Risk analysis of technological hazards: Simulation of scenarios and application of a local vulnerability index
The potential impact of a technological accident can be assessed by risk estimation. Taking this into account, the latent or potential condition can be warned and mitigated. In this work we propose a methodology to estimate risk of technological hazards, focused on two components. The first one is t...
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Autores principales: | , , , , , , |
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Formato: | Articulo |
Lenguaje: | Inglés |
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2018
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/137593 |
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I19-R120-10915-137593 |
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institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
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SEDICI (UNLP) |
language |
Inglés |
topic |
Química Social vulnerability Technological incident Worst-case scenario ALOHA INDEC |
spellingShingle |
Química Social vulnerability Technological incident Worst-case scenario ALOHA INDEC Sanchez, Erica Yanina Represa, Natacha Soledad Mellado, Daniela Balbi, Karina Beatriz Acquesta, A. D. Colman Lerner, Jorge Esteban Porta, Atilio Andrés Risk analysis of technological hazards: Simulation of scenarios and application of a local vulnerability index |
topic_facet |
Química Social vulnerability Technological incident Worst-case scenario ALOHA INDEC |
description |
The potential impact of a technological accident can be assessed by risk estimation. Taking this into account, the latent or potential condition can be warned and mitigated. In this work we propose a methodology to estimate risk of technological hazards, focused on two components. The first one is the processing of meteorological databases to define the most probably and conservative scenario of study, and the second one, is the application of a local social vulnerability index to classify the population. In this case of study, the risk was estimated for a hypothetical release of liquefied ammonia in a meat-packing industry in the city of La Plata, Argentina. The method consists in integrating the simulated toxic threat zone with ALOHA software, and the layer of sociodemographic classification of the affected population. The results show the areas associated with higher risks of exposure to ammonia, which are worth being addressed for the prevention of disasters in the region. Advantageously, this systemic approach is methodologically flexible as it provides the possibility of being applied in various scenarios based on the available information of both, the exposed population and its meteorology. Furthermore, this methodology optimizes the processing of the input data and its calculation. |
format |
Articulo Articulo |
author |
Sanchez, Erica Yanina Represa, Natacha Soledad Mellado, Daniela Balbi, Karina Beatriz Acquesta, A. D. Colman Lerner, Jorge Esteban Porta, Atilio Andrés |
author_facet |
Sanchez, Erica Yanina Represa, Natacha Soledad Mellado, Daniela Balbi, Karina Beatriz Acquesta, A. D. Colman Lerner, Jorge Esteban Porta, Atilio Andrés |
author_sort |
Sanchez, Erica Yanina |
title |
Risk analysis of technological hazards: Simulation of scenarios and application of a local vulnerability index |
title_short |
Risk analysis of technological hazards: Simulation of scenarios and application of a local vulnerability index |
title_full |
Risk analysis of technological hazards: Simulation of scenarios and application of a local vulnerability index |
title_fullStr |
Risk analysis of technological hazards: Simulation of scenarios and application of a local vulnerability index |
title_full_unstemmed |
Risk analysis of technological hazards: Simulation of scenarios and application of a local vulnerability index |
title_sort |
risk analysis of technological hazards: simulation of scenarios and application of a local vulnerability index |
publishDate |
2018 |
url |
http://sedici.unlp.edu.ar/handle/10915/137593 |
work_keys_str_mv |
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bdutipo_str |
Repositorios |
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1764820457172762627 |