Flood type specific construction of synthetic design hydrographs

Brunner, Manuela Irene; Viviroli, Daniel; Sikorska, Anna; Vannier, Olivier; Favre, Anne‐Catherine; Seibert, Jan

doi:10.1002/2016wr019535

Cited by 82 publications

(100 citation statements)

References 66 publications

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“…To prevent this, an interevent time definition IETD can be introduced (Brunner et al, ). As shown in Figure , two subsequent flood events, isolated by means of the threshold q t criterion, are assumed to be independent only when they are separated by an interevent period greater than IETD; hence, the flow discharge below the threshold is definitely discarded.…”

Section: Peak Flow Discharge and Flood Volume Joint Distributionmentioning

confidence: 99%

Copula‐Based Modeling of Flood Control Reservoirs

Balistrocchi

Orlandini

Ranzi

et al. 2017

Water Resources Research

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Copulas are shown in this paper to provide an effective strategy to describe the statistical dependence between peak flow discharge and flood volume featuring hydrographs forcing a flood control reservoir. A 52 year time series of flow discharges observed in the Panaro River (Northern Italian Apennines) is used to fit an event‐based bivariate distribution and to support time‐continuous modeling of a flood control reservoir, located online along the river system. With regard to reservoir performances, a method aimed at estimating the bivariate return period is analytically developed, by exploiting the derived distribution theory and a simplified routing scheme. In this approach, the return period is that of the peak flow discharge released downstream from the reservoir. Therefore, in order to verify the reliability of the proposed method, a nonparametric version of its frequency distribution is assessed by means of continuous simulation statistics. Copula derived and nonparametric distributions of the downstream peak flow discharge are found to be in satisfactory agreement. Finally, a comparison of bivariate return period estimates carried out by using alternative approaches is illustrated.

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Section: Peak Flow Discharge and Flood Volume Joint Distributionmentioning

confidence: 99%

Copula‐Based Modeling of Flood Control Reservoirs

Balistrocchi

Orlandini

Ranzi

et al. 2017

Water Resources Research

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“…Alternative approaches might consider exceedance probabilities of a different hydrograph parameter or of multiple parameters (Brunner et al 2016;Brunner et al 2017). However, the definition of an extreme flood can hinge on more than peak flow.…”

Section: Modeling Uncertaintymentioning

confidence: 99%

“…However, the definition of an extreme flood can hinge on more than peak flow. Alternative approaches might consider exceedance probabilities of a different hydrograph parameter or of multiple parameters (Brunner et al 2016;Brunner et al 2017). For example, one could analyze events corresponding to joint probability of exceedance of peak flow and flood duration, given the importance of flood duration for agricultural damage.…”

Section: Modeling Uncertaintymentioning

confidence: 99%

Flood Risk Reduction from Agricultural Best Management Practices

Antolini

Tate

Dalzell

et al. 2019

J American Water Resour Assoc

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Research Impact Statement: Agricultural best management practices (BMPs) can reduce flood risk, providing a co-benefit to nutrient reduction.ABSTRACT: Best management practices (BMPs) play an important role in improving impaired water quality from conventional row crop agriculture. In addition to reducing nutrient and sediment loads, BMPs such as fertilizer management, reduced tillage, and cover crops could alter the hydrology of agricultural systems and reduce surface water runoff. While attention is devoted to the water quality benefits of BMPs, the potential cobenefits of flood loss reduction are often overlooked. This study quantifies the effects of selected commonly applied BMPs on expected flood loss to agricultural and urban areas in four Iowa watersheds. The analysis combines a watershed hydrologic model, hydraulic model outputs, and a loss estimation model to determine relationships between hydrologic changes from BMP implementations and annual economic flood loss. The results indicate a modest reduction in peak discharge and economic loss, although loss reduction is substantial when urban centers or other high-value assets are located downstream in the watershed. Among the BMPs, wetlands, and cover crops reduce losses the most. The research demonstrates that watershed-scale implementation of agricultural BMPs could provide benefits of flood loss reduction in addition to water quality improvements.(

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“…This was done by dividing the ordinate of each hydrograph by the volume V. In the remainder of this paper, we refer to these normalized hydrographs as hydrograph shapes.The advantage of working with normalized hydrographs is that hydrograph shapes of catchments with different sizes can directly be compared. We refer the reader to Brunner et al [2017] for a more detailed description of the flood sampling and baseflow separation procedures.…”

Section: Flood Eventsmentioning

confidence: 99%

“…For this, the design hydrograph construction procedure proposed by Brunner et al [2017] for gauged catchments can be adapted and combined with an index flood approach [Dalrymple, 1960;Hosking and Wallis, 1997]. The design hydrograph construction approach is based on a bivariate flood frequency analysis, which considers the dependence between peak discharges and hydrograph volumes, and models the hydrograph shape via a probability density function This article is protected by copyright.…”

Section: Use Of Reactivity Regions In Design Hydrograph Constructionmentioning

confidence: 99%

Identification of Flood Reactivity Regions via the Functional Clustering of Hydrographs

Brunner

Viviroli

Furrer

et al. 2018

Water Resources Research

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Flood hydrograph shapes contain valuable information on the flood‐generation mechanisms of a catchment. To make good use of this information, we express flood hydrograph shapes as continuous functions using a functional data approach. We propose a clustering approach based on functional data for flood hydrograph shapes to identify a set of representative hydrograph shapes on a catchment scale and use these catchment‐specific sets of representative hydrographs to establish regions of catchments with similar flood reactivity on a regional scale. We applied this approach to flood samples of 163 medium‐size Swiss catchments. The results indicate that three representative hydrograph shapes sufficiently describe the hydrograph shape variability within a catchment and therefore can be used as a proxy for the flood behavior of a catchment. These catchment‐specific sets of three hydrographs were used to group the catchments into three reactivity regions of similar flood behavior. These regions were not only characterized by similar hydrograph shapes and reactivity but also by event magnitudes and triggering event conditions. We envision these regions to be useful in regionalization studies, regional flood frequency analyses, and to allow for the construction of synthetic design hydrographs in ungauged catchments. The clustering approach based on functional data which establish these regions is very flexible and has the potential to be extended to other geographical regions or toward the use in climate impact studies.

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Flood type specific construction of synthetic design hydrographs

Cited by 82 publications

References 66 publications

Copula‐Based Modeling of Flood Control Reservoirs

Copula‐Based Modeling of Flood Control Reservoirs

Flood Risk Reduction from Agricultural Best Management Practices

Identification of Flood Reactivity Regions via the Functional Clustering of Hydrographs

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