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Application of the Entropy Spectral Method for Streamflow and Flood-Affected Area Forecasting in the Brahmaputra River Basin
Wang, Xiaobo1,2,3; Wang, Shaoqiang1,2,3; Cui, Huijuan2,3
2019-08-01
Source PublicationENTROPY
Volume21Issue:8Pages:17
Corresponding AuthorWang, Shaoqiang(sqwang@igsnrr.ac.cn) ; Cui, Huijuan(cuihj@igsnrr.ac.cn)
AbstractReliable 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.
KeywordBurg entropy configurational entropy streamflow forecasting flood-affected area microwave sensors
DOI10.3390/e21080722
WOS KeywordGANGES ; DELTA
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Natural Science Foundation of China ; Key Program of the Chinese Academy of Sciences
WOS Research AreaPhysics
WOS SubjectPhysics, Multidisciplinary
WOS IDWOS:000483732700079
PublisherMDPI
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/69758
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Shaoqiang; Cui, Huijuan
Affiliation1.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
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.
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