Abstract
Personal exposure to particulate matter (PM) is associated with a variety of adverse health effects and cardiopulmonary diseases. As a mitigating measure to improve air quality, policymakers should select street cleaning tools according to their potential environmental impact, but there is little information about their actual effect on particle pollution. This paper describes the contribution made by leaf blowers to suspended PM and analyzes the duration of this effect during street sweeping in an urban environment. Particle concentration has been monitored throughout a fixed-site 104-day sampling campaign using the Dylos DC1700, a low-cost real-time laser particle counter. This detector recognizes two sizes of particles, coarse and fine, and records data every minute, which provides unique time resolution in the observation of the effect of leaf blowers. The results show that the use of leaf blowers raises fine PM to 13.9 μg/m3 and coarse ones to 31.5 μg/m3, which increases the number 1.6 times and 1.7 times, respectively, when compared with normal median particle concentration. The particulate matter stays resuspended in the air for several minutes, creating a dust wave effect. Low-cost sensors, such as the Dylos, are proposed as a practical methodology to help local decision-makers incorporate environmental variables in decision-making.
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References
Amato F, Nava S, Lucarelli F, Querol X, Alastuey A, Baldasano JM, Pandolfi M (2010) A comprehensive assessment of PM emissions from paved roads: real-world emission factors and intense street cleaning trials. Sci Total Environ 408:4309–4318. https://doi.org/10.1016/j.scitotenv.2010.06.008
Arling J, O’Connor K, Mercieca M (2010) Air Quality Sensor Network for Philadelphia
California Air Resources Board (2000) A Report to the California Legislature on the potential health and environmental impacts of leaf blowers. https://www.arb.ca.gov/msprog/leafblow/leafblow.htm. Accessed 8 Dec 2017
Calvillo SJ, Williams ES, Brooks BW (2015) Street dust: implications for stormwater and air quality, and environmental management through street sweeping. In: Whitacre DM (ed) Reviews of environmental contamination and toxicology, vol 233. Springer Int Publishing Ag, Cham, pp 71–128
Carvlin GN, Lugo H, Olmedo L, Bejarano E, Wilkie A, Meltzer D, Wong M, King G, Northcross A, Jerrett M, English PB, Hammond D, Seto E (2017) Development and field validation of a community-engaged particulate matter air quality monitoring network in Imperial, California, USA. J Air Waste Manage Assoc 67:1342–1352. https://doi.org/10.1080/10962247.2017.1369471
Charron A, Harrison RM (2005) Fine (PM2.5) and coarse (PM2.5-10) particulate matter on a heavily trafficked London highway: sources and processes. Environ Sci Technol 39:7768–7776. https://doi.org/10.1021/es050462i
Chiaverini L (2002) Asthma, particulates, and diesel exhaust. Med Health R I 85:140–142
Dacunto PJ, Klepeis NE, Cheng K-C, Acevedo-Bolton V, Jiang RT, Repace JL, Ott WR, Hildemann LM (2015) Determining PM2.5 calibration curves for a low-cost particle monitor: common indoor residential aerosols. Environ Sci Process Impacts 17:1959–1966. https://doi.org/10.1039/c5em00365b
Derrick B, Russ B, Toher D, White P (2017) Test statistics for the comparison of means for two samples that include both paired and independent observations. J Mod Appl Stat Methods:16. https://doi.org/10.22237/jmasm/1493597280
Dinoi A, Donateo A, Belosi F et al (2017) Comparison of atmospheric particle concentration measurements using different optical detectors: potentiality and limits for air quality applications. Measurement 106:274–282. https://doi.org/10.1016/j.measurement.2016.02.019
