Literature DB >> 26512925

Applications of GPS-tracked personal and fixed-location PM(2.5) continuous exposure monitoring.

Chantel D Sloan1, Tyler J Philipp1, Rebecca K Bradshaw1, Sara Chronister1, W Bradford Barber1, James D Johnston1.   

Abstract

UNLABELLED: Continued development of personal air pollution monitors is rapidly improving government and research capabilities for data collection. In this study, we tested the feasibility of using GPS-enabled personal exposure monitors to collect personal exposure readings and short-term daily PM2.5 measures at 15 fixed locations throughout a community. The goals were to determine the accuracy of fixed-location monitoring for approximating individual exposures compared to a centralized outdoor air pollution monitor, and to test the utility of two different personal monitors, the RTI MicroPEM V3.2 and TSI SidePak AM510. For personal samples, 24-hr mean PM2.5 concentrations were 6.93 μg/m³ (stderr = 0.15) and 8.47 μg/m³ (stderr = 0.10) for the MicroPEM and SidePak, respectively. Based on time-activity patterns from participant journals, exposures were highest while participants were outdoors (MicroPEM = 7.61 µg/m³, stderr = 1.08, SidePak = 11.85 µg/m³, stderr = 0.83) or in restaurants (MicroPEM = 7.48 µg/m³, stderr = 0.39, SidePak = 24.93 µg/m³, stderr = 0.82), and lowest when participants were exercising indoors (MicroPEM = 4.78 µg/m³, stderr = 0.23, SidePak = 5.63 µg/m³, stderr = 0.08). Mean PM(2.5) at the 15 fixed locations, as measured by the SidePak, ranged from 4.71 µg/m³ (stderr = 0.23) to 12.38 µg/m³ (stderr = 0.45). By comparison, mean 24-h PM(2.5) measured at the centralized outdoor monitor ranged from 2.7 to 6.7 µg/m³ during the study period. The range of average PM(2.5) exposure levels estimated for each participant using the interpolated fixed-location data was 2.83 to 19.26 µg/m³ (mean = 8.3, stderr = 1.4). These estimated levels were compared with average exposure from personal samples. The fixed-location monitoring strategy was useful in identifying high air pollution microclimates throughout the county. For 7 of 10 subjects, the fixed-location monitoring strategy more closely approximated individuals' 24-hr breathing zone exposures than did the centralized outdoor monitor. Highlights are: Individual PM(2.5) exposure levels vary extensively by activity, location and time of day; fixed-location sampling more closely approximated individual exposures than a centralized outdoor monitor; and small, personal exposure monitors provide added utility for individuals, researchers, and public health professionals seeking to more accurately identify air pollution microclimates. IMPLICATIONS: Personal air pollution monitoring technology is advancing rapidly. Currently, personal monitors are primarily used in research settings, but could they also support government networks of centralized outdoor monitors? In this study, we found differences in performance and practicality for two personal monitors in different monitoring scenarios. We also found that personal monitors used to collect outdoor area samples were effective at finding pollution microclimates, and more closely approximated actual individual exposure than a central monitor. Though more research is needed, there is strong potential that personal exposure monitors can improve existing monitoring networks.

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Year:  2016        PMID: 26512925     DOI: 10.1080/10962247.2015.1108942

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  10 in total

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Authors:  Haoxiang Cheng; Liping Wang; Dongbin Wang; Jushan Zhang; Long Cheng; Pengfei Yao; Zhongyang Zhang; Antonio Di Narzo; Yuan Shen; Jing Yu; Changhui Wang; Lihong Fan; Jianwei Lu; Jingkun Jiang; Ke Hao
Journal:  Ecotoxicol Environ Saf       Date:  2018-11-28       Impact factor: 6.291

2.  Combining sensor-based measurement and modeling of PM2.5 and black carbon in assessing exposure to indoor aerosols.

Authors:  Jennie Cox; Seung-Hyun Cho; Patrick Ryan; Kelechi Isiugo; James Ross; Steven Chillrud; Zheng Zhu; Roman Jandarov; Sergey A Grinshpun; Tiina Reponen
Journal:  Aerosol Sci Technol       Date:  2019-05-06       Impact factor: 2.908

3.  Differences in Fine Particle Exposure and Estimated Pulmonary Ventilation Rate with Respect to Work Tasks of Wildland Firefighters at Prescribed Burns: A Repeated Measures Study.

Authors:  Anna M Adetona; Olorunfemi Adetona; Ryan T Chartier; Michael H Paulsen; Christopher D Simpson; Stephen L Rathbun; Luke P Naeher
Journal:  Ann Work Expo Health       Date:  2022-10-11       Impact factor: 2.779

4.  Development of an in-home, real-time air pollutant sensor platform and implications for community use.

Authors:  Sara E Gillooly; Yulun Zhou; Jose Vallarino; MyDzung T Chu; Drew R Michanowicz; Jonathan I Levy; Gary Adamkiewicz
Journal:  Environ Pollut       Date:  2018-10-15       Impact factor: 8.071

5.  Development of an approach to correcting MicroPEM baseline drift.

Authors:  Ting Zhang; Steven N Chillrud; Masha Pitiranggon; James Ross; Junfeng Ji; Beizhan Yan
Journal:  Environ Res       Date:  2018-02-22       Impact factor: 6.498

6.  Validation of a light-scattering PM2.5 sensor monitor based on the long-term gravimetric measurements in field tests.

Authors:  Jingjin Shi; Fei'er Chen; Yunfei Cai; Shichen Fan; Jing Cai; Renjie Chen; Haidong Kan; Yihan Lu; Zhuohui Zhao
Journal:  PLoS One       Date:  2017-11-09       Impact factor: 3.240

7.  Environmental Health Indicators for China: Data Resources for Chinese Environmental Public Health Tracking.

Authors:  Jie Ban; Zonghao Du; Qing Wang; Runmei Ma; Ying Zhou; Tiantian Li
Journal:  Environ Health Perspect       Date:  2019-04       Impact factor: 9.031

8.  Youth Engaged Participatory Air Monitoring: A 'Day in the Life' in Urban Environmental Justice Communities.

Authors:  Jill E Johnston; Zully Juarez; Sandy Navarro; Ashley Hernandez; Wendy Gutschow
Journal:  Int J Environ Res Public Health       Date:  2019-12-21       Impact factor: 3.390

9.  Feasibility and acceptability of monitoring personal air pollution exposure with sensors for asthma self-management.

Authors:  Sherrie Xie; Jessica R Meeker; Luzmercy Perez; Whitney Eriksen; Anna Localio; Hami Park; Alicia Jen; Madison Goldstein; Akua F Temeng; Sarai M Morales; Colin Christie; Rebecca E Greenblatt; Frances K Barg; Andrea J Apter; Blanca E Himes
Journal:  Asthma Res Pract       Date:  2021-09-05

10.  Comparison of next-generation portable pollution monitors to measure exposure to PM2.5 from household air pollution in Puno, Peru.

Authors:  Vanessa J Burrowes; Ricardo Piedrahita; Ajay Pillarisetti; Lindsay J Underhill; Magdalena Fandiño-Del-Rio; Michael Johnson; Josiah L Kephart; Stella M Hartinger; Kyle Steenland; Luke Naeher; Katie Kearns; Jennifer L Peel; Maggie L Clark; William Checkley
Journal:  Indoor Air       Date:  2020-01-23       Impact factor: 5.770

  10 in total

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