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Levels of Particulate Matter, Black Carbon, and Toxic gases (O3, NO2) in Taj City Agra and their Health implications on Human Being | ||
Pollution | ||
دوره 9، شماره 3، مهر 2023، صفحه 1208-1224 اصل مقاله (2.06 M) | ||
نوع مقاله: Original Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/poll.2023.352851.1731 | ||
نویسندگان | ||
Kalpana Rajouriya؛ Stuti Dubey؛ Shailendra Pratap Singh؛ Tulika Tripathi؛ Rini John؛ Ajay Taneja* | ||
Department of Chemistry, Dr. B.R. Ambedkar University, Agra- 282002, India | ||
چکیده | ||
Real-time monitoring of Black Carbon and Particulate Matter was done by Aerosol Black Carbon Detector (ABCD) and GRIMM portable aerosol Spectrometer in Agra at five different locations (R1, R2 traffic and R3, R4, R5 residential road sites). Major portion of PM mass was contributed by PM10 followed by PM2.5 and PM1.0. Major portion of PM in number mode is contributed by PM10=PM0.25 followed by PM5.0 =PM0.5, PM1.0, and PM2.5. All the PMs mass and number concentration was highly associated with the R1 site due to the vehicular and other anthropogenic activities and was least at R5 except for PM10. The highest concentration of BC was found at R2 site followed by R1 while During the sampling events NO2 and O3 was found highest at R2 site followed by R1. The source of BC, PMs, NO2, O3 at R1& R2 may be vehicular activities, population activities, crowded area, and industrial activities. BC contribution in PM1.0 was highest followed by PM2.5. The children category in the traffic site has high PM deposition mass visualization as compared to the residential road site so they are highly affected by lung diseases instead of the residential road site children category. From health risk assessment results, it was found that no population was at non-carcinogenic risk from chronic exposure to PM10 while children may be at possible risk from acute exposure. However, cancerous risk assessment showed that both children and adult were at risk from exposure of PM2.5 and may develop cancerous diseases. | ||
کلیدواژهها | ||
Particulate Matter؛ Black Carbon؛ O3؛ MPPD؛ Health risk Assessment | ||
مراجع | ||
Ambade, B., Sankar, T.K., Kumar, A., Gautam, A.S., & Gautam, S. (2021). COVID-19 lockdowns reduce the Black carbon & polycyclic aromatic hydrocarbons of the Asian atmosphere: source apportionment & health hazard evaluation. Environment, Development & Sustainability, 23(8); 12252-12271.https://doi.org/10.1007/s10668-020-01167-1. Behera, S.N., Betha, R., Huang, X., Balasubramanian, R. (2015). Characterization & estimation of human airway deposition of size-resolved particulate-bound trace elements during a recent haze episode in Southeast Asia. Environ. Sci. Pollut. Res., 22; 4265–4280. Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T., DeAngelo, B. J., ... & Zender, C. S. (2013). Bounding the role of black carbon in the climate system: A scientific assessment. Journal of geophysical research: Atmospheres, 118(11), 5380-5552. Brugge, D., Durant, J.L., & Rioux, C. (2007). Near-highway pollutants in motor vehicle exhaust: a review of epidemiologic evidence of cardiac & pulmonary health risks. Environmental health, 6(1); 1-12.doi:10.1186/1476-069X-6-23 Greene, N.A., & Morris, V.R. (2006). Assessment of public health risks associated with atmospheric exposure to PM2.5 in Washington, DC, USA. International journal of environmental research & public health, 3(1); 86-97.https://doi.org/10.3390/ijerph2006030010 Guo, C., Zhang, Z., Lau, A. K., Lin, C. Q., Chuang, Y. C., Chan, J., ... & Lao, X. Q. (2018). Effect of long-term exposure to fine particulate matter on lung function decline & risk of chronic obstructive pulmonary disease in Taiwan: a longitudinal, cohort study. Lancet Planet. Heal 2; e114–e125. Health Effects Institute. (2019). State of Global Air 2019. Special Report. Boston, MA: Health Effects Institute. ISSN 2578-6873 © 2019 Health Effects Institute. Islam, M.S., Saha, S.C., Sauret, E., Gemci, T., Gu, Y.T. (2017). Pulmonary aerosol transport & deposition analysis in upper 17 generations of the human respiratory tract. J. Aerosol Sci., 108; 29–43. Janssen, N.H.A., Gerlofs-Nijla, M.E., Lanki, T., Salonen, R.O., Cassee, F., Hoek, G., Fischer, P., Brunekreef, B., & Krzyzanowsk, M. (2012). Health effects of black carbon. World Health Organization, Regional Office for Europe. Kam, W., Liacos, J.W., Schauer, J.J., Delfino, R.J., & Sioutas, C. (2012). Size-segregated composition of particulate matter (PM)) in major roadways & surface streets. Atmospheric Environment, 55; 90-97. Krecl, P., Targino, A.C., Landi, T.P., & Ketzel, M. (2018). Determination of black carbon, PM2.5, particle number & NOx emission factors from roadside measurements & their implications for emission inventory development. Atmospheric Environment, 186; 229-240. https://doi.org/10.1016/j.atmosenv.2018.05.042 