Abstract
Several major Indian cities experience elevated PM2.5 concentrations, particularly during the winter season. Effective air quality management in these densely populated urban areas necessitates a comprehensive understanding of the diverse emission sources contributing to air pollution. This study investigates PM2.5 pollution in 53 million-plus population cities (MPPC’s) across India during the winter of 2015–2016 utilizing the Weather Research and Forecasting model coupled with chemistry (WRF-Chem). Multiple model simulations were employed to study the impact of various source sectors on local PM2.5 pollution and their emissions in these cities. The findings indicate significant contributions to local PM2.5 pollution from major emission source sectors in MPPCs. The influence of PM2.5 pollution plumes originating from these cities on regional PM2.5 pollution in India is evident across all sectors. In MPPCs situated in the east, north, and central regions of India, the primary contributors to local PM2.5 pollution include residential and transportation sectors, alongside energy sectors in specific cities marked by elevated emissions from power plants. In the MPPCs of western India, the industrial and energy sectors are identified as the primary contributors to local PM2.5 pollution. Meanwhile, in the MPPCs of south India, the major contributors are identified as industrial and residential sectors. In a comprehensive overview encompassing 53 MPPCs, the primary contributors to local PM2.5 pollution are identified as follows: the energy sector in 7 cities, the industrial sector in 8 cities, the residential sector in 29 cities, and the transportation sector in 9 cities. The correlation between PM2.5 pollution loadings and meteorological parameters reveals that PM2.5 pollution levels in MPPCs are influenced by both local emissions and meteorological factors. Specifically, wind speed and boundary layer height play critical roles in regulating the dispersion of pollution. Consequently, regulating emissions from these cities effectively requires consideration of both the primary emission source sectors and the prevailing meteorological conditions specific to each city's geographical location.
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References
Brasseur GP, Jacob DJ (2017) Modeling of atmospheric chemistry, 1st edn. Cambridge University Press
Buchholz RR, Emmons LK, Tilmes S (2019) CESM21/CAM-chem instantaneous output for boundary conditions. UCAR/NCAR - Atmospheric Chemistry Observations and Modeling Laboratory. https://doi.org/10.5065/NMP7-EP60
Census of India (2011) Office of the Registrar General & Census Commissioner, India: provisional population totals. https://censusindia.gov.in/census.website/. Accessed 1 Feb 2024
Chang JC, Hanna SR (2004) Air quality model performance evaluation. Meteorol Atmos Phys 87:167–196. https://doi.org/10.1007/s00703-003-0070-7
CPCB (2011) Air quality monitoring, emission inventory and source apportionment study for Indian cities. National Summary Report. https://cpcb.nic.in/displaypdf.php?id=RmluYWxOYXRpb25hbFN1bW1hcnkucGRm. Accessed 18 July 2024
CPCB (2016) CPCB Bulletin. https://cpcb.nic.in/openpdffile.php?id=TGF0ZXN0RmlsZS9MYXRlc3RfMTIzX1NVTU1BUllfQk9PS19GUy5wZGY=. Accessed 1 Feb 2024
Deshmukh DK, Deb MK, Tsai YI, Mkoma SL (2010) Atmospheric ionic species in PM2.5 and PM1 aerosols in the ambient air of eastern central India. J Atmos Chem 66:81–100. https://doi.org/10.1007/s10874-011-9194-1
