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A study on the monitoring of high-density fine particulate matters using W-station: Case of Jeju island

W-Station을 활용한 고밀도 초미세먼지 모니터링 연구: 제주도 사례

  • Lee, Jong-Won (Observer) ;
  • Park, Moon-Soo (Research Center for Atmospheric Environment, Hankuk University of Foreign Studies) ;
  • Won, Wan-Sik (School of Mechanical and Aerospace Engineering, Nanyang Technological University) ;
  • Son, Seok-Woo (School of Earth and Environmental Sciences, Seoul National University)
  • 이종원 (옵저버 주식회사) ;
  • 박문수 (한국외국어대학교 대기환경연구센터) ;
  • 원완식 (난양기술대학교 기계항공공학부) ;
  • 손석우 (서울대학교 지구환경과학부)
  • Received : 2020.04.13
  • Accepted : 2020.05.19
  • Published : 2020.06.30

Abstract

Although interest in air quality has increased due to the frequent occurrence of high-concentration fine particulate matter recently, the official fine particulate matter measuring network has failed to provide spatial detailed air quality information. This is because current measurement equipment has a high cost of installation and maintenance, which limits the composition of the measuring network at high resolution. To compensate for the limitations of the current official measuring network, this study constructed a spatial high density measuring network using the fine particulate matter simple measuring device developed by Observer, W-Station. W-Station installed 48 units on Jeju Island and measured PM2.5 for six months. The data collected in W-Station were corrected by applying the first regression equation for each section, and these measurements were compared and analyzed based on the official measurements installed in Jeju Island. As a result, the time series of PM2.5 concentrations measured in W-Station showed concentration characteristics similar to those of the environmental pollution measuring network. In particular, the results of comparing the measurements of W-Station within a 2 km radius of the reference station and the reference station showed that the coefficient of determination (R2) was 0.79, 0.81, 0.67, respectively. In addition, for W-Station within a 1 km radius, the coefficient of determination was 0.85, 0.82, 0.68, respectively, showing slightly higher correlation. In addition, the local concentration deviation of some regions could be confirmed through 48 high density measuring networks. These results show that if a network of measurements is constructed with adequate spatial distribution using a number of simple meters with a certain degree of proven performance, the measurements are effective in monitoring local air quality and can be fully utilized to supplement or replace formal measurements.

Keywords

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