基于归一化差分水分指数(NDWI)和修正通用水土流失方程(RUSLE)模型的干旱与土壤侵蚀关系

Q1 Social Sciences
Muhammad Rendana , Wan Mohd Razi Idris , Febrinasti Alia , Supli Effendi Rahim , Muhammad Yamin , Muhammad Izzudin
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引用次数: 0

摘要

马来西亚的兰加特河流域容易受到土壤侵蚀的风险,因为它暴露在集约土地利用活动中,而且它的地形主要由陡坡和山区组成。此外,气候变化经常使该流域遭受干旱,这对水土保持产生了不利影响。然而,最近的研究很少显示土壤对干旱的反应,例如土壤侵蚀。因此,本研究的目的是评估朗加特河流域干旱与土壤侵蚀的关系。利用2021年11月的Landsat 8卫星图像分析干旱指数,并利用Landsat 8数据建立归一化差水指数(NDWI),生成干旱图。我们使用修正的通用土壤流失方程(RUSLE)模型来预测土壤侵蚀。我们使用相关分析验证了NDWI与土壤侵蚀数据之间的关联。结果表明,研究区南部和北部地区经历了干旱事件。我们预测年均土壤侵蚀约为58.11 t/(hm2•a)。NDWI与土壤侵蚀呈显著正相关,Pearson相关系数为0.86。我们认为坡长和坡度因子是研究区土壤侵蚀的主要影响因子。因此,这些发现可以帮助当局制定有效的措施,以减少未来干旱和土壤侵蚀的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relationship between drought and soil erosion based on the normalized differential water index (NDWI) and revised universal soil loss equation (RUSLE) model
The Langat River Basin in Malaysia is vulnerable to soil erosion risks because of its exposure to intensive land use activities and its topography, which primarily consists of steep slopes and mountainous areas. Furthermore, climate change frequently exposes this basin to drought, which negatively affects soil and water conservation. However, recent studies have rarely shown how soil reacts to drought, such as soil erosion. Therefore, the purpose of this study is to evaluate the relationship between drought and soil erosion in the Langat River Basin. We analyzed drought indices using Landsat 8 satellite images in November 2021, and created the normalized differential water index (NDWI) via Landsat 8 data to produce a drought map. We used the revised universal soil loss equation (RUSLE) model to predict soil erosion. We verified an association between the NDWI and soil erosion data using a correlation analysis. The results revealed that the southern and northern regions of the study area experienced drought events. We predicted an average annual soil erosion of approximately 58.11 t/(hm2•a). Analysis of the association between the NDWI and soil erosion revealed a strong positive correlation, with a Pearson correlation coefficient of 0.86. We assumed that the slope length and steepness factor was the primary contributor to soil erosion in the study area. As a result, these findings can help authorities plan effective measures to reduce the impacts of drought and soil erosion in the future.
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来源期刊
Regional Sustainability
Regional Sustainability Social Sciences-Urban Studies
CiteScore
3.70
自引率
0.00%
发文量
20
审稿时长
21 weeks
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