USE OF DIGITAL TOPOGRAPHIC DATA IN PREDICTING POTENTIAL SOIL INFILTRATION PATTERNS

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Year:
2017
Type of Publication:
Article
Keywords:
DEM, GIS, infiltration, drainage pattern
Authors:
Haris Hasan Khan, Arina Khan A. Salim Khan
Abstract:
Infiltration of water into the soil is a function of soil properties as well as land-use land-cover conditions. Mapping soil infiltration variability is crucial for better inputs to physics-based rainfall-runoff simulations. However, a substantial time and effort isspent in mapping the spatial variability especially for large catchments. Spatial patterns representing the potential soil infiltration variability can be used to guide the interpolation of field based point infiltration data. These patterns can be obtained from digital elevation models and field mapped stream hydrographic data. Channel head locations are controlled by the upstream catchment area, the topographic slope, and the permeability of surface cover. Drainage extracted from digital elevation modelsis usually based on channel initiation thresholds that combine upstream catchment area and slope in different proportions, without, of course, considering the permeability of surface cover. The differences in drainage patterns mapped in the field and extracted from the elevation models must, therefore, yield signatures of potential surface permeability variations. With this underlying premise, field based and DEM based drainage networks were compared using GIS tools to yield potential spatial variability of surface permeability. This was compared with the interpolated pattern of field based soil infiltration patterns in a hard rock catchment in southern India. Good correlation was found between the two patterns, confirming the usefulness of the spatial patterns obtained from digital topographic data in guiding the interpolation of field based soil infiltration data.
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