Practice with case studies

The web interface building river basin simulation models to support water management and planning. In this session we use existing river basin models to practise with real case studies. The estimated time to finish this part is 30 minutes.

At the end of this session you will be able to:

1. Discuss to context specific and rationale when building different models.
2. Apply different features in the interface including: creating new scenarios, adding new abstractions, and creating metrics.

The Tana River Basin

Go to web interface and open the project titled Tana_river_basin. You can then watch the series of video tutorials below to perform the following features:

1. Create a new scenario to assess impact of changes to the system

Scenarios are used to assess how they differ from your existing baseline scenario or to compare with another scenario. In the next video we show how to create a new scenario using as example a river basin model from the Tana River (Kenya).

2. Add a new licensed abstraction node

Let’s see now how to add a new abstraction node in the web interface. We will explore what happens to water availability at a specific location in the water network when water is abstracted from an upstream point. Note: Instead of selecting a 'MonthlyOutput' node as indicated in the video, please use and 'Output' node.

3. Check model runs with the additional abstraction

It is a good practice to check if we get things right every time we change something in the river basin model. In the video below you have the steps to check if the model is working well after including the additional abstraction node.

4. Update and run Baseline model for no abstraction at this point

Up to now we have been operating in the new scenario 'New abstraction node' we created. The simulated flow in the previous video (3. Check model runs with the additional abstraction) is based on the demand data including the new abstraction point. However, in the base line scenario that water abstraction does not exist so we need to remove that information from the baseline scenario (as shown in the next video tutorial). The reason for this update in the baseline scenario is because the model network remains the same for every scenario, and as a result each scenario must contain data for each component of the network (even if the values are zero as in the baseline scenario).

5. Create metrics to summarise performance from a timeseries

INSERT VIDEO