Estimation Of Annual Average Soil Loss, Based On Parasta, Maharashtra, India

747 Words 3 Pages
Title of the research proposal: Estimation of Annual Average Soil Loss, Based on RUSLE Model in Mula Watershed, Godavari Basin, Maharashtra, India
2. Summary of the proposed research:
The Mula watershed is located in the southern part of the Godavari river basin. It is major tributary of river Pravara. Most of the upper Mula watershed is forested and lower part is under agriculture. Upper part of the watershed is under paddy and cereals crops while lower part is under sugarcane, orchard and cereal crops. Soil erosion is a widespread and severe environmental challenge in Mula watershed because of nature of topography, such as hilly terrain, steep slope and deforestation by natural and human activities. It causes degradation of agricultural
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To estimate average annual volume of runoff and sediment loads entering in Mula Dam reservoir
4. Major scientific fields of interest
Application of the study:
1. It is needed for sustainable natural resource development and regional planning.
2. It will help to identify vulnerable areas to soil erosion and how it can be survived through work as contour bunding, check dam, tree plantation (those which survive in the particular geo-climatic conditions).
3. The application of the results will be useful for planning and development to the Government of Maharashtra in the ongoing projects like Jalyukt Shivar Abhiyan and it will also be helpful for NGO’s like Indo-German which works in watershed.
References:
Mohammad E. et al (2012) have worked out runoff and sediment load deposition in Mosul Dam reservoir which is on river Tigris of Iraq using RUSLE model. Results revels that significant sediment loads enter in the reservoir from this valley. They suggested that to minimize the sediment load entering the reservoir, a check dam is to be constructed in suitable
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Ganasri and H. Ramesh (2015) have estimated soil erosion of Nethravathi Basin in Karnataka, by applying RUSLE model using remote sensing. The results showing that the soil erosion rate in agricultural area is about 14,673.5 t/yr. The soil erosion probability zone indicates that the major portion of the watershed comes under low erosion probability zone and small portion comes under very high and high erosion probability zone.
Dahe, P. D. and Borate, P. G. (2015) have applied the RUSLE model for estimating the annual soil loss in Kaas Plateau (ESZ) of Western Ghat, Maharashtra. The results of study are provided useful tool to evaluating soil erosion in similar areas. They suggested that soil management, protection and conservation technique must be adopted to stop soil loss in the identified hotspots. Soil conservation methods such as terracing, bunding, agro-forestry techniques, crop rotation and some biological and physical techniques of soil and water conservation methods must be

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