Deshmukh DK, Deb MK, Tsai YI, Mkoma SL (2011) Water soluble ions in PM2.5 and PM1 aerosols in Durg City, Chhattisgarh, India. Aerosol Air Qual Res 11:696–708. https://doi.org/10.4209/aaqr.2011.03.0023
Devaraj S, Tiwari S, Ramaraju HK, Dumka UC, Sateesh M, Parmita P, Shivashankara GP (2019) Spatial and temporal variation of atmospheric particulate matter in Bangalore: a technology-intensive region in India. Arch Environ Contam Toxicol 77:214–222. https://doi.org/10.1007/s00244-019-00643-8
Garg A, Shukla PR, Kapshe M (2006) The sectoral trends of multigas emissions inventory of India. Atmos Environ 40:4608–4620. https://doi.org/10.1016/j.atmosenv.2006.03.045
GBD MAPS (2018) GBD MAPS Working Group—burden of disease attributable to major air pollution sources in India, Special Report 21, Boston, MA: Health Effects Institute. https://www.healtheffects.org/system/files/GBD-MAPS-SpecRep21-India-revised_0.pdf. Accessed 1 Feb 2024
Govardhan G, Ghude SD, Kumar R, Sharma S, Gunwani P, Jena C, Yadav P, Ingle S, Debnath S, Pawar P, Acharja P, Jat R, Kalita G, Ambulkar R, Kulkarni S, Kaginalkar A, Soni VK, Nanjundiah RS, Rajeevan M (2024) Decision Support System version 1.0 (DSS v1.0) for air quality management in Delhi, India. Geosci Model Dev 17:2617–2640. https://doi.org/10.5194/gmd-17-2617-2024
Grell GA, Dévényi D (2002) A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys Res Lett 29:38-1–38-4. https://doi.org/10.1029/2002gl015311
Guenther A, Karl T, Harley P, Weidinmyer C, Palmer PI, Geron C (2006) Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature). Atmos Chem Phys 6:3181–3210. https://doi.org/10.5194/acp-6-3181-2006
Gulia S, Shiva Nagendra SM, Khare M, Khanna I (2015) Urban air quality management—a review. Atmos Pollut Res 6:286–304. https://doi.org/10.5094/APR.2015.033
Guo H, Kota SH, Sahu SK, Hu J, Ying Q, Gao A, Zhang H (2017) Source apportionment of PM2.5 in North India using source-oriented air quality models. Environ Pollut 231:426–436. https://doi.org/10.1016/j.envpol.2017.08.016
Gurjar BR, Butler TM, Lawrence MG, Lelieveld J (2008) Evaluation of emissions and air quality in megacities. Atmos Environ 42:1593–1606. https://doi.org/10.1016/j.atmosenv.2007.10.048
Gurjar BR, Ravindra K, Nagpure AS (2016) Air pollution trends over Indian megacities and their local-to-global implications. Atmos Environ 142:475–495. https://doi.org/10.1016/j.atmosenv.2016.06.030
Guttikunda SK, Goel R, Mohan D, Tiwari G, Gadepalli R (2015) Particulate and gaseous emissions in two coastal cities—Chennai and Vishakhapatnam, India. Air Qual Atmos Health 8:559–572. https://doi.org/10.1007/s11869-014-0303-6
Hammer MS, Van Donkelaar A, Li C, Lyapustin A, Sayer AM, Hsu NC, Levy RC, Garay MJ, Kalashnikova OV, Kahn RA, Brauer M, Apte JS, Henze DK, Zhang L, Zhang Q, Ford B, Pierce JR, Martin RV (2020) Global estimates and long-term trends of fine particulate matter concentrations (1998–2018). Environ Sci Technol 54:7879–7890. https://doi.org/10.1021/acs.est.0c01764
Han L, Zhou W, Li W, Li L (2014) Impact of urbanization level on urban air quality: a case of fine particles (PM2.5) in Chinese cities. Environ Pollut 194:163–170. https://doi.org/10.1016/j.envpol.2014.07.022
IQAir (2020) World Air Quality Report, Region & City PM2.5 Ranking. https://www.iqair.com/world-most-polluted-cities. Accessed 10 Feb 2024
Janjić ZI (1994) The step-mountain eta coordinate model: further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon Weather Rev 122:927–945. https://doi.org/10.1175/1520-0493(1994)122%3c0927:TSMECM%3e2.0.CO;2
