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Personal exposure to PM2.5 associated with heavy metals in four travel modes of Tianjin during the summer season

Environmental Science and Pollution Research volume 24, pages 6667–6678 (2017)Cite this article

Abstract

Personal exposure to PM2.5 associated with heavy metals were investigated at and around the same road by cycling, walking, taxi and bus in Tianjin, China. One trip on each mode was undertaken during 4 h of both morning and evening peak hours. Results of one-way analysis of variance (ANOVA) to compare mean concentrations of PM2.5 and each metal measured by four modes, the enrichment level of heavy metals in four modes and the carcinogenic, non-carcinogenic risk and probabilistic estimation of health risks of metals (Cr, Ni, Cu, Zn and Pb). Arithmetic means of PM2.5 personal exposure were 323.66, 313.37, 214.84 and 160.71 μg/m3 for cycling, walking, bus and taxi, which resulted from the difference of source (vehicle exhaust and road dust) of exposure to PM2.5. Na has the highest concentration, followed by Al, Ca, K, Fe, Mg, Zn, Ni, Pb, Cu and Cr. The higher Na concentrations were observed in Tianjin in light of its major sea salt influence. The concentrations of Ca, Mg, Fe and Zn in four modes followed different orders, while other metals have no significant difference between four modes. Enrichment factors of metals in PM2.5 showed that some metals are enriched, ranging from contaminated to extremely contaminated, for example, Ni, Cu, Zn, Pb, Na and Cr. Others are barely enriched such as Ca, K, Mg and Fe. It illustrated the former is mainly effected by anthropogenic activates and the source of latter comes from crust. From the results of non-carcinogenic and carcinogenic risks of metals, the intake of metals with inhalation for 4 h by four modes did not pose a significant potential chronic-toxic risk and was an acceptable or tolerable risk at present. But uncertainty analysis of health risks showed there were 4.05 and 6.87% probability that make carcinogenic risk values to exceed 10−4 when male choose walking/cycling to work. Commuters’ rush hour exposures were significantly influenced by mode of transport. We suggest that future work should focus on further research between heavy metals in PM2.5 exposure and its specific epidemiology effects.

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References

  • Adams H, Nieuwenhuijsen M, Colvile R (2001) Determinants of fine particle (PM2.5) personal exposure levels in transport microenvironments, London, UK. Atmos Environ 35:4557–4566

    CAS  Article  Google Scholar 

  • Adams H, Nieuwenhuijsen MJ, Colvile R, Older M, Kendall M (2002) Assessment of road users’ elemental carbon personal exposure levels, London, UK. Atmos Environ 36:5335–5342

    CAS  Article  Google Scholar 

  • Allen JO, Mayo PR, Hughes LS, Salmon LG, Cass GR (2001) Emissions of size-segregated aerosols from on-road vehicles in the Caldecott Tunnel. Environ Sci Technol 35:4189–4197

    CAS  Article  Google Scholar 

  • Behrentz E, Sabin LD, Winer AM, Fitz DR, Pankratz DV, Colome SD et al (2005) Relative importance of school bus-related microenvironments to children’s pollutant exposure. J Air Waste Manage Assoc 55:1418–1430

    CAS  Article  Google Scholar 

  • Boogaard H, Borgman F, Kamminga J, Hoek G (2009) Exposure to ultrafine and fine particles and noise during cycling and driving in 11 Dutch cities. Atmos Environ 43:4234–4242

    CAS  Article  Google Scholar 

  • Briggs DJ, de Hoogh K, Morris C, Gulliver J (2008) Effects of travel mode on exposures to particulate air pollution. Environ Int 34:12–22

    CAS  Article  Google Scholar 

  • Çevik F, Göksu MZL, Derici OB, Fındık Ö (2009) An assessment of metal pollution in surface sediments of Seyhan dam by using enrichment factor, geoaccumulation index and statistical analyses. Environ Monit Assess 152:309–317

    Article  Google Scholar 

  • Chan L, Lau W, Lee S, Chan C (2002a) Commuter exposure to particulate matter in public transportation modes in Hong Kong. Atmos Environ 36:3363–3373

    CAS  Article  Google Scholar 

  • Chan L, Lau W, Zou S, Cao Z, Lai S (2002b) Exposure level of carbon monoxide and respirable suspended particulate in public transportation modes while commuting in urban area of Guangzhou, China. Atmos Environ 36:5831–5840

