Abstract
This study highlights the estimation of soil conservation runoff of the Denwa River Watershed. Remote sensing allied technique was used as dependable and alternative practice to the traditional methods for decision-making process. The major physiographic variables like land use/land cover, soil surface, stream network, water bodies, etc. were analyzed. The outcome of various thematic layers has been synthesized and analyzed to determine hydrological soil group classes to attain curve number. The obtained results demonstrate that the temporal variation in weighted curve number causes differentiation in runoff likely with changes in land use/land cover combined with many soil conditions. In future, this study will be helpful for suitable crop selection, irrigation practice, determining cropping pattern, crop rotation, etc. in the study region.
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Karmakar, P., Muley, A., Kulkarni, G., Bhalchandra, P. (2023). Comparative Assessment of Runoff by SCS-CN and GIS Methods in Un-Gauged Watershed: An Appraisal of Denwa Watershed. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Advances in Computational Intelligence. IJCACI 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1435-7_39
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