Big Data based Analysis of PM 10 and PM 2.5 in Seoul (South Korea)

Title : Big Data based Analysis of PM 10 and PM 2.5 in Seoul (South Korea)
Published in : The 9th International Conference on Internet (ICONI 2017)
Author : Thanongsak Xayasouk , Hee-Woo Park, HwaMin Lee
Corresponding author : HwaMin Lee
Location : Landmark Mekong Riverside Hotel, Vientiane, Laos

Abstract
Fine dust is very harmful to peoples’ health assuming that we know the information about the concentration of fine dust (PM10, PM2.5) which dangerous for people, it was able to prevent harmful of fine dust immediately. In this paper, we present big data-based analysis of PM10 and PM2.5 in Seoul, South Korea. The results are shown concentration of PM10 and PM2.5 on each day of each month, highest and lowest number of PM10 and PM2.5 bad and dangerous days in each month, the highest and lowest number of PM10 and PM2.5 (bad and dangerous days) in each season, and the highest value of PM10 and PM2.5 which harmful to human health.

Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT & Future Planning(NRF-2017R1A2B4010570) and the Ministry of Science and ICT, Korea, under the ITRC(Information Technology Research Center) support program (IITP-2017-2015-0-00403) supervised by the IITP(Institute for Information & communications Technology Promotion).