000032064 001__ 32064
000032064 041__ $$aEnglish
000032064 100__ $$aKhare, D.
000032064 245__ $$aClimate Change Impact on Soil Erosion In the Mandakini River Basin, North India
000032064 260__ $$c2016
000032064 300__ $$a1-11
000032064 520__ $$aCorrect estimation of soil loss at catchment level helps the land and water resources planners to identify priority areas for soil conservation measures. Soil erosion is one of the major hazards affected by the climate change, particularly the increasing intensity of rainfall resulted in increasing erosion, apart from other factors like landuse change. Changes in climate have an adverse effect with increasing rainfall. It has caused increasing concern for modeling the future rainfall and projecting future soil erosion. In the present study, future rainfall has been generated with the downscaling of GCM (Global Circulation Model) data of Mandakini river basin, a hilly catchment in the state of Uttarakhand, India, to obtain future impact on soil erosion within the basin. The USLE is an erosion prediction model designed to predict the long-term average annual soil loss from specific field slopes in specified landuse and management systems (i.e., crops, rangeland, and recreational areas) using remote sensing and GIS technologies. Future soil erosion has shown increasing trend due to increasing rainfall which has been generated from the statistical-based downscaling method.
000032064 700__ $$aMondal, A.
000032064 700__ $$aKundu, S.
000032064 700__ $$aMishra, P. K.
000032064 773__ $$pApplied Water Science
000032064 773__ $$a10.1007/s13201-016-0419-y
000032064 8564_ $$uhttp://dx.doi.org/10.1007/s13201-016-0419-y$$yExternal link (open access)
000032064 980__ $$aARTICLE