Scholarlink

<p>Coal mining activities exacerbate water contamination and scarcity in the vicinity of the respective region. In this study, a regional water poverty index (WPI) model was developed to assess the water stress situation of Dhanbad Municipal Corporation (DMC). The groundwater quality of DMC was assessed by collecting samples from 17 spatially distributed GIS-based locations. The cationic and anionic chemistry of groundwater showed the dominancy calcium (Ca<sup>2+</sup>) followed by magnesium (Mg<sup>2+</sup>) &gt; sodium (Na<sup>+</sup>) &gt; potassium (K<sup>+</sup>), and sulphate (SO<sub>4</sub><sup>2−</sup>) followed by chloride (Cl<sup>−</sup>) &gt; nitrate (NO<sub>3</sub>-) &gt; fluoride (F<sup>−</sup>), respectively. Furthermore, the spatial distribution of heavy metals and hydrogeochemical facies was investigated using ArcGIS 10.3 (MAP) and Origin (version 3.7) analytical tools. The concentration of Fe in groundwater of DMC varied from 216 to 2699&#xa0;µg/L, surpassing BIS’s guideline value (300&#xa0;µg/L). The estimated non-carcinogenic risks based on hazard index (HI) value were found to be higher in children (1.07E-01 to 5.55E-01) than in adults (1.04E-01 to 2.24E-01). The result of the present study is important for designing remediation scenarios for water scarcity and contamination in mining regions.</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

Development and assessment of a regional water poverty index (WPI) model for Dhanbad Municipal Corporation (DMC), Eastern India

  • 期刊论文

  • 发表日期：

    2025年6月18日

查看全文
  • Jaydev Kumar Mahato,
  • Suraj Kumar,
  • Brahmdeo Yadav,
  • Shivam Saw,
  • Nitin Kumar

摘要

Coal mining activities exacerbate water contamination and scarcity in the vicinity of the respective region. In this study, a regional water poverty index (WPI) model was developed to assess the water stress situation of Dhanbad Municipal Corporation (DMC). The groundwater quality of DMC was assessed by collecting samples from 17 spatially distributed GIS-based locations. The cationic and anionic chemistry of groundwater showed the dominancy calcium (Ca2+) followed by magnesium (Mg2+) > sodium (Na+) > potassium (K+), and sulphate (SO42−) followed by chloride (Cl−) > nitrate (NO3-) > fluoride (F−), respectively. Furthermore, the spatial distribution of heavy metals and hydrogeochemical facies was investigated using ArcGIS 10.3 (MAP) and Origin (version 3.7) analytical tools. The concentration of Fe in groundwater of DMC varied from 216 to 2699 µg/L, surpassing BIS’s guideline value (300 µg/L). The estimated non-carcinogenic risks based on hazard index (HI) value were found to be higher in children (1.07E-01 to 5.55E-01) than in adults (1.04E-01 to 2.24E-01). The result of the present study is important for designing remediation scenarios for water scarcity and contamination in mining regions.