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Research on Stochastic Simulation Method of Multi-station Flood Series Based on Conditional Resampling
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Quan-sen WANG1, 2, An-qiang LI1, 2, Cheng-wei LU1, 2
Water Resources and Power | 2023, 41(7) : 98 - 101
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Water Resources and Power | 2023, 41(7): 98-101
• HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING •
Research on Stochastic Simulation Method of Multi-station Flood Series Based on Conditional Resampling
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Quan-sen WANG1, 2, An-qiang LI1, 2, Cheng-wei LU1, 2
Affiliations
  • 1.CISPDR Corporation, Wuhan 430010, China
  • 2.Hubei Key Laboratory of Basin Water Security, Wuhan 430010, China
Published: 2023-07-25 doi: 10.20040/j.cnki.1000-7709.2023.20221633
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Taking the self- and cross-correlation of the multi-station streamflow series of the main and tributary of the basin as the starting point, a multi-site flood series simulation method based on the conditional resampling theory was proposed, and simulate the flood series of Pingshan, Cuntan and Yichang station on the main stream of Changjiang River. The simulation results were compared with the results of the multi-station seasonal autoregressive model (MSAR) for verification and analysis. The results show that compared with the traditional model, the proposed method can not only satisfy the basic statistical characteristics of the runoff series and the higher-order self- and cross-correlation structures of the series, but also further consider the historical extreme flood characteristic, and could generate multi-station simulated flood scenarios with different design frequency.

multi-station flood series simulation  /  conditional resampling  /  higher-order self-and cross-correlation structures  /  historical extreme flood characteristics
Quan-sen WANG, An-qiang LI, Cheng-wei LU. Research on Stochastic Simulation Method of Multi-station Flood Series Based on Conditional Resampling[J]. Water Resources and Power, 2023 , 41 (7) : 98 -101 . DOI: 10.20040/j.cnki.1000-7709.2023.20221633
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20221633
  • Receive Date：2022-08-08
  • Online Date：2026-01-28
  • Published：2023-07-25
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History
  • Received：2022-08-08
  • Revised：2022-09-08
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    1.CISPDR Corporation, Wuhan 430010, China
    2.Hubei Key Laboratory of Basin Water Security, Wuhan 430010, China
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https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20221633
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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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