Air Pollution

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Special Report 19
HEI Diesel Epidemiology Panel
November 2015

Special Report 19 contains the intensive review and analysis of the newest studies of mine and truck workers exposed to older diesel engine exhaust conducted by an Expert Panel appointed by the HEI Board of Directors. In its report, HEI's Diesel Epidemiology Panel concluded that the studies are well prepared and are useful for applying the data to calculate the cancer risk due to exposure to diesel exhaust.

Health Effects Institute
August 2015

This issue reports on the publication of an Executive Summary highlighting ACES new-technology diesel results, which describes significant improvements in new diesel engines; a conference showcasing HEI science and emerging research opportunities; interest worldwide in ACES findings; how HEI staff are communicating results; the status of the oil and gas research agenda being drafted by HEI; and the status of the MOSES testing of ozone study subjects.

Research Report 183, Parts 1 and 2
Brent A Coull
et al.
Eun Sug Park
et al.
June 2015

This report contains two studies, by Drs. Brent A Coull and Eun Sug Park and their colleagues, and a Commentary discussing each study individually, as well as an Integrative Discussion of the two. 
Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution ConstituentsBrent A. Coull et al.
Part 2. Development of Enhanced Statistical Methods for Assessing Health Effects Associated with an Unknown Number of Major Sources of Multiple Air Pollutants. Eun Sug Park et al. 

Unpublished Report
Fern Tablin
Lisa Miller
Philip Kass
June 2015

This unpublished report describes a two-year study to evaluate the effect of exposure to particulate matter and ozone on immune function in nonhuman primates (infant rhesus macaques) during early life. The investigators conducted a panel study that took advantage of "natural" exposures in the outdoor nonhuman primate colony maintained at the California National Primate Center, a research unit of the University of California–Davis.

Research Report 184
Jacob D McDonald
Jeffrey C Bemis
Lance M Hallberg
Daniel J Conklin
January 2015

This report describes four studies conducted as a single phase (Phase 3B) of HEI's Advanced Collaborative Emissions Study (ACES) program, which was designed to evaluate the emissions and health changes resulting from substantially improved diesel engines required under the U.S. EPA 2007–2010 Heavy Duty Diesel Rule. These studies were conducted by Drs. Jacob D. McDonald of the Lovelace Respiratory Research Institute, Albuquerque, New Mexico, Jeffrey C. Bemis of Litron Laboratories, Rochester, New York, Lance M. Hallberg of the University of Texas Medical Branch, Galveston, Texas, and Daniel J. Conklin, University of Louisville, Kentucky.

Research Report 181
Stuart Batterman
Feng-Chiao Su
Shi Li
Bhramar Mukherjee
Chunrong Jia
June 2014

This report describes a study to identify factors that influence exposure to volatile organic compounds (VOCs) and VOC mixtures. Dr. Stuart Batterman at the University of Michigan–Ann Arbor and colleagues used the extensive data that HEI posted on the Web from the Relationships of Indoor, Outdoor, and Personal Air (RIOPA) study (HEI Research Report 130 Parts I and II), and data from the National Health and Nutrition Examination Survey (NHANES), to characterize exposure distributions for 15 VOCs, with an emphasis on high concentrations. Factors examined included geographic location, weather, characteristics of participants' homes, and specific activities, such as pumping gas.

Research Report 179
Charles O Stanier
Sang-Rin Lee
June 2014

This report describes a study in which a model to simulate the dispersion of ultrafine particles near roadways was developed and tested. Understanding what happens to ultrafines near roadways – and how that influences exposure – is a key area that HEI's Perspectives 3 on ultrafines (2013) identified. Dr. Charles Stanier at the University of Iowa–Iowa City, a recipient of HEI's Walter A.

Research Report 177
Morton Lippmann
Lung Chi Chen
Terry Gordon
Kazuhiko Ito
George D Thurston
October 2013

This report describes the results of a study of long-term effects of PM components in the American Cancer Society's Cancer Prevention Study II cohort; a time-series study of short-term effects of PM components on cardiovascular and other diseases in people living in 150 U.S. cities; and two toxicologic studies in animals exposed by inhalation to concentrated ambient particles, and in animals and human cells exposed to particles collected on filters from five different airsheds across the United States. This report, along with Research Report 178 (Vedal et al.), is one of HEI's National Particle Component Toxicity (NPACT) studies, which describe the most systematic multidisciplinary studies to date to investigate the health effects of PM components in humans and animal models at locations across the United States where the effects of PM sources and components may differ. The report includes a Commentary and a Synthesis by the NPACT Review Panel.

Research Report 173
Murray V Johnston
Joseph P Klems
Christopher A Zordan
M Ross Pennington
James N Smith
February 2013

This report describes a study in which a nano aerosol mass spectrometer (NAMS) was used to study composition of nanoparticles in real time near a major roadway intersection. Dr. Murray V. Johnston of the University of Delaware, Newark, and colleagues conducted a field test in Wilmington, Delaware, to evaluate performance of the instrument in a real-world setting and to assess whether it could aid in identifying the major source contributions to nanoparticle spikes and background levels, including distinguishing diesel from gasoline vehicles.

Research Report 168
Richard D Morgenstern
Winston Harrington
Jhih-Shyang Shih
Michelle L Bell
November 2012

This report describes a study that analyzed the relationships between reductions in pollutants from power plants and fine particulate matter (PM2.5) concentrations in the eastern United States between 1999 and 2005. Dr. Richard D. Morgenstern of Resources for the Future and colleagues used a novel data-driven source-receptor model to explore the statistical relationships between source emissions of sulfur dioxide (SO2) and nitrogen oxides and monitored concentrations of PM2.5. They performed various external comparisons of their models, and compared the reductions to an estimated counterfactual scenario in which no mandated reductions in SO2 occurred.