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To begin with, create a new region for this section.

The model is now almost ready to be run. We just need to specify three more small details at this point of the tutorial. First of all, the model needs to be discretized spatially. In other words, we have to generate the computational grid for the network. This is done with the CreateComputationalGrid  Image Added method.

CreateComputationalGrid(flowModel, gridAtFixedLength = True, fixedLength = 200)

This creates an a grid that has with a calculation point at every 200 meters.

Secondly, we need to set the calculation times (specify the time discretization: start and stop time, and the timestep)time-step that will be used in the simulation.

from datetime import datetime, time # region Import libraries

SetModelTimes(flowModel, datetime(2007, 1, 15, 1, 0, 0), datetime(2007, 1, 17, 1, 0, 0), time(0,10,0,))

The last thing we need to do is to rename a gridpoint location called Finally, we rename a grid point location, currently called "stadsgrachten Zwolle Midden_0.000". Later on in this tutorial, we will import data measured at that place. In order to easily identify the location from now on, we will give it the name "Gauging Station". This is because we use this later on in the tutorial (we will have measurements for this point)

dataPoint = GetComputationGridLocationByName(flowModel, "stadsgrachten Zwolle Midden_0.000")
dataPoint.Name = "Gauging Station"

Note: The icon Image Added indicates functions that you might find interesting to see how they have been built. You can do this by opening the corresponding library (another normal script python file on its own) in the toolbox and checking the code which defines the function or method you are interested in.