Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s10668-021-01361-9 |
Application of artificial intelligence in groundwater ecosystem protection: a case study of Semnan/Sorkheh plain, Iran | |
Khoshand, Afshin | |
通讯作者 | Khoshand, A (corresponding author), KN Toosi Univ Technol, Fac Civil Engn, 1346 Vali Asr Str, Tehran, Iran. |
来源期刊 | ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
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ISSN | 1387-585X |
EISSN | 1573-2975 |
出版年 | 2021 |
英文摘要 | Groundwater ecosystems have unparalleled environmental value. Accurate modeling of groundwater level (GWL) fluctuations is a vital requirement for the protection of the groundwater ecosystems. The GWL modeling is a challenge due to complexities of the underground geological structure. Among the various modeling methods, artificial intelligence (AI)-based approaches serve as desirable alternatives due to their distinctive and potent properties. One of the most practical AI-based approaches is an artificial neural network (ANN) model. The purpose of the current study was to apply time delay neural networks (TDNN) with different network structures and input delays to model the GWL fluctuations. The variables used in the construction and validation of the models were average weekly GWL from January 2002 to January 2013 in two monitoring sites in Semnan/Sorkheh plain, Iran. The study area is an arid region, where overutilization of groundwater threatens the water security in this area. The computational results of the current research demonstrated that the TDNN model is a practical tool in modeling time-series GWL compared to the other state-of-the-art AI-based approaches. Future studies are recommended to explore application of proposed model for more sustainable and effective Groundwater Resources Management (GWRM). |
英文关键词 | Groundwater level (GWL) Forecasting Modeling Time delay neural networks (TDNN) |
类型 | Article ; Early Access |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000636410600003 |
WOS类目 | Green & Sustainable Science & Technology ; Environmental Sciences |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/352140 |
作者单位 | [Khoshand, Afshin] KN Toosi Univ Technol, Fac Civil Engn, 1346 Vali Asr Str, Tehran, Iran |
推荐引用方式 GB/T 7714 | Khoshand, Afshin. Application of artificial intelligence in groundwater ecosystem protection: a case study of Semnan/Sorkheh plain, Iran[J],2021. |
APA | Khoshand, Afshin.(2021).Application of artificial intelligence in groundwater ecosystem protection: a case study of Semnan/Sorkheh plain, Iran.ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY. |
MLA | Khoshand, Afshin."Application of artificial intelligence in groundwater ecosystem protection: a case study of Semnan/Sorkheh plain, Iran".ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2021). |
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