Keywords
hydro-meteorological hazards
risk source-pathway-receptor approach
How to Cite
Abstract
Extreme hydro-meteorological phenomena lead annually to serious damage and losses in the coastal zone of Isla del Carmen, on the Gulf of Mexico. The importance of the risk assessment is the possibility of preventing or reducing those harmful effects. In this context, an integrated risk assessment approach is performed based on the source-pathway-receptor concept to assess the flooding risk in the area. The paper analyses the consequences on the dune ecosystem that extends longitudinally along the island; and the effects on the population, infrastructure and natural habitat located next to the beach. The results of the study will be used to define the zones with a higher level of risk and to propose flood risk mitigation measures. Moreover, the study will contribute to the establishment of specific legislation which supports the protection of the coastal dune.References
Burzel, A., D. Dassanayake, M. Naulin, A. Kortenhaus, H. Oumerachi, T. Wahl et al. 2010.
Integrated flood risk analysis for extreme storm surges (XTREMRISK), Proceedings of 32th
International Conference on Coastal Engineering (ICCE), Shanghai, China. CONABIO. 2009. Manglares de México: Extensión y distribución. Comisión Nacional para el Conocimiento y Uso de la Biodiversidad, México. Dassanayake, D.R., A. Burzel, A. Kortenhaus, and H. Oumeraci. 2010. Framework and methods for the evaluation of intangible losses and their integration in coastal flood risk analysis. Durán G. 2010, Análisis del peligro por marea de tormenta en el Golfo de México, Tesis de maestría, UNAM, México. Gouldby, B., and P. Samuels. 2005. Language of risk- Project definitions, FLOODsite EU Integrated Project, Research Report T32-04-01.
Jha, A., J. Lamond, R. Bloch, N. Bhattacharya, A. López, N. Papachristodoulou et al. 2011. Five Feet High and Rising- Cities and Flooding in the 21st Century, Policy Research Working Paper 5648.
Kirby J.T., and R.A. Dalrymple. 1994. Combined Refraction/Diffraction Model REF/DIF 1, Center for Applied Coastal Research, University of Delaware, Newark.
Marquez, A., V. Torres, A. Bolongaro, J. Chavarría, F. Varona, G. Expósito et al. 2008. Estudio de la dinámica costera del litoral norte del municipio del Carmen, Campeche, Universidad Autónoma del estado de Morelos.
Monbaliu, J., R. Padilla. 2000. The spectral wave model, WAM, adapted for applications with high spatial resolution, Coastal Engineering, 41, 41-62.http://dx.doi.org/10.1016/S0378-3839(00)00026-0
Narayan, S., S. Hanson, R.J. Nicholls, and D. Clarke. 2011. Use of the source-pathway-receptorconsequence model in coastal flood risk assessment, European Geosciences Union General Assembly, Vienna, Austria.
Oumeraci, H., J. Jensen, G. Gönnert, E. Pasche, A. Kortenhaus, M. Naulin, T. Wahl et al. 2009. Flood risk analysis for a megacity: The German XtremRisK project, Proc. Conference on Road Map towards a Flood Resilient Urban Environment, Paris.
Posada, G. 2007. Modelo numérico hidrodinámico tridimensional para la predicción de la evolución de una descarga de una substancia conservativa de un emisor submarino, Tesis doctoral, UNAM, México.
Roelvink D., A. Reniers, A. van Dongeren, J. van Thiel, J. Lescinski, and R. McCall. 2010. XBeach model description and manual, Unesco-IHE Institute for Water Education, Deltares and Delf University of Technology.