Investigations of the proximity effect for pollutants in the indoor environment

被引:66
|
作者
McBride, SJ [1 ]
Ferro, AR [1 ]
Ott, WR [1 ]
Switzer, P [1 ]
Hildemann, LM [1 ]
机构
[1] Stanford Univ, Dept Stat, Stanford, CA 94305 USA
来源
JOURNAL OF EXPOSURE ANALYSIS AND ENVIRONMENTAL EPIDEMIOLOGY | 1999年 / 9卷 / 06期
基金
美国国家科学基金会;
关键词
exposure; indoor air quality; indoor modeling; particles; proximity effect; real-time measurement methods;
D O I
10.1038/sj.jea.7500057
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
More than a dozen indoor air quality studies have reported a large discrepancy between concentrations measured by stationary indoor monitors (SIMs) and personal exposure monitors (PEMs). One possible cause of this discrepancy is a source proximity effect, in which pollutant sources close to the respondent cause elevated and highly variable exposures. This paper describes three sets of experiments in a home using real-time measurements to characterize and quantify the proximity effect relative to a fixed distant location analogous to a SIM. In the first set of experiments, using sulfur hexafluoride (SF6) as a continuously emitting tracer pollutant From a point source, measurements of pollutant concentrations were made at different distances from the source under different air exchange rates and source strengths. A second set of experiments used a continuous point source of carbon monoxide (CO) tracer pollutant and an army of high time resolution monitors to collect simultaneous concentration readings at different locations in the room. A third set of experiments measured particle count density and particle-bound polycyclic aromatic hydrocarbon (PAH) concentrations emitted from a continuous particle point source tan incense stick) using two particle counters and two PAH monitors, and included human activity periods both before and during the source emission period. Results from the SF6 and CO experiments show that while the source is emitting, a source proximity effect can be seen in the increases in the mean and median and in the variability of concentrations closest to the source, even at a distance of 2.0 m from the source under certain settings of air exchange rate and source strength. CO concentrations at locations near the source were found to be higher and more variable than the predictions of the mass balance model. For particles emitted from the incense source, a source proximity effect was evident for the fine particle sizes (0.3 to 2.5 mu m) and particle-bound PAH up to at least 1.0 m from the source. Analysis of spatial and temporal patterns in the data for the three tracer pollutants reveal marked transient elevations of concentrations as seen by the monitor, referred to as "microplumes," particularly at locations close to the source. Mixing patterns in the room show complex patterns and directional effects, as evidenced by the variable intensity of the microplume activity at different locations. By characterizing the spatial and temporal variability of pollutant concentrations in the home, the proximity effect can be quantified, leading to improved indoor monitoring designs and models of human exposure to air pollutants.
引用
收藏
页码:602 / 621
页数:20
相关论文
共 50 条
  • [31] Microbes to clean indoor pollutants
    Boga, Carla
    Del Vecchio, Erminia
    Forlani, Luciano
    Franceschetti, Mario
    ENVIRONMENTAL CHEMISTRY LETTERS, 2014, 12 (03) : 429 - 434
  • [32] Measuring the effect of photocatalytic purifiers on indoor air hydrocarbons and carbonyl pollutants
    Disdier, J
    Pichat, P
    Mas, D
    JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2005, 55 (01) : 88 - 96
  • [33] Microbes to clean indoor pollutants
    Carla Boga
    Erminia Del Vecchio
    Luciano Forlani
    Mario Franceschetti
    Environmental Chemistry Letters, 2014, 12 : 429 - 434
  • [34] HEALTH RISKS OF INDOOR POLLUTANTS
    BURGE, HA
    HODGSON, M
    ASHRAE JOURNAL-AMERICAN SOCIETY OF HEATING REFRIGERATING AND AIR-CONDITIONING ENGINEERS, 1988, 30 (07): : 34 - &
  • [35] SARS-CoV-2 indoor environment contamination with epidemiological and experimental investigations
    Oksanen, Lotta-Maria A. H.
    Virtanen, Jenni
    Sanmark, Enni
    Rantanen, Noora
    Venkat, Vinaya
    Sofieva, Svetlana
    Aaltonen, Kirsi
    Kivisto, Ilkka
    Svirskaite, Julija
    Perez, Aurora Diaz
    Kuula, Joel
    Levanov, Lev
    Hyvarinen, Antti-Pekka
    Maunula, Leena
    Atanasova, Nina S.
    Laitinen, Sirpa
    Anttila, Veli-Jukka
    Lehtonen, Lasse
    Lappalainen, Maija
    Geneid, Ahmed
    Sironen, Tarja
    INDOOR AIR, 2022, 32 (10)
  • [36] Tools to improve built environment data collection for indoor microbial ecology investigations
    Ramos, Tiffanie
    Stephens, Brent
    BUILDING AND ENVIRONMENT, 2014, 81 : 243 - 257
  • [37] Tools to improve built environment data collection for indoor microbial ecology investigations
    Department of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, Chicago
    IL, United States
    Build. Environ., (243-257):
  • [38] INVESTIGATIONS OF THE EXPOSURE INTENSITY DISTRIBUTION AND ITS APPLICATION TO PROXIMITY EFFECT CORRECTION
    NAKATA, H
    KATO, T
    MURATA, K
    NAGAMI, K
    JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 1980, 127 (03) : C105 - C106
  • [39] The effect of proximity to major roads on indoor air quality in typical Australian dwellings
    Lawson, Sarah J.
    Galbally, Ian E.
    Powell, Jennifer C.
    Keywood, Melita D.
    Molloy, Suzie B.
    Cheng, Min
    Selleck, Paul W.
    ATMOSPHERIC ENVIRONMENT, 2011, 45 (13) : 2252 - 2259
  • [40] Analysis of Indoor Air Pollutants from Elementary School Classrooms with Different Environment in Ulsan, Korea
    Lee, Chi-Hyeon
    Lee, Byeong-Kyu
    Kim, Yang-Ho
    Lee, Ji-Ho
    Oh, In-Bo
    JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2011, 27 (01) : 97 - 116