Disaster risk reduction: a decision-making support tool based on the morphological analysis
| Autor: | Nieves Lantada, M. L. Carreño, Nayive Jaramillo |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental, Universitat Politècnica de Catalunya. EGEO - Enginyeria Geomàtica, Universitat Politècnica de Catalunya. RMEE - Grup de Resistència de Materials i Estructures en l'Enginyeria |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Morphological analysis
Disaster Risk Management Engineering Civil Hazard mitigation 010504 meteorology & atmospheric sciences Disaster risk reduction Computer science media_common.quotation_subject 0211 other engineering and technologies Engineering Multidisciplinary 02 engineering and technology Enginyeria civil::Geologia::Riscos geològics [Àrees temàtiques de la UPC] 01 natural sciences Decision-making support tool Natural hazard Engineering Ocean Seismic risk Aggravating Factor Engineering Aerospace Engineering Biomedical Risk management 0105 earth and related environmental sciences media_common 021110 strategic defence & security studies business.industry Geology Geotechnical Engineering and Engineering Geology Computer Science Software Engineering Engineering Marine Engineering Manufacturing Engineering Mechanical Identification (information) Risk analysis (engineering) DRM strategies Engineering Industrial Risk reduction Damages Avaluació del risc Psychological resilience business Safety Research |
| Zdroj: | Scipedia Open Access Scipedia SL Recercat. Dipósit de la Recerca de Catalunya instname UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Popis: | Risk management due to natural hazards is a multidimensional and complex problem since it requires the knowledge and experience of several disciplines. The effectiveness of risk management can be analyzed, inviting to the action through weakness identification of the urban area. This article proposes a methodology based on the morphological analysis to support the decision-making on disaster risk management, taking as a starting point the results of a holistic evaluation of the seismic risk. The results of the holistic evaluation of risk are achieved aggravating the physical risk using the contextual conditions, such as the socio-economic fragility and the lack of resilience. In consequence, the risk mitigation can be performed through the reduction of the potential damage and consequences involved; and the improvement of social conditions. The proposed methodology allows prioritizing the risk reduction strategies according to i) performance level of component indicators involved into the Disaster Risk Management index, D R M i ; ii) physical risk factors dependent from the potential damages, and iii) aggravating factors involved in the aggravating coefficient. Moreover, it involves 35 strategies to reduce the physical risk and the aggravating social conditions of the urban area. The proposed methodology has been applied to the city of Merida (Venezuela), located within an area of high seismic activity. The performance level of the indicators involved in the D R M i was evaluated by a survey to local experts. As a result, eleven strategies have been identified to reduce the potential damage and to improve the social conditions of this city. |
| Databáze: | OpenAIRE |
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