An Advanced Empirical NRCS-CN Model Estimation for Ungauged Catchment Insufficient Data

Martheana Kencanawati*, Data Iranata, Mahendra Andiek Maulana

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


The calculation of runoff is continuously considered a difficult analysis to define specific prediction methods in ungauged catchments. This leads to the implementation of an observed model to determine curve number (CN) and estimate peak discharge from ungauged basins. Therefore, this study aimed to modify an experimental NRCS model through fieldwork and conduct sensitivity analysis for relevant modeling procedures. In the analysis, the assessment of CN required land use, soil, infiltration in situ measurement, and Hydrological Soil Group (HSG) parameters for the catchment area. The determination of infiltration rate was also initially carried out using the Horton method (double-ring infiltrometer), accompanied by the evaluation of CN through soil classes and land use parameters. Based on infiltration rate and soil classification, HSG was significantly defined for the catchment area. The results showed that the analytical parameters in rainfall-runoff modeling included the Composite Curve Number (SCS-CN (Ia/S)) with a ratio value of 0.2. This was accompanied by the potential retention maximum (S) of 264.37 mm, with the initial proportional abstraction (Ia ) being 52.87 at an assumed preliminary coefficient of 0.2. Therefore, the CN composite estimation was 65.5, and the correlation between P and Q was evaluated using graph analysis. The trial CN ranging from 39-74 were also significantly considered to optimize the development models of HEC HMS for the best performance, proving that the improvement of CN was interrelated with discharge.

Original languageEnglish
Pages (from-to)761-767
Number of pages7
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Issue number2
Publication statusPublished - 2024


  • Curve number
  • fieldwork
  • land-use
  • peak discharge


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