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Original Articles

Fine particle mass monitoring with low-cost sensors: Corrections and long-term performance evaluation

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Pages 160-174 | Received 12 Nov 2018, Accepted 19 May 2019, Published online: 10 Jun 2019

References

  • ACHD. 2017. Air quality annual data summary for 2017: Criteria pollutants and selected other pollutants. Pittsburgh, PA: Allegheny County Health Department Air Quality Program. https://www.alleghenycounty.us/uploadedFiles/Allegheny_Home/Health_Department/Resources/Data_and_Reporting/Air_Quality_Reports/2017-data-summary.pdf.
  • Allen, G. 2018. “Is It Good Enough?” The role of PM and ozone sensor testing/certification programs presented at the EPA Air Sensors 2018: Deliberating Performance Targets Workshop, 26 June, Research Triangle Park, North Carolina, USA. https://www.epa.gov/sites/production/files/2018-08/documents/session_07_b_allen.pdf.
  • Apte, J. S., J. D. Marshall, A. J. Cohen, and M. Brauer. 2015. Addressing global mortality from ambient PM2.5. Environmental Sci. Technol. 49 (13):8057–8066. doi:10.1021/acs.est.5b01236.
  • AQ-SPEC. 2015. Met One Neighborhood Monitor Evaluation Report. Air Quality Sensor Performance Evaluation Center. South Coast Air Quality Management District. http://www.aqmd.gov/aq-spec/product/met-one—neighborhood-monitor.
  • AQ-SPEC. 2017. PurpleAir PA-II Sensor Evaluation Report. Air Quality Sensor Performance Evaluation Center. South Coast Air Quality Management District. http://www.aqmd.gov/aq-spec/product/purpleair-pa-ii.
  • Asmi, A., A. Wiedensohler, P. Laj, A.-M. Fjaeraa, K. Sellegri, W. Birmili, E. Weingartner, U. Baltensperger, V. Zdimal, N. Zikova, et al. 2011. Number size distributions and seasonality of submicron particles in Europe 2008–2009. Atmospheric Chemistry Physics 11 (11):5505–5538.
  • Brook, R. D., S. Rajagopalan, C. A. Pope, J. R. Brook, A. Bhatnagar, A. V. Diez-Roux, F. Holguin, Y. Hong, R. V. Luepker, M. A. Mittleman, et al. 2010. Particulate matter air pollution and cardiovascular disease: an update to the scientific statement from the American Heart Association. Circulation 121 (21):2331–2378. doi:10.1161/CIR.0b013e3181dbece1.
  • Burkart, J., G. Steiner, G. Reischl, H. Moshammer, M. Neuberger, and R. Hitzenberger. 2010. Characterizing the performance of two optical particle counters (grimm OPC1.108 and OPC1.109) under urban aerosol conditions. J. Aerosol Sci. 41 (10):953–962. doi:10.1016/j.jaerosci.2010.07.007.
  • Cabada, J. C., A. Khlystov, A. E. Wittig, C. Pilinis, and S. N. Pandis. 2004. Light scattering by fine particles during the Pittsburgh Air Quality Study: measurements and modeling. J. Geophys. Res. 109 (D16). http://doi.wiley.com/10.1029/2003JD004155.
  • Cerully, K. M., A. Bougiatioti, J. R. Hite, H. Guo, L. Xu, N. L. Ng, R. Weber, and A. Nenes. 2015. On the link between hygroscopicity, volatility, and oxidation state of ambient and Water-Soluble aerosols in the southeastern United States. Atmos. Chem. Phys. 15 (15):8679–8694. doi:10.5194/acp-15-8679-2015.
  • Chow, J. C., P. Doraiswamy, J. G. Watson, L.-W. A. Chen, S. S. H. Ho, and D. A. Sodeman. 2008. Advances in integrated and continuous measurements for particle mass and chemical composition. J. Air Waste Manage. Assoc. 58 (2):141–163. doi:10.3155/1047-3289.58.2.141.
  • Crilley, L. R., M. Shaw, R. Pound, L. J. Kramer, R. Price, S. Young, A. C. Lewis, and F. D. Pope. 2018. Evaluation of a Low-cost optical particle counter (alphasense OPC-N2) for ambient air monitoring. Atmos. Measure. Tech. 11 (2):709–720. doi:10.5194/amt-11-709-2018.
