喜马拉雅前陆盆地raiak - ii河河岸侵蚀敏感性模型(BESI)野外清查

IF 1.1 4区 地球科学 Q4 ENVIRONMENTAL SCIENCES Physical Geography Pub Date : 2023-09-26 DOI:10.1080/02723646.2023.2261180
Supriya Ghosh, Sudipa Sarkar, Biswajit Bera
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引用次数: 0

摘要

摘要河岸侵蚀是一种河流水文灾害,在人类侵占的河岸和洪泛平原上,有时会演变成灾害。本研究的主要目的是利用新的河岸侵蚀敏感性指数(BESI)模型,结合raiak - ii河1980-2020年的时空变化,对河流侵蚀潜在带进行探测。通过沉积岸相(SBF)分析,确定了岸滩物质的内聚性。结果表明,1990年(右岸)平均横向偏移量最大(213.20 m), 2020年(右岸)平均横向偏移量最小(77.32 m)。结果还表明,raiak - ii的右岸主要是由于第四系非粘性河岸物质分选不良造成的振荡。河岸侵蚀危害指数(BEHI)模型显示,2020年和2022年,46.15%和50%的河岸侵蚀地点落在高至极端河岸侵蚀易感性区。在BESI模型下,2020年和2022年,69.23%和77.77%的侵蚀地点被限制在高至极端侵蚀敏感区。因此,由于有三个额外的因素,BSEI模型比BEHI模型给出了更精确的结果。在喜马拉雅前陆盆地内,分选差的非粘性第四纪沉积物加速了河岸侵蚀。关键词:河岸侵蚀敏感性指数(BESI)沉积河岸相分析河岸物质黏结性河岸线移动感谢印度地质调查局和北孟加拉当地人民提供了宝贵的信息和实验室协助。披露声明作者未报告潜在的利益冲突。数据可用性声明支持本研究结果的分析数据可在本文及其补充信息文件中获得。补充资料本文的补充资料可通过https://doi.org/10.1080/02723646.2023.2261180Author contributionsB在线获取。贝拉对整个手稿进行了概念化、形式化、调查、监督、编辑和修改。高希分析、定稿并撰写初稿。S. Sarkar获取、分析、可视化数据并撰写初稿。所有作者都被仔细阅读并批准了最终的手稿。本研究没有资金支持。
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Field based inventory of river bank erosion susceptibility model (BESI) of Raidak-II river in the Himalayan foreland basin
ABSTRACTRiver bank erosion is a fluvio-hydrological hazard, and sometimes, it turns into disaster in the human-encroached river bank and flood plain. The principal objective of this study is to detect the river bank erosion potential zone using new Bank Erosion Susceptibility Index (BESI) model and spatiotemporal shifting of river Raidak-II (1980–2020). Sedimentary bank facies (SBF) analysis was conducted to identify the nature of cohesiveness of bank materials. The result showed that the maximum average lateral shifting (213.20 m) was recorded in the year 1990 (right bank), whereas the minimum average shifting (77.32 m) was measured in the year 2020 (right bank). The result also showed that the right bank of Raidak-II was mostly oscillated due to poorly sorted quaternary non-cohesive bank materials. The Bank Erosion Hazard Index (BEHI) model showed that 46.15% and 50% bank erosion sites are fallen in high-to-extreme bank erosion susceptibility zones in the years 2020 and 2022. In the case of BESI model, 69.23% and77.77% bank erosion sites are confined in high-to-extreme bank erosion susceptibility zones in the years 2020 and 2022. Therefore, BSEI model gives more precise results compared with BEHI due to three additional factors. The poorly sorted non-cohesive quaternary sediments stimulate high rate of bank erosion within Himalayan foreland basin.KEYWORDS: Bank Erosion Susceptibility Index (BESI)sedimentary bank facies analysiscohesiveness of bank materialsbank line shifting AcknowledgmentsWe thank Geological Survey of India and the local people of North Bengal for providing the valuable information and laboratory assistance.Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe analyzed data that support the findings of this study are available within the article and its supplementary information files.Supplementary materialSupplemental data for this article can be accessed online at https://doi.org/10.1080/02723646.2023.2261180Author contributionsB. Bera conceptualized, formalized, investigated, supervised, edited and modified the whole manuscript. S. Ghosh analyzed, formalized and wrote the draft manuscript. S. Sarkar acquired, analyzed, visualized data and wrote the draft manuscript. All authors are carefully read and approved the final manuscript.Additional informationFundingThere is no funding for this investigation.
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来源期刊
Physical Geography
Physical Geography 地学-地球科学综合
CiteScore
3.60
自引率
0.00%
发文量
18
审稿时长
6 months
期刊介绍: Physical Geography disseminates significant research in the environmental sciences, including research that integrates environmental processes and human activities. It publishes original papers devoted to research in climatology, geomorphology, hydrology, biogeography, soil science, human-environment interactions, and research methods in physical geography, and welcomes original contributions on topics at the intersection of two or more of these categories.
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