Integrated Use of Remote Sensing and GIS in estimating Soil Erosion in the Tukvar Tea Plantation Area, Darjeeling, India by RUSLE Modelling

Q4 Engineering Disaster Advances Pub Date : 2023-09-15 DOI:10.25303/1610da011016
Manorama Thapa, Pribat Rai
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引用次数: 0

Abstract

Soil erosion is one of the major threats to food security and agricultural sustainability worldwide. Numerous factors including relief, slope, land use, land cover, rainfall pattern, soil texture, conservation techniques and anthropogenic factors, combine to cause soil erosion. The enormity and spatial distribution of soil erosion should be known for effectively assessing and mapping erosion-prone areas. In the hill region, soil loss is a significant component in decreasing stability and persistent loss causes landslides. So in order to study this, various soil erosion models have come up amongst which RUSLE has been adopted by many researchers. The goal of the current study is to forecast the projected soil loss in Tukvar tea plantations of the Darjeeling district. This study will provide an estimate of the amount and rate of erosion in the Darjeeling district's Tukvar tea plantations. This study revealed that the leading factors to soil erosion are slope factors and rainfall erosivity. The geo-coded reference of the geographic extent of soil erosion-prone areas will be useful for micro-level planning and will serve as a useful tool for managing and conserving soil.
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基于RUSLE模型的印度大吉岭图克瓦茶园土壤侵蚀遥感与GIS综合估算
土壤侵蚀是全球粮食安全和农业可持续性的主要威胁之一。地形、坡度、土地利用、土地覆盖、降雨模式、土壤质地、养护技术和人为因素等多种因素共同造成土壤侵蚀。为了有效地评估和绘制易受侵蚀地区的地图,应了解土壤侵蚀的严重程度和空间分布。在丘陵地区,土壤流失是降低稳定性的重要因素,持续流失会导致山体滑坡。因此,为了研究这一问题,人们提出了各种土壤侵蚀模型,其中RUSLE模型被许多研究者所采用。本研究的目的是预测大吉岭地区图克瓦茶园的土壤流失量。本研究将提供大吉岭地区图克瓦茶园侵蚀的数量和速率的估计。研究表明,坡面因子和降雨侵蚀力是土壤侵蚀的主导因子。土壤易侵蚀地区地理范围的地理编码参考资料将有助于微观一级的规划,并将成为管理和保存土壤的有用工具。
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来源期刊
Disaster Advances
Disaster Advances 地学-地球科学综合
CiteScore
0.70
自引率
0.00%
发文量
57
审稿时长
3.5 months
期刊介绍: Information not localized
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