Estimation of Surface Runoff by Soil Conservation Service Curve Number Model For Upper Cauvery Karnataka

Mohammed Badiuddin Parvez¹ , M Inayathulla²

Section:Research Paper, Product Type: Journal-Paper
Vol.5 , Issue.11 , pp.7-17, Nov-2019

Online published on Nov 30, 2019

Copyright © Mohammed Badiuddin Parvez, M Inayathulla . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Accurate estimation of runoff and sediment yield amount is not only an important task in physiographic but also important for proper watershed management. Watershed is an ideal unit for planning and management of land and water resources. Direct runoff in a catchment depends on soil type, land cover and rainfall. Of the many methods available for estimating runoff from rainfall, the curve number method (SCS-CN) is the most popular. The curve number depends upon soil and land use characteristics. This study was conducted in the Upper Cauvery Karnataka using remote sensing and GIS. SCS-CN method has been used for surface runoff estimation for Eight watersheds of Upper Cauvery. The soil map and land use were created in the GIS environment, because the curve number method is used here as a distributed model. The major advantage of employing GIS in rainfall -runoff modelling is that more accurate sizing and catchment characterization can be achieved. Furthermore, the analysis can be performed much faster, especially when there is a complex mix of land use classes and different soil types. The results showed that the surface runoff ranged from 170.12-599.84 mm in the study area, when rainfall rates were received from 1042.65-1912 mm. To find the relationship between rainfall and runoff rates, The straight line equation was used, That was found there a strong correlation between Runoff and precipitation rates, The value correlation coefficient between them was 86%. The Average depth of runoff is more in watershed A4, Average runoff coefficient is less in Watershed B2, the correlation coefficient is high in A4 to a value of almost 95%. Through of these results, the study recommends take advantage of runoff rates by reserving them at collection of Watershed and then using them for agricultural purposes in the vicinity. This would be better than reserving water from the total area which is 10874.65 square kilometers, and then will evaporate or infiltrate before reaching the dam lake

Key-Words / Index Term :
AMC Condition, Curve Number, Infiltration, Rainfall, Runoff, Theisson polygon

References :
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[5] Mohammed Badiuddin Parvez, M Inayathulla, "Assesment of the Intensity Duration Frequency Curves for Storms in Upper Cauvery Karnataka Based on Pearson Type III Extreme Value", World Academics Journal of Engineering Sciences, Vol.6, Issue.1, pp.23-35, 2019
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[7] Mohammed Badiuddin Parvez, Amritha Thankachan, Chalapathi k, M .Inayathulla. " ESTIMATION OF YIELD BY SOIL CONSERVATION SERVICE CURVE NUMBER MODEL FOR WATERSHED OF MANVI TALUK RAICHUR DISTRICT KARNATAKA" International Journal of Innovative Research in Technology, Volume 6 Issue 5 2019 Page 222-226
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