Air Pollution in Karnataka: A Causal Analysis
DOI:
https://doi.org/10.61841/9570ty85Keywords:
Karnataka;Air pollution; PM10; Nitrogen dioxide; Sulphur dioxide; Stepwise linear regression; Decision Tree (CHAID).Abstract
Purpose: This research aims to highlight Major contributing factors towards air pollution in Karnataka and provide necessary recommendation to government and other stakeholders.
Design/Methodology/ Approach: The data was collected from data.gov.in of sample size 2400 observation and 12 variables. The framework that was used to do the analysis were problem identification, Data exploration, Model building, Solution implementation and monitoring. Training the sample data and validating the results on the test data were the approach taken furthermore programming tool R, Excel and SPSS was used to explore, recode data and build model.
Findings:From the analysis,it is observed that chemical components likeNO2and So2, cities like Devengree, Bangalore,Tumkur winter months like from October to February were the top contributors to air pollution in Karnataka.
Practical Implications:Using the analysis derived, Government stakeholders can identify the cities that are impacting air pollution, understand the reason for the cause and apply stringent norms to reduce the pollutants in the air. Also educating the younger generation by providing awareness regarding the ill effects of air pollutants on heath was also recommended.
Originality/ Values:Stepwise linear regression was used to estimate causal effect between PM10 and other variables, Decision Tree (CHAID) regressionused for machine learning to reduce the overall MAPE furthermore random forest regression tree was used to identify the top 10 contributing factors cause air pollution in Karnataka adding worthiness and novelty to this study.
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References
[1] Badami,M.GTransport and urban air pollution in India. Environmental Management (2005).
[2] Begum, A., HariKrishna, S., & Khan, I. Chemical composition of rainwater in South Bangalore,
Karnataka. Rasayan J. Chem (2008).
[3] Kumar, A., & Goyal, P, Forecasting of air quality in Delhi using principal component regression
technique. Atmospheric Pollution Research (2011)
[4] Kumar, A., & Goyal, PForecasting of air quality index in Delhi using neural network based on principal
component analysis. Pure and Applied Geophysics (2013).
[5] Li, S. T., & Shue, L. Y. Data mining to aid policy making in air pollution management. Expert Systems
with Applications (2004).
[6] Pope, C. A., Thun, M. J., Namboodiri, M. M., Dockery, D. W., Evans, J. S., Speizer, F. E., & Heath, C. W.
Particulate air pollution as a predictor of mortality in a prospective study of US adults. American journal of
respiratory and critical care medicine(1995).
[7] Schwartz, JParticulate air pollution and daily mortality in Detroit. Environmental Research, (1991).
[8] Schwartz, J., & Marcus, A.Mortality and air pollution j london: a time series analysis. American journal of
epidemiology, (1990).
[9] Simkhada, K., Murthy, K. V., & Khanal, S. NAssessment of ambient air quality in Bishnumati corridor,
Kathmandu metropolis. International Journal of Environmental Science &Technology, (2005).
[10] Singh, K. P., Gupta, S., & Rai, P. Identifying pollution sources and predicting urban air quality using
ensemble learning methods. Atmospheric Environment, (2013).
[11] Balakrishnan, K., Cohen, A., & Smith, K. R. Addressing the burden of disease attributable to air pollution
in India: the need to integrate across household and ambient air pollution exposures. Environmental health
perspectives, (2014).
[12] Smith, K. R., & Mehta, S. The burden of disease from indoor air pollution in developing countries:
comparison of estimates. International journal of hygiene and environmental health, (2003).
[13] Dockery, D. W., Pope, C. A., Xu, X., Spengler, J. D., Ware, J. H., Fay, M. E., ... & Speizer, F. E. An
association between air pollution and mortality in six US cities. New England journal of medicine, . (1993).
[14] Samet, J. M., Dominici, F., Curriero, F. C., Coursac, I., & Zeger, S. L. Fine particulate air pollution and
mortality in 20 US cities, 1987–1994. New England journal of medicine, (2000).
[15] Guttikunda, S. K., & Jawahar, P. Application of SIM-air modelling tools to assess air quality in Indian
cities. Atmospheric Environment, (2012).
[16] Gupta, P., Christopher, S. A., Wang, J., Gehrig, R., Lee, Y. C., & Kumar, NSatellite remote sensing of
particulate matter and air quality assessment over global cities. Atmospheric Environment. (2006).
[17] Mohan, D. Traffic safety and health in Indian cities. Journal of Transport and Infrastructure, (2002).
[18] Nagendra, S. S., Venugopal, K., & Jones, S. L. Assessment of air quality near traffic intersections in
Bangalore city using air quality indices. Transportation Research Part D: Transport and
Environment, (2007).
[19] Chow, J. C., Watson, J. G., Lu, Z., Lowenthal, D. H., Frazier, C. A., Solomon, P. A., ... & Magliano,
K.Descriptive analysis of PM2. 5 and PM10 at regionally representative locations during
SJVAQS/AUSPEX. Atmospheric Environment, (1996).
[20] Smith, V. K., & Huang, J. C. Can markets value air quality? A meta-analysis of hedonic property value
models. Journal of political economy, (1995).
[21] Ture, M., Tokatli, F., & Kurt, I. Using Kaplan–Meier analysis together with decision tree methods (C&RT,
CHAID, QUEST, C4. 5 and ID3) in determining recurrence-free survival of breast cancer patients. Expert
Systems with Applications, 36(2), 2017-2026 (2009).
[22] Complete study of factors contributing to Air pollution
Oct 29, 2016, accessed Nov 9, 2018.
[24] Air pollution levels in Karnataka's 11 cities and towns cross limits
[25] https://timesofindia.indiatimes.com/city/bengaluru/air-pollution-levels-in-karnatakas-11-cities-and-townscross-limits/articleshow/63036922.cms Feb 23 2018, accessed Oct 28 2018.
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