    CAS  Article  Google Scholar 

  • Chen C-W, Kao C-M, Chen C-F, Dong C-D (2007) Distribution and accumulation of heavy metals in the sediments of Kaohsiung Harbor. Taiwan Chemosphere 66:1431–1440

    CAS  Article  Google Scholar 

  • Chen P, Bi X, Zhang J, Wu J, Feng Y (2015) Assessment of heavy metal pollution characteristics and human health risk of exposure to ambient PM2.5 in Tianjin, China. Particuology 20:104–109

    CAS  Article  Google Scholar 

  • de Kok TM, Driece HA, Hogervorst JG, Briedé JJ (2006) Toxicological assessment of ambient and traffic-related particulate matter: a review of recent studies. Mutation Research/Reviews in Mutation Research 613:103–122

    Article  Google Scholar 

  • de Nazelle A, Fruin S, Westerdahl D, Martinez D, Ripoll A, Kubesch N et al (2012) A travel mode comparison of commuters’ exposures to air pollutants in Barcelona. Atmos Environ 59:151–159

    Article  Google Scholar 

  • Dennekamp M, Mehenni OH, Seaton JWC (2002) Exposure to ultrafine particles and PM in different micro-environments. Ann Occup Hyg 46:412–414

    Google Scholar 

  • Din ZB (1992) Use of aluminium to normalize heavy-metal data from estuarine and coastal sediments of Straits of Melaka. Mar Pollut Bull 24:484–491

    CAS  Article  Google Scholar 

  • Duong TT, Lee BK (2011) Determining contamination level of heavy metals in road dust from busy traffic areas with different characteristics. J Environ Manag 92:554–562

    CAS  Article  Google Scholar 

  • Ewen C, Anagnostopoulou MA, Ward NI (2009) Monitoring of heavy metal levels in roadside dusts of Thessaloniki, Greece in relation to motor vehicle traffic density and flow. Environ Monit Assess 157:483–498

    CAS  Article  Google Scholar 

  • Giugliano M, Lonati G, Butelli P, Romele L, Tardivo R, Grosso M (2005) Fine particulate (PM2.5–PM1) at urban sites with different traffic exposure. Atmos Environ 39:2421–2431

    CAS  Article  Google Scholar 

  • Gómez-Perales JE, Colvile RN, Nieuwenhuijsen MJ, Fernández-Bremauntz A, Gutiérrez-Avedoy VJ, Páramo-Figueroa VH et al (2004) Commuters’ exposure to PM2.5, CO, and benzene in public transport in the metropolitan area of Mexico City. Atmos Environ 38:1219–1229

    Article  Google Scholar 

  • Graney JR, Landis MS, Norris GA (2004) Concentrations and solubility of metals from indoor and personal exposure PM2.5 samples. Atmos Environ 38:237–247

    CAS  Article  Google Scholar 

  • Greaves S, Issarayangyun T, Liu Q (2008) Exploring variability in pedestrian exposure to fine particulates (PM2.5) along a busy road. Atmos Environ 42:1665–1676

    CAS  Article  Google Scholar 

  • Gulliver J, Briggs DJ (2004) Personal exposure to particulate air pollution in transport microenvironments. Atmos Environ 38:1–8

    CAS  Article  Google Scholar 

  • Hagler GSW, Bergin MH, Salmon LG, Yu JZ, Wan ECH, Zheng M et al (2007) Local and regional anthropogenic influence on PM2.5 elements in Hong Kong. Atmos Environ 41:5994–6004

    CAS  Article  Google Scholar 

  • Hu X, Zhang Y, Ding Z, Wang T, Lian H, Sun Y et al (2012) Bioaccessibility and health risk of arsenic and heavy metals (Cd, Co, Cr, Cu, Ni, Pb, Zn and Mn) in TSP and PM2.5 in Nanjing, China. Atmos Environ 57:146–152

    CAS  Article  Google Scholar 

  • Huang J, Deng F, Wu S, Guo X (2012) Comparisons of personal exposure to PM2.5 and CO by different commuting modes in Beijing, China. Sci Total Environ 425:52–59

    CAS  Article  Google Scholar 

  • Huttunen K, Siponen T, Salonen I, Yli-Tuomi T, Aurela M, Dufva H et al (2012) Low-level exposure to ambient particulate matter is associated with systemic inflammation in ischemic heart disease patients. Environ Res 116:44–51

