Open AccessGeo-Information Modeling of Soil Erosion for Sustainable Agriculture Land Management in Sambhunath Municipality
Author(s) -
Bikash Karma Karna,
Shobha Shrestha,
Hriday Lal Koirala
Publication year - 2020
Publication title -
nepalese journal of geoinformatics/journal of geoinformatics nepal
Language(s) - English
Resource type - Journals
eISSN - 2717-5022
pISSN - 2676-1246
DOI - 10.3126/njg.v20i1.39478
Subject(s) - universal soil loss equation , environmental science , soil loss , erosion , land use , hydrology (agriculture) , agriculture , land cover , land management , agricultural land , dryland salinity , soil science , agroforestry , soil biodiversity , soil water , geography , soil fertility , geology , ecology , geomorphology , geotechnical engineering , archaeology , biology
Geo-information science has attempted to estimate the actual soil loss and its correlative interpretation with land use and cover types in an agricultural land, Sambhunath Municipality. Among several empirical and physically based soil erosion models, Revised Universal Soil Loss Equation (RUSLE) are widely used and employed to estimate soil loss based on rainfall, topographic contour, and soil map. The soil erosion ranges values are found from 0 to 2635 t ha-1 yr-1 in terms of soil loss per year in the municipality. Soil erosion rates are found highly correlated with the increasing exposure of land surface in Chure range mostly on forest area. Agriculture lands spatially concentrated in 51.70% of the Municipality extent, is contributing significantly as of 16293 t ha-1 yr-1 of the total potential soil loss from fertile cropland. Based on severity of soil loss, cultivation agriculture areas are priority for reducing soil loss for optimum agriculture management practices in land use planning.