Entropy Spectral Analyses for Groundwater Forecasting

doi:10.1061/(ASCE)HE.1943-5584.0001512

	Entropy Spectral Analyses for Groundwater Forecasting
	Cui, Huijaun 1; Singh, Vijay P.2
刊名	JOURNAL OF HYDROLOGIC ENGINEERING
	2017-07-01
卷号	22 期号:7 页码:8
关键词	Entropy theory Spectral analysis Burg entropy Relative entropy Configurational entropy Groundwater level
ISSN号	1084-0699
DOI	10.1061/(ASCE)HE.1943-5584.0001512
通讯作者	Cui, Huijaun(cuihj@igsnrr.ac.cn)
英文摘要	Forecasting of monthly and annual groundwater levels is important for water resources management, irrigation, and assessment of climate change. This study employs entropy spectral analysis for forecasting monthly groundwater levels. For spectral analysis, the domain of consideration for defining entropy is the frequency domain, in which three types of entropies are known: Burg entropy, configurational entropy, and relative entropy. These entropies lead to three types of spectral analysis: (1)Burg entropy spectral analysis (BESA), (2)configurational entropy spectral analysis (CESA), and (3)relative entropy spectral analysis (RESA). BESA, CESA, and RESA are employed to analyze spectra and forecast monthly groundwater levels, and then they are compared to determine which spectral analysis method better forecasts the monthly groundwater level. Monthly and annual groundwater data were obtained from South Carolina to verify the three methods. Both monthly and annual groundwater level data showed significant decreasing trends at almost all stations. It was found that relative entropy yielded the highest resolution in determining the spectral density, while for simulating groundwater levels, all three methods fitted the observed values well. This was indicated by the average value of Nash-Sutcliffe efficiency (NSE) for BESA, CESA, and RESA being 0.69, 0.70, and 0.70, respectively.
资助项目	Key Research Program of the Chinese Academy of Sciences[ZDRW-ZS-2016-6-4]
WOS关键词	MINIMUM RELATIVE ENTROPY ; STATISTICAL-MECHANICS ; INFORMATION-THEORY ; UNIVARIATE MODEL ; GAZA-STRIP ; HYDROLOGY ; INVERSION ; REDESIGN
WOS研究方向	Engineering ; Environmental Sciences & Ecology ; Water Resources
语种	英语
出版者	ASCE-AMER SOC CIVIL ENGINEERS
WOS记录号	WOS:000399912900008
资助机构	Key Research Program of the Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/62589]
专题	中国科学院地理科学与资源研究所
通讯作者	Cui, Huijaun
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, 11A Datun Rd, Beijing 100101, Peoples R China 2.Texas A&M Univ, Dept Biol & Agr Engn, Zachry Dept Civil Engn, Water Engn, 321 Scoates Hall, College Stn, TX 77843 USA
推荐引用方式 GB/T 7714	Cui, Huijaun,Singh, Vijay P.. Entropy Spectral Analyses for Groundwater Forecasting[J]. JOURNAL OF HYDROLOGIC ENGINEERING,2017,22(7):8.
APA	Cui, Huijaun,&Singh, Vijay P..(2017).Entropy Spectral Analyses for Groundwater Forecasting.JOURNAL OF HYDROLOGIC ENGINEERING,22(7),8.
MLA	Cui, Huijaun,et al."Entropy Spectral Analyses for Groundwater Forecasting".JOURNAL OF HYDROLOGIC ENGINEERING 22.7(2017):8.