Runoff Potential Estimation Based on the RS and GIS Application in Khosro-Abad basin

Runoff is one of the important parameters in hydrologic cycle and water resources management of<br />basins. In this research, Remote Sensing (RS) and Geographic Information System (GIS) techniques<br />were used for runoff potential estimation in Khosro-Abad watershed, located in the Hamedan region.<br />In this regard, first, the various thematic maps layers such as Digital Elevation Model (DEM), land<br />use and land cover, slope, soil hydrologic groups and sub-basins location were prepared. Then, based<br />on the prepared thematic layers, a weighting method was developed to runoff potential estimation of<br />the area. To spatial runoff variability investigating, the classifieds estimated runoff potential (low,<br />medium, high and extreme classes) was evaluated using the SCS method. The SCS method was<br />estimated based on three previous soil moisture conditions (dry, normal and wet). The results showed<br />that the weighting method is enable to runoff potential estimation. This method can be proposed for<br />runoff potential estimation especially in the cases that the needed data were missed. The results also<br />showed that with the previous soil moisture increasing (from dry to wet conditions), the CN increase<br />about 30%.

Abstract licence: CC BY

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