Abstract
The main objective of this study is to recognize the limitations of available data, its usefulness to regulate pollution sources across National Capital Region (NCR) and create winter profiles of every region. Within a network of each air quality monitoring station in Delhi-NCR winters [2019 December–2020 January (Pre-Covid), and 2020 December–2021 January (Post-Covid)], daily-averaged PM10 and PM2.5, NOx, O3, SO2, CO and NH3 levels were found to be very consistent across Delhi and the NCR. The bivariate polar plots revealed that local sources dominate PM10 and PM2.5 concentrations across all monitoring locations in Delhi-NCR. The importance of the local source's superiority aids in the measurement of concentrations. We examined the various pollutants found during the winter season across Delhi-NCR for 2019–2020–2021. Plotting bivariate polar plots can reveal the relationship between air contaminants and meteorological conditions. This technique identified the concentration level and also helps in prediction. The preliminary results also suggested that the air pollutants considerably reduced in post-covid period as compared to the pre-covid period due to the restriction of traffic and commercial activities.
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References
Carslaw D C 2014 The openair manual – open-source tools for analysing air pollution data; Manual for version 1.0, King’s College London.
Chowdhury S, Dey S, Di Girolamo L, Smith K R, Pillarisetti A and Lyapustin A 2019 Tracking ambient PM2.5 build-up in Delhi national capital region during the dry season over 15 years using a high-resolution (1 km) satellite aerosol dataset; Atmos. Environ. 204 142–150.
Datta A, Saud T, Goel A, Tiwari S, Sharma S K, Saxena M and Mandal T K 2010 Variation of ambient SO2 over Delhi; J. Atmos. Chem. 65 127–143.
Filonchyk M and Hurynovich V 2020 Validation of MODIS aerosol products with AERONET measurements of different land cover types in areas over eastern Europe and China; J. Geovisual. Spat. Anal. 4 10, https://doi.org/10.1007/s41651-020-00052-9.
Filonchyk M and Yan H 2019 Urban air pollution monitoring by ground-based stations and satellite data; Springer, China.
Ganguly N D, Ranjan R R, Joshi H P and Iyer K N 2006 Diurnal and seasonal variation of columnar ozone at Rajkot; Indian J. Radio Space Phys. 35 181–186.
Gasmi K, Abdulaziz Aljalal, Watheq Al-Basheer and Mumin Abdulahi 2017 Analysis of NOx, NO and NO2 ambient levels as a function of meteorological parameters in Dhahran, Saudi Arabia; WIT Trans. Ecol. Environ. 211 77–86.
Guttikunda S K and Gurjar B R 2012 Role of meteorology in seasonality of air pollution in megacity Delhi, India; Environ. Monit. Assess. 184 3199–3211.
Hama S M, Kumar P, Harrison R M, Bloss W J, Khare M, Mishra S K, Namdeo A, Sokhi R S, Goodman P and Sharma C 2020 Four-year assessment of ambient particulate matter and trace gases in the Delhi-NCR region of India; Sustain. Cities Soc. 54 102003.
Hazarika N, Das A, Kamal V, Anwar K, Srivastava A K and Jain V K 2019 Particle phase PAHs in the atmosphere of Delhi-NCR: With spatial distribution, source characterization and risk approximation; Atmos. Environ. 200 329–342.
Huang D and Guo H 2017 Diurnal and seasonal variations of odor and gas emissions from a naturally ventilated free-stall dairy barn on the Canadian prairies; J. Air Waste Manag. Assoc. 67(10) 1092–1105.
Jayamurugan R, Kumaravel B, Palanivelraja S and Chockalingam M P 2013 Influence of temperature, relative humidity and seasonal variability on ambient air quality in a coastal urban area; Int. J. Atmos. Sci. 2013 264046, https://doi.org/10.1155/2013/264046.
Jayaratne R, Thai P K, Christensen B, Liu X, Zing I, Lamont R, Dunbabin M D, Dawkins L C, Bertrand L and Morawska L 2021 The effect of cold-start emissions on the diurnal variation of carbon monoxide concentration in a city centre; Atmos. Environ. 245 118035.
Kendrick C, Koonce P and George L A 2015 Diurnal and seasonal variations of NO, NO2 and PM2.5 mass as a function of traffic volumes alongside an urban arterial; Atmos. Environ. 122 133–141.
