Abstract
Studying the spatiotemporal variability of pollutants is necessary to identify the pollution hotspots with high health risk and enable the agencies to implement pollution abatement strategies in a targeted manner. Present study reports the spatio-temporal variability and health risk assessment (HRA) of PM2.5 (Particulate matter with aerodynamic diameter <2.5μm) and NO2 over IGP from 2019-2021. The HRA is expressed as passively smoked cigarettes (PSC) for four different health outcomes i.e., low birth weight (LBW), percentage decreased lung function (DLF) in school aged children, lung cancer (LC), and cardiovascular mortality (CM). The findings confirm very high PM2.5 and NO2 mass concentrations and high health risk over middle IGP and Delhi as compared to upper and lower IGP. Within Delhi, north Delhi region is the most polluted and at highest risk as compared to central and south Delhi. The health risk associated with PM2.5 over IGP is highest for DLF, equivalent to 21.63 PSCs daily, followed by CM (11.69), LBW (8.27) and LC (6.94). For NO2, the health risk is highest for DLF (3.09 PSCs) and CM (2.95), followed by LC (1.47) and LBW (1.04). PM2.5 and NO2 concentrations, along with the associated health risks, are highest during the post-monsoon and winter seasons and lowest during the monsoon season.
Similar content being viewed by others
Data availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
Abbreviations
- VV:
-
Vivek Vihar
- AV:
-
Anand Vihar
- ASH:
-
Ashok Nagar
- AN:
-
Arya Nagar
- BH:
-
Bhawana
- CRRI:
-
Central Road Research Institute
- DTU:
-
Delhi Technical University
- DW:
-
Dwarka sec-8
- IGI:
-
Indra Gandhi International airport
- JH:
-
Jahangirpuri
- JNS:
-
Jawaharlal Nehru stadium
- MDS:
-
Major Dhyanchand Stadium
- MD:
-
Mundka
- NA:
-
Narela
- OKH:
-
Okhla
- PPG:
-
Patparganj
- SV:
-
Soniya Vihar
- SAM:
-
Sri Aurbindo Marg
- PU:
-
Pusa
- RKP:
-
R.K. Puram
- PBH:
-
Punjabi Bagh
- AMR:
-
Amritsar
- JAL:
-
Jalandhar
- LUD:
-
Ludhiana
- PAT:
-
Patiala
- KAR:
-
Karnal
- DLI:
-
Delhi
- AGR:
-
Agra
- KAN:
-
Kanpur
- VAR:
-
Varanasi
- PAT:
-
Patna
- GAY:
-
Gaya
- ASA:
-
Asansol
- KOL:
-
Kolkata
- SIL:
-
Siliguri
- AVG:
-
Average
References
Ackermann-Liebrich, U., Felber Dietrich, D., & Joss, M. K. (2019). Respiratory and Cardiovascular Effects of NO2. In Reference Module in Earth Systems and Environmental Sciences. Elsevier. https://doi.org/10.1016/B978-0-12-409548-9.02128-X
Ambade, B., Sankar, T. K., Gupta, M., Sahu, L. K., & Gautam, S. (2023). A Comparative Study in Black Carbon Concentration and its Emission Sources in Tribal Area. Water, Air, & Soil Pollution, 234(3), 173. https://doi.org/10.1007/s11270-023-06197-9
Ambade, B., Kurwadkar, S., Sankar, T. K., & Kumar, A. (2021). Emission reduction of black carbon and polycyclic aromatic hydrocarbons during COVID-19 pandemic lockdown. Air Quality, Atmosphere & Health, 14(7), 1081–1095. https://doi.org/10.1007/s11869-021-01004-y
Ambade, B., & Sankar, T. K. (2021). Source apportionment and health risks assessment of black carbon Aerosols in an urban atmosphere in East India. Journal of Atmospheric Chemistry, 78(3), 177–191. https://doi.org/10.1007/s10874-021-09418-9
Ambade, B., Sankar, T. K., Kumar, A., Gautam, A. S., & Gautam, S. (2021). COVID-19 lockdowns reduce the Black carbon and polycyclic aromatic hydrocarbons of the Asian atmosphere: source apportionment and health hazard evaluation. Environment, Development and Sustainability, 23(8), 12252–12271. https://doi.org/10.1007/s10668-020-01167-1
