ANALYSIS OF THE RUNOFF FOR HOSKOTE SUB-WATERSHED USING SCS-CN METHOD AND GEOGRAPHIC INFORMATION SYSTEMS
Keywords:
Remote Sensing, Geographical Information Systems, Sub-Watershed, NRCS-CN, Rainfall-runoff Modelling, AMCSynopsis
Reliable estimation of surface runoff is vital for effective watershed management, especially in regions characterized by variable rainfall patterns. This study investigates the Hoskote Sub-Watershed using the Natural Resources Conservation Service- Curve Number (NRCS-CN) method, integrated with Geographic Information Systems (GIS) and Remote Sensing (RS) techniques, to model the rainfall-runoff relationship. Curve Number (CN) values were derived by overlaying land use/land cover data with hydrologic soil group classifications. Historical rainfall data from 1985 to 2015, sourced from the Indian Meteorological Department, along with satellite-derived thematic layers, served as essential inputs. The findings indicate that the average annual runoff in the sub-watershed is approximately 170.08 mm, constituting about 5% of the mean annual rainfall of 837.70 mm. A strong positive correlation (R = 0.85) between annual rainfall and runoff was observed, with the highest runoff recorded in 2022. The study demonstrates that the NRCS-CN method, when complemented by GIS and RS technologies, provides a reliable and efficient approach for runoff estimation in ungauged catchments.
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