    CAS  Article  Google Scholar 

  • Int Panis L, de Geus B, Vandenbulcke G, Willems H, Degraeuwe B, Bleux N et al (2010) Exposure to particulate matter in traffic: a comparison of cyclists and car passengers. Atmos Environ 44:2263–2270

    CAS  Article  Google Scholar 

  • Johansson C, Norman M, Burman L (2009) Road traffic emission factors for heavy metals. Atmos Environ 43:4681–4688

    CAS  Article  Google Scholar 

  • Kaur S, Nieuwenhuijsen M (2009) Determinants of personal exposure to PM2.5, ultrafine particle counts, and CO in a transport microenvironment. Environmental Science & Technology 43:4737–4743

    CAS  Article  Google Scholar 

  • Kaur S, Nieuwenhuijsen M, Colvile R (2005) Personal exposure of street canyon intersection users to PM2.5, ultrafine particle counts and carbon monoxide in Central London, UK. Atmos Environ 39:3629–3641

    CAS  Article  Google Scholar 

  • Kaur S, Nieuwenhuijsen MJ, Colvile RN (2007) Fine particulate matter and carbon monoxide exposure concentrations in urban street transport microenvironments. Atmos Environ 41:4781–4810

    CAS  Article  Google Scholar 

  • Kim K-H, Jahan SA, Kabir E, Brown RJ (2013) A review of airborne polycyclic aromatic hydrocarbons (PAHs) and their human health effects. Environ Int 60:71–80

    CAS  Article  Google Scholar 

  • Kingham S, Meaton J, Sheard A, Lawrenson O (1998) Assessment of exposure to traffic-related fumes during the journey to work. Transp. Res. Part D: Transp. Environ 4(3):271–274

  • Kinney PL, Gichuru MG, Volavka-Close N, Ngo N, Ndiba PK, Law A et al (2011) Traffic impacts on PM(2.5) air quality in Nairobi, Kenya. Environ Sci Pol 14:369–378

    CAS  Article  Google Scholar 

  • Knibbs LD, de Dear RJ (2010) Exposure to ultrafine particles and PM2.5 in four Sydney transport modes. Atmos Environ 44:3224–3227

    CAS  Article  Google Scholar 

  • Kong S, Han B, Bai Z, Chen L, Shi J, Xu Z (2010) Receptor modeling of PM2.5, PM10 and TSP in different seasons and long-range transport analysis at a coastal site of Tianjin, China. Sci Total Environ 408:4681–4694

    CAS  Article  Google Scholar 

  • Li X, Poon C, Liu PS (2001) Heavy metal contamination of urban soils and street dusts in Hong Kong. Appl Geochem 16:1361–1368

    CAS  Article  Google Scholar 

  • Li H, Qian X, Hu W, Wang Y, Gao H (2013) Chemical speciation and human health risk of trace metals in urban street dusts from a metropolitan city, Nanjing, SE China. Sci Total Environ 456-457:212–221

    CAS  Article  Google Scholar 

  • Liu G, Li J, Wu D, Xu H (2015a) Chemical composition and source apportionment of the ambient PM2.5 in Hangzhou, China. Particuology 18:135–143

  • Liu X, Zhai Y, Zhu Y, Liu Y, Chen H, Li P et al (2015b) Mass concentration and health risk assessment of heavy metals in size-segregated airborne particulate matter in Changsha. Sci Total Environ 517:215–221

    CAS  Article  Google Scholar 

  • Mccreanor JE, Evans JS, Malliarou E, Zhang J, Nieuwenhuijsen MJ, Svartengren M, et al. 2005 Health effects of diesel exhaust in asthmatic patients: a real-world study in London. Epidemiology 16

  • McNabola A, Broderick BM, Gill LW (2008) Relative exposure to fine particulate matter and VOCs between transport microenvironments in Dublin: personal exposure and uptake. Atmos Environ 42:6496–6512

    CAS  Article  Google Scholar 

  • Meng ZY, Jiang XM, Yan P, Lin WL, Zhang HD, Wang Y (2007) Characteristics and sources of PM2.5 and carbonaceous species during winter in Taiyuan, China. Atmos Environ 41:6901–6908

