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利用层次分析法和地理信息系统绘制丘陵流域土壤可蚀性图:以孟加拉国吉大港山区为例

Soil erodibility mapping of hilly watershed using analytical hierarchy process and geographical information system: A case of Chittagong hill tract, Bangladesh.

作者信息

Zumara Rubaiya, Nasher N M Refat

机构信息

Department of Geography and Environment, Jagannath University, Dhaka, Bangladesh.

Faculty of Life and Earth Sciences, Jagannath University, Dhaka, Bangladesh.

出版信息

Heliyon. 2024 Feb 22;10(5):e26728. doi: 10.1016/j.heliyon.2024.e26728. eCollection 2024 Mar 15.

DOI:10.1016/j.heliyon.2024.e26728
PMID:38439892
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10909662/
Abstract

Soil erosion across watersheds and river basins is an alarming environmental deterioration process that poses severe risks to hydrological systems, hydrogeochemical processes, agricultural productivity, and the global natural ecosystem. The use of the Analytical Hierarchy Process (AHP) and Geographical Information System (GIS) to assess soil erosivity for the watershed is widely known. This study applied the AHP and GIS to understand the degree of erosivity of the hilly Karnaphuli watershed in Chattogram, Bangladesh. The study used topographical maps, soil maps, and satellite imagery datasets. It implemented the GIS-based AHP and weighted overlay technique to derive eight factors (slope, elevation, Stream Power Index (SPI), Land Use and Land Cover (LULC), curvature, soil, Topographic Wetness Index (TWI), and rainfall. The geological stage of erosion potential was also identified using Digital Elevation Model (DEM) data through GIS-based hypsometric analysis. The findings demonstrated that the eastern and north-western parts are particularly vulnerable to erosion compared to other parts of the study area. The most dominant variables identified to influence the process of soil erosion are slope, LULC, elevation, and SPI. According to the AHP analysis, slope was the most influential factor (26%), followed by LULC (23.8%), elevation (20.3%), and SPI (13.9%) in the soil erosion process, and the geological stage of erosion potential was determined from the hypsometric curve (S-shaped) and hypsometric integral (0.49), which revealed that moderately eroded areas characterized the whole research region. The findings are significant as they provide valuable information for researchers and planners to address soil erosion and develop measures to control it effectively.

摘要

跨流域和河流盆地的土壤侵蚀是一个令人担忧的环境恶化过程,对水文系统、水文地球化学过程、农业生产力和全球自然生态系统构成严重风险。利用层次分析法(AHP)和地理信息系统(GIS)评估流域的土壤侵蚀力已广为人知。本研究应用AHP和GIS来了解孟加拉国吉大港市丘陵地区卡尔纳普利流域的侵蚀力程度。该研究使用了地形图、土壤图和卫星图像数据集。它实施了基于GIS的AHP和加权叠加技术,得出了八个因素(坡度、海拔、河流功率指数(SPI)、土地利用和土地覆盖(LULC)、曲率、土壤、地形湿度指数(TWI)和降雨量)。还通过基于GIS的地貌分析,利用数字高程模型(DEM)数据确定了侵蚀潜力的地质阶段。研究结果表明,与研究区域的其他部分相比,东部和西北部地区特别容易受到侵蚀。确定影响土壤侵蚀过程的最主要变量是坡度、LULC、海拔和SPI。根据AHP分析,坡度是土壤侵蚀过程中最具影响力的因素(26%),其次是LULC(23.8%)、海拔(20.3%)和SPI(13.9%),并且从地貌曲线(S形)和地貌积分(0.49)确定了侵蚀潜力的地质阶段,这表明整个研究区域以中度侵蚀区域为特征。这些研究结果意义重大,因为它们为研究人员和规划者提供了有价值的信息,以解决土壤侵蚀问题并制定有效控制措施。

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