RISS 검색 - 국내학술지논문 상세보기

다국어 초록 (Multilingual 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.

참고문헌 (Reference)

1 김진수, "생활 속 미세먼지 영향평가를 위한 소형센서의 신뢰성 및 활용성 평가" 한국환경영향평가학회 27 (27): 378-393, 2018

2 강민수, "관측망 밀도가 기상 자료의 격자형 수평 분포에 미치는 영향" 한국기상학회 29 (29): 183-196, 2019

3 Barkjohn, K. K., "Using low-cost sensors to quantify the effects of air filtration on indoor and personal exposure relevant PM2. 5 concentrations in Beijing, China" 20 : 297-313, 2019

4 Mead, M. I., "The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks" 70 : 186-203, 2013

5 Kumar, P., "The rise of low-cost sensing for managing air pollution in cities" 75 : 199-205, 2015

6 Marco, S., "The need for external validation in machine olfaction : emphasis on health-related applications" 406 : 3941-3956, 2014

7 Snyder, E. G., "The changing paradigm of air pollution monitoring" 47 (47): 11369-11377, 2013

8 World Health Organization, "The World Health Report 2000: Health systems: improving performance" 2000

9 Aleixandre, M., "Review of small commercial sensors for indicative monitoring of ambient gas" 30 : 169-174, 2012

10 Kim, H. C., "Recent increase of surface particulate matter concentrations in the Seoul Metropolitan Area, Korea" 7 : 4710-, 2017