    CAS  Article  Google Scholar 

  • Morawska L, Ristovski Z, Jayaratne ER, Keogh DU, Ling X (2008) Ambient nano and ultrafine particles from motor vehicle emissions: characteristics, ambient processing and implications on human exposure. Atmos Environ 42:8113–8138

    CAS  Article  Google Scholar 

  • Pant P, Harrison RM (2013) Estimation of the contribution of road traffic emissions to particulate matter concentrations from field measurements: a review. Atmos Environ 77:78–97

    CAS  Article  Google Scholar 

  • Pastuszka JS, Rogula-Kozłowska W, Zajusz-Zubek E (2010) Characterization of PM10 and PM2.5 and associated heavy metals at the crossroads and urban background site in Zabrze, Upper Silesia, Poland, during the smog episodes. Environ Monit Assess 168:613–627

    CAS  Article  Google Scholar 

  • Pfeifer G, Harrison R, Lynam D (1999) Personal exposures to airborne metals in London taxi drivers and office workers in 1995 and 1996. Sci Total Environ 235:253–260

    CAS  Article  Google Scholar 

  • Pui DYH, Chen S-C, Zuo Z (2014) PM2.5 in China: measurements, sources, visibility and health effects, and mitigation. Particuology 13:1–26

    CAS  Article  Google Scholar 

  • Quiros DC, Lee ES, Wang R, Zhu Y (2013) Ultrafine particle exposures while walking, cycling, and driving along an urban residential roadway. Atmos Environ 73:185–194

    CAS  Article  Google Scholar 

  • Ragettli MS, Corradi E, Braun-Fahrländer C, Schindler C, de Nazelle A, Jerrett M et al (2013) Commuter exposure to ultrafine particles in different urban locations, transportation modes and routes. Atmos Environ 77:376–384

    CAS  Article  Google Scholar 

  • Ravichandran M, Baskaran M, Santschi PH, Bianchi TS (1995) History of trace metal pollution in Sabine-Neches estuary, Beaumont, Texas. Environmental science & technology 29:1495–1503

    CAS  Article  Google Scholar 

  • Rim D, Siegel J, Spinhirne J, Webb A, McDonald-Buller E (2008) Characteristics of cabin air quality in school buses in Central Texas. Atmos Environ 42:6453–6464

    CAS  Article  Google Scholar 

  • Schaumann F, Borm PJ, Herbrich A, Knoch J, Pitz M, Schins RP et al (2004) Metal-rich ambient particles (particulate matter 2.5) cause airway inflammation in healthy subjects. Am J Respir Crit Care Med 170:898–903

    Article  Google Scholar 

  • Sørensen M, Schins RP, Hertel O, Loft S (2005) Transition metals in personal samples of PM2.5 and oxidative stress in human volunteers. Cancer Epidemiol Biomark Prev 14:1340–1343

    Article  Google Scholar 

  • Sutherland R (2000) Bed sediment-associated trace metals in an urban stream, Oahu, Hawaii. Environ Geol 39:611–627

    CAS  Article  Google Scholar 

  • Tao M, Chen L, Wang Z, Ma P, Tao J, Jia S (2014) A study of urban pollution and haze clouds over northern China during the dusty season based on satellite and surface observations. Atmos Environ 82:183–192

    CAS  Article  Google Scholar 

  • Tsai D-H, Wu Y-H, Chan C-C (2008) Comparisons of commuter’s exposure to particulate matters while using different transportation modes. Sci Total Environ 405:71–77

    CAS  Article  Google Scholar 

  • U.S. Environmental Protection Agency (1989) Risk assessment guidance for superfund. Human health evaluation manual, vol. I. Office of Solid Waste and Emergency Response (EPA/540/1–89/002)

  • U.S. Environmental Protection Agency (1996) Soil screening guidance: technical background document. Office of Solid Waste and Emergency Response; 1996 (EPA/540/R-95/128).

  • U.S. Environmental Protection Agency (2001) Risk assessment guidance for superfund: volume III—part A, process for conducting probabilistic risk assessment office of emergency and remedial response. U.S. Environmental Protection Agency, Washington, D.C.

    Google Scholar 

  • U.S. Environmental Protection Agency (2004) Risk assessment guidance for superfund volume I: human health evaluation manual (part E, supplemental guidance for dermal risk assessment). Office of Superfund Remediation and Technology Innovation, Washington, D.C.