Ambade, B., Sankar, T. K., Panicker, A. S., Gautam, A. S., & Gautam, S. (2021). Characterization, seasonal variation, source apportionment and health risk assessment of black carbon over an urban region of East India. Urban Climate, 38, 100896. https://doi.org/10.1016/j.uclim.2021.100896
Anenberg, S. C., Mohegh, A., Goldberg, D. L., Kerr, G. H., Brauer, M., Burkart, K., et al. (2022). Long-term trends in urban NO2 concentrations and associated paediatric asthma incidence: estimates from global datasets. The Lancet Planetary Health, 6(1), e49–e58. https://doi.org/10.1016/S2542-5196(21)00255-2
Bangar, V., Mishra, A. K., Jangid, M., & Rajput, P. (2021). Elemental Characteristics and Source-Apportionment of PM2.5 During the Post-monsoon Season in Delhi, India. Frontiers in Sustainable. Cities, 3, 648551. https://doi.org/10.3389/frsc.2021.648551
Barck, C., Lundahl, J., Halldén, G., & Bylin, G. (2005). Brief exposures to NO2 augment the allergic inflammation in asthmatics. Environmental Research, 97(1), 58–66. https://doi.org/10.1016/j.envres.2004.02.009
Belanger, K., Gent, J. F., Triche, E. W., Bracken, M. B., & Leaderer, B. P. (2006). Association of Indoor Nitrogen Dioxide Exposure with Respiratory Symptoms in Children with Asthma. American Journal of Respiratory and Critical Care Medicine, 173(3), 297–303. https://doi.org/10.1164/rccm.200408-1123OC
Bhanarkar, A., Goyal, S., Sivacoumar, R., & Chalapatirao, C. (2005). Assessment of contribution of SO and NO from different sources in Jamshedpur region. India. Atmospheric Environment, 39(40), 7745–7760. https://doi.org/10.1016/j.atmosenv.2005.07.070
Cao, Q., Rui, G., & Liang, Y. (2018). Study on PM2.5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model. BMC Public Health, 18(1), 925. https://doi.org/10.1186/s12889-018-5844-4
Chandra, B. P., Sinha, V., Hakkim, H., Kumar, A., Pawar, H., Mishra, A. K., et al. (2018). Odd–Even Traffic Rule Implementation during Winter 2016 in Delhi Did Not Reduce Traffic Emissions of VOCs, Carbon Dioxide, Methane and Carbon Monoxide. Current Science, 114(06), 1318. https://doi.org/10.18520/cs/v114/i06/1318-1325
Crutzen, P. J. (1979). The Role of NO and NO2 in the Chemistry of the Troposphere and Stratosphere. Annual Review of Earth and Planetary Sciences, 7(1), 443–472. https://doi.org/10.1146/annurev.ea.07.050179.002303
Faustini, A., Rapp, R., & Forastiere, F. (2014). Nitrogen dioxide and mortality: review and meta-analysis of long-term studies. European Respiratory Journal, 44(3), 744–753. https://doi.org/10.1183/09031936.00114713
Feng, S., Gao, D., Liao, F., Zhou, F., & Wang, X. (2016). The health effects of ambient PM2.5 and potential mechanisms. Ecotoxicology and Environmental Safety, 128, 67–74. https://doi.org/10.1016/j.ecoenv.2016.01.030
Fino, A. (2019). Air Quality Legislation. In Encyclopedia of Environmental Health (pp. 61–70). Elsevier. https://doi.org/10.1016/B978-0-12-409548-9.11045-0
Frampton, M. W., Boscia, J., Roberts, N. J., Azadniv, M., Torres, A., Cox, C., et al. (2002). Nitrogen dioxide exposure: effects on airway and blood cells. American Journal of Physiology-Lung Cellular and Molecular Physiology, 282(1), L155–L165. https://doi.org/10.1152/ajplung.2002.282.1.L155
Goel, V., Hazarika, N., Kumar, M., & Singh, V. (2021). Source apportionment of black carbon over Delhi: A case study of extreme biomass burning events and Diwali festival. Urban Climate, 39, 100926. https://doi.org/10.1016/j.uclim.2021.100926
