Modifying the demands in a scenario

Any referenced datasets can be downloaded from "Module downloads" in the module overview.

Step-by-step:

A new scenario has been created, based on existing settings. Modify the demands within it to set up the conditions for analysis of this scenario.

  1. Open the appropriate .aprx file in ArcGIS Pro.
  2. From the ribbon, InfoWater Pro tab, Project panel, click Initialize.
  3. In the Model Explorer, select the EX_MAXDAY scenario.Model Explorer with EX_MAXDAY scenario selected
  1. At the prompt, click OK to confirm switching to this scenario.

The EX_MAXDAY scenario is activated. Keep in mind that any edits you make with this scenario active will impact the datasets associated with it.

  1. To further confirm that the correct scenario is active, open Scenario Explorer.
    Model Explorer with Scenario Explorer icon highlighted
  1. In the Scenario Explorer, you can see that EX_MAXDAY is selected. Exit the Scenario Explorer.
  2. To modify the demands in the EX_MAXDAY scenario, on the InfoWater Pro ribbon, in the Edit panel, click DB Editor.

In the DB Editor window, notice that the current Demand Set is displayed as *ACTIVE* (EX_MAXDAY).

  1. In the Data Table, expand the Element Hydraulic Data folder and select Junction Demand (Modeling) Data.
  2. Under Data Scope, select Entire Table.
  3. Click OK.
    Open Table window with settings for this tutorial
  1. In the DB Editor, click the header of the Demand 1 (gpm) column to select the column.
  2. In the toolbar, click Block Editing.
    The DB Editor, with the Demand 1 (gpm) column selected and the Block Editing icon highlighted
  1. In the Block Edit popup, set the Operation to Multiply By (*).
  2. For the Value, type 1.2.
    The Block Edit popup, with settings configured
  1. Click OK.

All demands in the EX_MAXDAY database are increased by 20%:

The DB Editor displaying the 20% increased Demand 1 fields

  1. Click Save to save the changes to the database table.
  2. Exit to close the DB Editor.

Now, the existing conditions of this scenario reflect the maximum demands for this network.