Spatial Analysis of Air Pollution Data Based on Linked Micromap Plots in Korea

DOI

10.2991/cas-15.2015.42How to use a DOI?

Keywords

air pollution; data visualization; linked micromap plots; pollutants; spatial patterns.

Abstract

Air pollution is becoming an increasingly important problem due to the high levels of air pollutants emitted as a result of industrial and other anthropogenic activities. Exposure to air pollution has been linked to various health outcomes, from modest transient changes in the respiratory tract and impaired pulmonary function to increased mortality. Consequently, analyzing air pollution data and reporting associated statistics have become important tasks for governments and non-governmental organizations. In this study, we analyzed air pollution data and demonstrated how spatial patterns of air pollutants and other variables can be examined visually and simultaneously using linked micromap plots. To explore the potential utility of linked micromap plots, we analyzed and visualized Korean air pollution data for the period 2010-2012. Our analyses revealed more than twice the amount of fine particles in March compared with August, and that ozone levels were highest in May. Regions with high levels of fine particles were located mainly in the northwest, likely influenced by Asian dust, and in the southeast industrialized areas.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yong Ahn Jeong
PY  - 2015/08
DA  - 2015/08
TI  - Spatial Analysis of Air Pollution Data Based on Linked Micromap Plots in Korea
BT  - Proceedings of the 2015 AASRI International Conference on Circuits and Systems
PB  - Atlantis Press
SP  - 173
EP  - 177
SN  - 2352-538X
UR  - https://doi.org/10.2991/cas-15.2015.42
DO  - 10.2991/cas-15.2015.42
ID  - Jeong2015/08
ER  -