Scholarlink

<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&#xa0;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%&#xa0;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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

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

  • 期刊论文

  • 发表日期：

    2025年1月7日

查看全文
  • Tusar Kanti Hembram,
  • Sunil Saha

摘要

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.