Kulshrestha, A., Satsangi, P.G., Masih, J., & Taneja, A. (2009). Metal concentration of PM2.5and PM10 particles & seasonal variations in urban & rural environment of Agra, India. Science of the Total Environment, 407; 6196–6204.https://doi.org/10.1016/j.scitotenv.2009 Kumar, P., Morawska, L., Birmili, W., Paasonen, P., Hu, M., Kulmala, M., Harrison, R.M., Norford, L., & Britter, R. (2014). Ultrafine particles in cities. Environment International, 66; 1-10. https://doi.org/10.1016/j.envint.2014.01.013 Kumar Manoj, N., Srimuruganandam, B., &Nagendra, S. S. (2019). Application of multiple-path particle dosimetry model for quantifying age specified deposition of particulate matter in human airway. Ecotoxicology & Environmental Safety 168, 241-248. Lok Sabha, Government of India. (2019). Protection of Monuments. Parliam, India LokSabha, Minist.Cult. MadhaviLatha, K., & Badarinath, K.V.S. (2005). Environmental pollution due to black carbon aerosols & its impacts in a tropical urban city. Journal of Quantitative Spectroscopy & Radiative Transfer, 92; 311–319. https://doi.org/10.1016/j.jqsrt.2004.07.026 Manigrasso, M., Vernale, C., & Avino, P. (2017). Traffic aerosol lobar doses deposited in the human respiratory system. Environ. Sci. Pollut. Res. 24; 13866–13873. Mills, I.C., Atkinson, R.W., Kang, S., Walton, H., & Andersson, H.R. (2015). Quantitative systematic review of the associations between short-term exposure to nitrogen dioxide & mortality & hospital admissions.BMJ Open 5:e006946, doi:10.1136/bmjopen-2014-006946. Nagar, P.K., Gargava, P., Shukla, V.K., Sharma, M., Pathak, A.K., & Singh, D. (2021). Multi-pollutant air quality analyses & apportionment of sources in three particle size categories at Taj Mahal, Agra. Atmospheric Pollution Research, 12(1); 210-218.https://doi.org/10.1016/j.apr.2020.09.001 Pant, P., & Harrison, R.M. (2013). Estimation of the contribution of road traffic emissions to particulate matter concentrations from field measurements: A review. Atmospheric environment, 77; 78-97.http://dx.doi.org/10.1016/j.atmosenv.2013.04.028 Rajouriya, K., Rohra, H., & Taneja, A. (2020). Levels of fine particulate matter bound trace metals in air of glass industrial area; Firozabad. Pollution, 6(3); 555-568.https://dx.doi.org/10.22059/poll.2020.294483.728 Safai, P.D., Kewat, S., Praveen, P.S., Rao, P.S.P., Momin, G.A., Ali, K., & Devara, P.C.S. (2007). Seasonal variation of black carbon aerosols over a tropical urban city of Pune, India. Atmospheric environment, 41; 2699–2709. https://doi.org/10.1016/j.atmosenv.2006.11.044 Thorpe, A.J., Harrison, R.M., Boulter, P.G., & McCrae, I.S. (2007). Estimation of particle resuspension source strength on a major London Road. Atmospheric Environment, 41; 8007-8020. Tiwari, R., Singh, P.P., & Taneja, A. (2020). Chemical characterization of particulate matter at traffic prone roadside environment in Agra, India. Pollution, 6(2); 247-262. 10.22059/poll.2019.289418.683 U.S. Energy Information Administration, (2016). International Energy Outlook 2016: With Projections to 2040. http://www.eia.gov/forecasts/ieo, accessed 28 Apr. 2018. United Nations, Department of Economic & Social Affairs, Population Division, (2015). World Urbanization Prospects: The 2014 Revision, (ST/ESA/SER.A/366). https://esa.un.org/unpd/wup/Publications/Files/WUP2014-Report.pdf, accessed 28 Apr. 2018. USEPA (1997). United State Environmental Protection Agency. Exposure factors Handbook. http://www.epa.gov/ncea/expofac.htm USEPA (1988). Human health risk assessment protocol for hazardous waste combustion facilities .http://www.epa.gov/epaoswer/hazwaste/combust/risk.htm. USEPA. (2014). Human Health Evaluation Manual, Supplemental Guidance: Update of Standard Default Exposure Factors, OSWER Directive 9200.1-120, Feb 6, 2014, U.S. Environmental Protection Agency, Washington D.C., pp. 20460. Venkatachari, P., Zhou, L., Hopke, P.K., Felton, D., Rattigan, O.V., Schwab, J.J., & Demerjian, K.L. (2006). Spatial & temporal variability of black carbon in New York City. Journal of Geophysical Research: Atmospheres 111,D10S05.doi:10.1029/2005JD006314. WHO 2016 Ambient air pollution: A global assessment of exposure & burden of disease, ISBN 9789241511353. WHO (1999) Principles for the assessment of risks to human health from exposure to chemicals. Environmental Health Criteria 210. Geneva, Switzerland. Xie, M., Zhu, K., Wang, T., Chen, P., Han, Y., Li, S., Zhuang, B., & Shu, L. (2016). Temporal characterization & regional contribution to O3 & NOxat an urban & a suburban site in Nanjing, China. Science of the total Environment, 551–552; 533–545. https://doi.org/10.1016/j.scitotenv.2016.02.047. Zhao, Y., Wang, S., Lang, L., Huang, C., Ma, W., & Lin, H. (2017). Ambient fine & coarse particulate matter pollution & respiratory morbidity in Dongguan, China. Environ. Pollut., 222; 126–131. https://doi.org/10.1016/j.envpol.2016.12.070 | ||
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