A State of the Art Review on Air Quality at Visakhapatnam During Lockdown

IJEP 42(4): 476-482 : Vol. 42 Issue. 4 (April 2022)

N.V.Krishna Prasad1*, S. Ramesh1, P. Sasikala2, M.S.S.R.K.N. Sarma1, Thomaskutty Mathew1, T. Anil Babu1 and N. Madhavi3

1. GITAM University, Department of Physics, G.S.S., Bengaluru- 561 203, Karnataka, India
2. GITAM University, Department of Mathematics, G.S.S., Bengaluru- 561 203, Karnataka, India
3. Govt. College (Autonomous), Department of Statistics, Rajahmundry- 533 103, Andhra Pradesh, India

Abstract

Post reporting of deadly virus infecting mankind in city of Wuhan (China) major changes in socio-economic conditions have been encountered. Being reported on 31st December 2019, later named Covid-19 disease has been declared global pandemic on March 11th, 2020 by WHO. Assuming 40-60% people of entire world might get affected due to this virus, lockdown was imposed as an immediate action. This was to curtail transmission of virus through physical contact. This lockdown has shown significant impact on air pollution on a global scale which needs to be analysed for further requirements. It is a known fact that air pollution impacts human respiratory system. Hence analysis of particulate matter and air pollutants post-lockdown and pre-lockdown during Covid pandemic may yield significant results. Even though treatment and prevention of Covid-19 is a big challenge right now, role of nanotechnology should not be ignored. Since nanotechnology is a multidisciplinary and focused field, it is capable of pivoting solutions for problems posed due to this virus and could relieve the excess strained hospitals. Since Covid-19 work on a nanoscale idea of using nanotechnology may offer significant results in the biomedical field that include both diagnostic and therapeutic approaches. In this context an attempt was made to review some of the published results related to the nature of virus and role of nano and microparticles on Covid-19 as well as to analyse particulate matter and air pollutants for a coastal, urban, industrial station in Visakhapatnam India.

