A new flood type classification method for use in climate change impact studies

Turkington, Thea; Breinl, Korbinian; Ettema, J.; Alkema, D.; Jetten, Victor

doi:10.1016/j.wace.2016.10.001

Cited by 48 publications

(28 citation statements)

References 59 publications

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“…The lack of spatial coherence in Q‐V dependence matches the findings of Archfield et al (), Mangini et al (), and Svensson et al (); these authors detected only weak geographic cohesion in the trends of flood peaks and volumes, even though robust regime changes are known to emerge with a shift toward more rain‐driven regimes (Addor et al, ). Changes in Q‐V dependence could therefore potentially be derived not only by looking at changes in hydro‐climatological variables but also by applying knowledge about changes in flood type (Sikorska et al, ; Turkington et al, ).…”

Section: Discussionmentioning

confidence: 99%

Future Trends in the Interdependence Between Flood Peaks and Volumes: Hydro‐Climatological Drivers and Uncertainty

Brunner

Hingray

Zappa

et al. 2019

Water Resources Research

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Reliable flood estimates are needed for designing safe and cost-effective flood protection structures. Classical flood estimation methods applied for deriving such estimates focus on peak discharge and neglect other important flood characteristics such as flood volume and the interdependence among different flood characteristics. Furthermore, they do not account for potential nonstationarities in hydrological time series due to climate change. The consideration of both the interdependence between peak discharge and flood volume and its nonstationarity might help us derive more reliable flood estimates. A few studies have looked at changes in the general dependence of peak discharge and flood volume for small sets of catchments and explored ways of modeling such changes. However, spatial analyses of trends in this dependence or in their climatological drivers have not been carried out. The aim of this study was to help close this knowledge gap by first quantifying trends in the general dependence between peak discharge and flood volume as described by Kendall's tau on a spatially comprehensive data set of 307 catchments in Switzerland. Second, potential climatological drivers for changes in the dependence between peak discharge and flood volume were identified. Our results show that the dependence between peak discharge and flood volume and its trends are spatially heterogeneous. This pattern cannot be explained by one driver only but by an interplay of changes in precipitation, snowmelt, and soil moisture. Both the trends and the links between drivers and trends depend on the climate model chain considered and are therefore uncertain.

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Section: Discussionmentioning

confidence: 99%

Future Trends in the Interdependence Between Flood Peaks and Volumes: Hydro‐Climatological Drivers and Uncertainty

Brunner

Hingray

Zappa

et al. 2019

Water Resources Research

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“…Sikorska et al (2015) classified flood events in mountainous Swiss catchments using characteristics of precipitation and catchment states, such as catchment wetness, snow cover and glacier cover. Turkington et al (2016) classified synthetic flood events generated through application of a weather generator together with a hydrological model by using a cluster analysis technique on a set 25 of meteorological indices derived from the generated synthetic weather for two Alpine catchments in France and Austria.…”

Section: Introductionmentioning

confidence: 99%

Flood type classification and assessment of their past changes across Europe

Hundecha

Parajka

Viglione

2017

Preprint

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Abstract. This study was carried out to establish the characteristics of observed flood events across Europe in the past in terms of their spatial extent and the processes leading up to the events. Daily discharge data from more than 745 stations of 10 the Global Runoff Data Centre were used to identify peak flows at each station for the period 1961-2010. The identified events at the different stations were further analysed to determine whether they form the same flood event, thereby delineating the spatial extent of the flood events. A pan-European hydrological model was employed to estimate a set of catchment hydrological and hydro-meteorological state variables that are relevant in the flood generation process for each of the identified spatially delineated flood events. A subsequent clustering of the events based on the simulated state variables 15 was used to identify the flood generation mechanism of each flood event. Four general flood generation mechanisms were identified: long-rain flood, short-rain flood, snowmelt flood, and rain-on-snow flood. A trend analysis was performed to investigate how the frequency of each of the flood types has changed in time over the investigation period. In order to investigate whether there is a regional and seasonal pattern in the dominant flood generating mechanisms, this analysis was performed separately for winter and summer seasons and five different regions of Europe: Northern, Western, Eastern, 20Southern Europe, and the Alps. Continentally, the total number of flood events didn't show a significant change. However, the frequency of winter long rain events increased significantly while that of summer rain-on-snow events decreased significantly over the investigation period. Regional differences were detected in the dominant flood generating mechanism and the corresponding trends. In Western Europe, the frequency of both winter and summer rainfall events increased significantly. In Northern and Eastern Europe, the frequency of summer rain-on-snow events decreased significantly. In 25 addition, winter short rainfall events increased significantly in Eastern Europe. In the Alps, the frequency of summer short rain events increased significantly.Hydrol. Earth Syst. Sci. Discuss., https://doi

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“…Snowmelt events occur when the temperature exceeds a set threshold. If the average daily temperature is used to determine the type of precipitation and snowmelt conditions, the model will have significant limitations [6,85,86,87]. The precipitation in mountainous areas is influenced by both topography and microclimates [88].…”

Section: Discussionmentioning

confidence: 99%

“…Flood types can generally be divided into rainfall, snowmelt, and mixed floods [4,6,7,91]. Mixed floods are usually accompanied by snowmelt and precipitation, both of which contribute to the flood events [88].…”

Section: Discussionmentioning

confidence: 99%

“…The destructive power of floods causes great losses to peoples’ lives and their property security. Based on the source of the flood, flooding can be classified as either rainfall, snowmelt, or mixed floods [2,3,4,5,6,7]. In flat plain areas, since there is no water supply from melting snow and melting ice, the water originates primarily from rainfall and the flooding in these areas is mainly rainfall flooding [2,5].…”

Section: Introductionmentioning

confidence: 99%

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Sub-Daily Simulation of Mountain Flood Processes Based on the Modified Soil Water Assessment Tool (SWAT) Model

Duan

Meng

et al. 2019

IJERPH

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Floods not only provide a large amount of water resources, but they also cause serious disasters. Although there have been numerous hydrological studies on flood processes, most of these investigations were based on rainfall-type floods in plain areas. Few studies have examined high temporal resolution snowmelt floods in high-altitude mountainous areas. The Soil Water Assessment Tool (SWAT) model is a typical semi-distributed, hydrological model widely used in runoff and water quality simulations. The degree-day factor method used in SWAT utilizes only the average daily temperature as the criterion of snow melting and ignores the influence of accumulated temperature. Therefore, the influence of accumulated temperature on snowmelt was added by increasing the discriminating conditions of rain and snow, making that more suitable for the simulation of snowmelt processes in high-altitude mountainous areas. On the basis of the daily scale, the simulation of the flood process was modeled on an hourly scale. This research compared the results before and after the modification and revealed that the peak error decreased by 77% and the time error was reduced from ±11 h to ±1 h. This study provides an important reference for flood simulation and forecasting in mountainous areas.

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A new flood type classification method for use in climate change impact studies

Cited by 48 publications

References 59 publications

Future Trends in the Interdependence Between Flood Peaks and Volumes: Hydro‐Climatological Drivers and Uncertainty

Future Trends in the Interdependence Between Flood Peaks and Volumes: Hydro‐Climatological Drivers and Uncertainty

Flood type classification and assessment of their past changes across Europe

Sub-Daily Simulation of Mountain Flood Processes Based on the Modified Soil Water Assessment Tool (SWAT) Model

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