The Applications of Soft Computing Methods for Seepage Modeling: A Review
Authors:
- Vahid Nourani,
- Nazanin Behfar,
- Dominika Anna Dąbrowska,
- Yongqiang Zhang
Abstract
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.
- Record ID
- USL36ec528b630e4997ac1c158747cd5c99
- Author
- Journal series
- Water, ISSN 2073-4441
- Issue year
- 2021
- Vol
- 13
- No
- 23
- Pages
- 1-28
- Publication size in sheets
- 1.40
- Article number
- 3384
- Keywords in English
- seepage modeling; groundwater; earthfill dam; soft computing; pre/post-processing; review
- ASJC Classification
- ; ; ;
- DOI
- DOI:10.3390/w13233384 Opening in a new tab
- Handle.net URL
- hdl.handle.net/20.500.12128/22106 Opening in a new tab
- URL
- https://www.mdpi.com/2073-4441/13/23/3384 Opening in a new tab
- Language
- eng (en) English
- License
- File
-
- File: 1
- The Applications of Soft Computing Methods for Seepage Modeling: A Review, File Dabrowska_The_applications_Water_13_23_2021.pdf / 3 MB
- Dabrowska_The_applications_Water_13_23_2021.pdf
- publication date: 12-06-2023
- The Applications of Soft Computing Methods for Seepage Modeling: A Review, File Dabrowska_The_applications_Water_13_23_2021.pdf / 3 MB
-
- Score (nominal)
- 100
- Score source
- journalList
- Score
- = 100.0, 12-06-2023, ArticleFromJournal
- Publication indicators
- Uniform Resource Identifier
- https://opus.us.edu.pl/info/article/USL36ec528b630e4997ac1c158747cd5c99/
- URN
urn:uni-kat-prod:USL36ec528b630e4997ac1c158747cd5c99
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.