pywfm.IWFMModel.get_subregion_ag_pumping_average_depth_to_water

IWFMModel.get_subregion_ag_pumping_average_depth_to_water()

Return subregional depth-to-groundwater values that are weighted-averaged with respect to agricultural pumping rates during a model run

Returns:

array of weighted-average depth to groundwater

Return type:

np.ndarray

Note

This method is intended to be used when is_for_inquiry=0 while performing a simulation i.e. after calling IWFMModel.simulate_for_one_timestep

See also

IWFMModel.get_zone_ag_pumping_average_depth_to_water

Return zonal depth-to-groundwater values that are weighted-averaged with respect to agricultural pumping rates during a model run

Example

>>> from pywfm import IWFMModel
>>> pp_file = '../Preprocessor/PreProcessor_MAIN.IN'
>>> sim_file = 'Simulation_MAIN.IN'
>>> model = IWFMModel(dll, pp_file, sim_file, is_for_inquiry=0)
>>> while not model.is_end_of_simulation():
...     # advance the simulation time one time step forward
...     model.advance_time()
...
...     # read all time series data from input files
...     model.read_timeseries_data()
...
...     # Simulate the hydrologic process for the timestep
...     model.simulate_for_one_timestep()
...
...     # get subregion average depth to water
...     avg_dtw = model.get_subregion_ag_pumping_average_depth_to_water()
...     print(avg_dtw)
...
...     # print the results to the user-specified output files
...     model.print_results()
...
...     # advance the state of the hydrologic system in time
...     model.advance_state()
.
.
.
*   TIME STEP 2 AT 10/02/1990_24:00
[-999. -999.]
*   TIME STEP 3 AT 10/03/1990_24:00
[-999. -999.]
*   TIME STEP 4 AT 10/04/1990_24:00
[-999. -999.]
...
*   TIME STEP 3651 AT 09/28/2000_24:00
[ 266.03824182 -999.        ]
*   TIME STEP 3652 AT 09/29/2000_24:00
[ 266.19381051 -999.        ]
*   TIME STEP 3653 AT 09/30/2000_24:00
[ 266.34883635 -999.        ]
>>> model.kill()
>>> model.close_log_file()