Risk analysis of technological hazards: Simulation of scenarios and application of a local vulnerability index

Autores
Sanchez, Erica Yanina; Represa, Natacha Soledad; Mellado, Daniela; Balbi, Karina Beatriz; Acquesta, A. D.; Colman Lerner, Jorge Esteban; Porta, Atilio Andrés
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Centro de Investigaciones del Medioambiente
Centro de Investigación y Desarrollo en Ciencias Aplicadas
Materia
Química
Social vulnerability
Technological incident
Worst-case scenario
ALOHA
INDEC
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/137593
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/137593
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Risk analysis of technological hazards: Simulation of scenarios and application of a local vulnerability indexSanchez, Erica YaninaRepresa, Natacha SoledadMellado, DanielaBalbi, Karina BeatrizAcquesta, A. D.Colman Lerner, Jorge EstebanPorta, Atilio AndrésQuímicaSocial vulnerabilityTechnological incidentWorst-case scenarioALOHAINDECThe 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.Centro de Investigaciones del MedioambienteCentro de Investigación y Desarrollo en Ciencias Aplicadas2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf101-110http://sedici.unlp.edu.ar/handle/10915/137593enginfo:eu-repo/semantics/altIdentifier/issn/0304-3894info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jhazmat.2018.03.034info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:34:54Zoai:sedici.unlp.edu.ar:10915/137593Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:34:54.905SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Risk analysis of technological hazards: Simulation of scenarios and application of a local vulnerability index
title Risk analysis of technological hazards: Simulation of scenarios and application of a local vulnerability index
spellingShingle Risk analysis of technological hazards: Simulation of scenarios and application of a local vulnerability index
Sanchez, Erica Yanina
Química
Social vulnerability
Technological incident
Worst-case scenario
ALOHA
INDEC
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
dc.creator.none.fl_str_mv Sanchez, Erica Yanina
Represa, Natacha Soledad
Mellado, Daniela
Balbi, Karina Beatriz
Acquesta, A. D.
Colman Lerner, Jorge Esteban
Porta, Atilio Andrés
author Sanchez, Erica Yanina
author_facet Sanchez, Erica Yanina
Represa, Natacha Soledad
Mellado, Daniela
Balbi, Karina Beatriz
Acquesta, A. D.
Colman Lerner, Jorge Esteban
Porta, Atilio Andrés
author_role author
author2 Represa, Natacha Soledad
Mellado, Daniela
Balbi, Karina Beatriz
Acquesta, A. D.
Colman Lerner, Jorge Esteban
Porta, Atilio Andrés
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Química
Social vulnerability
Technological incident
Worst-case scenario
ALOHA
INDEC
topic Química
Social vulnerability
Technological incident
Worst-case scenario
ALOHA
INDEC
dc.description.none.fl_txt_mv 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.
Centro de Investigaciones del Medioambiente
Centro de Investigación y Desarrollo en Ciencias Aplicadas
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.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/137593
url http://sedici.unlp.edu.ar/handle/10915/137593
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/0304-3894
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jhazmat.2018.03.034
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
101-110
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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