کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4681452 1413816 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علوم زمین و سیاره ای (عمومی)
پیش نمایش صفحه اول مقاله
Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin
چکیده انگلیسی


• RUSLE used to estimate soil loss in a coastal river basin.
• Remote sensing data helped in land use-land cover classification.
• GIS helped to integrate, analyse and map potential soil erosion zones.
• RUSLE model utilizing remote sensing and GIS useful for soil erosion probability prediction.

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 km2 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−1hr−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.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Geoscience Frontiers - Volume 7, Issue 6, November 2016, Pages 953–961
نویسندگان
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