Health risk assessment of heavy metals in groundwater sources: carcinogenic and non-carcinogenic evaluation

被引:0
|
作者
Kapoor, Kshipra [1 ]
Kumar, Shakti [1 ]
Vishwakarma, Dinesh Kumar [2 ]
Obaidullah, Ahmad J. [3 ]
Yadav, Krishna Kumar [4 ,5 ]
机构
[1] Punjab Engn Coll Deemed Univ, Civil Engn Dept, Chandigarh 160012, India
[2] Govind Ballabh Pant Univ Agr & Technol, Dept Irrigat & Drainage Engn, Pantnagar 263145, India
[3] King Saud Univ, Coll Pharm, Dept Pharmaceut Chem, POB 2457, Riyadh 11451, Saudi Arabia
[4] Parul Univ, Parul Inst Appl Sci, Dept Environm Sci, Vadodara 391760, Gujarat, India
[5] Al Ayen Univ, Sci Res Ctr, Environm & Atmospher Sci Res Grp, Nasiriyah 64001, Thi Qar, Nasiriyah, Iraq
关键词
cancer risk; groundwater quality; hazard quotient; heavy metals; multivariate analysis; spatial distribution; water contamination; MULTIVARIATE STATISTICAL TECHNIQUES; QUALITY ASSESSMENT; POLLUTION; CONTAMINATION; PUNJAB; INDIA; SOIL;
D O I
10.2166/wh.2024.243
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Persistent exposure to arsenic, chromium, cadmium, lead, and selenium in drinking water above permissible levels poses significant health risks, including increased incidences of skin, lung, bladder, and kidney cancers. This study evaluated 34 water samples from Rupnagar district, Punjab, for heavy metal content. Health risks were assessed using hazard quotient (HQ) and chronic daily intake metrics. Aluminium concentrations were highest in Block Nurpur Bedi (36.43 mg/L). Arsenic levels in Ropar and Anandpur Sahib were 0.09 and 0.068 mg/L, respectively. Cadmium was highest in Nurpur Bedi (0.041 mg/L). Morinda had the highest selenium concentration (0.0038 mg/L). Lead was detected across all blocks, peaking in Chamkaur Sahib (2.176 mg/L). The HQ exceeded unity in nearly all areas, indicating significant health risks from aluminium, arsenic, and lead. The hazard index was highest in Nurpur Bedi (2.66) for adults. Incremental Life Cancer Risk (ILCR) values indicated a high cancer risk from arsenic, chromium, and lead across all blocks. One-way analysis of variance revealed significant differences among Fe, As, and Al concentrations (p < 0.05). The findings underscore the need for targeted treatment technologies and policies to mitigate heavy metal contamination and its health impacts in Punjab.
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页数:15
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