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Classification Forecast and Interval Forecast for Water Level of Fenshuijiang Station Based on Systematic Clustering
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Zhan-sheng JI1, Xiao-yong LIU2, Jun WANG3, Zhen-lin ZHANG1
Water Resources and Power | 2023, 41(2) : 11 - 14
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Water Resources and Power | 2023, 41(2): 11-14
HYDROLOGY, WATER RESOURCES AND ENVIRONMENT
Classification Forecast and Interval Forecast for Water Level of Fenshuijiang Station Based on Systematic Clustering
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Zhan-sheng JI1, Xiao-yong LIU2, Jun WANG3, Zhen-lin ZHANG1
Affiliations
  • 1.Hangzhou Hydrology and Water Resources Monitoring Center, Hangzhou 310016, China
  • 2.Hydraulic Engineering Science and Technology Consultation Limited Company of Jiangsu Province, Nanjing 210029, China
  • 3.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
Published: 2023-02-25 doi: 10.20040/j.cnki.1000-7709.2023.20220723
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The research on water level prediction method of Fenshui River control station in Fenshui River basin that improves the prediction accuracy is of great significance to support regional flood control decision-making. The typical historical floods of Fenshuijiang hydrology station from 2012 to 2020 were selected and classified into category Ⅰ and Ⅱ flood based on systematic cluster analysis method, with the maximum 1-day flood volume, peak discharge, peak water level and the proportion of flood initiation duration as cluster indexes. The water level classification and prediction of water level stations were carried out by flow routing and water level and flow relation conversion method. The upper and lower boundaries of the water level and flow relationship of different flood types were constructed, and a classified interval prediction method of flood level was proposed. The results show that the accuracy of flood peak water level prediction for the two types of floods is improved effectively, the width of forecast interval is obviously reduced, and the availability of forecast results is improved.

Fenshuijiang station  /  systematic clustering  /  classified forecast  /  interval forecast
Zhan-sheng JI, Xiao-yong LIU, Jun WANG, Zhen-lin ZHANG. Classification Forecast and Interval Forecast for Water Level of Fenshuijiang Station Based on Systematic Clustering[J]. Water Resources and Power, 2023 , 41 (2) : 11 -14 . DOI: 10.20040/j.cnki.1000-7709.2023.20220723
Year 2023 volume 41 Issue 2
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20220723
  • Receive Date:2022-04-12
  • Online Date:2026-01-27
  • Published:2023-02-25
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History
  • Received:2022-04-12
  • Revised:2022-05-08
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Affiliations
    1.Hangzhou Hydrology and Water Resources Monitoring Center, Hangzhou 310016, China
    2.Hydraulic Engineering Science and Technology Consultation Limited Company of Jiangsu Province, Nanjing 210029, China
    3.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, 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
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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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