Yesenia Morgado, O. S. Areu-Rangel, Rodolfo Silva, T. Miyashita, N. Mori, T. Tomiczek
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Using the SPRC methodology to assess tsunami risk in Zihuatanejo, Mexico
ABSTRACT The increase in the magnitude of natural disasters has led to the development of risk assessment methodologies to indicate risk levels in qualitative terms. Among these, the Source-Pathway-Receptor-Consequence (SPRC) methodology assesses the risk from the source of the hazard to the possible consequences. In the present work, an economic evaluation was carried out on the substantial damages directly associated with the floods generated by a 10 m high tsunami off the coast of Zihuatanejo, Mexico. This event was identified as the worst-case scenario of tsunamis associated with a 8.4 Mw earthquake. The method followed was the SPRC, with an economic evaluation, applied to street level in Zihuatanejo. The economic costs were obtained from the results of this work using a criterion to characterize the percentage of damage to various types of housing and goods associated with different levels of flooding. This work is intended as a basis for the better planning of urban development, considering possible economic damage from tsunamis. It also provides a more objective perspective for distributing funds for mitigating natural disasters, allowing aid to be directed to the areas and types of housing with greatest risk from the flooding.
期刊介绍:
Coastal Engineering Journal is a peer-reviewed medium for the publication of research achievements and engineering practices in the fields of coastal, harbor and offshore engineering. The CEJ editors welcome original papers and comprehensive reviews on waves and currents, sediment motion and morphodynamics, as well as on structures and facilities. Reports on conceptual developments and predictive methods of environmental processes are also published. Topics also include hard and soft technologies related to coastal zone development, shore protection, and prevention or mitigation of coastal disasters. The journal is intended to cover not only fundamental studies on analytical models, numerical computation and laboratory experiments, but also results of field measurements and case studies of real projects.