Abstract
Climate, soil, vegetation, topography, and man are the factors that affect soil erosion, and out of these vegetation and soil to some extent are the only factors which man can control. Fertile soil by carrying erosion fills dam reservoir and reduces dam’s economical life, hence economy of country get debilitated big amount. To specify hazard and damage of soil erosion is very important for this reason. Among many environmental hazards, checking land degradation is of utmost importance as it has direct bearing on decline in productivity on arable and non-arable lands. To prevent the erosion and rapid siltation, management of water, soil cover, and vegetation resources on watershed is must. In the present study, expected soil loss from Bina river watershed of Betwa river basin has been estimated using USLE model in GIS platform. The total soil about 4% of the total geographical area of the Bina watershed was found under very severe erosion category having erosion rate more than 120 t/ha/year, whereas the average soil erosion for the Bina basin was found to be 8.7 t/ha/year. Impact of alternate land cover management practices have been analyzed by hypothetically assigning the alternate land use practices and changing the values of controlling factors of USLE model accordingly. The best management practices which increase the food production and also control the soil erosion have been suggested.
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References
Angima SD, Stott DE, O’Neill MK, Ong CK, Weesies GA (2003) Soil erosion prediction using RUSLE for central Kenya highland conditions. Agric Ecosys Environ 97:295–308
Choudhary MK, Nayak TR (2003) Estimation of soil erosion in Sagar lake catchment of central india, watershed hydrology. In: proceedings of the international conference on water and environment, pp. 387–392. Bhopal, India, 15–18 Dec. http://www.grr.ulaval.ca/gae_3005/Documents/References/RUSLE/ah703_ch3.pdf
Singh G, Babu R, Chandra S (1981) Soil loss research prediction in India. Central Soil and Water Conservation Research and Training Institute, Dehradun, Bull. No. T-12/D-9
Sharda VN, Dogra P, Prakash C (2010) Assessment of production losses due to water erosion in rainfed areas of India. J Soil Water Conserv 65:79–91
Wang ED, Cheng X, Williams JR, Cheng X (2006) Predicting soil erosion for alternative land uses. J Environ Qual 35:459–467
Wijitkosum S (2012) Impacts of land use changes on soil erosion in Pa Deng sub-district, adjacent area of Kaeng Krachan national park, Thailand. Soil Water Res 7(1):10–17
Wischmeier WH, Johnson CB, Cross BV (1971) A soil erodibility nomograph for farmland and construction sites. J Soil Water Conserv 26:189–193
Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses—A guide to conservation planning. In: Agriculture handbook. No. 537, U.S. Deptartment of Agriculture, Washington D.C
Acknowledgements
The authors owe their gratefulness to the Director, National Institute of Hydrology, Roorkee and the Coordinator, NIH Regional Centre, Bhopal for providing institutional facilities to complete this work.
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Nayak, T.R., Jaiswal, R.K., Galkate, R.V., Thomas, T. (2018). Impact Assessment of Alternate Land Cover and Management Practices on Soil Erosion: A Case Study. In: Singh, V., Yadav, S., Yadava, R. (eds) Hydrologic Modeling. Water Science and Technology Library, vol 81. Springer, Singapore. https://doi.org/10.1007/978-981-10-5801-1_16
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DOI: https://doi.org/10.1007/978-981-10-5801-1_16
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