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Multidimensional Urban Exposure Analysis of Industrial Chemical Risk Scenarios in Mexican Metropolitan Areas
Risk scenarios are caused by the convergence of a hazard with a potentially affected system in a specific place and time. One urban planning goal is to prevent environmental hazards, such as those generated by chemical accidents, from reaching human settlements, as they can cause public health issue...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198818/ https://www.ncbi.nlm.nih.gov/pubmed/34073178 http://dx.doi.org/10.3390/ijerph18115674 |
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author | Ortega Montoya, Claudia Yazmin López-Pérez, Andrés Osvaldo Ugalde Monzalvo, Marisol Ruvalcaba Sánchez, Ma. Loecelia Guadalupe |
author_facet | Ortega Montoya, Claudia Yazmin López-Pérez, Andrés Osvaldo Ugalde Monzalvo, Marisol Ruvalcaba Sánchez, Ma. Loecelia Guadalupe |
author_sort | Ortega Montoya, Claudia Yazmin |
collection | PubMed |
description | Risk scenarios are caused by the convergence of a hazard with a potentially affected system in a specific place and time. One urban planning goal is to prevent environmental hazards, such as those generated by chemical accidents, from reaching human settlements, as they can cause public health issues. However, in many developing countries, due to their strategic positioning in global value chains, the quick and easy access to labor pools, and competitive production costs, urban sprawls have engulfed industrial areas, exposing residential conurbations to environmental hazards. This case study analyzes the spatial configuration of accidental chemical risk scenarios in three major Mexican metropolitan areas: Mexico City, Guadalajara, and Monterrey. Spatial analyses use an areal locations of hazardous atmosphere (ALOHA) dispersion model to represent the spatial effects of high-risk industrial activities in conurbations and the potentially affected populations vulnerable to chemical hazards. Complementary geostatistical correlation analyses use population data, marginalization indexes, and industrial clustering sectors to identify trends that can lead to comprehensive environmental justice approaches. In addition, the marginalization degree of inhabitants evaluates social inequalities concerning chemical risk scenarios. |
format | Online Article Text |
id | pubmed-8198818 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81988182021-06-14 Multidimensional Urban Exposure Analysis of Industrial Chemical Risk Scenarios in Mexican Metropolitan Areas Ortega Montoya, Claudia Yazmin López-Pérez, Andrés Osvaldo Ugalde Monzalvo, Marisol Ruvalcaba Sánchez, Ma. Loecelia Guadalupe Int J Environ Res Public Health Article Risk scenarios are caused by the convergence of a hazard with a potentially affected system in a specific place and time. One urban planning goal is to prevent environmental hazards, such as those generated by chemical accidents, from reaching human settlements, as they can cause public health issues. However, in many developing countries, due to their strategic positioning in global value chains, the quick and easy access to labor pools, and competitive production costs, urban sprawls have engulfed industrial areas, exposing residential conurbations to environmental hazards. This case study analyzes the spatial configuration of accidental chemical risk scenarios in three major Mexican metropolitan areas: Mexico City, Guadalajara, and Monterrey. Spatial analyses use an areal locations of hazardous atmosphere (ALOHA) dispersion model to represent the spatial effects of high-risk industrial activities in conurbations and the potentially affected populations vulnerable to chemical hazards. Complementary geostatistical correlation analyses use population data, marginalization indexes, and industrial clustering sectors to identify trends that can lead to comprehensive environmental justice approaches. In addition, the marginalization degree of inhabitants evaluates social inequalities concerning chemical risk scenarios. MDPI 2021-05-26 /pmc/articles/PMC8198818/ /pubmed/34073178 http://dx.doi.org/10.3390/ijerph18115674 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ortega Montoya, Claudia Yazmin López-Pérez, Andrés Osvaldo Ugalde Monzalvo, Marisol Ruvalcaba Sánchez, Ma. Loecelia Guadalupe Multidimensional Urban Exposure Analysis of Industrial Chemical Risk Scenarios in Mexican Metropolitan Areas |
title | Multidimensional Urban Exposure Analysis of Industrial Chemical Risk Scenarios in Mexican Metropolitan Areas |
title_full | Multidimensional Urban Exposure Analysis of Industrial Chemical Risk Scenarios in Mexican Metropolitan Areas |
title_fullStr | Multidimensional Urban Exposure Analysis of Industrial Chemical Risk Scenarios in Mexican Metropolitan Areas |
title_full_unstemmed | Multidimensional Urban Exposure Analysis of Industrial Chemical Risk Scenarios in Mexican Metropolitan Areas |
title_short | Multidimensional Urban Exposure Analysis of Industrial Chemical Risk Scenarios in Mexican Metropolitan Areas |
title_sort | multidimensional urban exposure analysis of industrial chemical risk scenarios in mexican metropolitan areas |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198818/ https://www.ncbi.nlm.nih.gov/pubmed/34073178 http://dx.doi.org/10.3390/ijerph18115674 |
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