Respectively, Assistant Professor (Muñoz), Alonso de Ribera 2850, Department of Civil Engineering, Universidad Católica de la Santísima Concepción, Concepción, Chile; Full Professor (Arumí), Department of Water Resources, Universidad de Concepción, Chillán, Chile; Associate Professor (Vargas), Department of Civil Engineering, Universidad de Concepción, Chile (E-Mail/Muñoz: firstname.lastname@example.org).
A Design Peak Flow Estimation Method for Medium-Large and Data-Scarce Watersheds With Frontal Rainfall1
Article first published online: 17 JAN 2012
© 2012 American Water Resources Association
JAWRA Journal of the American Water Resources Association
Volume 48, Issue 3, pages 439–448, June 2012
How to Cite
Muñoz, E., Arumí, J. L. and Vargas, J. (2012), A Design Peak Flow Estimation Method for Medium-Large and Data-Scarce Watersheds With Frontal Rainfall. JAWRA Journal of the American Water Resources Association, 48: 439–448. doi: 10.1111/j.1752-1688.2011.00622.x
Paper No. JAWRA-10-0219-P of the Journal of the American Water Resources Association (JAWRA). Received December 23, 2010; accepted October 21, 2011. © 2012 American Water Resources Association. Discussions are open until six months from print publication.
- Issue published online: 1 JUN 2012
- Article first published online: 17 JAN 2012
- peak flows;
- ungauged basins;
- surface water hydrology.)
Muñoz, Enrique, José Luis Arumí, and José Vargas, 2012. A Design Peak Flow Estimation Method for Medium-Large and Data-Scarce Watersheds With Frontal Rainfall. Journal of the American Water Resources Association (JAWRA) 48(3): 439-448. DOI: 10.1111/j.1752-1688.2011.00622.x
Abstract: We developed a reliable peak flow estimation method for the design of hydraulic structures. The method is valid in medium-large watersheds (100-5,000 km2) located in Chile between 32°45′ and 43°50′S, with scarcity of hydro-meteorological information, and where frontal rainfall prevails. The proposed method requires only rainfall data and geomorphologic descriptors as inputs, and relates the instant peak flow with the time of concentration rainfall flux (the contributing watershed area multiplied by the rainfall). The parameters of the model were defined with peak flows obtained from statistical analyses of historical fluviometric records from 25 watersheds. The quality of the proposed method is evaluated by applying it to three external watersheds different from those used to define model parameters, and comparing it with three other indirect methods and with peak flows obtained from statistical analyses, which were also used as the benchmark. The proposed method estimates peak flows with mean differences of less than 10%, which is two times less than other similar indirect methodologies, making it a recommendable option for estimating design peak flows.