Goel, V., Hazarika, N., Kumar, M., Singh, V., Thamban, N., & Tripathi, S. N. (2020). Variations in Black Carbon Concentration and Sources During COVID-19 Lockdown in Delhi. Chemosphere, 270. https://doi.org/10.1016/j.chemosphere.2020.129435
Goel, V., Mishra, S. K., Ahlawat, A., Sharma, C., Vijayan, N., Radhakrishnan, S. R., et al. (2018). Effect of Reduced Traffic Density on Characteristics of Particulate Matter Over Delhi. Current Science, 115(2), 315. https://doi.org/10.18520/cs/v115/i2/315-319
Goel, V., Mishra, S. K., Pal, P., Ahlawat, A., Vijayan, N., Jain, S., & Sharma, C. (2020). Influence of Chemical Aging on Physico-chemical Properties of Mineral Dust Particles: A Case Study of 2016 Dust Storms over Delhi. Environmental Pollution, 267. https://doi.org/10.1016/j.envpol.2020.115338
Gordon, T., Stanek, L. W., & Brown, J. (2014). Pollution, Air in Encyclopedia of Toxicology. In Encyclopedia of Toxicology (pp. 995–1002). Elsevier. https://doi.org/10.1016/B978-0-12-386454-3.00530-3
Hussain, A. J., Ambade, B., Sankar, T. K., Mohammad, F., Soleiman, A. A., & Gautam, S. (2023). Black carbon emissions in the rural Indian households: Sources, exposure, and associated threats. Geological Journal, 4775. https://doi.org/10.1002/gj.4775
Hussain, A. J., Sankar, T. K., Vithanage, M., Ambade, B., & Gautam, S. (2023). Black Carbon Emissions from Traffic Contribute Sustainability to Air Pollution in Urban Cities of India. Water, Air, & Soil Pollution, 234(4), 217. https://doi.org/10.1007/s11270-023-06232-9
Itahashi, S., Uno, I., Irie, H., Kurokawa, J.-I., & Ohara, T. (2018). Impacts of Biomass Burning Emissions on Tropospheric NO2 Vertical Column Density over Continental Southeast Asia. In K. P. Vadrevu, T. Ohara, & C. Justice (Eds.), Land-Atmospheric Research Applications in South and Southeast Asia (pp. 67–81). Springer International Publishing. https://doi.org/10.1007/978-3-319-67474-2_4
Jain, S., Sharma, S. K., Choudhary, N., Masiwal, R., Saxena, M., Sharma, A., et al. (2017). Chemical characteristics and source apportionment of PM2.5 using PCA/APCS, UNMIX, and PMF at an urban site of Delhi, India. Environmental Science and Pollution Research, 24(17), 14637–14656. https://doi.org/10.1007/s11356-017-8925-5
Jain, S., Sharma, S. K., Srivastava, M. K., Chaterjee, A., Singh, R. K., Saxena, M., & Mandal, T. K. (2019). Source Apportionment of PM10 Over Three Tropical Urban Atmospheres at Indo-Gangetic Plain of India: An Approach Using Different Receptor Models. Archives of Environmental Contamination and Toxicology, 76(1), 114–128. https://doi.org/10.1007/s00244-018-0572-4
Jain, S., Sharma, S. K., Srivastava, M. K., Chatterjee, A., Vijayan, N., Tripathy, S. S., et al. (2021). Chemical characterization, source apportionment and transport pathways of PM2.5 and PM10 over Indo Gangetic Plain of India. Urban Climate, 36, 100805. https://doi.org/10.1016/j.uclim.2021.100805
Jain, S., Sharma, S. K., Vijayan, N., & Mandal, T. K. (2020). Seasonal characteristics of aerosols (PM2.5 and PM10) and their source apportionment using PMF: A four year study over Delhi, India. Environmental Pollution, 262, 114337. https://doi.org/10.1016/j.envpol.2020.114337
Khodmanee, S., & Amnuaylojaroen, T. (2021). Impact of Biomass Burning on Ozone, Carbon Monoxide, and Nitrogen Dioxide in Northern Thailand. Frontiers in Environmental Science, 9, 641877. https://doi.org/10.3389/fenvs.2021.641877
Kishun, J., Kumar, A., & Singh, U. (2021). Correlates of Cigarette Smoking Among Adolescents in India. Indian Journal of Community Medicine, 46(3).
