Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin
Оценка эрозии почв с использованием модели RUSLE, данных дистанционного зондирования и ГИС: тематическое исследование бассейна Нетрavati
2015-12-01
SCID: 54.1/mg2qqgd4
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Abstract (AI)
Soil erosion is a serious problem arising from agricultural intensification, land degradation and other anthropogenic activities. Assessment of soil erosion is useful in planning and conservation works in a watershed or basin. Modelling can provide a quantitative and consistent approach to estimate soil erosion and sediment yield under a wide range of conditions. In the present study, the soil loss model, Revised Universal Soil Loss Equation (RUSLE) integrated with GIS has been used to estimate soil loss in the Nethravathi Basin located in the southwestern part of India. The Nethravathi Basin is a tropical coastal humid area having a drainage area of 3128 km 2 up to the gauging station. The parameters of RUSLE model were estimated using remote sensing data and the erosion probability zones were determined using GIS. The estimated rainfall erosivity, soil erodibility, topographic and crop management factors range from 2948.16 to 4711.4 MJ/mm·ha − 1 hr − 1 /year, 0.10 to 0.44 t ha − 1 ·MJ − 1 ·mm − 1 , 0 to 92,774 and 0 to 0.63 respectively. The results indicate that the estimated total annual potential soil loss of about 473,339 t/yr is comparable with the measured sediment of 441,870 t/yr during the water year 2002–2003. The predicted soil erosion rate due to increase in agricultural area is about 14,673.5 t/yr. The probability zone map has been derived by the weighted overlay index method indicate that the major portion of the study area comes under low probability zone and only a small portion comes under high and very high probability zone. The results can certainly aid in implementation of soil management and conservation practices to reduce the soil erosion in the Nethravathi Basin.
Key Findings
1
Estimated RUSLE factors ranged from 2,948.16–4,711.4 for rainfall erosivity, 0.10–0.44 for soil erodibility, 0–92,774 for topography, and 0–0.63 for crop management.
2
Expansion of agricultural areas was associated with a predicted soil-erosion increase of approximately 14,673.5 t/year.
3
Most of the basin was classified as low erosion-probability, while only small portions were classified as high or very high probability, supporting targeted conservation planning.
4
Predicted total annual potential soil loss was approximately 473,339 t/year, comparable to the measured sediment load of 441,870 t/year in 2002–2003.
5
The study integrates the RUSLE soil-loss model with remote sensing and GIS to estimate erosion and map erosion-probability zones in the 3,128 km² Nethravathi Basin.
Research Object
Soil erosion and annual soil loss in the Nethravathi Basin
Research Subject
Spatial estimation and probability zoning of soil erosion, including the effects of agricultural expansion, using RUSLE-derived erosivity, erodibility, topographic, and crop-management factors
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2015-12-01
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