Flash Flood

Hong, Yang; Adhikari, Pradeep; Gourley, Jonathan J.

doi:10.1007/978-1-4020-4399-4_136

Cited by 25 publications

(12 citation statements)

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“…Flash floods mainly affect small watersheds where the response time to a rainfall event is very short, from a few minutes to a few hours [1][2][3]. Flash floods are common in the Mediterranean region, mainly caused by convective rainfall with an intensity that exceeds the infiltration capacity of the basin, which may potentially generate devastating floods [4,5]. The concentration time of is concentrated only in the highest elevation areas.…”

Section: Introductionmentioning

confidence: 99%

Validation of the AROME, ALADIN and WRF Meteorological Models for Flood Forecasting in Morocco

Khalki

Tramblay

Amengual

et al. 2020

Water

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Flash floods are common in small Mediterranean watersheds and the alerts provided by real-time monitoring systems provide too short anticipation times to warn the population. In this context, there is a strong need to develop flood forecasting systems in particular for developing countries such as Morocco where floods have severe socio-economic impacts. In this study, the AROME (Application of Research to Operations at Mesoscale), ALADIN (Aire Limited Dynamic Adaptation International Development) and WRF (Weather Research and Forecasting) meteorological models are evaluated to forecast flood events in the Rheraya and Ourika basin located in the High-Atlas Mountains of Morocco. The model evaluation is performed by comparing for a set of flood events the observed and simulated probabilities of exceedances for different precipitation thresholds. In addition, two different flood forecasting approaches are compared: the first one relies on the coupling of meteorological forecasts with a hydrological model and the second one is a based on a linear relationship between event rainfall, antecedent soil moisture and runoff. Three different soil moisture products (in-situ measurements, European Space Agency’s Climate Change Initiative ESA-CCI remote sensing data and ERA5 reanalysis) are compared to estimate the initial soil moisture conditions before flood events for both methods. Results showed that the WRF and AROME models better simulate precipitation amounts compared to ALADIN, indicating the added value of convection-permitting models. The regression-based flood forecasting method outperforms the hydrological model-based approach, and the maximum discharge is better reproduced when using the WRF forecasts in combination with ERA5. These results provide insights to implement robust flood forecasting approaches in the context of data scarcity that could be valuable for developing countries such as Morocco and other North African countries.

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Section: Introductionmentioning

confidence: 99%

Validation of the AROME, ALADIN and WRF Meteorological Models for Flood Forecasting in Morocco

Khalki

Tramblay

Amengual

et al. 2020

Water

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“…Inundation occurs over normally dry land from within minutes to a few hours of the causative rainfall and can have devastating impacts on lives and infrastructure (Hong et al, 2012). In recent years, there has been an increase in flash flood impacts, even as our ability to forecast events and warn areas at risk increases (Montz and Gruntfest, 2002).…”

Section: Introductionmentioning

confidence: 99%

Supplementing flash flood reports with impact classifications

Calianno

Ruin²,

Gourley³

2013

Journal of Hydrology

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“…Flash floods are rapid surface water responses to rainfall from intense thunderstorms or a sudden release of water from a reservoir, which results in short lead time and a considerable potential for damage due to high flow velocities and thus high hazard intensities (Hong et al 2012). Semi-arid regions with an episodic-often ungauged-drainage system are typically prone to flash floods, in particular if the local geology is characterized by loose sediments available for erosion or remobilization.…”

Section: Introductionmentioning

confidence: 99%

Multi-vulnerability analysis for flash flood risk management

et al. 2016

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Vulnerability assessment implies a quantitative evaluation of the individual vulnerability components such as elements at risk, their physical exposure and social characteristics. Current approaches in vulnerability research are driven by a divide between social scientists who tend to view vulnerability as representing a set of socio-economic factors, and scientists who view vulnerability in terms of the degree of loss to an element at risk. To close this gap, a multi-dimensional vulnerability analysis has been undertaken focusing on flash flood hazards in Greece. To represent physical vulnerability, an empirical relation between the process intensity and the degree of loss was established. With respect to social vulnerability, an assessment was undertaken by means of empirical data collection based on a door-to-door survey. In general, both physical and social vulnerability was comparable low, which is interpreted as a result from (a) specific building regulations in Greece as well as general design principles leading to less structural susceptibility of elements at risk exposed, and (b) a relatively low economic loss leading to less social vulnerability of citizens exposed. It is shown that a combination of different perspectives of vulnerability will lead to a better understanding of perceptions of actors regarding their vulnerabilities and capacities.

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Flash Flood

Cited by 25 publications

References 0 publications

Validation of the AROME, ALADIN and WRF Meteorological Models for Flood Forecasting in Morocco

Validation of the AROME, ALADIN and WRF Meteorological Models for Flood Forecasting in Morocco

Supplementing flash flood reports with impact classifications

Multi-vulnerability analysis for flash flood risk management

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