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http://dx.doi.org/10.22640/lxsiri.2019.49.2.83

Selection of New Particulate Matter Monitoring Stations using Kernel Analysis - Elementary Schools, Seoul, Korea  

Jeong, Jong-Chul (Department of GIS, Namseoul University)
Publication Information
Journal of Cadastre & Land InformatiX / v.49, no.2, 2019 , pp. 83-92 More about this Journal
Abstract
The particulate matters show high values in winter and spring season, it has a bad influence on the outdoor people. That's why government needs to come up with countermeasures for social weak people like elementary school students. In this paper, new particulate matter stations select ed about elementary schools using spatial analysis. Seoul city areas were divided with 608 hexagon grids(500m), and then implement spatial analysis such as kernel analysis. Finally, new particulate matter stations select through the results of kernel density analysis and point displacement. The results show that, 10 hexagon grids about new particulate matter stations were selected and listed 15 elementary schools including 10 hexagon grids. The 15 elementary schools were including Gangbuk gu, Eunpyeong gu, Guro gu, Dong gu, Geumcheon gu, Dongdaemun gu, Gangdong gu, Songpa gu, Gwangjin gu and Gangnam gu. The results suggests a new management plan direction according to the spatial analysis, result in the process of selecting the measures for the '2018 School Fine Dust Comprehensive Management Measures' announced by the Ministry of Education. Also, this study can be expanded by adding specific buildings as well as the school.
Keywords
GIS; Particulate Matter; elementary School; Kernel Analysis; Optimize Location;
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