Vulnerability to Earthquake Hazard: Bucharest Case Study, Romania
| Autor: | Radu Ionescu, Iuliana Armaş, Dragos Toma-Danila, Alexandru Gavriş |
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| Rok vydání: | 2017 |
| Předmět: |
Vulnerability index
010504 meteorology & atmospheric sciences lcsh:Disasters and engineering Geography Planning and Development 0211 other engineering and technologies Vulnerability 02 engineering and technology Management Monitoring Policy and Law 01 natural sciences Civil engineering Earthquake scenario Seismic risk Natural hazard media_common.cataloged_instance European union Robustness (economics) 0105 earth and related environmental sciences media_common Sustainable development 021110 strategic defence & security studies Global and Planetary Change Romania business.industry Environmental resource management lcsh:TA495 Spatial multicriteria analysis Seismic hazard Geography Bucharest Seismic loss estimation business Safety Research |
| Zdroj: | International Journal of Disaster Risk Science, Vol 8, Iss 2, Pp 182-195 (2017) |
| ISSN: | 2192-6395 2095-0055 |
| DOI: | 10.1007/s13753-017-0132-y |
| Popis: | Recent seismic events show that urban areas are increasingly vulnerable to seismic damage, which leads to unprecedented levels of risk. Cities are complex systems and as such their analysis requires a good understanding of the interactions between space and the socioeconomic variables characteristic of the inhabitants of urban space. There is a clear need to develop and test detailed models that describe the behavior of these interactions under seismic impact. This article develops an overall vulnerability index to seismic hazard based on a spatial approach applied to Bucharest, Romania, the most earthquake-prone capital in the European Union. The methodology relies on: (1) spatial post-processed socioeconomic data from the 2011 Romanian census through multicriteria analysis; and (2) analytical methods (the Improved Displacement Coefficient Method and custom-defined vulnerability functions) for estimating damage patterns, incorporated in a GIS environment. We computed vulnerability indices for the 128 census tracts of the city. Model sensitivity assessment tested the robustness of spatially identified patterns of building vulnerability in the face of uncertainty in model inputs. The results show that useful seismic vulnerability indices can be obtained through interdisciplinary approaches that enhance less detailed datasets, which leads lead to better targeted mitigation efforts. |
| Databáze: | OpenAIRE |
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