(datetime.datetime(d.year + 1, 1, 1) -
datetime.datetime(d.year, 7, 1)).days for d in
[start + datetime.timedelta(minutes=tstep) * i for i in range(nsteps)]
]
# specify the time series type
tstype = 'evaporation'
# give the dataset a unique identifier
identifier = 'example_evap'
# finally need the start date, a list of the data, and the time step (min)
hspfmodel.add_timeseries(tstype, identifier, start, evaporation, tstep=tstep)
# assign the time series for this model
hspfmodel.assign_watershed_timeseries(tstype, identifier)
# add some random rainfall
rainfall = [
random.randint(0, 20) if random.random() > 0.95 else 0.
for i in range(nsteps)
]
# assign the precipitation time series to the file
tstype = 'precipitation'
wdm.close('hunting.wdm')
# make a list of the times in the daily time series using datetime "timedelta"
delta = datetime.timedelta(days = 1)
times = [start + i * delta for i in range(len(precip))]
# build the model (file will all be called example02)
hspfmodel.build_from_watershed(watershed, 'example02', ifraction = ifraction,
tstep = tstep)
# now add the time series to the model
hspfmodel.add_timeseries('precipitation', 'hunting_prec', start, precip,
tstep = tstep)
hspfmodel.add_timeseries('evaporation', 'hunting_evap', start, evap,
tstep = tstep)
# and assign the time series to all the operations in the watershed
hspfmodel.assign_watershed_timeseries('precipitation', 'hunting_prec')
hspfmodel.assign_watershed_timeseries('evaporation', 'hunting_evap')
# this simulation used the hydrology modules (and no others); need to create the
# operations for the model and the default values for the hydrology parameters
hspfmodel.add_hydrology()
# build the input wdm file
# actions, and reach network from the old file but contains no time series
# or time series assignments
simplified.build_from_existing(hspfmodel, newmodel)
# find the comid of the gage and add the flow data to the new model
d = {
v: k
for k, v in list(hspfmodel.subbasin_timeseries['flowgage'].items())
}
comid = d[gageid]
s, tstep, data = hspfmodel.flowgages[gageid]
simplified.add_timeseries('flowgage', gageid, s, data, tstep=tstep)
simplified.assign_subbasin_timeseries('flowgage', comid, gageid)
# add and assign the snowfall and snowdepth from the old model
s, tstep, data = hspfmodel.snowdepths[HUC8]
simplified.add_timeseries('snowdepth', HUC8, s, data, tstep=tstep)
simplified.assign_watershed_timeseries('snowdepth', HUC8)
s, tstep, data = hspfmodel.snowfalls[HUC8]
simplified.add_timeseries('snowfall', HUC8, s, data, tstep=tstep)
simplified.assign_watershed_timeseries('snowfall', HUC8)
# add other time series to the model and assign them to the whole watershed
# note that the first year from the PyHSPF data is used for the warmup
# since the BASINS station data are incomplete
datetime.datetime(d.year, 7, 1)).days
for d in [start + datetime.timedelta(minutes = tstep) * i
for i in range(nsteps)]
]
# specify the time series type
tstype = 'evaporation'
# give the dataset a unique identifier
identifier = 'example_evap'
# finally need the start date, a list of the data, and the time step (min)
hspfmodel.add_timeseries(tstype, identifier, start, evaporation, tstep = tstep)
# now tell HSPF how to use the time series for this model. the unique
# identifier for the time series and the unique subbasin numbers are used
# to make this connection. we will assign this time series to the whole
# watershed, although you can have a unique time series for each subbasin,
# landuse category, or each operation if you want.
hspfmodel.assign_watershed_timeseries(tstype, identifier)
