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@article{165113,
        author = {Darshan Madkar and Darshan Shitole and rajmangesh Hambarde and Rishikesh Saidanawaru and Abhishek Sarsekar},
        title = {Advanced GIS-Based Sediment Analysis for Dam Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {11},
        number = {1},
        pages = {506-511},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=165113},
        abstract = {Groundwater is one of the most important natural resources, which supports human health, economic development and ecological diversity. Due to over exploitation, the ground water systems are affected and require management to maintain the conditions of ground water resources within acceptable limits. With the development of computers and advances in information technology, efficient techniques for water management have evolved. Although the use of these techniques in groundwater studies has rapidly increased since last decade the success rate is very limited. This research presents geographic information systems (GIS) based application for investigating sediment deposits of Khadakwasla Dam. Spatial data were collected from aerial photographs, bathymetric data, and satellite images corresponding to the study area. This method for assessment of reservoir sedimentation uses the fact, that the water spread area of reservoir at various elevations keeps on decreasing due to sedimentation. The purpose of the present study is to estimate the amount of suspended sediment in the dam basin using the remote sensing facilities and satellite images of powerful sensors in the field of water studies and then comparing the results with sediment data. Traditional methods are inconvenient, expensive and time consuming. Since applying the remote sensing technique has a greater speed and precision compared to traditional methods.},
        keywords = {Geographical Information System (GIS), Sediment Deposition in dam, ARC-GIS software, Satellite Remote Sensing (SRS)},
        month = {},
        }