else:
TVA_path = os.path.join(TVA_daily_dir, '{}_{}.daily.1903_2013'.format(lat, lon))
if os.path.isfile(TVA_path)==True: # if has TVA data
flag = 'TVA'
s_TVA = my_functions.read_Lohmann_route_daily_output(\
os.path.join(TVA_daily_dir, '{}_{}.daily.1903_2013'.format(lat, lon)))
s = s_TVA # [cfs]
#=== Extract time after reservoir starts operating ===#
s = s.truncate(before=dt.datetime(year_operated,1,1))
if len(s)==0: # if no overlaping time
flag = -1
#=== If there is USGS or TVA data extracted, determine max allowed flow ===#
if flag!=-1:
max_flow = my_functions.determine_max_flow_dam(s, exceedence)
#=== Save results in df ===#
if flag!=-1:
df_dam_info.ix[i,'max_flow_cfs'] = max_flow
else:
print 'Warning: dam {} does not have either USGS or TVA data!'.format(dam_number)
#================================================#
# Estimate max flow for dams without data
#================================================#
print 'Estimating max flow for dams without data...'
#=== Dam 16 - proportional to dam 11 based on drainage area ===#
max_flow_dam11 = df_dam_info[df_dam_info['dam_number']==11]['max_flow_cfs'].values[0]
max_flow_dam16 = max_flow_dam11 / 1571.0 * 2627.0 # areal proportional
