Determination of urban runoff coefficient using time series inverse modeling

Hai long Yin, Zhi chao Zhao, Ruoqian Wang, Zu xin Xu (Lead / Corresponding author), Huai zheng Li

Research output: Contribution to journalLetterpeer-review

7 Citations (Scopus)
256 Downloads (Pure)


Runoff coefficient is an important parameter for the decision support of urban stormwater management. However, factors like comprehensive land-use type, variable spatial elevation, dynamic rainfall and groundwater elevation, make the direct estimation of runoff coefficient difficult. This paper presented a novel method to estimate the urban runoff coefficient using the inverse method, where observed time-series catchment outfall flow volume was employed as input for the water balance model and runoff coefficients of different catchments were treated as unknown parameters. A developed constrained minimization objective function was combined to solve the model and minimized error between observed and modeled outfall flow is satisfactory for the presenting of a set of runoff coefficients. Estimated runoff coefficients for the urban catchments in Shanghai downtown area demonstrated that practice of low impact design could play an important role in reducing the urban runoff.

Original languageEnglish
Pages (from-to)898-901
Number of pages4
JournalJournal of Hydrodynamics
Issue number5
Early online date12 Sept 2017
Publication statusPublished - 1 Oct 2017


  • inverse modeling
  • low impact design
  • Runoff coefficient
  • urban stormwater management

ASJC Scopus subject areas

  • Modelling and Simulation
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering


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