  • Eeftens, M., M.-Y. Tsai, C. Ampe, B. Anwander, R. Beelen, T. Bellander, G. Cesaroni, M. Cirach, J. Cyrys, K. de Hoogh, et al. 2012. Spatial variation of PM2.5, PM10, PM2.5 absorbance and PM coarse concentrations between and within 20 European study areas and the relationship with NO2 – results of the ESCAPE project. Atmos. Environ. 62:303–317. doi:10.1016/j.atmosenv.2012.08.038.
  • English, P. B., L. Olmedo, E. Bejarano, H. Lugo, E. Murillo, E. Seto, M. Wong, G. King, A. Wilkie, D. Meltzer, et al. 2017. The imperial county community air monitoring network: a model for Community-Based environmental monitoring for public health action. Environ. Health Perspectives 125 (7):074501-1–074501-5. http://ehp.niehs.nih.gov/EHP1772.
  • Gu, P., H. Z. Li, Q. Ye, E. S. Robinson, J. S. Apte, A. L. Robinson, and A. A. Presto. 2018. Intra-city variability of PM exposure is driven by carbonaceous sources and correlated with land use variables. Environ. Sci. Technol. http://pubs.acs.org/doi/10.1021/acs.est.8b03833.
  • Hacker, K. 2017. Air monitoring network plan for 2018. Pittsburgh, PA: Allegheny County Health Department Air Quality Program. http://www.achd.net/air/publiccomment2017/ANP2018_final.pdf.
  • Jayaratne, R., X. Liu, P. Thai, M. Dunbabin, and L. Morawska. 2018. The influence of humidity on the performance of a low-cost air particle mass sensor and the effect of atmospheric fog. Atmos. Measure. Tech. 11 (8):4883–4890. doi:10.5194/amt-11-4883-2018.
  • Jerrett, M., R. T. Burnett, R. Ma, C. A. Pope, D. Krewski, K. B. Newbold, G. Thurston, Y. Shi, N. Finkelstein, E. E. Calle, and M. J. Thun. 2005. Spatial analysis of air pollution and mortality in Los Angeles. Epidemiology 16 (6):727–736.
  • Jiao, W., G. Hagler, R. Williams, R. Sharpe, R. Brown, D. Garver, R. Judge, M. Caudill, J. Rickard, M. Davis, L. Weinstock, S. Zimmer-Dauphinee, and K. Buckley. 2016. Community air sensor network (CAIRSENSE) project: Evaluation of low-cost sensor performance in a suburban environment in the southeastern United States. Atmos. Measure. Tech. 9 (11):5281–5292. doi:10.5194/amt-9-5281-2016.
  • Karner, A. A., D. S. Eisinger, and D. A. Niemeier. 2010. Near-roadway air quality: Synthesizing the findings from Real-World data. Environ. Sci. Technol. 44 (14):5334–5344. doi:10.1021/es100008x.
  • Kelly, K. E., J. Whitaker, A. Petty, C. Widmer, A. Dybwad, D. Sleeth, R. Martin, and A. Butterfield. 2017. Ambient and laboratory evaluation of a low-cost particulate matter sensor. Environ. Pollution 221:491–500. doi:10.1016/j.envpol.2016.12.039.
  • Koehler, K. A., and T. M. Peters. 2015. New methods for personal exposure monitoring for airborne particles. Curr. Environ. Health Rep. 2 (4):399–411. doi:10.1007/s40572-015-0070-z.
  • Lepeule, J., F. Laden, D. Dockery, and J. Schwartz. 2012. Chronic exposure to fine particles and mortality: An extended follow-up of the Harvard six cities study from 1974 to 2009. Environ. Health Perspectives 120 (7):965–970. doi:10.1289/ehp.1104660.
  • Liu, D., Q. Zhang, J. Jiang, and D.-R. Chen. 2017. Performance calibration of low-cost and portable particular matter (PM) sensors. J. Aerosol Sci. 112:1–10. doi:10.1016/j.jaerosci.2017.05.011.
