### Abstract

Hillslope response plays a fundamental role in the prediction of peak discharge at the basin outlet. The peak discharge for the critical duration of rainfall and its probability distribution are needed for designing urban infrastructure facilities. This study derives the probability distribution, denoted as GABS model, by coupling three models: (1) the Green-Ampt model for computing infiltration, (2) the kinematic wave model for computing discharge hydrograph from the hillslope, and (3) the intensity-duration-frequency (IDF) model for computing design rainfall intensity. The Hortonian mechanism for runoff generation is employed for computing the surface runoff hydrograph. Since the antecedent soil moisture condition (ASMC) significantly affects the rate of infiltration, its effect on the probability distribution of peak discharge is investigated. Application to a watershed in Sicily, Italy, shows that with the increase of probability, the expected effect of ASMC to increase the maximum discharge diminishes. Only for low values of probability, the critical duration of rainfall is influenced by ASMC, whereas its effect on the peak discharge seems to be less for any probability. For a set of parameters, the derived probability distribution of peak discharge seems to be fitted by the gamma distribution well. Finally, an application to a small watershed, with the aim to test the possibility to arrange in advance the rational runoff coefficient tables to be used for the rational method, and a comparison between peak discharges obtained by the GABS model with those measured in an experimental flume for a loamy-sand soil were carried out.

Lingua originale | English |
---|---|

pagine (da-a) | 6018-6032 |

Numero di pagine | 15 |

Rivista | Water Resources Research |

Volume | 53 |

Stato di pubblicazione | Published - 2017 |

### All Science Journal Classification (ASJC) codes

- Water Science and Technology

## Fingerprint Entra nei temi di ricerca di 'Modeling the probability distribution of peak discharge for infiltrating hillslopes'. Insieme formano una fingerprint unica.

## Cita questo

Baiamonte, G., Singh, V. P., & Singh, V. P. (2017). Modeling the probability distribution of peak discharge for infiltrating hillslopes.

*Water Resources Research*,*53*, 6018-6032.