Climate Change Data Portal
DOI | 10.1007/s10661-019-7784-6 |
Potential impacts of climate change on groundwater level through hybrid soft-computing methods: a case study-Shabestar Plain, Iran | |
Jeihouni, Esmaeil; Mohammadi, Mirali; Eslamian, Saeid; Zareian, Mohammad Javad | |
发表日期 | 2019-10-01 |
ISSN | 0167-6369 |
EISSN | 1573-2959 |
卷号 | 191期号:10 |
英文摘要 | Groundwater aquifers have always been confronted with significant challenges around the world such as climate change, over-extraction, pollution by wastewaters, and saltwater intrusion in coastal areas. Prediction of groundwater level under the effects of |
关键词 | Groundwater levelClimate changeArtificial intelligenceSoft-computingAquifer drawdownShabestar Plain |
学科领域 | Environmental Sciences |
语种 | 英语 |
WOS记录号 | WOS:000484972800001 |
来源期刊 | ENVIRONMENTAL MONITORING AND ASSESSMENT |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/81060 |
作者单位 | Urmia Univ, Fac Engn, Dept Civil Engn, POB 165, Orumiyeh, Iran |
推荐引用方式 GB/T 7714 | Jeihouni, Esmaeil,Mohammadi, Mirali,Eslamian, Saeid,et al. Potential impacts of climate change on groundwater level through hybrid soft-computing methods: a case study-Shabestar Plain, Iran[J],2019,191(10). |
APA | Jeihouni, Esmaeil,Mohammadi, Mirali,Eslamian, Saeid,&Zareian, Mohammad Javad.(2019).Potential impacts of climate change on groundwater level through hybrid soft-computing methods: a case study-Shabestar Plain, Iran.ENVIRONMENTAL MONITORING AND ASSESSMENT,191(10). |
MLA | Jeihouni, Esmaeil,et al."Potential impacts of climate change on groundwater level through hybrid soft-computing methods: a case study-Shabestar Plain, Iran".ENVIRONMENTAL MONITORING AND ASSESSMENT 191.10(2019). |
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