Directive 2008/50/CE (2008) Directive 2008/50/EC of the European Parliament and of the Council, of 21 May 2008, on ambient air quality and cleaner air for Europe
Fitz D, Pankratz D, Pederson S, Bristow J (2006) Determination Particulate Emission Rates from Leaf Blowers, New Orleans
Franken R, Maggos T, Stamatelopoulou A, Loh M, Kuijpers E, Bartzis J, Steinle S, Cherrie JW, Pronk A (2019) Comparison of methods for converting Dylos particle number concentrations to PM2.5 mass concentrations. Indoor Air 29:450–459. https://doi.org/10.1111/ina.12546
Grigoratos T, Martini G (2015) Brake wear particle emissions: a review. Environ Sci Pollut Res 22:2491–2504. https://doi.org/10.1007/s11356-014-3696-8
Guo Z (2013) Home parking convenience, household car usage, and implications to residential parking policies. Transp Policy 29:97–106. https://doi.org/10.1016/j.tranpol.2013.04.005
Han I, Symanski E, Stock TH (2017) Feasibility of using low-cost portable particle monitors for measurement of fine and coarse particulate matter in urban ambient air. J Air Waste Manage Assoc 67:330–340. https://doi.org/10.1080/10962247.2016.1241195
Harrison RM, Yin J, Mark D, et al (2001) Studies of the coarse particle (2.5-10 um) component in UK urban atmospheres. Atmos Environ 13
Horwatich JA, Bannerman RT (2009) Pollutant loading to stormwater runoff from highways: impact of a highway sweeping program-phase II, Madison, Wisconsin
Ibald-Mulli A, Wichmann H-E, Kreyling W, Peters A (2002) Epidemiological evidence on health effects of ultrafine particles. J Aerosol Med Off J Int Soc Aerosols Med 15:189–201. https://doi.org/10.1089/089426802320282310
Jang Y-C, Jain P, Tolaymat T, Dubey B, Townsend T (2009) Characterization of pollutants in Florida street sweepings for management and reuse. J Environ Manag 91:320–327. https://doi.org/10.1016/j.jenvman.2009.08.018
Johnson KK, Bergin MH, Russell AG, Hagler GSW (2018) Field test of several low-cost particulate matter sensors in high and low concentration urban environments. Aerosol Air Qual Res 18:565–578. https://doi.org/10.4209/aaqr.2017.10.0418
Jovašević-Stojanović M, Bartonova A, Topalović D, Lazović I, Pokrić B, Ristovski Z (2015) On the use of small and cheaper sensors and devices for indicative citizen-based monitoring of respirable particulate matter. Environ Pollut 206:696–704. https://doi.org/10.1016/j.envpol.2015.08.035
Kulkarni P, Baron PA, Willeke K (2011) Aerosol measurement: principles, techniques, and applications, 3rd edn. Wiley
Northcross AL, Edwards RJ, Johnson MA, Wang ZM, Zhu K, Allen T, Smith KR (2013) A low-cost particle counter as a realtime fine-particle mass monitor. Environ Sci Process Impacts 15:433–439. https://doi.org/10.1039/c2em30568b
Querol X, Viana M, Alastuey A et al (2007) Source origin of trace elements in PM from regional background, urban and industrial sites of Spain. Atmos Environ 41:7219–7231. https://doi.org/10.1016/j.atmosenv.2007.05.022
Rai AC, Kumar P, Pilla F, Skouloudis AN, di Sabatino S, Ratti C, Yasar A, Rickerby D (2017) End-user perspective of low-cost sensors for outdoor air pollution monitoring. Sci Total Environ 607–608:691–705. https://doi.org/10.1016/j.scitotenv.2017.06.266
Routledge HC, Ayres JG (2006) Cardiovascular effects of particles, in air pollution and health. Imperial College Press, Singapore
Samet JM, Dominici F, Curriero FC, Coursac I, Zeger SL (2000) Fine particulate air pollution and mortality in 20 U.S. cities, 1987-1994. N Engl J Med 343:1742–1749. https://doi.org/10.1056/NEJM200012143432401
Semple S, Apsley A, MacCalman L (2013) An inexpensive particle monitor for smoker behaviour modification in homes. Tob Control 22:295–298. https://doi.org/10.1136/tobaccocontrol-2011-050401
Snyder EG, Watkins TH, Solomon PA, Thoma ED, Williams RW, Hagler GS, Shelow D, Hindin DA, Kilaru VJ, Preuss PW (2013) The changing paradigm of air pollution monitoring. Environ Sci Technol 47:11369–11377. https://doi.org/10.1021/es4022602
