应用多准则模型研究地下水氟化物污染暴露的社区脆弱性

IF 9.1 Q2 ENGINEERING, ENVIRONMENTAL Journal of hazardous materials advances Pub Date : 2025-02-01 Epub Date: 2024-11-26 DOI:10.1016/j.hazadv.2024.100555
Kousik Das , Harish Puppala , Ghanshyam Pandey , Mijanur Mondal , Pankaj Pathak , Uttiya Dey , Sudeshna Chell , Sumana Dutta , Pankaj Kumar
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引用次数: 0

摘要

地下水中氟化物(F -毒血症)水平升高,主要是由于地质作用造成的,造成严重的健康风险,包括牙齿和骨骼氟中毒以及神经系统疾病。这项研究旨在量化在印度安得拉邦选定的热带干旱地区社区水平上依赖来源的F -毒血症暴露。这些地点包括Chintal Cheruvu、Rompicharala、Shantamangalur、thimapur和Nadendla。在这些地区进行了社区调查和饮用水样本分析。氟斑牙指数(DFI)用于估计不同年龄和性别群体的暴露水平。调查结果表明,高F -毒血症(4.3 mg/L)的地下水消耗导致最高的暴露剂量(0.62 mg/kg/天),Chintal Cheruvu被确定为受影响最大的地区。暴露剂量、水F -毒血症与社区氟中毒指数(CFI)之间存在很强的正相关关系,r2值分别为0.98和0.97。氟斑牙在所有年龄组的患病率超过80%,家庭调查显示100%没有意识到氟毒血症暴露的风险。虽然有许多方法可以确定氟化物的影响,但区域的层次结构可能会随着所选择参数的类型而变化。为了解决这个问题,我们开发了氟化物影响指数(FII),这是一个多标准指数,考虑了表明氟化物在一个地区的影响的各种参数。Chintal Cheruvu的FII大小为0.563,在考虑的区域中最高,表明它是受影响最严重的区域,在层次中首先需要采取补救措施。依次为Rompicharala(0.252)、Nadendla(0.223)、Shantamangalur(0.214)和thimapur(0.188)。这些发现强调了迫切需要提高对F -暴露风险的认识,并确定可持续的替代水源。立即采取干预措施,包括使用美国环保署方法进行人类健康风险评估和提供安全饮用水,对于实现到2030年人人享有安全饮用水的可持续发展目标6至关重要。
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Community level vulnerability of groundwater fluoride contamination and exposure by the application of multi-criteria model
Elevated fluoride (F⁻) levels in groundwater, primarily due to geogenic processes, pose significant health risks, including dental and skeletal fluorosis and neurological disorders. This study aimed to quantify source-dependent F⁻ exposure at the community level in selected tropical dry regions of Andhra Pradesh, India. These locations include Chintal Cheruvu, Rompicharala, Shantamangalur, Thimmapur, and Nadendla. Community surveys and drinking water sample analyses were conducted in these regions. Dental Fluorosis Index (DFI) was used to estimate exposure levels across age and sex groups. Findings of surveys indicate that groundwater consumption with high F⁻ (4.3 mg/L) results in the highest exposure dose (0.62 mg/kg/day), with Chintal Cheruvu identified as the most affected. A strong positive correlation was observed between exposure dose, water F⁻ content, and the Community Fluorosis Index (CFI), with R² values of 0.98 and 0.97, respectively. Dental fluorosis prevalence exceeded 80% across all age groups, and household surveys revealed 100% unawareness of F⁻ exposure risks. Though there exist many ways to determine the impact of fluoride, the hierarchy of regions may change with the type of parameter chosen. To address this, we developed the Fluoride Impact Index (FII), a multi-criteria index computed considering various parameters indicating the impact of fluoride in a region. The magnitude of FII for Chintal Cheruvu is 0.563 which is highest among the considered regions indicating that it is most impacted region that needs remedial measures first in the hierarchy. Rompicharala with FII as 0.252, Nadendla (0.223), Shantamangalur (0.214), and Thimmapur (0.188) follows the hierarchy. These findings highlight the urgent need to raise awareness about F⁻ exposure risks and to identify sustainable alternative water sources. Immediate interventions, including human health risk assessments using the USEPA approach and the provision of safe drinking water, are critical to achieving SDG-6 of safe drinking water for all by 2030.
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来源期刊
Journal of hazardous materials advances
Journal of hazardous materials advances Environmental Engineering
CiteScore
4.80
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0.00%
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50 days
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