{"title":"印度贾坎德邦高原边缘河流域土地退化空间脆弱性评价","authors":"Tusar Kanti Hembram, Sunil Saha","doi":"10.1007/s10661-024-13529-7","DOIUrl":null,"url":null,"abstract":"<div><p>This study assesses land degradation vulnerability in the Jainti River basin, Jharkhand, Eastern India, incorporating environmental, socio-economic, and soil health parameters. Using the fuzzy-analytical hierarchical process (AHP), fuzzy transformations and membership functions were applied to target land degradation. AHP determined the relative weight of each parameter based on parameter's relevance to land degradation. Maps were developed for environmental (ELDV), socio-economic (SELDV), and soil-health (SHLDV) land degradation vulnerability through a linear combination of weighted parameters. The final combined land degradation vulnerability (LDV) map classified the basin into five categories. Results showed that 15.09% and 16.26% of the ELDV area were highly and very highly vulnerable, with SELDV indicating 16.93% and 12.68% area as high and very high vulnerability. SHLDV classified 13.42% and 18.13% as highly and very highly vulnerable. Overall, the LDV map indicated that 16.75% of the basin was very highly vulnerable and 14.58% highly vulnerable. These insights may support effective stakeholder responses to degradation issues.\n</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 2","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial land degradation vulnerability assessment in a plateau fringe river basin of Jharkhand, India\",\"authors\":\"Tusar Kanti Hembram, Sunil Saha\",\"doi\":\"10.1007/s10661-024-13529-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study assesses land degradation vulnerability in the Jainti River basin, Jharkhand, Eastern India, incorporating environmental, socio-economic, and soil health parameters. Using the fuzzy-analytical hierarchical process (AHP), fuzzy transformations and membership functions were applied to target land degradation. AHP determined the relative weight of each parameter based on parameter's relevance to land degradation. Maps were developed for environmental (ELDV), socio-economic (SELDV), and soil-health (SHLDV) land degradation vulnerability through a linear combination of weighted parameters. The final combined land degradation vulnerability (LDV) map classified the basin into five categories. Results showed that 15.09% and 16.26% of the ELDV area were highly and very highly vulnerable, with SELDV indicating 16.93% and 12.68% area as high and very high vulnerability. SHLDV classified 13.42% and 18.13% as highly and very highly vulnerable. Overall, the LDV map indicated that 16.75% of the basin was very highly vulnerable and 14.58% highly vulnerable. These insights may support effective stakeholder responses to degradation issues.\\n</p></div>\",\"PeriodicalId\":544,\"journal\":{\"name\":\"Environmental Monitoring and Assessment\",\"volume\":\"197 2\",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-01-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Monitoring and Assessment\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10661-024-13529-7\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Monitoring and Assessment","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s10661-024-13529-7","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Spatial land degradation vulnerability assessment in a plateau fringe river basin of Jharkhand, India
This study assesses land degradation vulnerability in the Jainti River basin, Jharkhand, Eastern India, incorporating environmental, socio-economic, and soil health parameters. Using the fuzzy-analytical hierarchical process (AHP), fuzzy transformations and membership functions were applied to target land degradation. AHP determined the relative weight of each parameter based on parameter's relevance to land degradation. Maps were developed for environmental (ELDV), socio-economic (SELDV), and soil-health (SHLDV) land degradation vulnerability through a linear combination of weighted parameters. The final combined land degradation vulnerability (LDV) map classified the basin into five categories. Results showed that 15.09% and 16.26% of the ELDV area were highly and very highly vulnerable, with SELDV indicating 16.93% and 12.68% area as high and very high vulnerability. SHLDV classified 13.42% and 18.13% as highly and very highly vulnerable. Overall, the LDV map indicated that 16.75% of the basin was very highly vulnerable and 14.58% highly vulnerable. These insights may support effective stakeholder responses to degradation issues.
期刊介绍：
Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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