Janjić ZI (2001) Nonsingular implementation of the Mellor–Yamada level 2.5 scheme in the NCEP Meso model. NCEP Office Note 437
Janssens-Maenhout G, Crippa M, Guizzardi D, Dentener F, Muntean M, Pouliot G, Keating T, Zhang Q, Kurokawa J, Wankmüller R, Denier Van Der Gon H, Kuenen JJP, Klimont Z, Frost G, Darras S, Koffi B, Li M (2015) HTAP_v2.2: a mosaic of regional and global emission grid maps for 2008 and 2010 to study hemispheric transport of air pollution. Atmos Chem Phys 15:11411–11432. https://doi.org/10.5194/acp-15-11411-2015
Jat R, Gurjar BR (2021) Contribution of different source sectors and source regions of Indo-Gangetic Plain in India to PM2.5 pollution and its short-term health impacts during peak polluted winter. Atmos Pollut Res 12:89–100. https://doi.org/10.1016/j.apr.2021.02.016
Jat R, Gurjar BR, Lowe D (2021) Regional pollution loading in winter months over India using high resolution WRF-Chem simulation. Atmos Res 249:105326. https://doi.org/10.1016/j.atmosres.2020.105326
Jena C, Ghude SD, Kumar R, Debnath S, Govardhan G, Soni VK, Kulkarni SH, Beig G, Nanjundiah RS, Rajeevan M (2021) Performance of high resolution (400 m) PM2.5 forecast over Delhi. Sci Rep 11:4104. https://doi.org/10.1038/s41598-021-83467-8
Kar J, Deeter MN, Fishman J, Liu Z, Omar A, Creilson JK, Trepte CR, Vaughan MA, Winker DM (2010) Wintertime pollution over the Eastern Indo-Gangetic Plains as observed from MOPITT, CALIPSO and tropospheric ozone residual data. Atmos Chem Phys 10:12273–12283. https://doi.org/10.5194/acp-10-12273-2010
Kumar A, Yadav IC, Shukla A, Devi NL (2020) Seasonal variation of PM2.5 in the central Indo-Gangetic Plain (Patna) of India: chemical characterization and source assessment. SN Appl Sci 2:1366. https://doi.org/10.1007/s42452-020-3160-y
Lawrence MG, Lelieveld J (2010) Atmospheric pollutant outflow from southern Asia: a review. Atmos Chem Phys 10:11017–11096. https://doi.org/10.5194/acp-10-11017-2010
Lu Z, Zhang Q, Streets DG (2011) Sulfur dioxide and primary carbonaceous aerosol emissions in China and India, 1996–2010. Atmos Chem Phys 11:9839–9864. https://doi.org/10.5194/acp-11-9839-2011
Majumdar D, Purohit P, Bhanarkar AD, Rao PS, Rafaj P, Amann M, Sander R, Pakrashi A, Srivastava A (2020) Managing future air quality in megacities: emission inventory and scenario analysis for the Kolkata Metropolitan City, India. Atmos Environ 222:117135. https://doi.org/10.1016/j.atmosenv.2019.117135
Mangaraj P, Sahu SK, Beig G (2024) Development of emission inventory for air quality assessment and mitigation strategies over most populous Indian megacity, Mumbai. Urban Clim 55:101928. https://doi.org/10.1016/j.uclim.2024.101928
Marrapu P, Cheng Y, Beig G, Sahu S, Srinivas R, Carmichael GR (2014) Air quality in Delhi during the Commonwealth Games. Atmos Chem Phys 14:10619–10630. https://doi.org/10.5194/acp-14-10619-2014
Mellor GL, Yamada T (1982) Development of a turbulence closure model for geophysical fluid problems. Rev Geophys Space Phys 20:851–875. https://doi.org/10.1029/RG020i004p00851
Monin AS, Obukhov AM (1954) Basic laws of turbulent mixing in the surface layer of the atmosphere. Contrib Geophys Inst Acad Sci 24:163–187
Nidzgorska-Lencewicz J, Czarnecka M (2020) Thermal inversion and particulate matter concentration in Wrocław in winter season. Atmosphere 11:1–13. https://doi.org/10.3390/atmos11121351
