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Entropy Spectral Analyses for Groundwater Forecasting

文献类型：期刊论文

作者Cui, Huijaun1; Singh, Vijay P.2
刊名JOURNAL OF HYDROLOGIC ENGINEERING
出版日期2017-07-01
卷号22期号:7页码:8
ISSN号1084-0699
关键词Entropy theory Spectral analysis Burg entropy Relative entropy Configurational entropy Groundwater level
DOI10.1061/(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.
WOS关键词MINIMUM RELATIVE ENTROPY ; STATISTICAL-MECHANICS ; INFORMATION-THEORY ; UNIVARIATE MODEL ; GAZA-STRIP ; HYDROLOGY ; INVERSION ; REDESIGN
资助项目Key Research Program of the Chinese Academy of Sciences[ZDRW-ZS-2016-6-4]
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
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.

入库方式： OAI收割

来源：地理科学与资源研究所

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