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[期刊论文]

五强溪水库近坝区洪水预报方法研究

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author:

Sha, Y. (Sha, Y..) [1] | Huang, Y. (Huang, Y..) [2] | Shi, B. (Shi, B..) [3] | Unfold

Indexed by:

Scopus PKU CSCD

Abstract:

Flood forecasting in the near-dam area of reservoir is challenging, and the accuracy of forecasting scheme usually cannot fulfill the requirements of flood prevention and scheduling. To address these problems, the entire near-dam area of Wuqiangxi Reservoir was divided into ten subbasins based on the distribution of historical rainfall centers and the characteristics of runoff generation and concentration. A new forecasting scheme was constructed using the three-source Xin'anjiang model, the model parameters were calibrated and the main causes of simulation errors were investigated based on typical flood events. The results show that the method proposed in this study can achieve the high accuracy of flood forecasting and is well applied in the real-time flood forecasting operation in 2021. The results also indicate that the lack of information on flood releases from water conservancy projects is the main cause of errors in runoff and peak flows. © 2022, Editorial Board of Journal of Hohai University (Nature Sciences). All right reserved.

Keyword:

Flood forecasting; Near-dam area; Unit watershed division; Wuqiangxi Reservoir; Xin'anjiang model

Community:

  • [ 1 ] [Sha, Y.]Wuling Power Corporation Ltd., Changsha, 410004, China
  • [ 2 ] [Sha, Y.]China Hunan Provincial Hydropower Intelligent Engineering Technology Research Center, Changsha, 410004, China
  • [ 3 ] [Huang, Y.]College of Civil Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Shi, B.]College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China
  • [ 5 ] [Gong, D.]College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China
  • [ 6 ] [Kuang, L.]Wuling Power Corporation Ltd., Changsha, 410004, China
  • [ 7 ] [Kuang, L.]China Hunan Provincial Hydropower Intelligent Engineering Technology Research Center, Changsha, 410004, China
  • [ 8 ] [Xiao, Y.]Wuling Power Corporation Ltd., Changsha, 410004, China
  • [ 9 ] [Xiao, Y.]China Hunan Provincial Hydropower Intelligent Engineering Technology Research Center, Changsha, 410004, China
  • [ 10 ] [Li, Q.]College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China

Reprint 's Address:

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    [Huang, Y.]College of Civil Engineering, China

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Source :

河海大学学报(自然科学版)

ISSN: 1000-1980

CN: 32-1117/TV

Year: 2022

Issue: 4

Volume: 50

Page: 58-65

Cited Count:

WoS CC Cited Count: 0

30 Days PV: 0

Online/Total:174/10143791
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