Sousan S, Koehler K, Thomas G, Park JH, Hillman M, Halterman A, Peters TM (2016) Inter-comparison of low-cost sensors for measuring the mass concentration of occupational aerosols. Aerosol Sci Technol 50:462–473. https://doi.org/10.1080/02786826.2016.1162901
Spanish Meteorology Agency AE de (2018) Agencia Estatal de Meteorología - AEMET. (Spanish Meteorology Agency). http://www.aemet.es/documentos/es/conocermas/recursos_en_linea/publicaciones_y_estudios/publicaciones/Atlas-climatologico/Atlas.pdf. Accessed 30 Oct 2018
Spanish Statistical Office (2018) Instituto Nacional de Estadistica. (Spanish Statistical Office). https://www.ine.es/jaxiT3/Datos.htm?t=2883. Accessed 30 Oct 2018
Steinle S, Reis S, Sabel CE, Semple S, Twigg MM, Braban CF, Leeson SR, Heal MR, Harrison D, Lin C, Wu H (2015) Personal exposure monitoring of PM 2.5 in indoor and outdoor microenvironments. Sci Total Environ 508:383–394. https://doi.org/10.1016/j.scitotenv.2014.12.003
Tittarelli A, Borgini A, Bertoldi M et al (2008) Estimation of particle mass concentration in ambient air using a particle counter. Atmos Environ 42:8543–8548. https://doi.org/10.1016/j.atmosenv.2008.07.056
Tsuda A, Henry FS, Butler JP (2013) Particle transport and deposition: basic physics of particle kinetics. Compr Physiol 3:1437–1471. https://doi.org/10.1002/cphy.c100085
Tuch T, Mirme A, Tamm E et al (2000) Comparison of two particle-size spectrometers for ambient aerosol measurements. Atmos Environ 34:139–149. https://doi.org/10.1016/S1352-2310(99)00248-4
WHO (2015) World Health Organization Expert Consultation: available evidence for the future update of the WHO Global Air Quality Guidelines (AQGs). Bonn (Germany)
WHO (2016) WHO | Ambient air pollution: a global assessment of exposure and burden of disease. In: WHO. http://www.who.int/phe/publications/air-pollution-global-assessment/en/. Accessed 4 Oct 2019
WHO (2018) Ambient (outdoor) air quality and health. https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health. Accessed 8 Apr 2019
Yuan L, Zhang Y, Gao Y, Tian Y (2019) Maternal fine particulate matter (PM2.5) exposure and adverse birth outcomes: an updated systematic review based on cohort studies. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-019-04644-x
Zhang Q, Shen Z, Cao J et al (2014) Chemical profiles of urban fugitive dust over Xi’an in the south margin of the Loess Plateau, China. Atmos Pollut Res 5:421–430. https://doi.org/10.5094/APR.2014.049
Zheng T, Bergin MH, Johnson KK et al (2018) Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments. Atmos Meas Tech 11:4823–4846. https://doi.org/10.5194/amt-11-4823-2018
Acknowledgments
The authors thank Salvador González Moreno for offering surveillance and assistance throughout the study, Mayte Prior Marco and Pepe Hernández Mown for recording the passes of the leaf blowers from their bakery, and Laura Wettersten for the language revision.
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Highlights
• Leaf blowers increase fine and coarse PM up to 1.6 times and 1.7 times, respectively.
• The passing of leaf blowers produces a 4-min dust wave of high PM.
• The Dylos proved to be a valid tool for PM evaluation of short-term events.
• Low-cost sensors help incorporate environmental aspects into decision-making.
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Costa-Gómez, I., Bañón, D., Moreno-Grau, S. et al. Using a low-cost monitor to assess the impact of leaf blowers on particle pollution during street cleaning. Air Qual Atmos Health 13, 15–23 (2020). https://doi.org/10.1007/s11869-019-00768-8
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DOI: https://doi.org/10.1007/s11869-019-00768-8