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Assessing Spatiotemporal Exposures t...

Chavez, Mayra Consuelo.

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Assessing Spatiotemporal Exposures to Transportation Pollutants in Near-Road Communities Using AERMOD.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Assessing Spatiotemporal Exposures to Transportation Pollutants in Near-Road Communities Using AERMOD./
作者:	Chavez, Mayra Consuelo.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	194 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-07, Section: B.
Contained By:	Dissertations Abstracts International81-07B.
標題:	Environmental engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27664424
ISBN:	9781392559642

Assessing Spatiotemporal Exposures to Transportation Pollutants in Near-Road Communities Using AERMOD.
Chavez, Mayra Consuelo.

Assessing Spatiotemporal Exposures to Transportation Pollutants in Near-Road Communities Using AERMOD. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 194 p.

Source: Dissertations Abstracts International, Volume: 81-07, Section: B.

Thesis (Ph.D.)--The University of Texas at El Paso, 2019.

This item must not be sold to any third party vendors.

Traffic-related air pollution has a profound impact on human health especially for residents living in near-road communities which are constantly exposed these air pollutants. A near-road community is expected to observe significant spatial and temporal variations in pollutant concentrations, as air pollution resulting from emissions from major highways decreases rapidly from the highway. This research conducted on-site traffic and air quality measurements on four critical transportations related air pollutants, PM2.5, PM10, NO2, O3, as well as emission and air dispersion modeling of transportation emission impacts in a near-road community. Using numerical models provided by the EPA, integrated with field measurements of both traffic and air quality, this research developed spatial and temporal pollutant concentration variation patterns in a near-road community using MOVES and AERMOD, EPA emissions and dispersion models. It was observed that modeled-to-monitored comparisons show that air quality impact in near-road communities resulting from traffic-related emissions are dominated by regional background concentrations. Additionally, the AERMOD predictions rendered highest concentration estimates at locations where the traffic volume is the highest and downwind of the prevailing winds. However, impacts of the traffic emissions on the air quality subside rapidly with increasing distance away from the highway, at around 200 meters. This research also apportioned the differences in exposure concentrations to background concentrations and those contributed from major highways. In the near-road community studied, traffic emissions from the highway were 4.8 times higher than the contributions made by local arterial roads. For better transportation air quality impact assessments, higher quality traffic data such as time-specific traffic volume and fleet information as well as meteorological data such as site-specific surface meteorological could help yield more accurate concentration predictions.

ISBN: 9781392559642Subjects--Topical Terms:

548583
Environmental engineering.
Subjects--Index Terms:

AERMOD

Assessing Spatiotemporal Exposures to Transportation Pollutants in Near-Road Communities Using AERMOD.
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