干旱区生态环境知识资源中心(Arid): Estimating of aqueduct water withdrawal via a wavelet-hybrid soft-computing approach under uniform and non-uniform climatic conditions

Arid

DOI	10.1007/s10668-022-02265-y
	Estimating of aqueduct water withdrawal via a wavelet-hybrid soft-computing approach under uniform and non-uniform climatic conditions
	Zamanzad-Ghavidel, Sarvin; Fazeli, Sina; Mozaffari, Sevda; Sobhani, Reza; Hazi, Mohammad Azamathulla; Emadi, Alireza
通讯作者	Zamanzad-Ghavidel, S
来源期刊	ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
ISSN	1387-585X
EISSN	1573-2975
出版年	2023
卷号	25 期号:6 页码:5283-5314
英文摘要	Due to climate change and the decrease of surface water resources recently, groundwater resources, especially aqueducts, have special importance to meet various human requirements in arid and semi-arid regions. With the aim of aqueduct water withdrawal (AWW) estimating for agricultural uses, the present research was implemented, in Golpayegan and Kashan regions of Iran; classified in non-uniform and uniform climate zones with water scarcity situation. The AWW variables were estimated based on four scenarios including (1) aqueduct local features, (2) hydrological, (3) land-use, and (4) combined scenarios. The [(Mother-well Depth (MWD), Aqueduct Channel Length (ACL)), (minimum flow rate (Q(Min)), maximum flow rate (Q(Max))), and (Cultivated Area (CA), Orchard Area (OA))] variables reagent the first to third scenarios, respectively. Estimation of AWW was operated via single and Wavelet-hybrid (W-hybrid with de-noising) Soft-computing (SC) approaches, including artificial neural networks (ANNs), Wavelet-ANN (WANNs), adaptive neuro-fuzzy inference system (ANFIS), Wavelet-ANFIS (WANFIS), gene expression programming (GEP), and Wavelet-GEP (WGEP). The WGEP model's efficiency with the hybrid characteristics of MWD, ACL, Q(Min), Q(Max), CA, and OA variables was recommended as the best model to estimate AWW variables without climate conditions' effects. With increasing levels of decomposition in wavelet approach and noise reduction, the performance of the models for estimating AWW increased. Also, the findings revealed that the implementation of the proposed method in uniform climates can have a higher performance than non-uniform climates. The achieved values of RMSE for the combined factor of WGEP models were 23.249 and 17.227 (x10(3) m(3)), for estimating AWW in Golpayegan and Kashan, respectively. The performance of WGEP was excellent (R > 0.920) in the estimation of AWW in both climatic types for maximum extreme amounts. Abstracting mathematical formulation of GEP and WGEP models is part of the research finding profound effects implementing policies related to Integrated Water Resources Management to protect the aqueduct's destruction by excessive consumption.
英文关键词	Aqueduct water withdrawal Climatic condition Hydrologic Land-use Soft-computing method
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000774633300002
WOS关键词	GROUNDWATER LEVEL FLUCTUATIONS ; NEURAL-NETWORKS ; SIMULATION ; MODELS ; PREDICTION ; QUALITY ; ANFIS
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/2XILL650/396085
推荐引用方式 GB/T 7714	Zamanzad-Ghavidel, Sarvin,Fazeli, Sina,Mozaffari, Sevda,et al. Estimating of aqueduct water withdrawal via a wavelet-hybrid soft-computing approach under uniform and non-uniform climatic conditions[J],2023,25(6):5283-5314.
APA	Zamanzad-Ghavidel, Sarvin,Fazeli, Sina,Mozaffari, Sevda,Sobhani, Reza,Hazi, Mohammad Azamathulla,&Emadi, Alireza.(2023).Estimating of aqueduct water withdrawal via a wavelet-hybrid soft-computing approach under uniform and non-uniform climatic conditions.ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY,25(6),5283-5314.
MLA	Zamanzad-Ghavidel, Sarvin,et al."Estimating of aqueduct water withdrawal via a wavelet-hybrid soft-computing approach under uniform and non-uniform climatic conditions".ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY 25.6(2023):5283-5314.