Modelo para la gestión del riesgo en desastres meteorológicos. Análisis y gestión de sus efectos en edificación

  1. Rubio Gómez-Torga, Juan
Dirigée par:
  1. David Marín García Directeur/trice
  2. Juan José Moyano Campos Directeur/trice

Université de défendre: Universidad de Sevilla

Fecha de defensa: 27 septembre 2017

Jury:
  1. Rafael Lucas Ruiz President
  2. Madelyn Marrero Meléndez Secrétaire
  3. Mercedes Valiente López Rapporteur
  4. Inmaculada Sánchez Ruiz de Valdivia Rapporteur
  5. Antonio Miguel Trallero Sanz Rapporteur

Type: Thèses

Teseo: 569776 DIALNET lock_openIdus editor

Résumé

The European Union and civil society are very concerned about the frequency of floodrelated casualties and how they affect the urban environment and the economic losses that this entails. Together with climate change and population growth, it is one of the main problems facing the world today. This thesis presents a global approach to floods and their characteristics to examine the direct damages caused to buildings and their urban environment, to obtain a concrete result of its consequences. We need to investigate this type of meteorological disasters and how they affect certain building typologies. Following the results of statistical analyzes with public, private and insurance entities specializing in frequent flood damage claims, it is intended to establish a preventive model of the most likely consequences and to provide recommendations on how certain elements should be designed and materialized, as well as to create A potential flood risk management tool for a building, the characteristics it presents and its typology, and how they are reproduced in it. As an applicability to the risk management model, a series of cases focused on the province of Seville have been taken, yielding results that have to do with the transfer of the knowledge of the analyzed sector. In view of the situation, results have been obtained of the complaints of the most frequent anomalies and damages in the infrastructures and buildings. With these data, in sectors with medium-high risk of floods, we will obtain the necessary knowledge for flood management and proposals for measures to minimize damages.