The hydrological setting of the 2013 floods in Mexico

Acuña, Adrián Pedrozo; Breña-Naranjo, José Agustín; Domínguez-Mora, Ramón

doi:10.1002/wea.2355

Cited by 21 publications

(9 citation statements)

References 8 publications

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“…Unfortunately, uncertain or scarce observations are common during extreme flood events (e.g. Pedrozo-Acuña et al, 2014). Maps of observed flooding are especially difficult to obtain in urban areas due to the short time scale of their occurrence (usually a few hours).…”

Section: Discussionmentioning

confidence: 99%

Integrated modelling of overland flows and drainage networks in a urban environment

Courty¹

2018

Preprint

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Flood is already one of the most common disaster at a global scale.With the combined effects of the continuing urbanization and ongoing climate change, the number of both inundation events and affectees is set to increase.Numerical flood simulation is a key tool to be better prepared to tackle those changes, as it allows us to evaluate the impacts of multiple weather and development scenarios at a reduced cost.In the past decades, flood models have become more reliable and accessible, leading them to be now part of the common toolbox of consulting engineers, public authorities and academics.However, correctly model the hydrological processes occurring in a urban environment is a challenging task.A successful urban flood model should be able to resolve the overland flows, the drainage network flows, and the complex interactions that are taking place between those two systems.Furthermore, the combination of the large scale of modern cities and the fine resolution needed to adequately model the overland flows requires large computational resources, and limits the models usefulness for advanced applications, like ensemble analysis.The present describes a new, open-source, coupled flood model that takes advantage of recent advances in urban inundation modelling. The surface model of the developed tool employs a simplified numerical scheme that allows fast simulation at high resolution.The drainage network model is the well known SWMM, developed by the EPA.The simulation of the coupling between the drainage and the surface models is based on the knowledge recently acquired by physical modelling.The developed surface model is first evaluated against a combination of analytic solutions and a well-known similar model.It is then employed to the reproduction of an historical flood in the city of Hull, UK.The coupled surface-drainage model is first compared to similar commercial and academic models.Then, the coupled model is applied to an historical flood in the city of Kolkata, India.In all those tests, the developed software gives adequate results and paves the way to its use for flood risk mapping and drainage network design.

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Section: Discussionmentioning

confidence: 99%

Integrated modelling of overland flows and drainage networks in a urban environment

Courty¹

2018

Preprint

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“…Most articles in the literature are using GIS for data pre-processing, network analysis and data display, although there are several potential contributions of GIS to different disaster management phases (Özdamar & Ertem, 2015). Unlike earthquakes, in which the damage depends on the epicenter, many floods can be analysed considering the vulnerability of the area and the level of rainfall (Pedrozo-Acuña et al, 2014). Based on that, flood maps can be developed, making GIS relevant for flood management.…”

Section: Geographical Information Systemsmentioning

confidence: 99%

“…During September 2013, Mexico was struck simultaneously by hurricane Ingrid from the Atlantic and hurricane Manuel from the Pacific. This situation affected nearly 77% of the territory causing extraordinary rainfall and successive flooding in different areas (Pedrozo-Acuña, Breña-Naranjo, & Domínguez-Mora, 2014). The resulting floods had a major impact in the State of Guerrero.…”

Section: Introductionmentioning

confidence: 99%

Disaster preparedness in humanitarian logistics: A collaborative approach for resource management in floods

Rodríguez-Espíndola

Albores

Brewster

2018

European Journal of Operational Research

167

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The logistical deployment of resources to provide relief to disaster victims and the appropriate planning of these activities are critical to reduce the suffering caused. Disaster management attracts many organisations working alongside each other and sharing resources to cope with an emergency.Consequently, successful operations rely heavily on the collaboration of different organisations.Despite this, there is little research considering the appropriate management of resources from multiple organisations, and none optimising the number of actors required to avoid shortages or convergence.This research introduces a disaster preparedness system based on a combination of multi-objective optimisation and geographical information systems to aid multi-organisational decision-making. A cartographic model is used to avoid the selection of floodable facilities, informing a bi-objective optimisation model used to determine the location of emergency facilities, stock prepositioning, resource allocation and relief distribution, along with the number of actors required to perform these activities.The real conditions of the flood of 2013 in Acapulco, Mexico, provided evidence of the inability of any single organisation to cope with the situation independently. Moreover, data collected showed the unavailability of enough resources to manage a disaster of that magnitude at the time. The results highlighted that the number of government organisations deployed to handle the situation was excessive, leading to high cost without achieving the best possible level of satisfaction. The system proposed showed the potential to achieve better performance in terms of cost and level of service than the approach currently employed by the authorities.Keywords: Humanitarian logistics, multiple objective programming, OR in disaster relief, disaster preparedness. THEORETICAL FRAMEWORK2.

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“…En esta zona se encuentran las regiones que con mayor frecuencia se ven afectadas por eventos hidrometeorológicos extremos [24,28]. Dentro del litoral atlántico de México, se encuentra el caso específico de la cuenca del río Pánuco que desemboca al Golfo de México en el puerto de Tampico en los límites entre los estados de Tamaulipas y Veracruz ( fig.…”

Section: áRea De Estudiounclassified

Evaluación de la marea de tormenta en sitios con escasez de datos: río Pánuco, México

Meza‐Padilla

Appendini

Acuña

et al. 2015

Ribagua

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The hydrological setting of the 2013 floods in Mexico

Cited by 21 publications

References 8 publications

Integrated modelling of overland flows and drainage networks in a urban environment

Integrated modelling of overland flows and drainage networks in a urban environment

Disaster preparedness in humanitarian logistics: A collaborative approach for resource management in floods

Evaluación de la marea de tormenta en sitios con escasez de datos: río Pánuco, México

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