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Evaluation of Particulate Matter's Traits and Reduction Effects in Urban Forest, Seoul

서울 청량리 교통섬과 홍릉숲의 미세먼지 특성과 저감효과 평가

  • Kim, Pyung-Rae (Urban Forests Division, National Institute of Forest Science) ;
  • Park, Chan-Ryul (Urban Forests Division, National Institute of Forest Science)
  • 김평래 (국립산림과학원 도시숲연구과) ;
  • 박찬열 (국립산림과학원 도시숲연구과)
  • Received : 2020.11.23
  • Accepted : 2021.08.11
  • Published : 2021.10.31

Abstract

This study analyzed the effect of forests on reducing particulate matter by investigating the particulate matter concentration and influencing factors between urban forest and traffic forest. The concentrations of particulate matter in Hongreung Experimental Forest (urban forest) and a forest (traffic forest) formed at the intersection of Cheongryangri Station in Dongdaemun-gu, Seoul were measured with the light scattering method instrument from January to November 2018. During the study period, the average PM10 concentrations in the urban forest and the traffic forest were 12.5㎍/m3 and 15.7 ㎍/m3, respectively, and the average PM2.5 concentrations were 16.6㎍/m3and 6.9 ㎍/m3, respectively. Comparing the concentration by the urban atmospheric measurement network of the Ministry of Environment and the concentration in urban forests showed that the reduction rate of PM10 was 66.9±28.6% in urbanforest and 58.6±44.1% in traffic forest and that of PM2.5 was 71.3±23.0% and 64.9±31.3%. The difference in the reduction rate of particulate matter is likely related to the size and structure of the urban forest, and the wind velocity is considered the reduction factor.

도심 교통섬과 도시숲 내부에서 미세먼지 농도와 영향 인자를 조사하여 숲의 미세먼지 효과를 분석하였다. 서울시 동대문구 홍릉시험림(도시숲)과 동대문구 청량리역 교차로에 조성된 숲(교통섬)에서 미세먼지 농도를 2018년 1월부터 11월까지 광산란법 기기를 적용하여 측정하였다. 연구 기간 동안 도시숲과 교통섬의 PM10 평균농도는 12.5 ㎍/m3, 15.7 ㎍/m3으로 나타났으며, PM2.5의 평균농도는 6.6 ㎍/m3, 6.9 ㎍/m3으로 나타났다. 환경부 도시대기 측정망과 도시숲의 농도를 비교해본 결과, PM10의 저감율은 도시숲에서 66.9±28.6%, 교통섬에서 58.6±44.1%로 나타났고, PM2.5의 경우 71.3±23.0%, 64.9±31.3%로 각각 나타났다. 미세먼지 저감율의 차이는 도시숲의 규모와 구조의 차이와 관련이 있을 것이며, 풍속은 저감 요인으로 판단된다.

Keywords

Acknowledgement

이 논문은 국립산림과학원 '미세먼지 발생원 대응 도시숲 조성 모델 개발' 과제 (No. FE0100-2019-03-2020)의 지원으로 수행되었음

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