Recommendation and Prediction System to Control Air Pollution in Selected Regions of Chennai
V. Maria Anu1, L. Mary Gladence2, R. Dhanalakshmi3, R. Rathna4, D. Usha Nandini5
1V. Maria Anu, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
2L. Mary Gladence, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
3R. Dhanalakshmi, Jeppiaar Egineering College, Chennai (Tamil Nadu), India.
4R. Rathna, Vels Institute of Science and Technology, Chennai (Tamil Nadu), India.
5D. Usha Nandini, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 15 October 2019 | Revised Manuscript received on 24 October 2019 | Manuscript Published on 02 November 2019 | PP: 2336-2341 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B12640982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1264.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Air pollution level is increased due to industrial and commercial activities of major cities; the quality of air is being affected by emissions from industries and ever-increasing vehicular population. The study contains air pollutants such as Sulphur dioxide (SO2), Nitrogen (NO2), Respirable Suspended Particulate Matter (RSPM) from 2009-2018 per annum for locations in Chennai such as Anna Nagar, Adyar, Kilpauk, and T.Nagar. In this paper, using Support Vector Machine (SVM) algorithm the air pollution level can be predicted in the nearby future using R tool for statistics. This will be useful to take necessary preventive measure to reduce the air pollution level.
Keywords: Data Analytics, Prediction, Support Vector Machine, Air Pollution.
Scope of the Article: Regression and Prediction