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http://dx.doi.org/10.7780/kjrs.2022.38.5.3.6

A Study on the Research Topics and Trends in South Korea: Focusing on Particulate Matter  

Park, Hyemin (Major of Earth and Environmental Sciences, Division of Earth Environmental System Science, Pukyong National University)
Kim, Taeyong (Major of Earth and Environmental Sciences, Division of Earth Environmental System Science, Pukyong National University)
Kwon, Daewoong (Major of Environmental Geosciences, Division of Earth and Environmental System Sciences, Pukyong National University)
Heo, Junyong (Major of Earth and Environmental Sciences, Division of Earth Environmental System Science, Pukyong National University)
Lee, Juyeon (Major of Earth and Environmental Sciences, Division of Earth Environmental System Science, Pukyong National University)
Yang, Minjune (Major of Environmental Geosciences, Division of Earth and Environmental System Sciences, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.38, no.5_3, 2022 , pp. 873-885 More about this Journal
Abstract
The particulate matter (PM) has emerged as a hot topic around the world as it has been reported that PM is related to an increase in mortality and prevalence rates. In South Korea, the importance of PM has been recognized since the late 1990s, and various studies on PM have been conducted. This study investigated the PM research topics and trends for papers (D=2,764) published in Research Information Sharing Service (RISS) using topic modeling based on Latent Dirichlet Allocation (LDA). As a result, a total of 10 topics were identified in the whole papers, and the PM research topics were classified as 'PM reduction (Topic 1)', 'Government policy and management (Topic 2)', 'Characteristics of PM (Topic 3)', 'PM model (Topic 4)', 'Environmental education (Topic 5)', 'Bio (Topic 6)', 'Traffic (Topic 7)', 'Asian dust (Topic 8)', 'Indoor PM (Topic 9)', 'Human risk (Topic 10)'. In particular, the proportion of papers on topics 'Government policy and management (Topic 2)', 'PM model (Topic 4)', 'Environmental education (Topic 5)', and 'Bio (Topic 6)' to the toal number of papers increased over time (linear slope > 0). The results of this study provide the new literature review methodology related to particulate matter and the history and insight.
Keywords
Particulate matter; Latent dirichlet allocation; Topic modeling; Trend analysis;
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Times Cited By KSCI : 19  (Citation Analysis)
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