采用 RUSLE 方法对东兴都库什山脉斯瓦特河流域的水土流失风险进行空间分析并确定其范围

IF 2.3 Q2 REMOTE SENSING Applied Geomatics Pub Date : 2024-07-05 DOI:10.1007/s12518-024-00567-6
Abdullah Khan, Atta-ur Rahman
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引用次数: 0

摘要

水土流失是一个严重的问题,对环境造成了许多不利影响。它是破坏肥沃农田的一个突出危害。因此,在本研究中,采用修订的通用土壤流失方程 (RUSLE) 对巴基斯坦斯瓦特河流域的土壤侵蚀进行了时空评估。RUSLE 模型的参数包括降雨侵蚀率、土壤可侵蚀性、坡长和坡度、土地管理和支持措施。这些参数是根据白沙瓦地区计量局提供的月平均降雨量数据、粮农组织土壤数据库、大地遥感卫星 5 号和 8 号卫星图像提供的土地利用数据以及 ALOS PALSAR 数字高程模型(DEM)提供的地形数据计算得出的。分析发现,13% 的研究区域遭受了严重侵蚀。斯瓦特河流域的空间分布和易受侵蚀程度的结果被划分为不同的区域,如非常低(59.7%)、低(19.5%)、中等(5.37%)、高(6.86%)和非常高(5.96%)。这些结果表明,有必要在研究区域采取缓解措施,以减少宝贵表土的流失。这项研究有可能为减少侵蚀风险的决策和规划提供有价值的见解。
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Spatial analysis and extent of soil erosion risk using the RUSLE approach in the Swat River Basin, Eastern Hindukush

Soil erosion is a severe issue posing a number of adverse effects on the environment. It is a prominent hazard damaging the fertile agricultural land. Therefore, in this study, a spatio-temporal assessment of soil erosion was carried out in the Swat River Basin, Pakistan by employing the Revised Universal Soil Loss Equation (RUSLE). The parameters of the RUSLE model are rainfall erosivity, soil erodibility, slope length and steepness, land management and support practice. These factors were developed from monthly mean rainfall data obtained from the Regional Metrology Department Peshawar, FAO soil database, land use data prepared from Landsat-5 and 8 satellite imageries, topographic data obtained from the ALOS PALSAR Digital Elevation Model (DEM). The analysis discovered that 13% of the study area experienced severe erosion. Results of the spatial distribution and vulnerability to erosion within the Swat River Basin have been categorized into different zones such as very low (59.7%), low (19.5%), moderate (5.37%), high (6.86%), and very high (5.96%). These results accentuate the necessity for mitigation measures in the study area to mitigate the loss of valuable topsoil. This research possesses the potential to offer valuable insights into decision-making and planning to reduce the risk of erosion.

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来源期刊
Applied Geomatics
Applied Geomatics REMOTE SENSING-
CiteScore
5.40
自引率
3.70%
发文量
61
期刊介绍: Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
期刊最新文献
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