Quick Scenario Builder
The "Quick Scenario Builder" gives you a complete overview of total
irrigation water demand as well as a single user interface to quickly
build scenarios 2 and 3 out of data previously entered under scenario 1.
When the form opens, it shows data for the first balancing year and the dry year type.
A different balancing year is selected by year-selector on top of the form
,
a different hydrological year type is selected by the control on the lower left and then pressing the refresh-button
.
The data table in the form shows the spatial selection (the descriptive name entered in the log table) and the total annual demand as saved in the STP file STP_AGRICULTURE as monthly volumes of each demand center.
The total crop areas shown on the right side are not a data table but rather a list box permitting the selection of records for updating.
Data manipulation is possible in 4 different ways:
- Fill data: For scenario 2 or 3 selected by the fill-button
located under the column, data from scenario one are copied. This does
not only include STP data, but log-table data as well. Afterwards, the
display of demand volumes and irrigated areas is refreshed.
- Empty data: For scenario 2 or 3 selected by the delete-button
located under the column, STP data are set to zero and log data are
removed. Afterwards, the display of demand volumes and irrigated areas
is refreshed.
- Recalculate data:
The 3rd option is more complex. It makes only sense after the scenario
has already been populated with data. You have to select one or more
records in the list box (showing the agricultural areas) and have to
enter a multiplication factor, with which these areas are to be
reduced. Select the option if only the year currently shown should be
updated (this is the default) ,the year shown and the following
years or even all years. After records have been selected and the
multiplication factor has been set to a value <1, the hammer-button
becomes enabled and can be pressed
.
This will recalculated areas and agricultural demands in a simple way,
by just reducing the STP-data and the area-data stored in the log
tables by the entered factor.
- Adjust data to available WW resources: The 4th option is a modification of the recalculate data option, but with the difference that it works completely automatic. (i.e. the correction factors of option 3 are calculated automatically - and individually for each spatial selection). It is adjusting the demand data for the WW irrigation schemes to the avialable resources of the directly linked WWTPs as defined in table T_WW_IRRI_link. This is done for the selected scenario; the correction ratio (i.e. adjustment of irrigation areas) is calculated for the Dry Year Type.
Note on data sources: The gross annual demands (left table) are summarized from the STP tables STP_AGRICULTURE, LOSSES_AGRODISTRIB and STP_LOSSES_ONFARM. The crop areas (right table) are summarized on parameter NAA from table LOG_CROP_VALUES.