Guillot et al. (2026) Nonlinear Rational Method: Peak Discharge and Hydrograph Computation Without the Time of Concentration

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Hydrology
• Year: 2026
• Date: 2026-09-24
• Authors: T. Excie Guillot, José G. Vasconcelos, Xing Fang
• DOI: 10.3390/hydrology13100265

Research Groups

• Department of Civil Engineering, University of California, Berkeley
• Department of Hydrology, Colorado State University

Short Summary

This study proposes a new nonlinear rational method (NRM) to estimate peak discharges in urban catchments, combining the simplicity of the Rational Method with advanced routing algorithms. The NRM outperforms existing methods and accurately reproduces experimental data.

Objective

• Investigate an alternative approach for estimating peak discharges in urban catchments that balances simplicity and accuracy

Study Configuration

• Spatial Scale: Urban subcatchments (synthetic and real-world) with varying sizes and characteristics
• Temporal Scale: Short-term rainfall events, focusing on peak discharge estimation

Methodology and Data

• Models used: Nonlinear Reservoir Algorithm, Storm Water Management Model (SWMM), Rational Method-based Peak Flow Search Approach (PFSA)
• Data sources: Synthetic subcatchments, experimental datasets from real-world watersheds

Main Results

• The NRM estimates peak discharges within 15% of SWMM predictions for synthetic subcatchments and within 2% for realistic watersheds.
• The NRM accurately reproduces peak flows in experimental datasets.

Contributions

• Introduces a novel approach to estimate peak discharges in urban catchments, addressing the limitations of traditional methods (e.g., Rational Method).
• Demonstrates improved accuracy and robustness compared to existing methods.

Funding

• This research was supported by the National Science Foundation (Award #1835463) and the University of California, Berkeley's Hydrologic Research Group.

Citation

@article{Guillot2026Nonlinear,
  author = {Guillot, T. Excie and Vasconcelos, José G. and Fang, Xing},
  title = {Nonlinear Rational Method: Peak Discharge and Hydrograph Computation Without the Time of Concentration},
  journal = {Hydrology},
  year = {2026},
  doi = {10.3390/hydrology13100265},
  url = {https://doi.org/10.3390/hydrology13100265}
}