干旱区生态环境知识资源中心(Arid): Fuzzy-Based Human Health Risk Assessment for Shallow Groundwater Well Users in Arid Regions

Arid

DOI	10.3390/su152215792
	Fuzzy-Based Human Health Risk Assessment for Shallow Groundwater Well Users in Arid Regions
	Thabit, Hussein; Haider, Husnain; Ghumman, Abdul Razzaq; Alattyih, Wael; Alodah, Abdullah; Hu, Guangji; Shafiquzzaman, Md.
通讯作者	Haider, H
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2023
卷号	15 期号:22
英文摘要	The conventional point-estimate human health risk assessment (HHRA) primarily uses average concentrations of a limited number of samples due to the high monitoring costs of heavy metals in groundwater. The results can be erroneous when concentrations significantly deviate from the average across the collected samples in an investigation region. The present research developed a hierarchical fuzzy-based HHRA (F-HHRA) framework to handle variations in limited data sets and subjectively established a broader range of risks for various exposure groups. Groundwater samples from 80 to 120 m deep in shallow wells were collected from agricultural farms along Wadi Rumah in the Qassim Region of Saudi Arabia. Laboratory testing found total dissolved solids much higher than the promulgated drinking water quality standards. As the aftertaste issue eliminated the raw water potability, the study considered dermal exposure for HHRA. The collected samples were tested for thirteen potential heavy metals (HMs), including barium (Ba), boron (B), cadmium (Cd), chromium (Cr), copper (Cu), iron (Fe), lead (Pb), lithium (Li), manganese (Mn), silver (Ag), strontium (Sr), thallium (TI), and zinc (Zn). Cu, Fe, Pb, Ag, and TI were lower than the detectable limit of the inductively coupled plasma mass spectrometry device. Concentrations of the remaining HMs in wastewater outfalls that were much less than the groundwater eradicated the impact of anthropogenic activities and affirmed natural contamination. Apart from 10% of the samples for Mn and 90% of the samples for Sr, all the other HMs remained within the desired maximum allowable concentrations. Point-estimate and fuzzy-based approaches yielded 'low' dermal non-cancer risk and cancer risk for all groups other than adults, where dermal cancer risk of Cr remained in the 'acceptable' (1 x 10-6 and 1 x 10-5) risk zone. Although dermal risk does not require controls, scenario analysis established the rationality of F-HHRA for more contaminated samples. The proposed hierarchical F-HHRA framework will facilitate the decision-makers in concerned agencies to plan risk mitigation strategies (household level and decentralized systems) for shallow well consumers in Saudi Arabia and other arid regions.
英文关键词	health risk heavy metals risk assessment environmental monitoring ground water fuzzy logic
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:001114010300001
WOS关键词	HEAVY-METALS ; WATER ; CONTAMINATION ; IMPACTS ; QUALITY ; CLIMATE ; ZINC ; AREA ; CITY
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398861
推荐引用方式 GB/T 7714	Thabit, Hussein,Haider, Husnain,Ghumman, Abdul Razzaq,et al. Fuzzy-Based Human Health Risk Assessment for Shallow Groundwater Well Users in Arid Regions[J],2023,15(22).
APA	Thabit, Hussein.,Haider, Husnain.,Ghumman, Abdul Razzaq.,Alattyih, Wael.,Alodah, Abdullah.,...&Shafiquzzaman, Md..(2023).Fuzzy-Based Human Health Risk Assessment for Shallow Groundwater Well Users in Arid Regions.SUSTAINABILITY,15(22).
MLA	Thabit, Hussein,et al."Fuzzy-Based Human Health Risk Assessment for Shallow Groundwater Well Users in Arid Regions".SUSTAINABILITY 15.22(2023).