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Application of Real-time Correction Technology Based on Ensemble Kalman Filter in Basin Flood Forecasting
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Quan-ying SHU1, Qing-qing WANG2, Lei GUO1, Cheng-xiu LIU3, Xing ZHANG3, Ping LIN3
Water Resources and Power | 2023, 41(3) : 61 - 64
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Water Resources and Power | 2023, 41(3): 61-64
HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING
Application of Real-time Correction Technology Based on Ensemble Kalman Filter in Basin Flood Forecasting
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Quan-ying SHU1, Qing-qing WANG2, Lei GUO1, Cheng-xiu LIU3, Xing ZHANG3, Ping LIN3
Affiliations
  • 1.Zhejiang Design Institute of Water Conservancy & Hydro-electric Power Co., Ltd., Hangzhou 310002, China
  • 2.Zhejiang Dayu Information Technology Limited Company, Hangzhou 310002, China
  • 3.Wuchuan Water & Environment Co., Ltd., Shanghai 201102, China
Published: 2023-03-25 doi: 10.20040/j.cnki.1000-7709.2023.20221031
Outline
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In order to improve the accuracy of real-time flood forecasting in Jinhua River basin, the basin flood forecasting model coupled with Mike 11 Nam and Mike 11 HD and the real-time correction model based on Ensemble Kalman filter were established, and the real-time correction of flood forecasting in Jinhua River basin was realized. The simulation effect of the basin flood forecasting model on the main stations in the basin is good, and the simulation accuracy of flood discharge and flood level is high. When the real-time correction model is within 10h of the forecast period, the correction effect decreases with the increase of the forecast period, and the prediction error can be effectively reduced in the early stage of the forecast period. On the whole, the established basin flood forecasting model and the real-time correction model based on Ensemble Kalman filter can meet the application requirements of flood forecasting in Jinhua River basin.

hydrology and hydrodynamics  /  basin flood forecasting  /  ensemble Kalman filter  /  real time correction technology
Quan-ying SHU, Qing-qing WANG, Lei GUO, Cheng-xiu LIU, Xing ZHANG, Ping LIN. Application of Real-time Correction Technology Based on Ensemble Kalman Filter in Basin Flood Forecasting[J]. Water Resources and Power, 2023 , 41 (3) : 61 -64 . DOI: 10.20040/j.cnki.1000-7709.2023.20221031
Year 2023 volume 41 Issue 3
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20221031
  • Receive Date:2022-05-16
  • Online Date:2026-01-28
  • Published:2023-03-25
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History
  • Received:2022-05-16
  • Revised:2022-06-17
Funding
Affiliations
    1.Zhejiang Design Institute of Water Conservancy & Hydro-electric Power Co., Ltd., Hangzhou 310002, China
    2.Zhejiang Dayu Information Technology Limited Company, Hangzhou 310002, China
    3.Wuchuan Water & Environment Co., Ltd., Shanghai 201102, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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