International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 9 - Issue 3, March 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Air Quality Prediction Through Regression Model

[Full Text]



A.Aarthi, P.Gayathri, N.R.Gomathi , S.Kalaiselvi , Dr.V.Gomathi



Air pollution, health, Carbon monoxide, time-series data, Regression analysis



Examining and protecting air quality in this world has become one of the essential activities for every human in many industrial and urban areas today. The meteorological and traffic factors, burning of fossil fuels, and industrial parameters play significant roles in air pollution. With this increasing air pollution, we need to implement models that will record information about concentrations of air pollutants. The deposition of these harmful gases in the air is affecting the quality of people's lives by altering their health, especially in urban areas. In this paper, regression techniques are used to predict the concentration of Carbon monoxide in the environment. Carbon monoxide causes headaches, dizziness, vomiting, nausea, and heart diseases. The dataset is downloaded and imported to the project. It contains data on average hourly responses of major air pollutants for nearly one year. This dataset is used to predict the amount of Carbon monoxide based on other parameters using regression analysis. It creates awareness among people about the air quality degradation, and it's health effects. Support environmentalists and government to frame air quality standards and regulations based on issues of toxic and pathogenic air exposure and health-related hazards for human welfare.



[1] Aditya C R, Chandana R Deshmukh, Nayana D K, Praveen Gandhi Vidyavastu "Detection and Prediction of Air Pollution using Machine Learning Models." (IJETT) – Volume 59 Issue 4 – May 2018
[2] Baldasano J.M, Akita Y "Large scale Air pollution estimation method combining land use regression modeling in geostatistical framework," Environmental Science & Technology, vol. 48, no. 8, 2014
[3] GnanaSoundari.A Mtech, (Ph.D.), Mrs. J.GnanaJeslin M.E, (Ph.D.), Akshaya A.C. "Indian Air Quality Prediction And Analysis Using Machine Learning." ISSN 0973-4562 Volume 14, Number 11, 2017
[4] McCollister G.M. and Wilson K.R. (2008), "Linear regression model for forecasting daily maxima and hourly concentrations of air pollutants," Atmospheric Environment.
[5] Rao, S.T., and Zurbenko, I.G.(2014)."Detecting and Tracking Changes in Air Quality using regression analysis". J. Air Waste Manage. Assoc. 44: 1089–1092.
[6] RuchiRaturi, Dr. J.R. Prasad "Recognition Of Future Air Quality Index Using Regression and Artificial Neural Network" IRJET .e-ISSN: 2395-0056 p-ISSN: 2395-0072 Volume: 05 Issue: 03 Mar-2018
[7] Y. Zheng and et al., "Predicting Fine-Grained Air Quality Based on Linear regression," KDD '15, May 2011 Proceeding of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
[8] https://en.wikipedia.org/wiki/Airpollution
https://www.activesustainability.com/environment/effects-air-pollution-human-health/ https://www.geeksforgeeks.org/working-csv-files-python/