Indian Journal of Economics and Development

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A Note on Air Pollutant Levels in Select Indian Cities


Affiliations
1 Department of studies and research in Economics, V.S.K University, Ballari-583105, India
2 Department of Economics, Vijayanagara Srikrishnadevaraya University, Jnana Sagara Campus, Bellary, Karnataka, 583105, India
 

Objectives: Air pollution has become a serious problem in India. Seven out of top ten most polluted cities in the World in 2018 are Indian Cities (World Air Quality Ranking report). PM2.5 stands for Particulate Matter measuring 2.5 microns or less in diameter suspended in air. PM2.5 can cause significant negative health impacts such as Ischemic Heart Disease (IHD), and Lung cancer. The objective of this study is to estimate trends and patterns of Particulate Matter 2.5 Concentration levels in Indian cities.

Methods: We consider an Auto Regressive Integrated Moving Average (ARIMA) model to explain the variability of particulate matter (PM2.5) levels across six different cities in India, using the daily observation data provided by the Central Pollution Control Board of India.

Findings: Results from our model indicate that statistically significant differences exist in pollutant levels between Bangalore, Delhi, Chennai, Hyderabad, Vijayawada, and Vishakhapatnam. Seasonality in pollutant levels is also significant. Mean levels of pollutants are generally higher during winter months and lower around the monsoon season for all the south Indian cities.

Applications: Results from our model could be useful for understanding and predicting the air pollutant trends and patterns of south Indian cities.


Keywords

Air Pollution in India, ARIMA Model, Trends and Patterns of PM2.5 Levels.
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  • G.D. Thurston. Ischemic heart disease mortality and long-term exposure to source-related components of U.S fine particle air pollution. Environmental Health Perspectives. 2016; 124(6), 785-94.

  • Hackmann. Ambient air pollution and pregnancy outcomes—a study of functional form and policy implications. Air Quality, Atmosphere & Health. 2017; 10, 129-137.

  • R.D. Peng, H.H. Chang, M.L. Bell. Coarse particulate matter air pollution and hospital admissions for cardiovascular and respiratory diseases among Medicare patients. JAMA. 2008; 299(18), 2172–2179.

  • A.T. DeGaetano, O.M. Doherty. Temporal, spatial and meteorological variations in hourly PM2.5 concentration extremes in New York City. Atmospheric Environment. 2004; 38, 1547–1558.

  • M. Mohan, A. Kandya. An analysis of the annual and seasonal trends of air quality index of Delhi. Environmental monitoring and assessment. 2007; 131, 267-277.

  • A. Kulshrestha, G. Satsangi, J. Masih, A. Taneja. Metal concentration of PM2.5 and PM10 particles and seasonal variations in urban and rural environment of Agra, India. The Science of the total environment. 2009; 407, 6196–6204.

  • S. Bathmanabhan,S.N. Saragur Madanayak. Analysis and interpretation of particulate matter – PM10, PM2.5 and PM1 emissions from the heterogeneous traffic near an urban roadway. Atmospheric Pollution Research. 2010; 1, 184-194.

  • S. Tiwari, D.M. Chate, A.K. Srivastaua, D.S. Bisht, B. Padmanabhamurty. Assessments of PM1, PM2.5 and PM10 concentrations in Delhi at different mean cycles. Geofizika. 2012; 29(2), 125-141.

  • R. Pal, S. Chowdhury, S. Dey, A. Sharma. 18-Year Ambient PM2.5 exposure and night light trends in Indian Cities. Aerosol and Air Quality Research. 2018; 18, 2332–2342.

  • S. K. Sahu, S. Harsha Kota. Significance of PM2.5 Air quality at the indian capital. Aerosol and Air Quality Research. 2017; 17, 588–597.

  • DH Cusworth, L. Mickley, M. Sulprizio, T. Liu, M. Marlier, R. Defries, S. Guttikunda, P. Gupta. Quantifying the influence of agricultural fires in northwest India on urban air pollution in Delhi, India. Environmental Research Letters. 2018; 13.

  • C. Venkataraman, M. Brauer. Source influence on emission pathways and ambient PM2.5 pollution over India (2015-2050). Atmospheric Chemistry and Physics. 2018; 18, 8017-8039.


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  • A Note on Air Pollutant Levels in Select Indian Cities

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Authors

Sruthi Bhimanagoudru Shivalinganagouda
Department of studies and research in Economics, V.S.K University, Ballari-583105, India
Ponnaluru Srinivasa Sasdhar
Department of Economics, Vijayanagara Srikrishnadevaraya University, Jnana Sagara Campus, Bellary, Karnataka, 583105, India

Abstract


Objectives: Air pollution has become a serious problem in India. Seven out of top ten most polluted cities in the World in 2018 are Indian Cities (World Air Quality Ranking report). PM2.5 stands for Particulate Matter measuring 2.5 microns or less in diameter suspended in air. PM2.5 can cause significant negative health impacts such as Ischemic Heart Disease (IHD), and Lung cancer. The objective of this study is to estimate trends and patterns of Particulate Matter 2.5 Concentration levels in Indian cities.

Methods: We consider an Auto Regressive Integrated Moving Average (ARIMA) model to explain the variability of particulate matter (PM2.5) levels across six different cities in India, using the daily observation data provided by the Central Pollution Control Board of India.

Findings: Results from our model indicate that statistically significant differences exist in pollutant levels between Bangalore, Delhi, Chennai, Hyderabad, Vijayawada, and Vishakhapatnam. Seasonality in pollutant levels is also significant. Mean levels of pollutants are generally higher during winter months and lower around the monsoon season for all the south Indian cities.

Applications: Results from our model could be useful for understanding and predicting the air pollutant trends and patterns of south Indian cities.


Keywords


Air Pollution in India, ARIMA Model, Trends and Patterns of PM2.5 Levels.

References