Kumar P, Gulia S, Harrison R M and Khare M 2017 The influence of odd-even car trial on fine and coarse particles in Delhi; Environ. Pollut. 225 20–30.
Kumar P, Jain S, Gurjar B R, Sharma P, Khare M, Morawska L and Britter R 2013 New Directions: Can a “blue sky” return to Indian megacities?; Atmos. Environ. 71 198–201.
Kumar P, Khare M, Harrison R M, Bloss W J, Lewis A C, Coe H and Morawska L 2015 New directions: Air pollution challenges for developing megacities like Delhi; Atmos. Environ. 122 657–661.
MoHUA 2019 Handbook of urban statistics 2019; Government of India, Ministry of Housing and Urban Affairs.
Na K, Kimb Y P and Moona K C 2002 Diurnal characteristics of volatile organic compounds in the Seoul atmosphere; Atmos. Environ. 37 733–742.
Nagpure A S, Ramaswami A and Russell A 2015 Characterizing the spatial and temporal patterns of open burning of municipal solid waste (MSW) in Indian cities; Environ. Sci. Technol. 49 12,904–12,912.
Pancholi P, Kumar A, Bikundia D S and Chourasiya S 2018 An observation of seasonal and diurnal behavior of O3-NOx relationships and local/regional oxidant (OX = O3 + NO2) levels at a semi-arid urban site of western India; Sustain. Environ. Res. 28 79–89.
Petrakis M, Psiloglou B E, Paliatsos A G, Drivas L and Zotos G 2012 Annual variation of Benzene concentrations over Western Athens area during the year 2009; Conference: Adv. Meteorol. Clim. Atmos. Phys. (COMECAP 2012), pp. 1174–1178.
Pratima Kumari and Durga Toshniwal 2022 Impact of lockdown measures during COVID-19 on air quality – A case study of India; Int. J. Environ. Health Res. 32(3) 503–510.
Sharma S, Chatani S, Mahtta R, Goel A and Kumar A 2016 Sensitivity analysis of ground level ozone in India using WRF-CMAQ models; Atmos. Environ. 131 29–40.
Sharma P, Sharma P, Jain S and Kumar P 2013 An integrated statistical approach for evaluating the exceedence of criteria pollutants in the ambient air of megacity Delhi; Atmos. Environ. 70 7–17.
Sun K, Tao L, Miller D J, Pan D, Golston L M, Zondlo M A, Griffin R J, Wallace H W, Leong Y J, Yang M M, Zhang Y, Mauzerall D L and Zhu T 2017 Vehicle emissions as an important urban ammonia source in the United States and China; Environ. Sci. Technol. 51(4) 2472–2481.
Tiwari S, Srivastava A K, Bisht D S, Parmita P, Srivastava M K and Attri S D 2013 Diurnal and seasonal variations of black carbon and PM2.5 over New Delhi, India: Influence of meteorology; Atmos. Res. 125–126 50–62.
Whitehead J D, Longley I and Gallagher M W 2007 Seasonal and diurnal variation in atmospheric ammonia in an urban environment measured using a quantum cascade laser absorption spectrometer; Water Air Soil Pollut. 183 317–329.
World Health Organization (WHO) 2016 WHO global urban ambient air pollution database (update 2016); World Health Organization, Geneva.
Zalakeviciute R, Jesús López-Villada and Yves Rybarczyk 2018 Contrasted effects of relative humidity and precipitation on urban PM2.5 pollution in high elevation urban areas; Sustainability 10(6) 2064.
Acknowledgements
The authors are grateful to India Meteorological Department (IMD) for providing the facilities and the workplace for the accomplishment of this research work. The authors are also thankful to CPCB, DPCC and UPPCB for providing data.
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Deepak Sharma: Conducting experiments, software, analysis and interpretation of data, writing – original draft. V K Soni: Supervised the overall work, and provided infrastructure facilities. Subhalaxmi Pradhan: Supervision, conceptualization, reviewing and editing the manuscript.
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Communicated by Suresh Babu
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Sharma, D., Soni, V.K. & Pradhan, S. Assessment of variation in air quality over Delhi and neighbouring cities of Noida and Greater Noida. J Earth Syst Sci 131, 155 (2022). https://doi.org/10.1007/s12040-022-01902-4
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DOI: https://doi.org/10.1007/s12040-022-01902-4