Cargando…

Modeling contamination conditions in small-scale industrial areas to estimate health savings benefits associated with remediation

Mercury and dioxin pollution associated with the China Petrochemical Development Corporation's An-shun plant is one of the most severe soil contamination incidents in Taiwan's history. Residents living nearby were exposed to heavy metals and dioxins that led to significant impacts on human...

Descripción completa

Detalles Bibliográficos
Autores principales: Tseng, Chao-Heng, Chen, Ling-Ling, Yeh, Po-Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313816/
https://www.ncbi.nlm.nih.gov/pubmed/30623125
http://dx.doi.org/10.1016/j.heliyon.2018.e00995
_version_ 1783384019260407808
author Tseng, Chao-Heng
Chen, Ling-Ling
Yeh, Po-Chun
author_facet Tseng, Chao-Heng
Chen, Ling-Ling
Yeh, Po-Chun
author_sort Tseng, Chao-Heng
collection PubMed
description Mercury and dioxin pollution associated with the China Petrochemical Development Corporation's An-shun plant is one of the most severe soil contamination incidents in Taiwan's history. Residents living nearby were exposed to heavy metals and dioxins that led to significant impacts on human health and safety. While many studies related to contamination in large-scale industrial areas have been conducted to evaluate the effects of occupational contaminant exposure, studies related to people who live near small-scale industry areas are less common. In this study, we use the system dynamics modeling to build a media flow pattern for mercury and dioxin in the vicinity of the An-shun plant, simulate the concentrations of the pollutants before and after remediation, and compare the simulated values with the measurements of actual conditions after remediation to evaluate the feasibility and accuracy of the model. This study also estimated the concentration of mercury and dioxin in each food medium to simulate the daily exposure of the human body to these contaminants. Finally, the reduction in mercury and dioxin levels in the study area was used to estimate the total health benefits to the local population. The objective of this study was to evaluate the application of this methodology to small-scale industrial areas as well as improve the decision-making process before, during, and after remediation of contaminated sites. The results of this study revealed the health benefits to residents living in the Annan District after remediation was completed at the An-shun plant were significant.
format Online
Article
Text
id pubmed-6313816
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-63138162019-01-08 Modeling contamination conditions in small-scale industrial areas to estimate health savings benefits associated with remediation Tseng, Chao-Heng Chen, Ling-Ling Yeh, Po-Chun Heliyon Article Mercury and dioxin pollution associated with the China Petrochemical Development Corporation's An-shun plant is one of the most severe soil contamination incidents in Taiwan's history. Residents living nearby were exposed to heavy metals and dioxins that led to significant impacts on human health and safety. While many studies related to contamination in large-scale industrial areas have been conducted to evaluate the effects of occupational contaminant exposure, studies related to people who live near small-scale industry areas are less common. In this study, we use the system dynamics modeling to build a media flow pattern for mercury and dioxin in the vicinity of the An-shun plant, simulate the concentrations of the pollutants before and after remediation, and compare the simulated values with the measurements of actual conditions after remediation to evaluate the feasibility and accuracy of the model. This study also estimated the concentration of mercury and dioxin in each food medium to simulate the daily exposure of the human body to these contaminants. Finally, the reduction in mercury and dioxin levels in the study area was used to estimate the total health benefits to the local population. The objective of this study was to evaluate the application of this methodology to small-scale industrial areas as well as improve the decision-making process before, during, and after remediation of contaminated sites. The results of this study revealed the health benefits to residents living in the Annan District after remediation was completed at the An-shun plant were significant. Elsevier 2018-12-08 /pmc/articles/PMC6313816/ /pubmed/30623125 http://dx.doi.org/10.1016/j.heliyon.2018.e00995 Text en © 2018 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Tseng, Chao-Heng
Chen, Ling-Ling
Yeh, Po-Chun
Modeling contamination conditions in small-scale industrial areas to estimate health savings benefits associated with remediation
title Modeling contamination conditions in small-scale industrial areas to estimate health savings benefits associated with remediation
title_full Modeling contamination conditions in small-scale industrial areas to estimate health savings benefits associated with remediation
title_fullStr Modeling contamination conditions in small-scale industrial areas to estimate health savings benefits associated with remediation
title_full_unstemmed Modeling contamination conditions in small-scale industrial areas to estimate health savings benefits associated with remediation
title_short Modeling contamination conditions in small-scale industrial areas to estimate health savings benefits associated with remediation
title_sort modeling contamination conditions in small-scale industrial areas to estimate health savings benefits associated with remediation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313816/
https://www.ncbi.nlm.nih.gov/pubmed/30623125
http://dx.doi.org/10.1016/j.heliyon.2018.e00995
work_keys_str_mv AT tsengchaoheng modelingcontaminationconditionsinsmallscaleindustrialareastoestimatehealthsavingsbenefitsassociatedwithremediation
AT chenlingling modelingcontaminationconditionsinsmallscaleindustrialareastoestimatehealthsavingsbenefitsassociatedwithremediation
AT yehpochun modelingcontaminationconditionsinsmallscaleindustrialareastoestimatehealthsavingsbenefitsassociatedwithremediation