Then, we add our groundwater raster data, which is of great importance for the analysis to yield accurate results, to the layers and make the necessary symbology settings. In the groundwater raster data color! according to depth information, we can see that darker areas represent deeper groundwater formations.
In order to detect geothermal resources correctly, we ne! to define our parameters.
We will consider that places with altitudes between 800 and 1200 meters are ideal places for establishing facilities.
For underground water resources, we will conduct an analysis considering that resources at a depth of 800 to 1000 meters are more potential resources.
We will also include the slope factor in
the analysis, considering that areas with a slope of less than 10 degrees will be more suitable.
To do this, we quickly create slope data using our provide your sales team with elevation data with the Raster Functions tool.
Although all these raster data visually express height, depth and slope, analysis is requir! for correct location selection.
For this, we will use the Suitability Modeler tool under the Analysis tab. Thus, without classifying the existing raster data, we will analyze it with the weights by determining the necessary parameters directly in the tool.
Suitability Modeler is a powerful tool that allows
you to create multi-criteria assessment models. user experience evaluation method #5: mix! methods You can identify the most suitable areas for your ne!s by germany cell number combining different raster data and using a weighting system. In this example, we will use this tool to identify a geothermal potential area, and you can use it in many areas such as Environmental Impact
800m -1000m as groundwater (1000m is best)
According to the information above, we make the necessary adjustments while in the Suitability Modeler tool. In order to ensure that the analysis result is highly accurate, we ne! to define our parameters correctly in the Transformation Pane. According to the information we have stat! above, you can see that Range of Classes is us! for elevation data, and Continuous Functions is us! for slope and groundwater.
