Analyzing Research on Air Quality Modeling in the Indian Setting: A Thorough Overview

Article Sidebar

PDF HTML
Published: Sep 2, 2024
DOI: https://doi.org/10.29070/0kac3s26
Keywords:
Air quality Modeling, Analysis, Indian Setting, Research

Main Article Content

Authors

Anilumar Shimpi

Research Scholar, Department of Environmental Science, K.R.T. Arts, B.H. Commerce, A.M. Science College, Gangapur Road, Nashik, Maharashtra, India

Dr. Ashok Datir

Associate Professor , Agasti Arts, Commerce & Dadasaheb Rupwate Science College Akole, Maharashtra, India

Dr. P. M. Nawalade

Associate Professor K.R.T Arts, B.H. Commerec and A.M Science College, Shivajinagar GANGAPUR Road, Nashik, Maharashtra, India

Abstract

India, being a developing nation, need efficient strategies to mitigate air pollution in order to prevent premature deaths of numerous individuals. Air quality models not only give data on the concentrations of air pollution, but also offer valuable knowledge about its sources. Prior research on air quality modelling conducted in India at the local and regional levels. This present study aims to evaluate the comprehensive grasp of the existing gaps and to explore potential future possibilities. The meticulously recorded studies conducted in various regions of India during the previous decade, employing systematic searches on various databases like Google Scholar and Google. The majority of air quality research mostly centers on megacities, disregarding the smaller cities that also require substantial attention in the future. There were very few research that were primarily focused on the central area of India, even though the majority of modelling studies were conducted in that region. Upon reviewing both local and regional numerical models, it became evident that there is a requirement for improved emission inputs. Furthermore, the statistical models have shown that it is important to meticulously choose key indicators in order to achieve precise source identification. Regardless of the emission inventory and models employed, Delhi consistently has significant underestimation of particulate matter concentrations, exacerbating its severe air pollution problems. The primary contributors to particulate matter in India are dust and emissions from transportation.

Downloads

Download data is not yet available.

Article Details

Issue

Vol. 21 No. 1 (2024): Journal of Advances in Science and Technology (JAST)

