Spatial land degradation vulnerability assessment in a plateau fringe river basin of Jharkhand, India

IF 3 4区环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES

Environmental Monitoring and Assessment Pub Date : 2025-01-07 DOI:10.1007/s10661-024-13529-7

Tusar Kanti Hembram, Sunil Saha

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Abstract

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.

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印度贾坎德邦高原边缘河流域土地退化空间脆弱性评价

本研究结合环境、社会经济和土壤健康参数，评估了印度东部贾坎德邦Jainti河流域土地退化的脆弱性。利用模糊层次分析法（AHP），将模糊变换和隶属函数应用于目标土地退化。层次分析法根据各参数与土地退化的相关性确定各参数的相对权重。通过加权参数的线性组合，绘制了环境（ELDV）、社会经济（SELDV）和土壤健康（SHLDV）土地退化脆弱性地图。最终的综合土地退化脆弱性（LDV）图将流域划分为5类。结果表明：15.09%和16.26%的ELDV为高度和非常高度脆弱区，16.93%和12.68%的SELDV为高度和非常高度脆弱区。SHLDV将13.42%和18.13%划分为高度和非常高度脆弱。总体而言，LDV地图显示，16.75%的流域高度脆弱，14.58%的流域高度脆弱。这些见解可能支持利益相关者对退化问题的有效响应。

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来源期刊

Environmental Monitoring and Assessment 环境科学-环境科学

CiteScore

4.70

自引率

6.70%

发文量

1000

审稿时长

7.3 months

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.