利用修正的通用土壤流失方程(RUSLE)估算尼泊尔中山滑坡的土壤侵蚀

L. Pathak, Kamana Joshi, Pradeep Ghimire
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摘要

本文利用修正的通用土壤流失方程(RUSLE)模型,对尼泊尔西部Rangun Khola流域的土壤侵蚀及其空间分布进行了评估。利用卫星影像、ALOSPALSAR DEM、SOTER土壤数据库、Esri 2020土地覆盖图、DHM降雨数据库等多数据源获取侵蚀因子,并以GIS栅格格式进行综合分析。利用卫星图像和以往文献资料编制滑坡清单,验证了该地区的土壤侵蚀强度。RUSLE模型结果图根据侵蚀严重程度划分为6个等级,9.06%的区域处于极严重的土壤侵蚀风险(> 80吨/公顷“1年”1),表明后果紧急。易受陆面影响的每一级潜在侵蚀的频率比呈现出一种线性关系,描述了滑坡事件/位置数据与验证模型结果的侵蚀图之间合理且令人满意的一致性。研究结果将有助于发现需要优先保护的敏感区,并为决策者和用户机构制定适当的保护规划方案提供有价值的信息,以阻止土壤侵蚀和维持自然平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of soil erosion using the Revised Universal Soil Loss Equation (RUSLE) in Relation to Landslides in Mid-hills of Nepal
An attempt has been made in this research to assess soil erosion and its spatial distribution by the revised universal soil loss equation (RUSLE) model at Rangun Khola Watershed, western Nepal. The erosion factors were acquired from multiple sources (Satellite images, ALOSPALSAR DEM, SOTER soil database, Esri 2020 land cover map, rainfall database of DHM) and an integrated analysis was carried out in raster format of GIS. A landslide inventory was generated on the basis of satellite images and past literature to validate soil erosion intensity in the area. The result map of the RUSLE model was categorized into six levels based on the erosion severity, and 9.06 % of the area was found to be under extremely severe soil erosion risk (> 80 ton ha”1year”1) indicating urgent consequences. The frequency ratios for each level of potential erosion susceptible to landside exhibited a linear relationship depicting reasonable and satisfactory level of agreement between the landslide event/location data and the erosion map that validates the model result. The result of this study will be helpful to detect the sensitive zones presenting a priority of protection and offer valuable information that aids decision-makers and user agencies in creating adequate conservation planning programs to stop soil erosion and maintain the natural balance.
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