Literature DB >> 30246054

A multipollutant evaluation of APEX using microenvironmental ozone, carbon monoxide, and particulate matter (PM2.5) concentrations measured in Los Angeles by the exposure classification project.

Ted R Johnson1, John E Langstaff2, Stephen Graham2, Eric M Fujita3, David E Campbell3.   

Abstract

This paper describes an operational evaluation of the US Environmental Protection Agency's (EPA) Air Pollution Exposure Model (APEX). APEX simulations for a multipollutant ambient air mixture, i.e. ozone (O3), carbon monoxide (CO), and particulate matter 2.5 microns in diameter or less (PM2.5), were performed for two seasons in three study areas in central Los Angeles. APEX predicted microenvironmental concentrations were compared with concentrations of these three pollutants monitored in the Exposure Classification Project (ECP) study during the same periods. The ECP was designed expressly for evaluating exposure models and measured concentrations inside and outside 40 microenvironments. This evaluation study identifies important uncertainties in APEX inputs and model predictions useful for guiding further exposure model input data and algorithm development efforts. This paper also presents summaries of the concentrations in the different microenvironments.

Entities:  

Keywords:  Environment & Health; Environmental Sciences; Pollution; carbon monoxide; microenvironment measurements; multipollutant exposure model; ozone; particulate matter

Year:  2018        PMID: 30246054      PMCID: PMC6145485          DOI: 10.1080/23311843.2018.1453022

Source DB:  PubMed          Journal:  Cogent Environ Sci        ISSN: 2331-1843


  18 in total

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Authors:  Michael S Breen; Thomas C Long; Bradley D Schultz; Ronald W Williams; Jennifer Richmond-Bryant; Miyuki Breen; John E Langstaff; Robert B Devlin; Alexandra Schneider; Janet M Burke; Stuart A Batterman; Qing Yu Meng
Journal:  Environ Sci Technol       Date:  2015-11-12       Impact factor: 9.028

4.  Characterization of fine particulate matter in Ohio: indoor, outdoor, and personal exposures.

Authors:  Kevin C Crist; Bian Liu; Myoungwoo Kim; Seemantini R Deshpande; Kuruvilla John
Journal:  Environ Res       Date:  2007-08-31       Impact factor: 6.498

Review 5.  The microenvironmental modelling approach to assess children's exposure to air pollution - A review.

Authors:  P T B S Branco; M C M Alvim-Ferraz; F G Martins; S I V Sousa
Journal:  Environ Res       Date:  2014-10-22       Impact factor: 6.498

6.  London Hybrid Exposure Model: Improving Human Exposure Estimates to NO2 and PM2.5 in an Urban Setting.

Authors:  James David Smith; Christina Mitsakou; Nutthida Kitwiroon; Ben M Barratt; Heather A Walton; Jonathon G Taylor; Hugh Ross Anderson; Frank J Kelly; Sean D Beevers
Journal:  Environ Sci Technol       Date:  2016-10-21       Impact factor: 9.028

7.  A population exposure model for particulate matter: case study results for PM(2.5) in Philadelphia, PA.

Authors:  J M Burke; M J Zufall; H Ozkaynak
Journal:  J Expo Anal Environ Epidemiol       Date:  2001 Nov-Dec

8.  The national exposure research laboratory's consolidated human activity database.

Authors:  T McCurdy; G Glen; L Smith; Y Lakkadi
Journal:  J Expo Anal Environ Epidemiol       Date:  2000 Nov-Dec

9.  Ozone in indoor environments: concentration and chemistry.

Authors:  C J Weschler
Journal:  Indoor Air       Date:  2000-12       Impact factor: 5.770

10.  Modeling the residential infiltration of outdoor PM(2.5) in the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air).

Authors:  Ryan W Allen; Sara D Adar; Ed Avol; Martin Cohen; Cynthia L Curl; Timothy Larson; L-J Sally Liu; Lianne Sheppard; Joel D Kaufman
Journal:  Environ Health Perspect       Date:  2012-02-22       Impact factor: 9.031

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