Pandey P, Khan AH, Verma AK, Singh KA, Mathur N, Kisku GC, Barman SC (2012) Seasonal trends of PM2.5 and PM10 in ambient air and their correlation in ambient air of Lucknow City, India. Bull Environ Contam Toxicol 88:265–270. https://doi.org/10.1007/s00128-011-0466-x
Pandey A, Sadavarte P, Rao AB, Venkataraman C (2014) Trends in multi-pollutant emissions from a technology-linked inventory for India: II. Residential, agricultural and informal industry sectors. Atmos Environ 99:341–352. https://doi.org/10.1016/j.atmosenv.2014.09.080
Pandey A, Brauer M, Cropper ML, Balakrishnan K, Mathur P, Dey S, Turkgulu B, Kumar GA, Khare M, Beig G, Gupta T, Krishnankutty RP, Causey K, Cohen AJ, Bhargava S, Aggarwal AN, Agrawal A, Awasthi S, Bennitt F, Bhagwat S, Bhanumati P, Burkart K, Chakma JK, Chiles TC, Chowdhury S, Christopher DJ, Dey S, Fisher S, Fraumeni B, Fuller R, Ghoshal AG, Golechha MJ, Gupta PC, Gupta R, Gupta R, Gupta S, Guttikunda S, Hanrahan D, Harikrishnan S, Jeemon P, Joshi TK, Kant R, Kant S, Kaur T, Koul PA, Kumar P, Kumar R, Larson SL, Lodha R, Madhipatla KK, Mahesh PA, Malhotra R, Managi S, Martin K, Mathai M, Mathew JL, Mehrotra R, Mohan BVM, Mohan V, Mukhopadhyay S, Mutreja P, Naik N, Nair S, Pandian JD, Pant P, Perianayagam A, Prabhakaran D, Prabhakaran P, Rath GK, Ravi S, Roy A, Sabde YD, Salvi S, Sambandam S, Sharma B, Sharma M, Sharma S, Sharma RS, Shrivastava A, Singh S, Singh V, Smith R, Stanaway JD, Taghian G, Tandon N, Thakur JS, Thomas NJ, Toteja GS, Varghese CM, Venkataraman C, Venugopal KN, Walker KD, Watson AY, Wozniak S, Xavier D, Yadama GN, Yadav G, Shukla DK, Bekedam HJ, Reddy KS, Guleria R, Vos T, Lim SS, Dandona R, Kumar S, Kumar Pushpam Landrigan PJ, Dandona L (2021) Health and economic impact of air pollution in the states of India: the Global Burden of Disease Study 2019. Lancet Planet Health 5:e25–e38. https://doi.org/10.1016/S2542-5196(20)30298-9
Pathak AK, Sharma M, Nagar PK (2020) A framework for PM2.5 constituents-based (including PAHs) emission inventory and source toxicity for priority controls: a case study of Delhi, India. Chemosphere 255:126971. https://doi.org/10.1016/j.chemosphere.2020.126971
Plain E, Carmichael V (1998) Inhalable particle characterization during a late winter period in Quesnel, British Columbia. Ministry of Environment, Lands and Parks, Williams Lake, British Columbia
Ravindra K, Sidhu MK, Mor S, John S, Pyne S (2016) Air pollution in India: bridging the gap between science and policy. J Hazard Toxic Radioact Waste 20:A4015003. https://doi.org/10.1061/(ASCE)HZ.2153-5515.0000303
Ravindra K, Singh T, Pandey V, Mor S (2020) Air pollution trend in Chandigarh city situated in Indo-Gangetic Plains: understanding seasonality and impact of mitigation strategies. Sci Total Environ 729:138717. https://doi.org/10.1016/j.scitotenv.2020.138717
Reddington CL, Conibear L, Knote C, Silver BJ, Li YJ, Chan CK, Arnold SR, Spracklen DV (2019) Exploring the impacts of anthropogenic emission sectors on PM2.5 and human health in South and East Asia. Atmos Chem Phys 19:11887–11910. https://doi.org/10.5194/acp-19-11887-2019
Sadavarte P, Venkataraman C (2014) Trends in multi-pollutant emissions from a technology-linked inventory for India: I. Industry and transport sectors. Atmos Environ 99:353–364. https://doi.org/10.1016/j.atmosenv.2014.09.081
Saini P, Sharma M (2020) Cause and age-specific premature mortality attributable to PM2.5 exposure: an analysis for Million-Plus Indian cities. Sci Total Environ 710:135230. https://doi.org/10.1016/j.scitotenv.2019.135230
