Forecasting Soil Erosion Risk Using GIS and Remote Sensing for the Nam Un Basin, Sakon Nakhon Province, Thailand

被引:0
|
作者
Ruksajai, Narathip [1 ]
Konyai, Supasit [1 ]
Sriboonlue, Vichai [1 ]
机构
[1] Khon Kaen Univ, Fac Engn, Khon Kaen 40002, Thailand
来源
关键词
soil erosion; GIS; RUSLE; AHP; Nam Un Basin; RUSLE MODEL; PREDICTION; CATCHMENT;
D O I
10.15244/pjoes/156791
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Geohazard mapping using remote sensing and GIS is effective. Nam UN classic terrain with soil erosion and other geohazards. The Nam UN Basin's yearly soil loss and high erosion potential are estimated using RUSLE, remote sensing, and GIS. 14.26 t/ha/year of soil erosion is seen on the map. Soil erosion zones are also shown on the map. According to the study, 33.40 percent of the whole area (457.07 kilometers) is prone to severe soil erosion, while 7.72 percent (105.76 kilometers) is prone to high erosion. To decrease soil erosion, decision-makers use soil erosion prognosis analysis. The Analytical Hierarchy Process (AHP) was utilized to identify key soil erosion prone locations by incorporating geo-environmental variables such land use/land cover, geomorphology, Dem, drainage density, slope, elevation, LS factor, rainfall, soil texture, and soil depth. 33.40% of the region is highly prone to soil erosion.
引用
收藏
页码:1767 / 1780
页数:14
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