References

  1. Madabhavi, I., M. Sarkar and N. Kadakol. 2020. Covid-19: A review. Monaldi Arch. Chest Disease. 90(2). DOI: 10.4081/monaldi.2020.1298.
  2. Chatterjee, P., et al. 2020. The 2019 novel Coro-navirus disease (Covid-19) pandemic: A review of the current evidence. Indian J. Medical Res., 151(2): 147-159.
  3. Jiang, F., et al. 2020. Review of the clinical characteristics of Coronavirus disease (Covid-19). J. Gen. Intern. Med., 35(5): 1545-1549.
  4. WHO. 2018. Ambient (outdoor) air pollution. World Health Organization, Geneva.
  5. Padhi, A., et al. 2020. Laboratory diagnosis of novel Coronavirus disease (Covid-19) infection. Medical Virol. Pathogenesis Disease Control. pp 95-107.
  6. WHO. Coronavirus (Covid-19) cases. World Health Organization, Geneva. Available at: https://covid 19.who.int/.
  7. Wang, L., et al. 2020. Review of the 2019 novel Coronavirus (SARS-CoV-2) based on current evidence. Int. J. Antimicrobial Agents. 55(6). DOI: 10.1016/ijantimicag.2020.105948.
  8. Kannan, S., et al. 2020. Covid-19 (novel Corona-virus 2019)-recent trends, SARS. European Review Medical Pharmacol. Sci., 24: 2006-2011.
  9. Ahmad, I. and F.A. Rathore. 2020. Neurological manifestations and complications of Covid-19: A literature review. J. Clinical Neurosci., 77: 8-12.
  10. Adhikari, S.P., et al. 2020. Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of Coronavirus disease (Covid-19) during the early outbreak period: A scoping review. Infectious Diseases Poverty. 9: 29. DOI: 10.1186/s40249-020-00646-x.
  11. Yuki, K., M. Fujiogi and S. Koutsogiannaki. 2020. Covid-19 pathophysiology: A review. Clinical Immunol., 215. DOI: 10.1016/j.clim.2020.108427.
  12. Abdi, A., et al. 2020. Diabetes and Covid-19: A systematic review on the current evidences. Diabetes Res. Clinical Practice. 166. DOI: 10.1016/j.diabres.2020.108347.
  13. Alzamora, M.C., et al. 2020. Severe Covid-19 during pregnancy and possible vertical transmission. Am. J. Perinatol., 37: 861-865.
  14. NNI. 2020. What it is and how it works. National Nanotechnology Initiative. Available at https://www. nano. gov/nanotech-101/what.
  15. Gartner, T.E. and A. Jayaraman. 2019. Modeling and simulations of polymers: A road map. Macromolecules. 52: 755-786. DOI: 10.1021/acs.macro-mol.8b01836.
  16. Bhavana, V., et al. 2020. Covid-19: Pathophysiology, treatment options, nanotechnology approaches and research agenda to combating the SARS-CoV2 pandemic. Life Sci., 261: 118336. DOI: 10.1016/j.lfs. 2020.118336.
  17. Sivasankarapillai, V.S., et al. 2020. On facing the SARS-CoV-2 (Covid-19) with combination of nanomaterials and medicine: Possible strategies and first challenges. Nanomater., 10: 1-23. DOI: 10.3390/ nano10050852.
  18. Clarke, D. and N. McMillan. 2015. Targeted drug delivery to the virus-infected airway, complications and remedies. Curr. Drug Deliv., 12: 86-97. DOI: 10.2174/1567201811666140918114528.
  19. Duncan, J.E., J.A. Whitsett and A.D. Horowitz. 1997. Pulmonary surfactant inhibits cationic liposome-mediated gene delivery to respiratory epithelial cells in-vitro. Hum. Gene Ther., 8: 431-438. DOI: 10.1089/hum.1997.8.4-431.
  20. McNeil, S.E. 2011. Unique benefits of nanotech-nology to drug delivery and diagnostics. Methods Mol. Biol., 697: 3-8. DOI: 10.1007/978-1-60327-198-1_1.
  21. Petros, R.A. and J.M. DeSimone. 2010. Strategies in the design of nanoparticles for therapeutic applications. Nat. Publ. Gr., 9. DOI: 10.1038/nrd25-91.
  22. Galdiero, S., et al. 2011. Silver nanoparticles as potential antiviral agents. Molecules. 16: 8894-8918. DOI: 10.3390/molecules16108894.
  23. El-Sherbiny, I.M., N.M. El-Baz and M.H. Yacoub. 2015. Inhaled nano- and microparticles for drug delivery. Glob. Cardiol. Sci. Pract., 2. DOI: 10.5339 /gcsp.2015.2.
  24. Velkov, T., et al. 2015. Inhaled anti-infective chemotherapy for respiratory tract infections: Successes, challenges and the road ahead. Adv. Drug Deliv. Rev., 85: 65-82. DOI: 10.1016/j.addr.2014. 11.004.
  25. Sharma, S., et al. 2020. Effect of restricted emissions during Covid-19 on air quality in India. Sci. Total Env., 728: 138878.
  26. Kumar, P., et al. 2020. Temporary reduction in fine particulate matter due to ‘anthropogenic emissions switch-off’ during Covid-19 lockdown in Indian cities. Sustain. Cities Soc., 62: 102382.
  27. Chowdhuri, I., et al. 2020. Significant decrease of lightning activities during Covid-19 lockdown period over Kolkata megacity in India. Sci. Total Env., 747: 141321.
  28. Mahato, S., S. Pal and K.G. Ghosh. 2020. Effect of lockdown amid Covid-19 pandemic on air quality of the megacity Delhi, India. Sci. Total Env., 730: 139086.
  29. World Most Polluted Cities. 2019. Meteosim. Available at www.meteosim.com/en/world-most-polluted-citie/.
  30. Urrego, D.R. and L.R. Urrego. 2020. Air quality during the Covid-19: PM2.5analysis in the 50 most polluted capital cities in the world. Env. Poll., 266: 115042.
  31. Hanaoka, T. and T. Masui. 2020. Exploring effective short-lived climate pollutant mitigation scenarios by considering synergies and trade-offs of combinations of air pollutant measures and low carbon measures towards the level of the 2. C. target in Asia. Env. Poll., 261: 113650.
  32. Ogen, Y. 2020. Assessing nitrogen dioxide (NO2) levels as a contributing factor to Coronavirus (Covid-19) fatality. Sci. Total Env., 726: 138605.
  33. Siciliano, B., et al. 2020. Increased ozone levels during the Covid-19 lockdown: Analysis for the city of Rio de Janeiro, Brazil. Sci. Total Env., 737: 139765.
  34. Adams, M.D. 2020. Air pollution in Ontario, Canada during the Covid-19 state of emergency. Sci. Total Env., 742: 140516.
  35. Wang, Y., et al. 2020. Changes in air quality related to the control of Coronavirus in China: Implications for traffic and industrial emissions. Sci Total Env., 731: 139133.
  36. Zoran, M.A., et al. 2020. Assessing the relationship between surface levels of PM2.5and PM10particulate matter impact on Covid-19 in Milan, Italy. Sci. Total Env., 738: 139825.
  37. Wang, P., et al. 2020. Severe air pollution events not avoided by reduced anthropogenic activities during Covid-19 outbreak. Res. Conser. Recycling. 158: 104814.
  38. Chauhan, A. and R.P. Singh. 2020. Decline in PM2.5concentrations over major cities around the world associated with Covid-19. Env. Res., 187: 109634.
  39. Zheng, H., et al. 2020. Significant changes in the chemical compositions and sources of PM2.5in Wuhan since the city lockdown as Covid-19. Sci. Total Env., 739: 140000.
  40. Central Pollution Control Board. Available at www.cpcb.nic.in.
  41. Kumar, D.S.S. 2013. Air pollution in Visakhapatnam – An overview. Int. J. Civil Eng., 2: 11-14.
  42. Police, S., S.K. Sahu and G.G. Pandit. Chemical characterization of atmospheric particulate matter and their source apportionment at an emerging industrial coastal city, Visakhapatnam, India. Atmos. Poll. Res., 7: 725-733. DOI: 10.1016/j.apr.2016.03.007.
  43. Available at www.app.cpcbccr.com/ccr/#/caaqm-dashboard-all/caaqm-landing/data
  44. Goswami, K., S. Bharali and J. Hazarika. 2020. Projections for Covid-19 pandemic in India and effect of temperature and humidity. Diabetes Metabolic Syndrome: Clinical Res. Reviews. 14: 801-805. DOI: 10.1016/j.dsx.2020.05.045.
  45. Prasad, K.V.S, et al. 2020. Regression model to analyse air pollutants over a coastal, industrial station Visakhapatnam, India. Int. J. Data Sci., 1(2): 107-113. DOI: 10.18517/ijods.1.2.107-113.2020.