干旱区生态环境知识资源中心(Arid): Novel Modelling Approach to Assess Elements Contamination in Drinking Water from Southern Iran

Arid

DOI	10.1007/s12403-023-00584-7
	Novel Modelling Approach to Assess Elements Contamination in Drinking Water from Southern Iran
	Mohammadpour, Amin; Motamed-Jahromi, Mohadeseh; Moreno-Jimenez, Eduardo; Golaki, Mohammad; Berizi, Enayat
通讯作者	Golaki, M
来源期刊	EXPOSURE AND HEALTH
ISSN	2451-9766
EISSN	2451-9685
出版年	2024
卷号	16 期号:3 页码:661-678
英文摘要	Assessment of water quality and potential health risks through probabilistic approaches is fundamental in determining the uses of water and prevent health problems. This study aimed to investigate the presence of toxic/non-toxic elements, evaluate water quality and assess health risks in a arid region in Iran. Eighteen elements were detected in the drinking water and followed the order of concentration Na > Ca > Mg > Sr > K > Si > Fe > Li > Al > P > Zn > Mo > Cr > Ba > Se > V > Nb > As, with Mg most frequently exceeding the regulatory limits. Based on deterministic and probabilistic approaches, the water quality index (WQI) showed that 4.3% of the areas had unsuitable conditions (most influential parameter is Li), while the heavy metal evaluation index (HEI) was in mild classification. The geochemical origin of elements was studied. Li being predominantly correlated with Fe and Mg and a suitable model of Li occurrence was predicted using artificial neural network. The hazard quotient for all elements, except for Li, was less than 1, and cancer risk for Cr was less than 10(-4). The hazard index for children, teens and adults was 3.4, 2.5 and 2.1, respectively, while it was only 0.38, 0.28, 0.23 in the blank water sample. The results of Sobol's sensitivity analysis showed that Li and Cr concentration in waters and interaction with body weight had the greatest effect on non-carcinogenic and carcinogenic rates. [GRAPHICS] .
英文关键词	Toxic elements PMF Monte Carlo simulation Sobol S sensitivity Artificial neural network WQI
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001023394900002
WOS关键词	ARTIFICIAL NEURAL-NETWORK ; HEALTH-RISK ASSESSMENT ; HEAVY-METALS ; SURFACE-WATER ; NITRATE POLLUTION ; GROUNDWATER ; QUALITY ; LITHIUM ; AREA ; DISTRIBUTIONS
WOS类目	Water Resources
WOS研究方向	Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403714
推荐引用方式 GB/T 7714	Mohammadpour, Amin,Motamed-Jahromi, Mohadeseh,Moreno-Jimenez, Eduardo,et al. Novel Modelling Approach to Assess Elements Contamination in Drinking Water from Southern Iran[J],2024,16(3):661-678.
APA	Mohammadpour, Amin,Motamed-Jahromi, Mohadeseh,Moreno-Jimenez, Eduardo,Golaki, Mohammad,&Berizi, Enayat.(2024).Novel Modelling Approach to Assess Elements Contamination in Drinking Water from Southern Iran.EXPOSURE AND HEALTH,16(3),661-678.
MLA	Mohammadpour, Amin,et al."Novel Modelling Approach to Assess Elements Contamination in Drinking Water from Southern Iran".EXPOSURE AND HEALTH 16.3(2024):661-678.