Estimation of soil loss using remote sensing and geographic information system technique and effect of change in precipitation in 1972 and 1990 (a case study of Dehradun district, Uttrakhand, India)
Student name: Ms Ruchika Tiwari
Guide: Dr Bakim Chandra Oinam
Year of completion: 2012
Host Organisation: RMS India Pvt. Ltd, Noida
Supervisor (Host Organisation): Ms Bina Shetty
Abstract: Soil erosion and sediment yield are strongly affected by land use/land cover
(LULC) and rate of precipitation. Spatially distributed erosion models are of
great interest to assess the expected effect of LULC changes on soil erosion and
sediment yield. However, they can only be applied if spatially distributed data is
available for their calibration. RUSLE (Revised Universal Soil Loss Equation)
model is used for estimating sheet and rill erosion of a watershed's landscape.In
this study area it has been seen that the impact of change in land use and land
cover and rainfall can affect the soil loss of the region.Average annual soil loss
can be calculated by multiplying five factors which are R;Rainfallerositivity,K;
soil erodibility, LS; hill slope and length ,C; crop management factor
andP;conservation support practices.The annual soil loss predictionfor year
1972 to 1990 has increased by 0.14%.Due to the effect of land use and land
coverof 1972 with projected precipitation,predicted soil loss for year 2020,2050
and 2080 is decreased from 14.20% to 0.34%for two emission scenarios whereas
for landcover of 1990 it shows decrease in soil loss 13.82% to 0.33% for year
2020,2050and2080.Average soil loss is the highest for agriculture 3.10
tons/hac/yr and lowest for built up that is 1.43 tons/ha