  • Malings, C., R. Tanzer, A. Hauryliuk, S. P. N. Kumar, N. Zimmerman, L. B. Kara, A. A. Presto, and R. Subramanian. 2019. Development of a general calibration model and long-term performance evaluation of low-cost sensors for air pollutant gas monitoring. Atmos. Measure. Tech. 12 (2):903–920. doi:10.5194/amt-12-903-2019.
  • McDonnell, P. 2017. Commonwealth of Pennsylvania Department of Environmental Protection 2016 Annual Ambient Air Monitoring Network Plan. Pennsylvania Department of Environmental Protection. https://www.epa.gov/sites/production/files/2017-12/documents/paplan2016.pdf.
  • Met One. 2018. NPM 2 Operation Manual, Rev. B. Met One Instruments, Inc. https://metone.com/wp-content/uploads/pdfs/npm-2-network-particulate-monitor.pdf.
  • Moltchanov, S., I. Levy, Y. Etzion, U. Lerner, D. M. Broday, and B. Fishbain. 2015. On the feasibility of measuring urban air pollution by wireless distributed sensor networks. Sci. Total Environ. 502:537–547. doi:10.1016/j.scitotenv.2014.09.059.
  • Petters, M. D., and S. M. Kreidenweis. 2007. A single parameter representation of hygroscopic growth and cloud condensation nucleus activity. Atmos. Chem. Phys. 7 (8):1961–1971.
  • Piedrahita, R., Y. Xiang, N. Masson, J. Ortega, A. Collier, Y. Jiang, K. Li, R. P. Dick, Q. Lv, M. Hannigan, and L. Shang. 2014. The next generation of low-cost personal air quality sensors for quantitative exposure monitoring. Atmos. Measure. Tech. 7 (10):3325–3336. doi:10.5194/amt-7-3325-2014.
  • Pope, C. A., R. T. Burnett, M. J. Thun, E. E. Calle, D. Krewski, K. Ito, and G. D. Thurston. 2002. Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. JAMA 287 (9):1132–1141.
  • Rai, A. C., P. Kumar, F. Pilla, A. N. Skouloudis, S. Di Sabatino, C. Ratti, A. Yasar, and D. Rickerby. 2017. End-user perspective of low-cost sensors for outdoor air pollution monitoring. Sci. Total Environ. 607–608:691–705. doi:10.1016/j.scitotenv.2017.06.266.
  • Schwartz, J., D. W. Dockery, and L. M. Neas. 1996. Is daily mortality associated specifically with fine particles? J. Air Waste Manage. Assoc. (1995) 46 (10):927–939. doi:10.1080/10473289.1996.10467528.
  • Snyder, E. G., T. H. Watkins, P. A. Solomon, E. D. Thoma, R. W. Williams, G. S. W. Hagler, D. Shelow, D. A. Hindin, V. J. Kilaru, and P. W. Preuss. 2013. The changing paradigm of air pollution monitoring. Environ. Sci. Technol. 47 (20):11369–11377. doi:10.1021/es4022602.
  • Solomon, P. A., and C. Sioutas. 2008. Continuous and semicontinuous monitoring techniques for particulate matter mass and chemical components: A synthesis of findings from EPA’s particulate matter supersites program and related studies. J. Air Waste Manage. Assoc. 58 (2):164–195.
  • Tan, Y., E. M. Lipsky, R. Saleh, A. L. Robinson, and A. A. Presto. 2014. Characterizing the spatial variation of air pollutants and the contributions of high emitting vehicles in Pittsburgh, PA. Environ. Sci. Technol. 48 (24):14186–14194. doi:10.1021/es5034074.
  • Tsujita, W., A. Yoshino, H. Ishida, and T. Moriizumi. 2005. Gas sensor network for Air-Pollution monitoring. Sensors Actuators B: Chem. 110 (2):304–311. doi:10.1016/j.snb.2005.02.008.
  • US EPA. 2016a. EPA NAAQS Table. United States Environmental Protection Agency. https://www.epa.gov/criteria-air-pollutants/naaqs-table.
