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Flood Forecasting Model Based on Similarity Measurement of Spatio-temporal Hydrological Data
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Min XIE1, Song-ting ZHU1, Tao FU2, Zhi-yong OUYANG1
Water Resources and Power | 2023, 41(8) : 77 - 80
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Water Resources and Power | 2023, 41(8): 77-80
• HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING •
Flood Forecasting Model Based on Similarity Measurement of Spatio-temporal Hydrological Data
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Min XIE1, Song-ting ZHU1, Tao FU2, Zhi-yong OUYANG1
Affiliations
  • 1.Jiangxi Flood Control Information Center, Nanchang 330009, China
  • 2.Jiangxi Shuitou Jianghe Information Technology Co., Ltd., Nanchang 330096, China
Published: 2023-08-25 doi: 10.20040/j.cnki.1000-7709.2023.20221477
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In the case that hydrological data only include rainfall station data and measured water level data of river monitoring section, it is always a major challenge to improve the accuracy of flood forecasting in small and medium-sized basins. In this paper, flood automatic coding was realized according to data characteristics, and historical floods were classified by using decision tree model, thus the candidate flood groups and eliminated flood groups were obtained and the calculation efficiency was improved. On this basis, a flood forecasting model was established based on the similarity measurement of spatio-temporal hydrological data. Taking the hydrological data of Dafenshui Basin in Jiangxi Province as an example, a case analysis of hydrological data was carried out, and four floods were randomly selected for verification. The results show that the qualification rate of flood peak water level is 100%, and the qualification rate of flood peak time is 75%, the accuracy is high, which has important theoretical value and practical significance in hydrological data research.

flood identification  /  similarity search  /  decision tree  /  flood peak prediction
Min XIE, Song-ting ZHU, Tao FU, Zhi-yong OUYANG. Flood Forecasting Model Based on Similarity Measurement of Spatio-temporal Hydrological Data[J]. Water Resources and Power, 2023 , 41 (8) : 77 -80 . DOI: 10.20040/j.cnki.1000-7709.2023.20221477
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20221477
  • Receive Date：2022-07-18
  • Online Date：2026-01-28
  • Published：2023-08-25
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  • Received：2022-07-18
  • Revised：2022-10-01
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Affiliations
    1.Jiangxi Flood Control Information Center, Nanchang 330009, China
    2.Jiangxi Shuitou Jianghe Information Technology Co., Ltd., Nanchang 330096, China
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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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