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A Comparative Study Characterizing T...
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Rangel, Adan.
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A Comparative Study Characterizing Traffic Related Air Pollutant Concentrations at Near-Road Communities in El Paso, Texas.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A Comparative Study Characterizing Traffic Related Air Pollutant Concentrations at Near-Road Communities in El Paso, Texas./
作者:
Rangel, Adan.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:
57 p.
附註:
Source: Masters Abstracts International, Volume: 58-01.
Contained By:
Masters Abstracts International58-01(E).
標題:
Environmental engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10931099
ISBN:
9780438355095
A Comparative Study Characterizing Traffic Related Air Pollutant Concentrations at Near-Road Communities in El Paso, Texas.
Rangel, Adan.
A Comparative Study Characterizing Traffic Related Air Pollutant Concentrations at Near-Road Communities in El Paso, Texas.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 57 p.
Source: Masters Abstracts International, Volume: 58-01.
Thesis (M.S.En.E.)--The University of Texas at El Paso, 2018.
Numerous scientific studies have demonstrated the influence of traffic related air pollution at near-road communities and the associated health risks for these populations. This study uses on-site air quality monitors to characterize air pollutants at near-road schools in El Paso, TX to understand children's exposure to traffic-related air pollutants. Ambient air monitoring stations were installed at Coldwell Elementary, Bliss Elementary, and a residential house located in close proximity to major inter-state roadways. In this study, air quality data for PM2.5, PM10, NO 2, and O3 was collected over a period of nine weeks in Fall 2018. The spatial and temporal variability in the pollutant concentrations in this region was assessed by comparing air quality data obtained from the study with central ambient monitoring sites. All on-site monitors recorded similar trends in measured pollutant across all examined sites. Higher concentrations of PM10 were recorded at Bliss Elementary. Spearman correlations, coefficient of divergence, and diurnal graphs help to characterize the differences in the pollutant levels between these sites. The results suggest a spatial and temporal variability between the sites examined and available CAMS sites. It is recommended that studies performed in El Paso employ on-site measurements to avoid exposure misclassification and erroneous estimations from using distant CAMS sites.
ISBN: 9780438355095Subjects--Topical Terms:
548583
Environmental engineering.
A Comparative Study Characterizing Traffic Related Air Pollutant Concentrations at Near-Road Communities in El Paso, Texas.
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Numerous scientific studies have demonstrated the influence of traffic related air pollution at near-road communities and the associated health risks for these populations. This study uses on-site air quality monitors to characterize air pollutants at near-road schools in El Paso, TX to understand children's exposure to traffic-related air pollutants. Ambient air monitoring stations were installed at Coldwell Elementary, Bliss Elementary, and a residential house located in close proximity to major inter-state roadways. In this study, air quality data for PM2.5, PM10, NO 2, and O3 was collected over a period of nine weeks in Fall 2018. The spatial and temporal variability in the pollutant concentrations in this region was assessed by comparing air quality data obtained from the study with central ambient monitoring sites. All on-site monitors recorded similar trends in measured pollutant across all examined sites. Higher concentrations of PM10 were recorded at Bliss Elementary. Spearman correlations, coefficient of divergence, and diurnal graphs help to characterize the differences in the pollutant levels between these sites. The results suggest a spatial and temporal variability between the sites examined and available CAMS sites. It is recommended that studies performed in El Paso employ on-site measurements to avoid exposure misclassification and erroneous estimations from using distant CAMS sites.
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