Integrated tsunami vulnerability and risk assessment: application to the coastal area of El Salvador

Advances in the understanding and prediction of tsunami impacts allow for the development of risk reduction strategies for tsunami-prone areas. This paper presents a tsunami vulnerability and risk assessment for the case study of El Salvador, the applied methodology dealing with the complexity and variability of coastal zones by means of (i) an integral approach to cover the entire risk-related process from the hazard, vulnerability and risk assessments to the final risk management; (ii) an integrated approach to combine and aggregate the information stemming from the different dimensions of coupled human and natural systems; and (iii) a dynamic and scale-dependent approach to integrate the spatiotemporal variability considerations. This work also aims at establishing a clear connection to translate the vulnerability and risk assessment results into adequate target-oriented risk reduction measures, trying to bridge the gap between science and management for the tsunami hazard. The approach is applicable to other types of hazards, having been successfully applied to climate-change-related flooding hazard.

[1]  R. Kasperson,et al.  A framework for vulnerability analysis in sustainability science , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[2]  Petra Wächter.  Thinking in systems – a primer , 2011 .

[3]  Françoise Breton,et al.  An indicator set to measure the progress in the implementation of integrated coastal zone management in Europe , 2004 .

[4]  Mauricio González,et al.  Tsunami evacuation modelling as a tool for risk reduction: application to the coastal area of El Salvador , 2013 .

[5]  Stefan Dech,et al.  Tsunami risk assessment in Indonesia , 2011 .

[6]  Amy Luers,et al.  The surface of vulnerability: An analytical framework for examining environmental change , 2005 .

[7]  John D. Sterman,et al.  System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .

[8]  Toshitaka Katada,et al.  A method for estimating casualties due to the tsunami inundation flow , 2006 .

[9]  Numerical Simulations of the 1960 Chilean Tsunami Propagation and Inundation at Hilo, Hawaii , 1995 .

[10]  R. Chambers.  Editorial Introduction: Vulnerability, Coping and Policy , 1989 .

[11]  Xiaoming Wang,et al.  A Numerical Investigation of Boumerdes-Zemmouri (Algeria) Earthquake and Tsunami , 2005 .

[12]  J. Sterman.  Learning from evidence in a complex world. , 2006, American journal of public health.

[13]  Stefan Greiving,et al.  A Methodology for an integrated risk assessment of spatially relevant hazards , 2006 .

[14]  M. J. Castro,et al.  Tsunami hazard assessment in El Salvador, Central America, from seismic sources through flooding numerical models. , 2013 .

[15]  H. Bungum,et al.  Tsunami hazard in the Caribbean: Regional exposure derived from credible worst case scenarios , 2012 .

[16]  Warner Marzocchi,et al.  Tsunami risk assessments in Messina, Sicily – Italy , 2012 .

[17]  F. Dall'Osso,et al.  Assessing the vulnerability of buildings to tsunami in Sydney , 2009 .

[18]  Randall J. LeVeque,et al.  Tsunami modelling with adaptively refined finite volume methods* , 2011, Acta Numerica.

[19]  Elinor Ostrom,et al.  Coupled Human and Natural Systems , 2007, Ambio.

[20]  Hiroaki Sato,et al.  Study on a Simplified Method of Tsunami Risk Assessment , 2003 .

[21]  Elaboración del Mapa de Accesibilidad y Modelamiento de Evacuación ante una eventual ocurrencia de Tsunami en las ciudades de Salinas y Bahía de Caráquez (Ecuador) mediante herramientas geoinformáticas , 2011 .

[22]  J. Vrijling,et al.  Methods for the estimation of loss of life due to floods: a literature review and a proposal for a new method , 2008 .

[23]  Juan Carlos,et al.  Rapid assessment of potential impacts of a tsunami: lessons from the Port of Galle in Sri Lanka , 2008 .

[24]  Costas E. Synolakis,et al.  The runup of solitary waves , 1987, Journal of Fluid Mechanics.

[25]  W. J. Fletcher.  The application of qualitative risk assessment methodology to prioritize issues for fisheries management , 2005 .

[26]  Coleen Vogel,et al.  Vulnerability and global environmental change : rhetoric and reality , 2004 .

[27]  J. Wijetunge.  A deterministic analysis of tsunami hazard and risk for the southwest coast of Sri Lanka , 2014 .

[28]  Abdul Muhari,et al.  Generating tsunami risk knowledge at community level as a base for planning and implementation of risk reduction strategies , 2011 .

[29]  Toshitaka Katada,et al.  TSUNAMI SCENARIO SIMULATOR: A TOOL FOR ENSURING EFFECTIVE DISASTER MANAGEMENT AND COASTAL EVACUATION IN A MULTILANGUAGE SOCIETY , 2008 .

[30]  Gunter Zeug,et al.  Tsunami Vulnerability and Risk Analysis Applied to the City of Alexandria, Egypt , 2009 .

[31]  K. V. Zuilekom,et al.  A Decision Support System for Preventive Evacuation of People , 2005 .

[32]  M. L. Carreño,et al.  Framing vulnerability, risk and societal responses: the MOVE framework , 2013, Natural Hazards.

[33]  G. Jenks.  The Data Model Concept in Statistical Mapping , 1967 .

[34]  Yasunori Kozuki,et al.  A Human Damage Prediction Method for Tsunami Disasters Incorporating Evacuation Activities , 2003 .

[35]  Raúl Medina,et al.  C3: A finite volume-finite difference hybrid model for tsunami propagation and runup , 2011, Comput. Geosci..

[36]  Lindsey R. Barnes,et al.  A place-based model for understanding community resilience to natural disasters , 2008 .

[37]  Ian Parsons,et al.  Surface deformation due to shear and tensile faults in a half-space , 1986 .

[38]  K. Nagel,et al.  Measuring vulnerability to promote disaster-resilient societies: Conceptual frameworks and definitions , 2006 .

[39]  Colin Green,et al.  The evaluation of vulnerability to flooding , 2004 .