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Quantifying influence of weather indices on PM_{2.5} based on relation map |
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| Authors: | Jie Liu Yunpeng Li Rehan Sadiq Yong Deng |
| Institution: | 1. School of Computer and Information Science, Southwest University, Chongqing, 400715, China 2. School of Engineering, University of British Columbia Okanagan, 3333 University Way, Kelowna, BC, Canada 3. School of Automation, Northwestern Polytechnical University, Xian, Shaanxi, 710072, China 4. School of Engineering, Vanderbilt University, Nashville, TN, 37235, USA |
| Abstract: | Many researches have been conducted on the health influence of Particle Matter with diameters less than 2.5 microns (PM \(_{2.5}\) ). There are also some researches on the cause of PM \(_{2.5}\) . However, such research generally focuses on the economic and political aspect of the environment issue. In this paper, a data-analysis approach of the PM \(_{2.5}\) issue is raised to offer a new viewpoint of this problem. The applied method extracts the relations of air quality system record as a relation map, which illustrates the influence among the parameters in a graph. The method successfully fitted the weather record, and derived from it the influencers of PM \(_{2.5}\) . The result shows that the average temperature, average barometric pressure and concentration of Ozone are all factors that have an influence on the concentration of PM \(_{2.5}.\) A short justification of it is also provided. |
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