干旱区生态环境知识资源中心(Arid): Using a soft computing OSPRC risk framework to analyze multiple contaminants from multiple sources; a case study from Khoy Plain, NW Iran

Arid

DOI	10.1016/j.chemosphere.2022.136527
	Using a soft computing OSPRC risk framework to analyze multiple contaminants from multiple sources; a case study from Khoy Plain, NW Iran
	Nadiri, Ata Allah; Aghdam, Fariba Sadeghi; Razzagh, Siamak; Barzegar, Rahim; Jabraili-Andaryan, Nasser; Senapathi, Venkatramanan
通讯作者	Nadiri, AA
来源期刊	CHEMOSPHERE
ISSN	0045-6535
EISSN	1879-1298
出版年	2022
卷号	308
英文摘要	Water shortage in arid and semi-arid areas like Iran makes groundwater contamination a crucial issue. In the Khoy aquifer, NW Iran, contaminants (e.g., arsenic (As), nitrate (NO3-), lead (Pb), and zinc (Zn)) may originate from both geological and anthropogenic sources. The objectives of the study are to (1) employ soft modeling framework to abstract available hydrogeochemical information into a perceptual model and (2) build a conceptual model using the risk cells (RCs) by applying the following two steps: (i) study Origin-Source-PathwaysReceptor-Consequence (OSPRC) as a risk system; and (ii) apply soft modeling as a set of diverse and classical tools including graphical representations, geological surveys, and multivariate statistical analysis to validate the information by evaluating their convergence or divergence behaviors among different tools used for investigating the groundwater contaminants. According to the perceptual model, the Khoy aquifer contains four RCs. RC4 (southern of plain) and RC2 (northern of the plain) contain high levels of As, while RC2 contains high amounts of Zn. In RC1 (northern of plain) and RC3 (middle of plain), a high concentration of Pb is detected, while in RC3 and RC4, there is a high concentration of NO3-. It was found that a soft modeling approach can only identify the dominant hydrogeochemical processes for each RC as a descriptive model, rather than the use of quantitative models if sufficient data are available.
英文关键词	Handling editor Renato Somma Multiple contaminants Groundwater risk Soft modeling Khoy plain
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000864627900005
WOS关键词	GROUNDWATER ; AQUIFERS
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392139
推荐引用方式 GB/T 7714	Nadiri, Ata Allah,Aghdam, Fariba Sadeghi,Razzagh, Siamak,et al. Using a soft computing OSPRC risk framework to analyze multiple contaminants from multiple sources; a case study from Khoy Plain, NW Iran[J],2022,308.
APA	Nadiri, Ata Allah,Aghdam, Fariba Sadeghi,Razzagh, Siamak,Barzegar, Rahim,Jabraili-Andaryan, Nasser,&Senapathi, Venkatramanan.(2022).Using a soft computing OSPRC risk framework to analyze multiple contaminants from multiple sources; a case study from Khoy Plain, NW Iran.CHEMOSPHERE,308.
MLA	Nadiri, Ata Allah,et al."Using a soft computing OSPRC risk framework to analyze multiple contaminants from multiple sources; a case study from Khoy Plain, NW Iran".CHEMOSPHERE 308(2022).