Works (4)

Updated: July 10th, 2023 21:16

2014 journal article

Comparison of Fine Particulate Matter and Carbon Monoxide Exposure Concentrations for Selected Transportation Modes

TRANSPORTATION RESEARCH RECORD, (2428), 54–62.

By: W. Jiao n & H. Frey n

UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

Comparing exposure metrics for the effects of fine particulate matter on emergency hospital admissions

JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY, 23(6), 627–636.

By: E. Mannshardt n, K. Sucic n, W. Jiao n, F. Dominici*, H. Frey n, B. Reich n, M. Fuentes

Contributors: E. Mannshardt n, K. Sucic n, W. Jiao n, F. Dominici*, H. Frey n, B. Reich n, M. Fuentes

author keywords: ambient monitoring data; CMAQ; SHEDS; PM2.5
MeSH headings : Air Pollutants / toxicity; Emergency Service, Hospital / statistics & numerical data; Environmental Exposure; Humans; Particulate Matter; Patient Admission
TL;DR: This paper investigates the sensitivity of the health effects estimates associated with short-term exposure to fine particulate matter with respect to three potential metrics for daily exposure: ambient monitor data, estimated values from a deterministic atmospheric chemistry model, and stochastic daily average human exposure simulation output. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2013 journal article

Method for Measuring the Ratio of In-Vehicle to Near-Vehicle Exposure Concentrations of Airborne Fine Particles

TRANSPORTATION RESEARCH RECORD, (2341), 34–42.

By: W. Jiao n & H. Frey n

Contributors: W. Jiao n & H. Frey n

UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2012 journal article

Assessment of Inter-Individual, Geographic, and Seasonal Variability in Estimated Human Exposure to Fine Particles

ENVIRONMENTAL SCIENCE & TECHNOLOGY, 46(22), 12519–12526.

By: W. Jiao n, H. Frey n & Y. Cao n

Contributors: W. Jiao n

MeSH headings : Aged; Air Pollutants / analysis; Cities; Computer Simulation; Environmental Monitoring / methods; Female; Humans; Inhalation Exposure; Male; Models, Theoretical; New York City; North Carolina; Particle Size; Particulate Matter / analysis; Seasons; Texas
TL;DR: Variability in E(a)/C is a key factor that may help explain heterogeneity in C-R functions across cities and seasons, as a result of regional differences in housing stock and seasonal differences in air exchange rates. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

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