Preprint Article Version 1 This version is not peer-reviewed

Air Pollution Assessment via Statistical Reasoning, and its Implications: A Case Study of Baekryeong Island in Republic of Korea

Version 1 : Received: 22 August 2018 / Approved: 22 August 2018 / Online: 22 August 2018 (10:22:38 CEST)

How to cite: Chang, S.H.; Lee, S. Air Pollution Assessment via Statistical Reasoning, and its Implications: A Case Study of Baekryeong Island in Republic of Korea. Preprints 2018, 2018080394 (doi: 10.20944/preprints201808.0394.v1). Chang, S.H.; Lee, S. Air Pollution Assessment via Statistical Reasoning, and its Implications: A Case Study of Baekryeong Island in Republic of Korea. Preprints 2018, 2018080394 (doi: 10.20944/preprints201808.0394.v1).

Abstract

Abstract: The frequency and intensity of air pollution are two of most critical issues the world faces in dealing with global environmental problems. They are both important areas that need to be improved. Our previous research [20] examines the assessment of fine dust pollution in Baekryeong island by statistical reasoning through one specific example of inland city (Yanggu) in Republic of Korea; however, given that Baekryeong Island is a remote island, there has been little focus on in-depth examination of its effect on the high density of fine dust in Baekryeong Island. The purpose of this article is twofold: (i) to examine the effect of a remote island on the high density of fine dust on Baekryeong Island using statistical reasoning and to provide a more specific statistical basis for the claim that one of the non-negligible factors influencing the high density of fine dust on Baekryeong Island is the geographic proximity to China; and (ii) to present brief discussion of fundamental cause of fine dust and global air pollution issues, which are not discussed in [20].

Subject Areas

fine dust pollution; ozone layer and climate change; global environmental problems, statistical reasoning, air pollution assessment, desertification, particulate matter (PM)

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