Lelieveld, J., Evans, J. S., Fnais, M., Giannadaki, D., & Pozzer, A. (2015). The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature, 525(7569), 367–371. https://doi.org/10.1038/nature15371
Mahato, S., Pal, S., & Ghosh, K. G. (2020). Effect of lockdown amid COVID-19 pandemic on air quality of the megacity Delhi. India. Science of The Total Environment, 730, 139086. https://doi.org/10.1016/j.scitotenv.2020.139086
Manchanda, C., Kumar, M., Singh, V., Faisal, M., Hazarika, N., Shukla, A., et al. (2021). Variation in chemical composition and sources of PM2.5 during the COVID-19 lockdown in Delhi. Environment International, 153, 106541. https://doi.org/10.1016/j.envint.2021.106541
Manisalidis, I., Stavropoulou, E., Stavropoulos, A., & Bezirtzoglou, E. (2020). Environmental and Health Impacts of Air Pollution: A Review. Frontiers in Public Health, 8, 14. https://doi.org/10.3389/fpubh.2020.00014
Misra, P., Takigawa, M., Khatri, P., Dhaka, S. K., Dimri, A. P., Yamaji, K., et al. (2021). Nitrogen oxides concentration and emission change detection during COVID-19 restrictions in North India. Scientific Reports, 11(1), 9800. https://doi.org/10.1038/s41598-021-87673-2
Nazaroff, W. W., & Singer, B. C. (2004). Inhalation of hazardous air pollutants from environmental tobacco smoke in US residences. Journal of Exposure Science & Environmental Epidemiology, 14(S1), S71–S77. https://doi.org/10.1038/sj.jea.7500361
Ng, M., Freeman, M. K., Fleming, T. D., Robinson, M., Dwyer-Lindgren, L., Thomson, B., et al. (2014). Smoking Prevalence and Cigarette Consumption in 187 Countries, 1980-2012. JAMA, 311(2), 183. https://doi.org/10.1001/jama.2013.284692
Ojha, N., Sharma, A., Kumar, M., Girach, I., Ansari, T. U., Sharma, S. K., et al. (2020). On the widespread enhancement in fine particulate matter across the Indo-Gangetic Plain towards winter. Scientific Reports, 10(1), 5862. https://doi.org/10.1038/s41598-020-62710-8
Pandey, A., Brauer, M., Cropper, M. L., Balakrishnan, K., Mathur, P., Dey, S., et al. (2021). Health and economic impact of air pollution in the states of India: the Global Burden of Disease Study 2019. The Lancet Planetary Health, 5(1), e25–e38. https://doi.org/10.1016/S2542-5196(20)30298-9
Pani, S. K., Wang, S.-H., Lin, N.-H., Chantara, S., Lee, C.-T., & Thepnuan, D. (2020). Black carbon over an urban atmosphere in northern peninsular Southeast Asia: Characteristics, source apportionment, and associated health risks. Environmental Pollution, 259, 113871. https://doi.org/10.1016/j.envpol.2019.113871
Poynter, M. E., Persinger, R. L., Irvin, C. G., Butnor, K. J., Van Hirtum, H., Blay, W., et al. (2006). Nitrogen dioxide enhances allergic airway inflammation and hyperresponsiveness in the mouse. American Journal of Physiology-Lung Cellular and Molecular Physiology, 290(1), L144–L152. https://doi.org/10.1152/ajplung.00131.2005
Rupakheti, D., Adhikary, B., Praveen, P. S., Rupakheti, M., Kang, S., Mahata, K. S., et al. (2017). Pre-monsoon air quality over Lumbini, a world heritage site along the Himalayan foothills. Atmospheric Chemistry and Physics, 17(18), 11041–11063. https://doi.org/10.5194/acp-17-11041-2017
