Often times the tools within a GIS are not autonomous. Such is the case when deriving runoff characteristics. In this post, I will provide my workflow in determining which locations within the cratered landscape receive the most surface runoff. This runoff model compliments Runge's energy model in explaining the relationship between the amount of moisture available for leaching and soil development.
Methods:
The process of developing a surface runoff and accumulation model consists of multiple steps. A clear and organized workflow model provides the most efficient means of communicating the process (model 1). Below the model is an explanation of each step. All tools used throughout this project may be found in the spatial analyst toolbox under hydrology and surface.
Figure 1: Digital Elevation Model of Thiaumont Platform. The DEM provides all of the necessary elevation data for the entire process. |
Figure 2: Flow direction shows the downslope angle with the steepest gradient |
3a) Once the flow direction has been determined a tool may be used to locate any sinks within the watershed and fill them. Depending on the application of the research, this tool may or may not be used. For example, when observing the watershed of a large area, you may want to exclude depressions that collect surface flow. For my application, each sink (crater) was the target of my study so this step was excluded.
3b) The flow accumulation tool is used to calculate areas with the highest rate of movement depending upon the flow direction layer (figure 3). This shows where surface runoff is most likely to occur and where it will accumulate.
Figure 3: Flow accumulation uses the flow direction to determine where water is most likely to flow across the surface. |
4) After flow accumulation has been determined, the point pour tool is used to delineate the location of drainage basins (ESRI). The locations calculated in step 3b are used to determine where each microwatershed begins and ends (figure 4).
Figure 4: Pour Point uses the flow accumulation previously calculated to show drainage basins. A hillshade was applied to beter visualize the relationship between elevation and water accumulation. |
Results:
The results of this activity provides spatial analysis of water movement and accumulation across a topographic surface. These tools effectively aid in the understanding of fluvial geography by providing spatial representations of where runoff is likely to occur and the location of the resulting drainage basins. Figure 5 shows a three dimensional representation of my study site including hydrologic characteristics that will help in my understanding of soil development under the Runge Energy Model and the Catena concept. According to this model (figure 5), soil development should be accelerated in locations labled as dark blue considering they are unsaturated (Runge).
Conclusion:
This exercise provided invaluable information for my studies on landscape evolution of Verdun. Using functions in hydrology allows me to better understand the processes at work forming the landscape. Next week I will explore the recovery of vegetation using the soil knowledge I gained during the past few weeks.
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