Section

Articles

References

  1. V. M. Niharika and P. S. Rao, “A survey on air quality forecasting techniques,” International Journal of Computer Science and Information Technologies, vol. 5, no. 1, pp.103-107, 2014
  2. A. Noonia, V. Verma, R. Khandelwal, and K. Gautam, “Sentimental Analysis on Twitter using Pig and Hive” International Journal of Innovative Technology and Exploring Engineering, vol. 9, issue 3, Jan 2020
  3. D. J. Nowak, D. E. Crane, and J. C. Stevens, “Air pollution removal by urban trees and shrubs in the United States,” Urban Forestry & Urban Greening, vol. 4, no. 3, pp. 115-123, 2006.
  4. T. Chiwewe and J. Ditsela, “Machine learning based estimation of Ozone using spatio-temporal data from air quality monitoring stations,” presented at 2016 IEEE 14th International Conference on Industrial Informatics (INDIN), IEEE, 2016
  5. R. Akhtar (2007). Climate change and health and heat wave mortality in India. Glob. Environ. Res. 11, 51–57.
  6. WHO. WHO Global Urban Ambient Air Pollution Database (update 2016) 2016 [cited 2017 11th, Feb]. Available from: http:// www.who.int/phe/health_topics/outdoorair/databases/cities/en/.
  7. CPCB. National Ambient Air Quality Status 2008 [cited 2017 12th April]. Available from: http://cpcb.nic.in/upload/NewItems/ NewItem_147_report-2008.pdf
  8. CPCB. Central Pollution Control Board 2015 [cited 2018 24th, Jan]. Available from: http://www.cpcb.gov.in/CAAQM/ frmUserAvgReportCriteria.aspx
  9. CPCB. Central pollution control board. Annual Report. New Delhi: India; 2016
  10. IHME. State of global air, a special report on global exposure to air pollution and its disease burden. Institute for Health Metrics and Evaluation, 2017
  11. S.K. Sahu and S.H. Kota. Significance of PM2.5 air quality at the Indian capital. Aerosol Air Qual Res. 2017; 17(2):588–97.
  12. Y. Wang, Q. Ying, J. Hu and, H. Zhang. Spatial and temporal variations of six criteria air pollutants in 31 provincial capital cities in China during 2013–2014. Environ Int. 2014; 73:413–22.
  13. Han F, Kota SH, Wang Y, Zhang H. Source apportionment of PM2.5 in baton rouge, Louisiana during 2009–2014. Sci Total Environ. 2017; 586:115–26.
  14. Sharma S, Sharma P, Khare M. Photo-chemical transport modelling of tropospheric ozone: a review. Atmos Environ. 2017; 159:34–54.
  15. Zhang Y, Cai J, Wang S, He K, Zheng M. Review of receptor based source apportionment research of fine particulate matter and its challenges in China. Sci Total Environ. 2017;
  16. Belis C, Karagulian F, Larsen B, Hopke P. Critical review and metaanalysis of ambient particulate matter source apportionment using receptor models in Europe. Atmos Environ. 2013; 69:94–108.
  17. Banerjee T, Murari V, Kumar M, Raju M. Source apportionment of airborne particulates through receptor modeling: Indian scenario. Atmos Res. 2015; 164:167–87
  18. Kota SH, Ying Q, Zhang Y. Simulating near-road reactive dispersion of gaseous air pollutants using a three-dimensional Eulerian model. Sci Total Environ. 2013; 454:348–57.
  19. Ying Q, Li J, Kota SH. Significant contributions of isoprene to summertime secondary organic aerosol in eastern United States. Environ Sci Technol. 2015; 49(13):7834–42.
  20. Moorthy KK, Beegum SN, Srivastava N, Satheesh SK, Chin M, Blond N, et al. Performance evaluation of chemistry transport models over India. Atmos Environ. 2013; 71:210–25.
  21. Banerjee T, Murari V, Kumar M, Raju MP. Source apportionment of airborne particulates through receptor modeling: Indian scenario. Atmos Res. 2015;164:167–87
  22. Pant P, Guttikunda SK, Peltier RE. Exposure to particulate matter in India: a synthesis of findings and future directions. Environ Res. 2016;147:480–96
  23. Amorim R.C. de. Feature relevance in ward's hierarchical clustering using the Lp norm. J. Classif. 2015; 32:46–62. doi: 10.1007/s00357
  24. Karagulian F, Belis CA, Dora CFC, Prüss-Ustün AM, Bonjour S, Adair-Rohani H, et al. Contributions to cities' ambient particulate matter (PM): a systematic review of local source contributions at global level. Atmos Environ. 2015;120:475–83
  25. Ali, H., Mishra, V., and Pai, D. S. (2014). Observed and projected urban extreme rainfall events in India. J. Geophysical Res. 119, 12–621. doi: 10.1002/2014JD022264
  26. Ambinakudige, S. (2011). Remote sensing of land cover’s effect on surface temperatures: a case study of the urban heat island in Bangalore, India. Appl. GIS 7, 1–12.
  27. Awais, M., Shahzad, M. I., Nazeer, M., Mahmood, I., Mehmood, S. and, Iqbal, M. F. (2018). Assessment of aerosol optical properties using remote sensing over highly urbanised twin cities of Pakistan. J. Atmos. Solar-Terrestrial Phys. 173, 37–49. doi: 10.1016/j.jastp.2018.04.008
  28. Balakrishnan, K., Dey, S., Gupta, T., Dhaliwal, R. S., Brauer, M., Cohen, A. J., et al. (2019). The impact of air pollution on deaths, disease burden, and life expectancy across the states of India: the Global Burden of Disease Study 2017. Lancet Planetary Health 3, e26–e39. doi: 10.1016/S2542-5196(18)30261-4
  29. Balica, S. F., Wright, N. G., and Van der Meulen, F. (2012). A flood vulnerability index for coastal cities and its use in assessing climate change impacts. Nat. Hazards 64, 73–105. doi: 10.1007/s11069-012-0234-1
