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Application of the Entropy Spectral Method for Streamflow and Flood-Affected Area Forecasting in the Brahmaputra River Basin

文献类型：期刊论文

作者Wang, Xiaobo1,2,3; Wang, Shaoqiang1,2,3; Cui, Huijuan1,3
刊名ENTROPY
出版日期2019-08-01
卷号21期号:8页码:17
关键词Burg entropy configurational entropy streamflow forecasting flood-affected area microwave sensors
DOI10.3390/e21080722
通讯作者Wang, Shaoqiang(sqwang@igsnrr.ac.cn) ; Cui, Huijuan(cuihj@igsnrr.ac.cn)
英文摘要Reliable streamflow and flood-affected area forecasting is vital for flood control and risk assessment in the Brahmaputra River basin. Based on the satellite remote sensing from four observation sites and ground observation at the Bahadurabad station, the Burg entropy spectral analysis (BESA), the configurational entropy spectral analysis (CESA), maximum likelihood (MLE), ordinary least squares (OLS), and the Yule-Walker (YW) method were developed for the spectral analysis and flood-season streamflow forecasting in the basin. The results indicated that the BESA model had a great advantage in the streamflow forecasting compared with the CESA and other traditional methods. Taking 20% as the allowable error, the forecast passing rate of the BESA model trained by the remote sensing data can reach 93% in flood seasons during 2003-2017, which was significantly higher than that trained by observed streamflow series at the Bahadurabad station. Furthermore, the segmented flood-affected area function with the input of the streamflow forecasted by the BESA model was able to forecast the annual trend of the flood-affected area of rice and tea but needed further improvement in extreme rainfall years. This paper provides a better flood-season streamflow forecasting method for the Brahmaputra River basin, which has the potential to be coupled with hydrological process models to enhance the forecasting accuracy.
WOS关键词GANGES ; DELTA
资助项目National Natural Science Foundation of China[31,861,143,015] ; National Natural Science Foundation of China[51,809,251] ; Key Program of the Chinese Academy of Sciences[ZDRW-ZS-2016-6] ; Key Program of the Chinese Academy of Sciences[KGFZD-135-17-009]
WOS研究方向Physics
语种英语
出版者MDPI
WOS记录号WOS:000483732700079
资助机构National Natural Science Foundation of China ; Key Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/69757]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Shaoqiang; Cui, Huijuan
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Xiaobo,Wang, Shaoqiang,Cui, Huijuan. Application of the Entropy Spectral Method for Streamflow and Flood-Affected Area Forecasting in the Brahmaputra River Basin[J]. ENTROPY,2019,21(8):17.
APA Wang, Xiaobo,Wang, Shaoqiang,&Cui, Huijuan.(2019).Application of the Entropy Spectral Method for Streamflow and Flood-Affected Area Forecasting in the Brahmaputra River Basin.ENTROPY,21(8),17.
MLA Wang, Xiaobo,et al."Application of the Entropy Spectral Method for Streamflow and Flood-Affected Area Forecasting in the Brahmaputra River Basin".ENTROPY 21.8(2019):17.

入库方式： OAI收割

来源：地理科学与资源研究所

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