气候变化领域集成服务门户(CCPortal): Wavelet analysis-artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China

CCPortal

DOI	10.2166/nh.2016.396
	Wavelet analysis-artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China
	Wen, Xiaohu; Feng, Qi; Deo, Ravinesh C.; Wu, Min; Si, Jianhua
发表日期	2017
ISSN	1998-9563
EISSN	2224-7955
卷号	48 期号:6
英文摘要	In this study, the ability of a wavelet analysis-artificial neural network (WA-ANN) conjunction model for multi-scale monthly groundwater level forecasting was evaluated in an arid inland river basin, northwestern China. The WA-ANN models were obtained by combining discrete wavelet transformation with ANN. For WA-ANN model, three different input combinations were trialed in order to optimize the model performance: (1) ancient groundwater level only, (2) ancient climatic data, and (3) ancient groundwater level combined with climatic data to forecast the groundwater level for two wells in Zhangye basin. Based on the key statistical measures, the performance of the WA-ANN model was significantly better than ANN model. However, WA-ANN model with ancient groundwater level as its input yielded the best performance for 1-month groundwater forecasts. For 2- and 3-monthly forecasts, the performance of the WA-ANN model with integrated ancient groundwater level and climatic data as inputs was the most superior. Notwithstanding this, the WA-ANN model with only ancient climatic data as its inputs also exhibited accurate results for 1-, 2-, and 3-month groundwater forecasting. It is ascertained that the WA-ANN model is a useful tool for simulation of multi-scale groundwater forecasting in the current study region.
关键词	arid environment artificial neural network discrete wavelet transforms forecasting groundwater level
学科领域	Water Resources
语种	英语
WOS研究方向	Water Resources
来源期刊	HYDROLOGY RESEARCH
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/111912
作者单位	Chinese Acad Sci, Key Lab Ecohydrol Inland River Basin, Donggang West Rd 320, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Wen, Xiaohu,Feng, Qi,Deo, Ravinesh C.,et al. Wavelet analysis-artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China[J]. 中国科学院西北生态环境资源研究院,2017,48(6).
APA	Wen, Xiaohu,Feng, Qi,Deo, Ravinesh C.,Wu, Min,&Si, Jianhua.(2017).Wavelet analysis-artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China.HYDROLOGY RESEARCH,48(6).
MLA	Wen, Xiaohu,et al."Wavelet analysis-artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China".HYDROLOGY RESEARCH 48.6(2017).