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Investigación de vangarda para o desenvolvemento sostible

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Investigación de vangarda para o desenvolvemento sostible

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2016

Fraga, Ignacio; Cea-Gómez, Luis; Puertas-Agudo, Jerónimo; Álvarez-Enjo, M.; Salsón, Santiago; Petazzi, A.

A methodology to account for rainfall uncertainty at the event scale in fully distributed rainfall runoff models Conference

CRC Press/Balkema, 2016, ISBN: 9781138029774, (cited By 0).

Abstract | Links | BibTeX | Etiquetas: 2D shallow water equations; Cross-validation analysis; Distributed hydrological model; Distributed rainfall-runoff models; Hydrological models; Prediction tools; Rainfall prediction; Rainfall uncertainties, Catchments; Engineering research; Equations of motion; Errors; Forecasting; Rain gages; Runoff, Rain

@conference{Fraga2016891,

title = {A methodology to account for rainfall uncertainty at the event scale in fully distributed rainfall runoff models},

author = {Ignacio Fraga and Luis Cea-Gómez and Jerónimo Puertas-Agudo and M. Álvarez-Enjo and Santiago Salsón and A. Petazzi},

editor = {Archambeau P. Dewals B. Erpicum S.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015028425&doi=10.1201%2fb21902-148&partnerID=40&md5=e050860eb2f9f8a4183555d776646afe},

doi = {10.1201/b21902-148},

isbn = {9781138029774},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

journal = {Sustainable Hydraulics in the Era of Global Change - Proceedings of the 4th European Congress of the International Association of Hydroenvironment engineering and Research, IAHR 2016},

pages = {891-895},

publisher = {CRC Press/Balkema},

abstract = {The increasing importance of hydrological models as management and prediction tools has triggered the need of quantifying the uncertainty of their predictions. These uncertainties result from multiple factors. In this paper we present a new methodology to account for rainfall uncertainty. The methodology is based on adding an error function to the rainfall prediction in every point. This error function is determined from cross-validation analysis of the available rain gauge data. The error functions are then sampled using random fields. The proposed methodology is firstly validated using rain data from 7 rain events. Then, a fully distributed hydrological model based on the 2D shallow water equations is then used to simulate an additional rain event in a 24km2 catchment, taking into account the rainfall prediction uncertainties and quantifying their effect on the computed discharge at the catchment outlet. © 2016 Taylor & Francis Group, London.},

note = {cited By 0},

keywords = {2D shallow water equations; Cross-validation analysis; Distributed hydrological model; Distributed rainfall-runoff models; Hydrological models; Prediction tools; Rainfall prediction; Rainfall uncertainties, Catchments; Engineering research; Equations of motion; Errors; Forecasting; Rain gages; Runoff, Rain},

pubstate = {published},

tppubtype = {conference}

}