Estimating the parameters of the curve number model

David A. Chin

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


A methodology is presented for combining the conventional Natural Resources Conservation Service (NRCS) 24-h rainfall distributions with Horton and Green-Ampt infiltration processes to estimate the curve number (CN) and initial abstraction (Ia) parameters of the NRCS curve number model. It is shown that the rainfall distribution, rainfall depth, and infiltration characteristics all affect CN and Ia, and the influence of these factors on CN and Ia under selected conditions are quantified. The results presented in this paper are particularly applicable to cases in which the dominant abstraction mechanism is infiltration.

Original languageEnglish (US)
Article number06017001
JournalJournal of Hydrologic Engineering
Issue number6
StatePublished - Jun 1 2017


  • Curve number model
  • Green-Ampt model
  • Horton model
  • Rainfall
  • Runoff

ASJC Scopus subject areas

  • Environmental Chemistry
  • Civil and Structural Engineering
  • Water Science and Technology
  • Environmental Science(all)


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