Knowledge Resource Center for Ecological Environment in Arid Area
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
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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). |
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