    Google Scholar 

  • U.S. Environmental Protection Agency (2009) Risk assessment guidance for superfund volume I: human health evaluation manual (part F, supplemental guidance for inhalation risk assessment). Office of Superfund Remediation and Technology Innovation, Washington, D.C.

    Google Scholar 

  • U.S. Environmental Protection Agency (2011) Exposure factors handbook: 2011 edition. National Center for Environmental Assessment, Washington, D.C. (EPA/600/R-09/052F. Available from the National Technical Information Service, Springfield, VA, and online at http://www.epa.gov/ncea/efh)

  • Wang J, Hu Z, Chen Y, Chen Z, Xu S (2013) Contamination characteristics and possible sources of PM10 and PM2.5 in different functional areas of Shanghai, China. Atmos Environ 68:221–229

    CAS  Article  Google Scholar 

  • Wang H, Xu J, Zhang M, Yang Y, Shen X, Wang Y et al (2014) A study of the meteorological causes of a prolonged and severe haze episode in January 2013 over central-eastern China. Atmos Environ 98:146–157

    CAS  Article  Google Scholar 

  • Wang Z, Duan X, Liu P, Nie J, Huang N (2009) Human exposure factors of Chinese people in environmental health risk assessment. Research of Environmental Science 22:1164–1170

  • Wu S, Deng F, Niu J, Huang Q, Liu Y, Guo X (2011) Exposures to PM2.5 components and heart rate variability in taxi drivers around the Beijing 2008 Olympic Games. Sci Total Environ 409:2478–2485

    CAS  Article  Google Scholar 

  • Wu S, Deng F, Wang X, Wei H, Shima M, Huang J et al (2013) Association of lung function in a panel of young healthy adults with various chemical components of ambient fine particulate air pollution in Beijing, China. Atmos Environ 77:873–884

    CAS  Article  Google Scholar 

  • Yang L, Cheng S, Wang X, Nie W, Xu P, Gao X et al (2013) Source identification and health impact of PM2.5 in a heavily polluted urban atmosphere in China. Atmos Environ 75:265–269

    CAS  Article  Google Scholar 

  • Yin L, Niu Z, Chen X, Chen J, Xu L, Zhang F (2012) Chemical compositions of PM2.5 aerosol during haze periods in the mountainous city of Yong’an, China. J Environ Sci 24:1225–1233

    CAS  Article  Google Scholar 

  • Yu Q, Lu Y, Xiao S, Shen J, Li X, Ma W et al (2012) Commuters’ exposure to PM1 by common travel modes in Shanghai. Atmos Environ 59:39–46

    CAS  Article  Google Scholar 

  • Zhang F, Xu L, Chen J, Chen X, Niu Z, Lei T et al (2013) Chemical characteristics of PM2.5 during haze episodes in the urban of Fuzhou, China. Particuology 11:264–272

    Article  Google Scholar 

  • Zhang J, Chen J, Yang L, Sui X, Yao L, Zheng L et al (2014) Indoor PM2.5 and its chemical composition during a heavy haze–fog episode at Jinan, China. Atmos Environ 99:641–649

    CAS  Article  Google Scholar 

  • Zhao L, Wang X, He Q, Wang H, Sheng G, Chan L et al (2004) Exposure to hazardous volatile organic compounds, PM10 and CO while walking along streets in urban Guangzhou, China. Atmos Environ 38:6177–6184

    CAS  Article  Google Scholar 

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Acknowledgements

This study was supported by a scholarship from the Chinese Scholarship Council (No. 201406205010), the Environmental Protection Commonweal Industry Scientific Research Project (No. 201009032) and National Major Scientific Instrument Equipment Development Special (No. 2011YQ060111).

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  1. College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China

    Bao Qing Wang, Jian Feng Liu, Bo Wei Liu, Hong Hong Niu, Rong Hui Chen, Ze Bei Wang, Jia Jia Zhao & Zi Hui Ren

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  1. Bao Qing Wang
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Wang, B.Q., Liu, J.F., Liu, B.W. et al. Personal exposure to PM2.5 associated with heavy metals in four travel modes of Tianjin during the summer season. Environ Sci Pollut Res 24, 6667–6678 (2017). https://doi.org/10.1007/s11356-016-8179-7

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Keywords

  • Personal exposure
  • PM2.5
  • Heavy metal
  • Travel mode