干旱区生态环境知识资源中心(Arid): Z-number based assessment of groundwater vulnerability to seawater intrusion

Arid

DOI	10.1016/j.jhydrol.2024.130859
	Z-number based assessment of groundwater vulnerability to seawater intrusion
	Nourani, Vahid; Najafi, Hessam; Maleki, Sana; Paknezad, Nardin Jabbarian; Huang, Jinhui Jeanne; Zhang, Pengwei; Mohammadisepasi, Sepideh
通讯作者	Nourani, V
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2024
卷号	632
英文摘要	Groundwater (GW) quality assessment is an essential issue, especially in arid and semi-arid regions, due to its critical role in obtaining requirements for freshwater. The GALDIT method is widely recognized as a practical approach for assessing GW susceptibility, which considers six key factors, including the occurrence of groundwater (G), hydraulic conductivity of the aquifer (A), elevation of groundwater above sea level (L), distance from the shoreline (D), impact of existing seawater intrusion (I), and thickness of the aquifer (T). The GALDIT method, being an unsupervised model, has a drawback in that it depends on expert opinion for parameter ranking, leading to an increase in uncertainty. To address this uncertainty and evaluate the susceptibility of the aquifers of Urmia lake basin to saltwater intrusion, this study employed the Z-number which is a novel adaptation of Fuzzy Logic (FL). In contrast to classic FL that does not account for data reliability, the Z-number approach considers both constraints and data reliability, making it a more effective method to manage data uncertainty compared to classic fuzzy models. To illustrate this methodology, the GALDIT parameters (inputs) and Electrical Conductivity (EC) values (outputs) were employed to determine the vulnerability of aquifers. Additionally, the GALDIT method was utilized as a benchmark model to evaluate the inherent vulnerability of aquifers, and its outcomes were compared with those of the proposed model. Upon analyzing the results, it was found that the Z-number Based Modeling (ZBM) not only outperformed the GALDIT method but also enhanced the quality of outcomes by 85% and 35% based on Heidke Skill Score (HSS) and Total Accuracy (TA) criteria compared to the classic FL.
英文关键词	Groundwater Saltwater intrusion vulnerability GALDIT Data mining Fuzzy Logic Urmia Lake
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001198938800001
WOS关键词	COASTAL AQUIFER ; URMIA LAKE ; FUZZY ; SYSTEMS ; MODELS
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404562
推荐引用方式 GB/T 7714	Nourani, Vahid,Najafi, Hessam,Maleki, Sana,et al. Z-number based assessment of groundwater vulnerability to seawater intrusion[J],2024,632.
APA	Nourani, Vahid.,Najafi, Hessam.,Maleki, Sana.,Paknezad, Nardin Jabbarian.,Huang, Jinhui Jeanne.,...&Mohammadisepasi, Sepideh.(2024).Z-number based assessment of groundwater vulnerability to seawater intrusion.JOURNAL OF HYDROLOGY,632.
MLA	Nourani, Vahid,et al."Z-number based assessment of groundwater vulnerability to seawater intrusion".JOURNAL OF HYDROLOGY 632(2024).