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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   method.

Code Block
languagepy
titleCreate computational grid
CreateComputationalGrid(flowModel, gridAtFixedLength = True, fixedLength = 200)

This creates a grid with a calculation point every 200 meters.

Secondly, we need to specify the time discretization: start and stop time, and time-step that will be used in the simulation.

Code Block
languagepy
titleSet model times
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 Finally, we need to do is to rename a gridpoint grid point location called currently called "stadsgrachten Zwolle Midden_0.000". Later on in this tutorial, we will import data measured at that location. 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)

 

Code Block
languagepy
titleRename gridpoint location "stadsgrachten Zwolle Midden_0.000" to "Gauging Station"
dataPoint = GetComputationGridLocationByName(flowModel, "stadsgrachten Zwolle Midden_0.000")
dataPoint.Name = "Gauging Station"
Panel

Continue with Run the flow model