Singh N, Agarwal S, Sharma S, Chatani S, Ramanathan V (2021) Air pollution over India: causal factors for the high pollution with implications for mitigation. ACS Earth Space Chem 5:3297–3312. https://doi.org/10.1021/acsearthspacechem.1c00170
Spak SN, Holloway T (2009) Seasonality of speciated aerosol transport over the Great Lakes region. J Geophys Res Atmos 114:1–18. https://doi.org/10.1029/2008JD010598
Sreekanth V, Mahesh B, Niranjan K (2018) Gradients in PM2.5 over India: five city study. Urban Clim 25:99–108. https://doi.org/10.1016/j.uclim.2018.06.001
Sujatha P, Mahalakshmi DV, Ramiz A, Rao PVN, Naidu CV (2016) Ventilation coefficient and boundary layer height impact on urban air quality. Cogent Environ Sci 2:1–9. https://doi.org/10.1080/23311843.2015.1125284
UN (2015) United Nations, Department of Economic and Social Affairs Population Division, 2015-World Urbanization Prospects: the 2014 revision. https://population.un.org/wup/Publications/Files/WUP2014-Report.pdf. Accessed 10 Feb 2024
Upadhyay A, Dey S, Chowdhury S, Goyal P (2018) Expected health benefits from mitigation of emissions from major anthropogenic PM2.5 sources in India: statistics at state level. Environ Pollut 242:1817–1826. https://doi.org/10.1016/j.envpol.2018.07.085
Venkataraman C, Brauer M, Tibrewal K, Sadavarte P, Ma Q, Cohen A, Chaliyakunnel S, Frostad J, Klimont Z, Martin R, Millet D, Philip S, Walker K, Wang S (2018) Source influence on emission pathways and ambient PM2.5 pollution over India (2015–2050). Atmos Chem Phys 18:8017–8039. https://doi.org/10.5194/acp-18-8017-2018
Wang F, Zheng P, Dai J, Wang H, Wang R (2019a) Fault tree analysis of the causes of urban smog events associated with vehicle exhaust emissions: A case study in Jinan, China. Sci Total Environ 668:245–253. https://doi.org/10.1016/j.scitotenv.2019.02.348
Wang Q, Kwan MP, Zhou K, Fan J, Wang Y, Zhan D (2019b) The impacts of urbanization on fine particulate matter (PM2.5) concentrations: empirical evidence from 135 countries worldwide. Environ Pollut 247:989–998. https://doi.org/10.1016/j.envpol.2019.01.086
Wesely ML (1989) Parameterization of surface resistances to gaseous dry deposition in regional-scale numerical models. Atmos Environ 23:1293–1304. https://doi.org/10.1016/0004-6981(89)90153-4
WHO (2018) WHO Global Ambient Air Quality Database (update 2018). World Health Organization, Geneva, Switzerland. https://www.who.int/airpollution/data/cities/en/. Accessed 10 Feb 2024
Wiedinmyer C, Akagi SK, Yokelson RJ, Emmons LK, Al-Saadi JA, Orlando JJ, Soja AJ (2011) The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning. Geosci Model Dev 4:625–641. https://doi.org/10.5194/gmd-4-625-2011
Yu S, Eder B, Dennis R, Chu SH, Schwartz SE (2006) New unbiased symmetric metrics for evaluation of air quality models. Atmos Sci Lett 7:26–34. https://doi.org/10.1002/asl.125
Zaveri RA, Peters LK (1999) A new lumped structure photochemical mechanism for large-scale applications. J Geophys Res Atmos 104:30387–30415. https://doi.org/10.1029/1999JD900876
Zaveri RA, Easter RC, Fast JD, Peters LK (2008) Model for simulating aerosol interactions and chemistry (MOSAIC). J Geophys Res Atmos 113:1–29. https://doi.org/10.1029/2007JD008782
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Jat, R., Gurjar, B.R., Ghude, S.D. et al. Wintertime source apportionment of PM2.5 pollution in million plus population cities of India using WRF-Chem simulation. Model. Earth Syst. Environ. (2024). https://doi.org/10.1007/s40808-024-02119-8
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DOI: https://doi.org/10.1007/s40808-024-02119-8