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Analysis of Causes of Waterlogging Based on Real-time Monitoring Data
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Tong-xin YANG1a, 1b, Di SHEN1a, 1b, You-ming LI1a, 2, Yan LONG1a, 1b, Hai-xia WU1a, 1b, Ai-qing KANG3
Water Resources and Power | 2023, 41(12) : 85 - 89
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Water Resources and Power | 2023, 41(12): 85-89
HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING
Analysis of Causes of Waterlogging Based on Real-time Monitoring Data
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Tong-xin YANG1a, 1b, Di SHEN1a, 1b, You-ming LI1a, 2, Yan LONG1a, 1b, Hai-xia WU1a, 1b, Ai-qing KANG3
Affiliations
  • 1a.School of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056038, China
  • 1b.Hebei Key Laboratory of Intelligent Water Conservancy, Hebei University of Engineering, Handan 056038, China
  • 2.BGI Engineering Consultants LTD., Beijing 100038, China
  • 3.China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Published: 2023-12-25 doi: 10.20040/j.cnki.1000-7709.2023.20230275
Outline
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In order to explore the causes of urban waterlogging, taking Guangzhou as an example, a drainage model was established based on SWMM. A waterlogging cause analysis method based on real-time monitoring data was proposed. Combining with the real-time monitoring data, the water-collecting capacity of water-logging points, the flow capacity of pipeline and the runoff generated by rainstorm were calculated. At the same time, the corresponding waterlogging measures were given according to different waterlogging causes. The results show that 75% of waterlogging cases involved insufficient surface drainage capacity, 57.7% of waterlogging cases involved watercourse top support, and 44.2% of waterlogging cases involved excessive rainfall intensity and insufficient pipe drainage capacity.

waterlogging  /  drainage model  /  analysis of causes of waterlogging  /  measures
Tong-xin YANG, Di SHEN, You-ming LI, Yan LONG, Hai-xia WU, Ai-qing KANG. Analysis of Causes of Waterlogging Based on Real-time Monitoring Data[J]. Water Resources and Power, 2023 , 41 (12) : 85 -89 . DOI: 10.20040/j.cnki.1000-7709.2023.20230275
Year 2023 volume 41 Issue 12
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20230275
  • Receive Date:2023-02-28
  • Online Date:2026-01-28
  • Published:2023-12-25
Article Data
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History
  • Received:2023-02-28
  • Revised:2023-04-13
Funding
Affiliations
    1a.School of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056038, China
    1b.Hebei Key Laboratory of Intelligent Water Conservancy, Hebei University of Engineering, Handan 056038, China
    2.BGI Engineering Consultants LTD., Beijing 100038, China
    3.China Institute of Water Resources and Hydropower Research, Beijing 100038, 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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