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The Improvement of SCS-CN and Its Application in Flood Prediction
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Tong SUN1, 2, Jie WANG1, 2, Feng-ming LIANG1, 2, Peng-nian HUANG1, 2, Cheng-jie LIN1, 2, Jing-jing JI1, 2, Song-lin TAN1, 2
Water Resources and Power | 2023, 41(12) : 68 - 72
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Water Resources and Power | 2023, 41(12): 68-72
• HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING •
The Improvement of SCS-CN and Its Application in Flood Prediction
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Tong SUN1, 2, Jie WANG1, 2, Feng-ming LIANG1, 2, Peng-nian HUANG1, 2, Cheng-jie LIN1, 2, Jing-jing JI1, 2, Song-lin TAN1, 2
Affiliations
  • 1.School of Hydrology and Water Resources, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • 2.Key Laboratory of Hydrometeorological Disaster Mechanism and Warning of Ministry of Water Resources, Nanjing 210044, China
Published: 2023-12-25 doi: 10.20040/j.cnki.1000-7709.2023.20230215
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An accurate hydrological model with strong adaptability is crucial for predicting floods and preventing disasters. The antecedent soil moisture and rain intensity factors are considered to improve the SCS-CN runoff generation model. Then the new SCS-CN hydrological model is developed by adding the watershed concentration module. From the perspectives of different climate zones and magnitude floods, the new model is applied in four basins to flow simulation, which include semiarid basins of Hancun and Macun, and humid basins of Shenglihe and Gongcheng. The results demonstrate that new SCS-CN hydrological model has good applicability in both semi-arid and humid basins, with better performance in semi-arid basins. Generally, the model shows better accuracy in simulating floods of different magnitudes, especially for small and medium floods.

flood forecasting  /  model improvement  /  SCS-CN hydrological model  /  model comparison
Tong SUN, Jie WANG, Feng-ming LIANG, Peng-nian HUANG, Cheng-jie LIN, Jing-jing JI, Song-lin TAN. The Improvement of SCS-CN and Its Application in Flood Prediction[J]. Water Resources and Power, 2023 , 41 (12) : 68 -72 . DOI: 10.20040/j.cnki.1000-7709.2023.20230215
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Year 2023 volume 41 Issue 12
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20230215
  • Receive Date：2023-02-18
  • Online Date：2026-01-28
  • Published：2023-12-25
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History
  • Received：2023-02-18
  • Revised：2023-04-04
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Affiliations
    1.School of Hydrology and Water Resources, Nanjing University of Information Science & Technology, Nanjing 210044, China
    2.Key Laboratory of Hydrometeorological Disaster Mechanism and Warning of Ministry of Water Resources, Nanjing 210044, China
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https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20230215
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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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