干旱区生态环境知识资源中心(Arid): New Approach to Estimate Extreme Flooding Using Continuous Synthetic Simulation Supported by Regional Precipitation and Non-Systematic Flood Data

Arid

DOI	10.3390/w12113174
	New Approach to Estimate Extreme Flooding Using Continuous Synthetic Simulation Supported by Regional Precipitation and Non-Systematic Flood Data
	Beneyto, Carles; Aranda, Jose angel; Benito, Gerardo; Frances, Felix
通讯作者	Beneyto, C
来源期刊	WATER
EISSN	2073-4441
出版年	2020
卷号	12 期号:11
英文摘要	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.
英文关键词	weather generator palaeoflood regional extreme precipitation study ephemeral river fully distributed hydrology flood quantiles Rambla de la Viuda
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000594203500001
WOS关键词	FREQUENCY-ANALYSIS ; PALEOFLOOD HYDROLOGY ; RAINFALL ; GENERATION ; MODELS
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327765
作者单位	[Beneyto, Carles; Aranda, Jose angel; Frances, Felix] Univ Politecn Valencia, Res Inst Water & Environm Engn, Valencia 46022, Spain; [Benito, Gerardo] Univ Complutense Madrid, CSIC, Natl Museum Nat Sci, Dept Geol, Madrid 28006, Spain
推荐引用方式 GB/T 7714	Beneyto, Carles,Aranda, Jose angel,Benito, Gerardo,et al. New Approach to Estimate Extreme Flooding Using Continuous Synthetic Simulation Supported by Regional Precipitation and Non-Systematic Flood Data[J],2020,12(11).
APA	Beneyto, Carles,Aranda, Jose angel,Benito, Gerardo,&Frances, Felix.(2020).New Approach to Estimate Extreme Flooding Using Continuous Synthetic Simulation Supported by Regional Precipitation and Non-Systematic Flood Data.WATER,12(11).
MLA	Beneyto, Carles,et al."New Approach to Estimate Extreme Flooding Using Continuous Synthetic Simulation Supported by Regional Precipitation and Non-Systematic Flood Data".WATER 12.11(2020).