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An Exploratory Investigation of Government Air Monitoring Data after Hurricane Harvey
Southeast Texas is home to some of the largest refineries in the United States. During Hurricane Harvey, emergency shutdowns took place. In this exploratory investigation, we examine how government air monitors performed in measuring air quality in Beaumont, Texas during and in the months following...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100209/ https://www.ncbi.nlm.nih.gov/pubmed/35564954 http://dx.doi.org/10.3390/ijerph19095559 |
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author | Adair, Kwanita Miller, Shelly Gage Witvliet, Margot |
author_facet | Adair, Kwanita Miller, Shelly Gage Witvliet, Margot |
author_sort | Adair, Kwanita |
collection | PubMed |
description | Southeast Texas is home to some of the largest refineries in the United States. During Hurricane Harvey, emergency shutdowns took place. In this exploratory investigation, we examine how government air monitors performed in measuring air quality in Beaumont, Texas during and in the months following Hurricane Harvey. Texas Commission on Environmental Quality (TCEQ) data from two active air monitors in Beaumont, Texas were analyzed during the year 2017–2018. Concentrations of sulfur dioxide (SO(2)), nitric oxide (NO), oxides of nitrogen (NOx), ozone, benzene, and hydrogen sulfide (H(2)S) were investigated. The number of hours and days no data were reported by air monitors were also investigated. Yearly maximum values (MAX, all in parts per billion (ppb)) in 2017 for SO(2), NO, and NOx (53.7, 113.4, 134, respectively) and their respective standard deviations (SD: 1.3, 3.4, and 14) were higher as compared to 2018 (MAX, all in ppb and (SD) = 40.9, (1.4); 103.9, (3.3); 123.8, (14), respectively). The data capture rate for these chemicals were between 88 and 97% in both years. During the months following Hurricane Harvey (August–December 2017) there was an increase in most maximum values. The yearly averages for H(2)S were 0.68 ppb (SD 1.02) in 2017 and 0.53 ppb (SD 1.07) in 2018. Missing days were observed for both the H(2)S and NOx air monitors, with the highest number observed in 2017 (213 missing days) for the air monitor measuring H(2)S. We identified that residents of Beaumont, Texas are exposed daily to low-level concentrations of air pollutants. H(2)S is released each day at a level high enough to be smelled. Data capture rates for air monitors are not always above 90%. Improved air quality data and disaster preparations are needed in Beaumont, Texas. |
format | Online Article Text |
id | pubmed-9100209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91002092022-05-14 An Exploratory Investigation of Government Air Monitoring Data after Hurricane Harvey Adair, Kwanita Miller, Shelly Gage Witvliet, Margot Int J Environ Res Public Health Article Southeast Texas is home to some of the largest refineries in the United States. During Hurricane Harvey, emergency shutdowns took place. In this exploratory investigation, we examine how government air monitors performed in measuring air quality in Beaumont, Texas during and in the months following Hurricane Harvey. Texas Commission on Environmental Quality (TCEQ) data from two active air monitors in Beaumont, Texas were analyzed during the year 2017–2018. Concentrations of sulfur dioxide (SO(2)), nitric oxide (NO), oxides of nitrogen (NOx), ozone, benzene, and hydrogen sulfide (H(2)S) were investigated. The number of hours and days no data were reported by air monitors were also investigated. Yearly maximum values (MAX, all in parts per billion (ppb)) in 2017 for SO(2), NO, and NOx (53.7, 113.4, 134, respectively) and their respective standard deviations (SD: 1.3, 3.4, and 14) were higher as compared to 2018 (MAX, all in ppb and (SD) = 40.9, (1.4); 103.9, (3.3); 123.8, (14), respectively). The data capture rate for these chemicals were between 88 and 97% in both years. During the months following Hurricane Harvey (August–December 2017) there was an increase in most maximum values. The yearly averages for H(2)S were 0.68 ppb (SD 1.02) in 2017 and 0.53 ppb (SD 1.07) in 2018. Missing days were observed for both the H(2)S and NOx air monitors, with the highest number observed in 2017 (213 missing days) for the air monitor measuring H(2)S. We identified that residents of Beaumont, Texas are exposed daily to low-level concentrations of air pollutants. H(2)S is released each day at a level high enough to be smelled. Data capture rates for air monitors are not always above 90%. Improved air quality data and disaster preparations are needed in Beaumont, Texas. MDPI 2022-05-03 /pmc/articles/PMC9100209/ /pubmed/35564954 http://dx.doi.org/10.3390/ijerph19095559 Text en © 2022 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 Adair, Kwanita Miller, Shelly Gage Witvliet, Margot An Exploratory Investigation of Government Air Monitoring Data after Hurricane Harvey |
title | An Exploratory Investigation of Government Air Monitoring Data after Hurricane Harvey |
title_full | An Exploratory Investigation of Government Air Monitoring Data after Hurricane Harvey |
title_fullStr | An Exploratory Investigation of Government Air Monitoring Data after Hurricane Harvey |
title_full_unstemmed | An Exploratory Investigation of Government Air Monitoring Data after Hurricane Harvey |
title_short | An Exploratory Investigation of Government Air Monitoring Data after Hurricane Harvey |
title_sort | exploratory investigation of government air monitoring data after hurricane harvey |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100209/ https://www.ncbi.nlm.nih.gov/pubmed/35564954 http://dx.doi.org/10.3390/ijerph19095559 |
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