[1]Zhuo Jing,Hu Hao,Wang Zhi,et al.Research on optimization method for CN value in SCS model—a case study of Danjiang River Basin[J].Research of Soil and Water Conservation,2025,32(06):290-296.[doi:10.13869/j.cnki.rswc.2025.06.032]
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
32
Number of periods:
2025 06
Page number:
290-296
Column:
Public date:
2025-10-20
- Title:
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Research on optimization method for CN value in SCS model—a case study of Danjiang River Basin
- Author(s):
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Zhuo Jing1,Hu Hao2,Wang Zhi1,Ma Nan1
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(1.Shaanxi Provincial Emergency Early Warning Information Release Center,Xi'an 710015,China;2.Shaanxi Provincial Meteorological Service Center,Xi'an 710015,China)
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- Keywords:
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SCS-CN model; Danjiang River Basin; optimization method
- CLC:
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P333.1
- DOI:
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10.13869/j.cnki.rswc.2025.06.032
- Abstract:
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[Objective] To explore the applicability of SCS model for surface runoff simulation in the river basins in Qinling Mountains and provide technical support for surface runoff estimation in these basins. [Methods] Using observed runoff data from 103 rainfall events in 2011, the Curve Number (CN) was optimized using two methods: simulation using observed data-based formula and a multiple regression model. Then, the accuracy of the surface runoff inverted from the optimized CN was analyzed. [Results](1) The hydrological soil type in the study area was loam. Land use was dominated by deciduous broad-leaved forest, covering 61.85% of the study area. The soil moisture level was mainly dry throughout the year, with a proportion as high as 76.70%. The CN values showed significant correlations with both current rainfall amount and rainfall amount in the previous five days. (2) CN values simulated using the observed data-based formula exhibited significantly higher accuracy compared to those obtained by direct table lookup or multiple regression model. Moreover, data errors were all within available ranges.(3) The simulation accuracy of samples with large runoff of rainfall events was lower than that of samples with smaller surface runoff. [Conclusion] The application of the SCS model to surface runoff estimation in the region of Qinling Mountains is feasible, and the optimized CN values can provide support for the SCS model in surface runoff estimation in the Danjiang River Basin.