  30. Choudhary, V., Rajput, P., and Gupta, T. (2021). Absorption properties and forcing efficiency of light-absorbing water-soluble organic aerosols: Seasonal and spatial variability. Environ. Pollut. 272:115932. doi: 10.1016/j.envpol.2020.115932
  31. Conibear, L., Butt, E. W., Knote, C., Arnold, S. R., and Spracklen, D. V. (2018). Residential energy use emissions dominate health impacts from exposure to ambient particulate matter in India. Nat. Commun. 9:617. doi: 10.1038/s41467-018-02986-7
  32. Dutta, P., and Chorsiya, V. (2013). Scenario of climate change and human health in India. Int. J. Innovat. Res. Dev. 2, 157–160.
  33. Ebi, K. L., and Paulson, J. A. (2010). Climate change and child health in the United States. Curr. Prob. Pediatric Adoles. Health Care 40, 2–18. doi: 10.1016/j.cppeds.2009.12.001
  34. Faheem, M., Danish, M., and Ansari, N. (2021). Impact of Air Pollution on Human Health in Agra District.
  35. Chakraborty A, Gupta T. Chemical characterization of submicron aerosol in Kanpur region: a source apportionment study. Int J Env Ac Eng. 2009;1:19–27
  36. WBPCB. A Report on Trend of Important Air Quality Parameters in Kolkata during Night Time as Compared to Daytime Situation during Year 2011 and 2012. 2012:61.
  37. Kar S, Maity JP, Samal AC, Santra SC. Metallic components of traffic-induced urban aerosol, their spatial variation, and source apportionment. Environ Monit Assess. 2010; 168(1):561–74.
  38. Chatterjee A, Dutta C, Jana TK, Sen S. Fine mode aerosol chemistry over a tropical urban atmosphere: characterization of ionic and carbonaceous species. J Atmos Chem. 2012; 69(2):83–100.
  39. Das R, Khezri B, Srivastava B, Datta S, Sikdar PK, Webster RD, et al. Trace element composition of PM 2.5 and PM 10 from Kolkata–a heavily polluted Indian metropolis. Atmos Pollut Res. 2015; 6(5):742–50.
  40. Jena C, Ghude SD, Pfister GG, Chate DM, Kumar R, Beig G, et al. Influence of springtime biomass burning in South Asia on regional ozone (O3): a model based case study. Atmos Environ. 2015; 100:37–47.
  41. Deshmukh DK, Deb MK, Tsai YI, Mkoma SL. Water soluble ions in PM2. 5 and PM1 aerosols in Durg city, Chhattisgarh, India. Aerosol Air Qual Res. 2011; 11:696–708
  42. Saha M, Maharana D, Kurumisawa R, Takada H, Yeo BG, Rodrigues AC, et al. Seasonal trends of atmospheric PAHs in five Asian megacities and source detection using suitable biomarkers. Aerosol Air Qual Res. 2017;17(9):2247–62
  43. Singh DK, Gupta T. Effect through inhalation on human health of PM1 bound polycyclic aromatic hydrocarbons collected from foggy days in northern part of India. J Hazard Mater. 2016;306:257–68
  44. Goyal P, Jaiswal N, Kumar A, Dadoo JK, Dwarakanath M. Air quality impact assessment of NOx and PM due to diesel vehicles in Delhi. Transp Res Part D: Transp Environ. 2010; 15(5):298–303.
  45. Banerjee T, Barman S, Srivastava R. Application of air pollution dispersion modeling for source-contribution assessment and model performance evaluation at integrated industrial estate-Pantnagar. Environ Pollut. 2011; 159(4):865–75.
  46. Bhanarkar A, Goyal S, Sivacoumar R, Rao CC. Assessment of contribution of SO 2 and NO 2 from different sources in Jamshedpur region, India. Atmos Environ. 2005; 39(40):7745–60.
  47. Guttikunda SK, Goel R, Mohan D, Tiwari G, Gadepalli R. Particulate and gaseous emissions in two coastal cities— Chennai and Vishakhapatnam, India. Air Qual Atmos Health. 2015; 8(6):559–72.
  48. Krishna TR, Reddy M, Reddy R, Singh R. Impact of an industrial complex on the ambient air quality: case study using a dispersion model. Atmos Environ. 2005; 39(29):5395–407.
  49. Mohan M, Bhati S, Sreenivas A, Marrapu P. Performance evaluation of AERMOD and ADMS-urban for total suspended particulate matter concentrations in megacity Delhi. Aerosol Air Qual Res. 2011; 11(7):883–94.
  50. Gulia S, Shrivastava A, Nema A, Khare M. Assessment of urban air quality around a heritage site using AERMOD: a case study of Amritsar City, India. Environ Model Assess. 2015;20(6):599–608
  51. Mohan M, Bhati S, Rao A. Application of air dispersion modelling for exposure assessment from particulate matter pollution in mega city Delhi. Asia Pac J Chem Eng. 2011; 6(1):85–94.
  52. Behera SN, Sharma M, Dikshit O, Shukla SP. GIS-based emission inventory, dispersion modeling, and assessment for source contributions of particulate matter in an urban environment. Water Air Soil Pollut. 2011; 218(1):423–36.
  53. Mohanraj R, Solaraj G, Dhanakumar S. Fine particulate phase PAHs in ambient atmosphere of Chennai metropolitan city, India. Environ Sci Pollut Res. 2011; 18(5):764–71.
  54. Lakhani A. Source apportionment of particle bound polycyclic aromatic hydrocarbons at an industrial location in Agra, India. Sci World J. 2012; 2012:10.
  55. Rafaj, P., Kiesewetter, G., Gül, T., Schöpp, W., Cofala, J., Klimont, Z., & Cozzi, L. (2018). Outlook for clean air in the context of sustainable development goals. Global Environmental Change, 53, 1-11.
  56. https://www.breeze-technologies.de/blog/connection-between-air-quality-and-un-sustainable-development-goals/