干旱区生态环境知识资源中心(Arid): Forecasting of groundwater level fluctuations using a hybrid of multi-discrete wavelet transforms with artificial intelligence models

Arid

DOI	10.2166/nh.2022.035
	Forecasting of groundwater level fluctuations using a hybrid of multi-discrete wavelet transforms with artificial intelligence models
	Momeneh, Sadegh; Nourani, Vahid
通讯作者	Momeneh, S
来源期刊	HYDROLOGY RESEARCH
ISSN	1998-9563
EISSN	2224-7955
出版年	2022
卷号	53 期号:6 页码:914-944
英文摘要	Groundwater is often one of the significant natural sources of freshwater supply, especially in arid and semi-arid regions, and is of paramount importance. This study provides a new and high accurate technique for forecasting groundwater level (GWL). The artificial intelligence (AI) models include the artificial neural network (ANN) of multi-layer perceptron (MLP) and radial basis function network (RBF), and adaptive neural-fuzzy inference system (ANFIS) models. Input data to the models is the monthly average GWL of 17 piezometers. In this study, a preprocessing of data including the discrete wavelet transform (DWT) and multi-discrete wavelet transform (M-DWT) simultaneously was utilized. The results showed that the hybrid M-DWT-ANN, M-DWT-RBF, and M-DWT-ANFIS models compared to the DWT-ANN, DWT-RBF, and DWT-ANFIS models as well as than regular ANN, RBF, and ANFIS models, had the highest accuracy in forecasting GWL for the 1-, 2-, 3-, and 6-months ahead. Also, the M-DVVT-ANN model had the best performance. Overall, the results illustrated that using the M-DWT method as preprocessing of input data can be a valuable tool to increase the predictive model's accuracy and efficiency. The results of this study indicate the potential of M-DWT-Al hybrid models to improve GWL forecasting.
英文关键词	artificial intelligence artificial neural network discrete wavelet transform groundwater level time-series forecasting
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000811493200001
WOS关键词	SUPPORT VECTOR MACHINES ; NEURO-FUZZY MODELS ; SHORT-TERM ; NETWORK ; PREDICTION ; FLOW ; ANFIS ; ANN ; CONJUNCTION ; SIMULATION
WOS类目	Water Resources
WOS研究方向	Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393065
推荐引用方式 GB/T 7714	Momeneh, Sadegh,Nourani, Vahid. Forecasting of groundwater level fluctuations using a hybrid of multi-discrete wavelet transforms with artificial intelligence models[J],2022,53(6):914-944.
APA	Momeneh, Sadegh,&Nourani, Vahid.(2022).Forecasting of groundwater level fluctuations using a hybrid of multi-discrete wavelet transforms with artificial intelligence models.HYDROLOGY RESEARCH,53(6),914-944.
MLA	Momeneh, Sadegh,et al."Forecasting of groundwater level fluctuations using a hybrid of multi-discrete wavelet transforms with artificial intelligence models".HYDROLOGY RESEARCH 53.6(2022):914-944.