Sharma, S. K., Agarwal, P., Mandal, T. K., Karapurkar, S. G., Shenoy, D. M., Peshin, S. K., et al. (2017). Study on Ambient Air Quality of Megacity Delhi, India During Odd–Even Strategy. MAPAN, 32(2), 155–165. https://doi.org/10.1007/s12647-016-0201-5
Singh, P., Roy, A., Bhasin, D., Kapoor, M., Ravi, S., & Dey, S. (2021). Crop Fires and Cardiovascular Health: A Study from North India. SSM - Population Health, 14. https://doi.org/10.1016/j.ssmph.2021.100757
Singh, S., & Gokhale, S. (2021). Source apportionment and light absorption properties of black and brown carbon aerosols in the Brahmaputra River valley region. Urban Climate, 39, 100963. https://doi.org/10.1016/j.uclim.2021.100963
Solomon, C., Christian, D. L., Chen, L. L., Welch, B. S., Kleinman, M. T., Dunham, E., et al. (2000). Effect of serial-day exposure to nitrogen dioxide on airway and blood leukocytes and lymphocyte subsets. European Respiratory Journal, 15(5), 922. https://doi.org/10.1034/j.1399-3003.2000.15e19.x
Tang, R., Zhang, X., Li, Y., & Tan, Y. (2022). Distinct black carbon at two roadside sites in Yantai: Temporal variations and influencing factors. Urban Climate, 44, 101182. https://doi.org/10.1016/j.uclim.2022.101182
Tunnicliffe, W. (1994). Effect of domestic concentrations of nitrogen dioxide on airway responses to inhaled allergen in asthmatic patients. The Lancet, 344(8939–8940), 1733–1736. https://doi.org/10.1016/S0140-6736(94)92886-X
Van der Zee, S. C., Fischer, P. H., & Hoek, G. (2016). Air pollution in perspective: Health risks of air pollution expressed in equivalent numbers of passively smoked cigarettes. Environmental Research, 148, 475–483. https://doi.org/10.1016/j.envres.2016.04.001
Wu, J., Lu, J., Min, X., & Zhang, Z. (2018). Distribution and health risks of aerosol black carbon in a representative city of the Qinghai-Tibet Plateau. Environmental Science and Pollution Research, 25(20), 19403–19412. https://doi.org/10.1007/s11356-018-2141-9
Yang, L., Li, C., & Tang, X. (2020). The Impact of PM2.5 on the Host Defense of Respiratory System. Frontiers in Cell and Developmental Biology, 8, 91. https://doi.org/10.3389/fcell.2020.00091
Acknowledgement
The Authors would like to acknowledge the IRD Grand Challenge Project grant, Indian Institute of Technology (IIT) Delhi (Grant No.428 IITD/IRD/ MI01810G), for the funding support to carry out this project. The authors also would like to thank CPCB and various SPCBs for providing the free access to the PM2.5 and NO2 mass concentration data. And a special tank to NRT VIIRS 375 m Active Fire product VNP14IMGT distributed from NASA FIRMS.
Funding
The authors states that this research was funded by the Indian Institute of Technology Delhi (IITD) Grand Challenge project (Grant No.428 IITD/IRD/ MI01810G).
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Ethics approval
This study does not include any human or animal subjects.
Competing Interests
All authors have no conflicts.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Goel, V., Kumar, A., Jain, S. et al. Spatiotemporal variability and health risk assessment of PM2.5 and NO2 over the Indo-Gangetic Plain: A three years long study (2019-21). Environ Monit Assess 195, 976 (2023). https://doi.org/10.1007/s10661-023-11558-2
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10661-023-11558-2