Air Quality Mapping and Urban Planning for Sustainable Urban Ecology: A Case Study of Chandigarh, India
DOI:
https://doi.org/10.12775/EQ.2024.020Keywords
Chandigarh, vehicular traffic, air quality maps, GIS, AQI, PM2.5, PM10Abstract
In the fast urbanizing world, it has become vital to study urban ecology so as to understand where and how anthropogenic activities impair the urban environment, including air quality; and how living conditions can be improved by urban planning without mortifying urban ecology. This may require innovative technological ideas to efficiently and judiciously utilize the limited urban space. Air quality mapping using Geographic Information System (GIS) provides one such effective tool to urban planners to identify and target specific areas for air quality management in urban setting. In the present study, the air quality mapping of a well-planned city of Chandigarh (India) with proper environmental management zoning has revealed that the air quality index (AQI) of the city falls under “Moderately Polluted (101-200)” category primarily due to annual average concentrations of (range: 44.17-68.87; overall: 56.64) and (range: 99.32-129.39; overall: 111.92) being higher than the permissible levels of 40 and 60 respectively as per Indian standards at all locations as well as for overall city. The study has identified vehicular traffic as the primary reason responsible for the moderately polluted air quality of the city that has the highest vehicle density (878 per 1,000 population) in India. The paper has also suggested measures that may be incorporated during designing and developing the physical and social infrastructures in the city so as to judiciously and efficiently utilize the limited urban space.
References
Al-Alola S.S., Alkadi I.I., Alogayell H.M., Mohamed S.A. & Ismail I.Y., 2022, Air quality estimation using remote sensing and GIS-spatial technologies along Al-Shamal train pathway, Al-Qurayyat City in Saudi Arabia. Environmental and Sustainability Indicators 15, 100184. https://doi.org/10.1016/j.indic.2022.100184
Badach J., Voordeckers D., Nyka L. & Acker M.V., 2020, A framework for air quality management zones - useful GIS-based tool for urban planning: case studies in Antwerp and Gdańsk. Building and Environment, 174, 106743. https://doi.org/10.1016/j.buildenv.2020.106743
Beelen, R., Raaschou-Nielsen O., Stafoggia M. et al., 2014, Effects of long-term exposure to air pollution on natural-cause mortality: An analysis of 22 European cohorts within the multicentre ESCAPE project. The Lancet 383(9919): 785-795. https://doi.org/10.1016/S0140-6736(13)62158-3
Chen J., Zheng H., Wang W., Liu H., Lu L., Bao L. & Ren L., 2006b, Resuspension method for road surface dust collection and aerodynamic size distribution characterization. China Particuology 4(6): 300-303. https://doi.org/10.1016/S1672-2515(07)60279-6
Chen R.S., Kang E.S., Ji X.B., Yang J.P., Zhang Z.H. & Yang Y., 2006a, Temporal variations of CO2 concentration near land surface and its response to meteorological variables in Heihe river basin, northwest China. Journal of Environmental Sciences 18(4): 708-715. Available at: https://www.researchgate.net/publication/6717134_Temporal_variations_of_CO2_concentration_near_land_surface_and_its_response_to_meteorological_variables_in_Heihe_River_Basin_northwest_China
CPCB, 2009, National ambient air quality standards. Central Pollution Control Board, N. Delhi. https://cpcb.nic.in/uploads/National_Ambient_Air_Quality_Standards.pdf
CPCB, 2015, National air quality index. Central PPOLLUTION Control Board, N. Delhi. https://cpcb.nic.in/National-Air-Quality-Index/
Deswal S. & Deswal A., 2012, A basic course in environmental studies. Dhanpat Rai & Co.(P) Ltd. Delhi.
Deswal S. & Verma V., 2016, Annual and seasonal variations in air quality index of the national capital region, India. International Journal of Environmental and Ecological Engineering 10(10): 1000-1005. doi.org/10.5281/zenodo.1127232
EPA, 2020, Regulations to reduce mobile source pollution. Available at: https://www.epa.gov/mobile-source-pollution/regulations-reduce-mobile-source-pollution(2020)
Ezzati M., Lopez A.D., Rodgers A., Hoorn S.V. & Murray, C.J., 2002, Selected major risk factors and global and regional burden of disease. The Lancet 360(9343): 1347-1360. https://doi.org/10.1016/S0140-6736(02)11403-6
Garg B.D., Cadle S.H., Mulawa P.A., Groblicki P.J., Laroo C. & Parr G.A., 2000, Brake wear particulate matter emissions. Environmental Science and Technology 34(21): 4463-4469. https://doi.org/10.1021/es001108h
Geng, G., Zheng Y., Zhang Q., Xue T., Zhao H., Tong D., Zheng B., Li F., Hong C., He K. & Davis S.J., 2012, Drivers of PM2.5 air pollution deaths in China 2002–2017. Nat. Geosci. 14: 645-650. https://doi.org/10.1038/s41561-021-00792-3
Gualtieri G. & Tartaglia M., 1997, A GIS-based model for predicting air pollution from urban traffic. IFAC Proceedings Volumes 30(8): 995-1000. https://doi.org/10.1016/S1474-6670(17)43950-4
Gustafsson M., Blomqvist G., Gudmundsson A. et al., 2008, Properties and toxicological effects of particles from the interaction between tyres, road pavement and winter traction material. Science of The Total Environment 393(2-3): 226-240. https://doi.org/10.1016/j.scitotenv.2007.12.030
IBEF, 2023, India brand equity foundation report. https://www.ibef.org/states/chandigarh (Accessed on 02.05.2023).
