The Applications of Soft Computing Methods for Seepage Modeling: A Review
文献类型：期刊论文
| 作者 | Nourani, Vahid1,2; Behfar, Nazanin2; Dabrowska, Dominika3; Zhang, Yongqiang1 |
| 刊名 | WATER
 |
| 出版日期 | 2021-12-01 |
| 卷号 | 13期号:23页码:28 |
| 关键词 | seepage modeling groundwater earthfill dam soft computing pre post-processing review |
| DOI | 10.3390/w13233384 |
| 通讯作者 | Nourani, Vahid() |
| 英文摘要 | In recent times, significant research has been carried out into developing and applying soft computing techniques for modeling hydro-climatic processes such as seepage modeling. It is necessary to properly model seepage, which creates groundwater sources, to ensure adequate management of scarce water resources. On the other hand, excessive seepage can threaten the stability of earthfill dams and infrastructures. Furthermore, it could result in severe soil erosion and consequently cause environmental damage. Considering the complex and nonlinear nature of the seepage process, employing soft computing techniques, especially applying pre-post processing techniques as hybrid methods, such as wavelet analysis, could be appropriate to enhance modeling efficiency. This review paper summarizes standard soft computing techniques and reviews their seepage modeling and simulation applications in the last two decades. Accordingly, 48 research papers from 2002 to 2021 were reviewed. According to the reviewed papers, it could be understood that regardless of some limitations, soft computing techniques could simulate the seepage successfully either through groundwater or earthfill dam and hydraulic structures. Moreover, some suggestions for future research are presented. This review was conducted employing preferred reporting items for systematic reviews and meta-analyses (PRISMA) method. |
| WOS关键词 | ARTIFICIAL NEURAL-NETWORKS ; TERM-MEMORY LSTM ; GROUNDWATER LEVELS ; HYDRAULIC CONDUCTIVITY ; DAM FOUNDATION ; PREDICTION ; FLOW ; SIMULATION ; SYSTEM ; IMPACT |
| WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000734612800001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/168968]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Nourani, Vahid |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Tabriz, Ctr Excellence Hydroinformat, Fac Civil Engn, 29 Bahman Ave, Tabriz 5166616471, Iran 3.Univ Silesia Katowice, Fac Nat Sci, 60 B edzinska Str, PL-41200 Sosnowiec, Poland |
| 推荐引用方式 GB/T 7714 | Nourani, Vahid,Behfar, Nazanin,Dabrowska, Dominika,et al. The Applications of Soft Computing Methods for Seepage Modeling: A Review[J]. WATER,2021,13(23):28. |
| APA | Nourani, Vahid,Behfar, Nazanin,Dabrowska, Dominika,&Zhang, Yongqiang.(2021).The Applications of Soft Computing Methods for Seepage Modeling: A Review.WATER,13(23),28. |
| MLA | Nourani, Vahid,et al."The Applications of Soft Computing Methods for Seepage Modeling: A Review".WATER 13.23(2021):28. |
入库方式： OAI收割
来源：地理科学与资源研究所
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