Assessment of Reservoir Sedimentation Using RS and GIS Techniques: A Case Study of Singda Dam, Manipur, India

Abstract

Through the use of remote sensing (RS) and geographic information systems (GIS), the study sought to evaluate the reservoir sedimentation at the Singda Dam in Manipur, India. The sedimentation assessment was performed using the SWAT (Soil & Water Assessment Tool) model. In order to determine the LULC (Land Use Land Cover) of the Singda watershed between 2011 and 2020, this study also used RS and GIS methodologies. Datasets from Landsat-7 (ETM+) and Landsat-8 (OLI) were used for the chosen time period. According to the results, the proportions of the various LULC kinds in the study region between 2011 and 2020 were found to have significantly changed. The SWAT model was successfully executed, according to several outputs. Sediment yield and discharge were considered to be relevant factors for this project and are the subject of analysis. The Singda Watershed produces and discharges sediment at an average yearly rate of 2014095.53 tons and 635.92 cumecs, respectively. The coefficient of determination (R2) was found to be 0.82, or 82% for sediment loss. According to the study, this model provides satisfactory results and can be used in reservoir areas with comparable geology.