Iijima A., Sato K., Yano K., Tago H., Kato M., Kimura H. & Furuuta N., 2007, Particle size and composition distribution analysis of automotive brake abrasion dusts for the evaluation of antimony sources of airborne particulate matter. Atmospheric Environment 41(23): 4908-4919. https://doi.org/10.1016/j.atmosenv.2007.02.005
ISFR, 2012, Indian state forest report-2021. Forest Survey of India, Ministry of Environment Forest and Climate Change. https://fsi.nic.in/forest-report-2021-details
Kallankandy S. & Deswal S., 2023, A comprehensive review of noise measurement, standards, assessment, geospatial mapping and public health. Ecological Questions 34(3): 1-26. http://dx.doi.org/10.12775/EQ.2023.035
Kampa M. & Castanas E., 2008, Human health effects of air pollution. Environmental Pollution 151(2): 362-367. https://doi.org/10.1016/j.envpol.2007.06.012
Karagulian F., Belis C.A., Dora C.F.C., Pruss-Ustun A.M., Bonjour S., Adair-Rohani H. & Amann M., 2015, Contributions to cities’ ambient particulate matter (PM): a systematic review of local source contributions at global level. Atmospheric Environment 120: 475-483. https://doi.org/10.1016/j.atmosenv.2015.08.087
Kumar A., Gupta I., Brandt J., Kumar R., Dikshit A.K. & Patil R.S., 2016, Air quality mapping using GIS and economic evaluation of health impact for Mumbai City, India. Journal of the Air & Waste Management Association 66(5): 470-481. http://doi.org/10.1080/10962247.2016.1143887
Kumar S. & Maharana P., 2020, Air quality and its impact on urban environment. Urban Ecology: 185-200. https://doi.org/10.1016/B978-0-12-820730-7.00011-2
Manisalidis I., Stavropoulou E., Stavropoulos A. & Bezirtzoglou E., 2020, Environmental and health impacts of air pollution: a review. Frontiers in Public Health 8: 1-14. https://www.frontiersin.org/articles/10.3389/fpubh.2020.00014/full
Nowak D.J., Hirabayashi S., Bodine A. & Greenfield E., 2014, Tree and forest effects on air quality and human health in the United States. Environ. Pollut. 193: 119-129. https://doi.org/10.1016/j.envpol.2014.05.028
Nowak D. J., Hirabayashi S., Doyle M., McGovern M. & Pasher J., 2018, Air pollution removal by urban forests in Canada and its effect on air quality and human health. Urban Forestry & Urban Greening 29: 40-48. https://doi.org/10.1016/j.ufug.2017.10.019
Parmar R.S., Satsangi G.S., Kumari M., Lakhani A., Srivastava S.S. & Prakash S., 2001, Study of size distribution of atmospheric aerosol at Agra. Atmospheric Environment 35(4): 693-702. https://doi.org/10.1016/s1352-2310(00)00317-4
Platt S., Haddad I., Pieber S. et al., 2014, Two-stroke scooters are a dominant source of air pollution in many cities. Nature Communications 5, 3749. https://doi.org/10.1038/ncomms4749
SoER, 2016, State of environment report: Chandigarh-2016. ENVIS Centre, Dept. of Environment, Chandigarh. https://chandigarhenvis.gov.in/state-of-environment-report-2016
Uherek, E., Halenka T., Borken-Kleefeld J. et al., 2010, Transport impacts on atmosphere and climate: land transport. Atmospheric Environment 44(37): 4772-4816. https://doi.org/10.1016/j.atmosenv.2010.01.002
UN DESA, 2018, Revision of world urbanization prospects. Population Division of United Nation Department of Economic and Social Affairs. Available at: https://www.un.org/development/desa/en/news/population/2018-revision-of-world-urbanization-prospects.html#:~:text=Today%2C%2055%25%20of%20the%20world's,increase%20to%2068%25%20by%202050
Varrica D., Bardelli F., Dongarra G. & Tamburo E., 2013, Speciation of Sb in airborne particulate matter, vehicle brake linings and brake pad wear residues. Atmospheric Environment 64: 18-24. https://doi.org/10.1016/j.atmosenv.2012.08.067
Wahlin P., Berkowicz R. & Palmgren F., 2006, Characterisation of traffic-generated particulate matter in Copenhagen. Atmospheric Environment 40(12): 2151-2159. https://doi.org/10.1016/j.atmosenv.2005.11.049
Wang Z., Chen P., Wang R., An Z. & Qiu L., 2023, Estimation of PM2.5 concentrations with high spatiotemporal resolution in Beijing using the ERA5 dataset and machine learning models. Advances in Space Research, 71(8): 3150-3165. https://doi.org/10.1016/j.asr.2022.12.016
Zou B., Wilson J.G., Zhan F.B., Zeng Y. & Wu K., 2011, Spatial-temporal variations in regional ambient sulfur dioxide concentration and source-contribution analysis: a dispersion modeling approach. Atmospheric Environment, 45(28): 4977-4985. https://doi.org/10.1016/j.atmosenv.2011.05.073
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