{"title":"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","authors":"Supriya Ghosh, Sudipa Sarkar, Biswajit Bera","doi":"10.1080/02723646.2023.2261180","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":54618,"journal":{"name":"Physical Geography","volume":"57 1","pages":"0"},"PeriodicalIF":1.1000,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Field based inventory of river bank erosion susceptibility model (BESI) of Raidak-II river in the Himalayan foreland basin\",\"authors\":\"Supriya Ghosh, Sudipa Sarkar, Biswajit Bera\",\"doi\":\"10.1080/02723646.2023.2261180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":54618,\"journal\":{\"name\":\"Physical Geography\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physical Geography\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/02723646.2023.2261180\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Geography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02723646.2023.2261180","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
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.
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.