# now add some random rainfall. here it is assumed there is a 5% chance of rain
# every 4-hour period and that the rainfall is an integer between 0 and 20.
import random
# make random numbers for each 4 hour timestep
start, end = wdm.get_dates(wdmFile, 101)
x = 1
# Add specific basin met data
for basin in range(0, len(basinRecords)):
# The DSNs are known from the exp file so just use those this time
prcp = wdm.get_data(wdmFile, 100 + x)
evap = wdm.get_data(wdmFile, 200 + x)
# Add and assign timeseries data
hspfmodel.add_timeseries('precipitation', ('prcp_' + str(x)),
start,
prcp,
tstep=tstep)
hspfmodel.add_timeseries('evaporation', ('evap_' + str(x)),
start,
evap,
tstep=tstep)
# Assign to specific basin
hspfmodel.assign_subbasin_timeseries('precipitation', str(basin + 1),
('prcp_' + str(x)))
hspfmodel.assign_subbasin_timeseries('evaporation', str(basin + 1),
('evap_' + str(x)))
x += 1
# make the HSPFModel instance
hspfmodel = HSPFModel(units='English')
# build the model (file will all be called example03)
hspfmodel.build_from_watershed(watershed,
'example03',
ifraction=ifraction,
tstep=tstep)
# now add the time series to the model
hspfmodel.add_timeseries('precipitation',
'hunting_prec',
start,
precip,
tstep=60)
hspfmodel.add_timeseries('evaporation', 'hunting_evap', start, evap, tstep=60)
hspfmodel.add_timeseries('flowgage', 'hunting_flow', start, oflow, tstep=60)
# and assign the watershed time series to all the operations
hspfmodel.assign_watershed_timeseries('precipitation', 'hunting_prec')
hspfmodel.assign_watershed_timeseries('evaporation', 'hunting_evap')
# assign the flowgage to the subbasin 30 (the outlet)
hspfmodel.assign_subbasin_timeseries('flowgage', '30', 'hunting_flow')
# this simulation used the hydrology modules (and no others); need to set the
delta = datetime.timedelta(days=1)
times = [start + i * delta for i in range(len(precip))]
# build the model (file will all be called example02)
hspfmodel.build_from_watershed(watershed,
'example02',
ifraction=ifraction,
tstep=tstep)
# now add the time series to the model
hspfmodel.add_timeseries('precipitation',
'hunting_prec',
start,
precip,
tstep=tstep)
hspfmodel.add_timeseries('evaporation',
'hunting_evap',
start,
evap,
tstep=tstep)
# and assign the time series to all the operations in the watershed
hspfmodel.assign_watershed_timeseries('precipitation', 'hunting_prec')
hspfmodel.assign_watershed_timeseries('evaporation', 'hunting_evap')
# this simulation used the hydrology modules (and no others); need to create the
# operations for the model and the default values for the hydrology parameters
# build new model parameters from the base model; the build_from_existing
# method can be used to copy the perlnds, implnds, rchreses, special
# actions, and reach network from the old file but contains no time series
# or time series assignments
simplified.build_from_existing(hspfmodel, newmodel)
# find the comid of the gage and add the flow data to the new model
d = {v:k for k, v in hspfmodel.subbasin_timeseries['flowgage'].items()}
comid = d[gageid]
s, tstep, data = hspfmodel.flowgages[gageid]
simplified.add_timeseries('flowgage', gageid, s, data, tstep = tstep)
simplified.assign_subbasin_timeseries('flowgage', comid, gageid)
# add and assign the snowfall and snowdepth from the old model
s, tstep, data = hspfmodel.snowdepths[HUC8]
simplified.add_timeseries('snowdepth', HUC8, s, data, tstep = tstep)
simplified.assign_watershed_timeseries('snowdepth', HUC8)
s, tstep, data = hspfmodel.snowfalls[HUC8]
simplified.add_timeseries('snowfall', HUC8, s, data, tstep = tstep)
simplified.assign_watershed_timeseries('snowfall', HUC8)
# add other time series to the model and assign them to the whole watershed
# note that the first year from the PyHSPF data is used for the warmup
# since the BASINS station data are incomplete
# list of times
times = [start + (end-start) / len(precip) * i for i in range(len(precip))]
# make the HSPFModel instance
hspfmodel = HSPFModel(units = 'English')
# build the model (file will all be called example03)
hspfmodel.build_from_watershed(watershed, 'example03', ifraction = ifraction,
tstep = tstep)
# now add the time series to the model
hspfmodel.add_timeseries('precipitation', 'hunting_prec', start, precip,
tstep = 60)
hspfmodel.add_timeseries('evaporation', 'hunting_evap', start, evap,
tstep = 60)
hspfmodel.add_timeseries('flowgage', 'hunting_flow', start, oflow,
tstep = 60)
# and assign the watershed time series to all the operations
hspfmodel.assign_watershed_timeseries('precipitation', 'hunting_prec')
hspfmodel.assign_watershed_timeseries('evaporation', 'hunting_evap')
# assign the flowgage to the subbasin 30 (the outlet)
hspfmodel.assign_subbasin_timeseries('flowgage', '30', 'hunting_flow')
# this simulation used the hydrology modules (and no others); need to set the