  • US EPA. 2016b. Quality Assurance Guidance Document 2.12: Monitoring PM2.5 in Ambient Air Using Designated Reference or Class I Equivalent Methods. United States Environmental Protection Agency. https://www3.epa.gov/ttnamti1/files/ambient/pm25/qa/m212.pdf.
  • US EPA. 2017. Particulate Matter (PM2.5) Trends. United States Environmental Protection Agency. https://www.epa.gov/air-trends/particulate-matter-pm25-trends#pmnat.
  • US EPA. 2019. EPA Air Data. United States Environmental Protection Agency. Accessed March 1. https://aqs.epa.gov/aqsweb/airdata/download_files.html.
  • Wang, E. 2019. Plantower calibration (E-Mail Communication).
  • Wang, Y., J. Li, H. Jing, Q. Zhang, J. Jiang, and P. Biswas. 2015. Laboratory evaluation and calibration of three low-cost particle sensors for particulate matter measurement. Aerosol Sci. Technol. 49 (11):1063–1077. doi:10.1080/02786826.2015.1100710.
  • Watson, J. G., J. C. Chow, H. Moosmüller, M. Green, N. Frank, and M. Pitchford. 1998. Guidance for using continuous monitors in PM2.5 monitoring networks. Triangle Park, NC: US EPA Office of Air Quality Planning and Standards.
  • White, R. M., I. Paprotny, F. Doering, W. E. Cascio, P. A. Solomon, and L. A. Gundel. 2012. Sensors and “apps” for community-based: Atmospheric monitoring. EM: Air Waste Manage. Association’s Mag. Environ. Managers 2012:36–40.
  • Williams, R., R. Duvall, V. Kilaru, G. Hagler, L. Hassinger, K. Benedict, J. Rice, A. Kaufman, R. Judge, G. Pierce, et al. 2019. Deliberating performance targets workshop: Potential paths for emerging PM2.5 and O3 air sensor progress. Atmos. Environ. 2:100031. doi:10.1016/j.aeaoa.2019.100031.
  • Williams, R., D. Vallano, A. Polidori, and S. Garvey. 2018. Spatial and temporal trends of air pollutants in the South Coast basin using low cost sensors. Washington, DC: United States Environmental Protection Agency.
  • Williams, R., Vasu Kilaru, E. Snyder, A. Kaufman, T. Dye, A. Rutter, A. Russel, and H. Hafner. 2014. Air sensor guidebook. Washington, DC: United States Environmental Protection Agency. https://cfpub.epa.gov/si/si_public_file_download.cfm?p_download_id=519616.
  • Wilson, W. E., J. C. Chow, C. Claiborn, W. Fusheng, J. Engelbrecht, and J. G. Watson. 2002. Monitoring of particulate matter outdoors. Chemosphere 49 (9):1009–1043. doi:10.1016/S0045-6535(02)00270-9.
  • Zheng, T., M. H. Bergin, K. K. Johnson, S. N. Tripathi, S. Shirodkar, M. S. Landis, R. Sutaria, and D. E. Carlson. 2018. Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments. Atmos. Measure. Tech. 11 (8):4823–4846. doi:10.5194/amt-11-4823-2018.
  • Zhou, Y., and H. Zheng. 2016. PMS5003 Series Data Manual. http://www.aqmd.gov/docs/default-source/aq-spec/resources-page/plantower-pms5003-manual_v2-3.pdf?sfvrsn=2.
  • Zikova, N., P. K. Hopke, and A. R. Ferro. 2017. Evaluation of new Low-Cost particle monitors for PM2.5 concentrations measurements. J. Aerosol Sci. 105:24–34. doi:10.1016/j.jaerosci.2016.11.010.
  • Zikova, N., M. Masiol, D. Chalupa, D. Rich, A. Ferro, and P. Hopke. 2017. Estimating hourly concentrations of PM2.5 across a metropolitan area using low-cost particle monitors. Sensors 17 (8):1922.
  • Zimmerman, N., A. A. Presto, S. P. N. Kumar, J. Gu, A. Hauryliuk, E. S. Robinson, A. L. Robinson, and R. Subramanian. 2018. A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring. Atmos. Measure. Tech. 11 (1):291–313. doi:10.5194/amt-11-291-2018.

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