How to Cite

A PROBABILISTIC APPROACH TO A COASTAL VULNERABILITY INDEX: A TOOL FOR COASTAL MANAGERS. (2020). Coastal Engineering Proceedings, 36v, papers.37. https://doi.org/10.9753/icce.v36v.papers.37


Vulnerability assessment is invaluable information for coastal managers to develop better coastal development plans. Two approaches to do so are presented here: one evaluates vulnerability from a deterministic view applying the analytical hierarchy process (AHP); the second uses a probabilistic approach based on the Latin Hypercube and Monte Carlo modeling, therefore it considers the probability distribution functions of the variables under analysis. The results show that a probabilistic approach is more suitable for the assessment of coastal vulnerability.

Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/WDbsVMYsnJs


Ávila García, P. 2007. Las cuencas hidrológicas de México y su vulnerabilidad socioambiental por el agua. In M.A. Porrúa (Ed.), Políticas de desarrollo regional. Agenda para el desarrollo, México, DF, Universidad Nacional Autónoma de México, 133 – 161 pp.

Garvey, P. 2000. Probability methods for cost uncertainty analysis: a system engineering perspective. INEGI. 2010. Principales resultados por localidad 2010.

Ma, J., Huang, Z., Wong, P.C., Ferrymant, T., & Northwest, P. 2010. Probabilistic vulnerability assessment based on power flow and voltage distribution. In IEEE PES T&D 2010, 1-8 pp., https://doi.org/10.1109/TDC.2010.5484304.

Morgan M.G., Henrion M. 1990. Uncertainty: A guide to dealing with uncertainty in quantitative risk and policy analysis.

Nava Fuentes, J.C., Arenas Granados, P., & Cardoso Martins, F. 2018. Integrated coastal management in Campeche, Mexico; a review after the Mexican marine and coastal national policy. Ocean & Coastal Management, 154, 34 – 45 pp.

Saaty, T.L. 1977. A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234 – 281. https://doi.org/10.1016/0022-2496(77)90033-5

Saaty, T.L. 1980. The Analytic Hierarchy Process. New York, McGraw – Hill.

Saaty, T. L., & Vargas, L. G. (1991). Prediction, projection, and forecasting: applications of the analytic hierarchy process in economics, finance, politics, games, and sports. Boston: Kluwer Academic Publishers.

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