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The main thought of this work is to recommend the method of estimating soil erosion and prioritization of watersheds where data availability is major concern. In these circumstances, the use latest technologies such as remote sensing and GIS plays crucial role. The main advantages of these technologies are that, it provides accurate information and that to from any part of the area under investigation. This work was carried out by author for fulfillment of M.Tech degree from IIT Kharagpur, INDIA. The study mainly focuses on application of most widely used Universal Soil Loss Equation (USLE) to…mehr

Produktbeschreibung
The main thought of this work is to recommend the method of estimating soil erosion and prioritization of watersheds where data availability is major concern. In these circumstances, the use latest technologies such as remote sensing and GIS plays crucial role. The main advantages of these technologies are that, it provides accurate information and that to from any part of the area under investigation. This work was carried out by author for fulfillment of M.Tech degree from IIT Kharagpur, INDIA. The study mainly focuses on application of most widely used Universal Soil Loss Equation (USLE) to predict soil erosion hazard in the Upper Damodar Valley Catchment (UDVC) of India. Micro-watershed wise soil loss was estimated and prioritization of micro watersheds was done with the help of annual average R factor obtained from 9 years rainfall data. Other factors viz. K, LS and CP were used for this analysis. The treatment plan for controlling soil erosion is also suggested at micro watershed level. Remote sensing and GIS techniques were applied to prepare various layers of USLE parameters which interactively estimate soil erosion at micro watershed level.
Autorenporträt
Earned M.Tech in 2009 & pursuing PhD in Hydrology & Watershed Management from IIT Kharagpur, India. Currently working as Asst Prof. of Soil & Water Engg in Navsari Agricultural University, Gujarat. His research areas are Hydrological modeling, Watershed management & Application of Remote sensing and GIS for water resources planning & management.