Integrated field-based and geospatial evaluation of river bank erosion susceptibility mapping using AHP and BEHI: Insights from the lower Kangsabati Basin, West Bengal, India

IF 2.5 Q2 REMOTE SENSING
Swapenendu Lodh, Ujjwal Bhandari, Bappaditya Koley
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引用次数: 0

Abstract

Riverbank erosion represents a major fluvio-hydrological hazard that threatens the socio-economic wellbeing and environmental integrity of floodplain communities. This study assesses riverbank erosion susceptibility in the lower Kangsabati River Basin, West Bengal, India, using an integrated geospatial framework that combines the Analytic Hierarchy Process (AHP) and the Bank Erosion Hazard Index (BEHI). Thirteen physiographic and anthropogenic factors—including slope, geology, drainage density, soil characteristics, land use, and vegetation indices—were incorporated to construct an AHP-based susceptibility model, while BEHI scores were calculated from field investigations at 27 streambank sites based on bank height ratio, root depth and density, surface protection, and bank angle. The results indicate that 20 villages fall within high to extreme erosion-susceptibility zones according to the AHP model, whereas 19 villages are classified similarly using BEHI, with locations such as Kuchiar Mahar, Bhatpara, and Hatihalka identified as particularly vulnerable. The findings demonstrate the effectiveness of integrating AHP and BEHI for delineating erosion-prone areas and provide valuable insights for decision-makers to prioritize mitigation measures, policy interventions, and sustainable riverbank management strategies. Overall, the proposed framework underscores the importance of integrating remote sensing, GIS, and field-based assessments to enhance erosion hazard mitigation and inform future research on the socio-environmental consequences of riverbank instability.

基于AHP和BEHI的基于现场和地理空间的河岸侵蚀敏感性综合评价:来自印度西孟加拉邦Kangsabati盆地下游的见解
河岸侵蚀是一种主要的河流水文灾害,威胁着洪泛区社区的社会经济福祉和环境完整性。本研究采用层次分析法(AHP)和河岸侵蚀危害指数(BEHI)相结合的综合地理空间框架,对印度西孟加拉邦康萨巴蒂河下游流域的河岸侵蚀敏感性进行了评估。结合坡度、地质、排水密度、土壤特征、土地利用和植被指数等13个地理和人为因素,构建了基于ahp的敏感性模型,并根据河岸高度比、根系深度和密度、地表保护和河岸角度对27个河岸点进行了实地调查,计算了BEHI得分。结果表明,根据AHP模型,20个村庄属于高至极端侵蚀易感性区,而使用BEHI对19个村庄进行了类似的分类,其中Kuchiar Mahar, Bhatpara和Hatihalka等地点被确定为特别脆弱。研究结果表明,AHP和BEHI相结合的方法在划分侵蚀易发区域方面是有效的,并为决策者优先考虑缓解措施、政策干预和可持续河岸管理策略提供了有价值的见解。总体而言,拟议的框架强调了整合遥感、地理信息系统和实地评估的重要性,以加强减轻侵蚀危害,并为未来关于河岸不稳定的社会环境后果的研究提供信息。
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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
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