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Open AccessArticle

New Approach to Estimate Extreme Flooding Using Continuous Synthetic Simulation Supported by Regional Precipitation and Non-Systematic Flood Data

1
Research Institute of Water and Environmental Engineering, Universitat Politècnica de València, 46022 Valencia, Spain
2
Department of Geology, National Museum of Natural Sciences (CSIC-Universidad Complutense de Madrid), 28006 Madrid, Spain
*
Author to whom correspondence should be addressed.
Water 2020, 12(11), 3174; https://doi.org/10.3390/w12113174
Received: 20 October 2020 / Revised: 4 November 2020 / Accepted: 11 November 2020 / Published: 13 November 2020
(This article belongs to the Section Hydrology and Hydrogeology)
Stochastic weather generators combined with hydrological models have been proposed for continuous synthetic simulation to estimate return periods of extreme floods. Yet, this approach relies upon the length and spatial distribution of the precipitation input data series, which often are scarce, especially in arid and semiarid regions. In this work, we present a new approach for the estimation of extreme floods based on the continuous synthetic simulation method supported with inputs of (a) a regional study of extreme precipitation to improve the calibration of the weather generator (GWEX), and (b) non-systematic flood information (i.e., historical information and/or palaeoflood records) for the validation of the generated discharges with a fully distributed hydrological model (TETIS). The results showed that this complementary information of extremes allowed for a more accurate implementation of both the weather generator and the hydrological model. This, in turn, improved the flood quantile estimates, especially for those associated with return periods higher than 50 years but also for higher quantiles (up to approximately 500 years). Therefore, it has been proved that continuous synthetic simulation studies focused on the estimation of extreme floods should incorporate a generalized representation of regional extreme rainfall and/or non-systematic flood data, particularly in regions with scarce hydrometeorological records. View Full-Text
Keywords: weather generator; palaeoflood; regional extreme precipitation study; ephemeral river; fully distributed hydrology; flood quantiles; Rambla de la Viuda weather generator; palaeoflood; regional extreme precipitation study; ephemeral river; fully distributed hydrology; flood quantiles; Rambla de la Viuda
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MDPI and ACS Style

Beneyto, C.; Aranda, J.Á.; Benito, G.; Francés, F. New Approach to Estimate Extreme Flooding Using Continuous Synthetic Simulation Supported by Regional Precipitation and Non-Systematic Flood Data. Water 2020, 12, 3174. https://doi.org/10.3390/w12113174

AMA Style

Beneyto C, Aranda JÁ, Benito G, Francés F. New Approach to Estimate Extreme Flooding Using Continuous Synthetic Simulation Supported by Regional Precipitation and Non-Systematic Flood Data. Water. 2020; 12(11):3174. https://doi.org/10.3390/w12113174

Chicago/Turabian Style

Beneyto, Carles; Aranda, José Á.; Benito, Gerardo; Francés, Félix. 2020. "New Approach to Estimate Extreme Flooding Using Continuous Synthetic Simulation Supported by Regional Precipitation and Non-Systematic Flood Data" Water 12, no. 11: 3174. https://doi.org/10.3390/w12113174

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