WRF-CMAQ 모델링 시스템을 활용한 PM2.5 농도변동 원인 분석: 2016년과 2017년의 가을철을 중심으로 (Analysis of the Changes in PM2.5 Concentrations using WRF-CMAQ Modeling System: Focusing on the Fall in 2016 and 2017)

남기표 (Kipyo Nam); 임용재; 박지훈 (Jihoon Park); 김덕래 (Deok-Rae Kim); 이재범; 김상민 (Sang-Min Kim); 정동희 (Dong-Hee Chung); 최기철 (Ki-Chul Choi); 박현주 (Hyun-Ju Park); 이한솔; 장임석 (Im-Suk Jang); 김정수

Analysis of the Changes in PM2.5 Concentrations using WRF-CMAQ Modeling System: Focusing on the Fall in 2016 and 2017

Journal of Environmental Impact Assessment
Abbr : J EIA
2018, 27(2), pp.215~231
Publisher : Korean Society Of Environmental Impact Assessment
Research Area : Engineering > Environmental Engineering

Kipyo Nam ¹, 임용재 ¹, Jihoon Park ², Deok-Rae Kim ¹, 이재범 ¹, Sang-Min Kim ¹, Dong-Hee Chung ¹, Ki-Chul Choi ¹, Hyun-Ju Park ¹, 이한솔 ³, Im-Suk Jang ¹, 김정수 ¹

¹국립환경과학원
²국립환경과학원 기후대기연구부
³국립환경과학원 대기질통합예보센터

Accredited

ABSTRACT

It was analyzed to identify the cause of PM2.5 concentration changes for the fall in 2016 and 2017 in South Korea using ground measurement data such as meterological variables and PM2.5, AOD from GOCI satellite, and WRF-CMAQ modeling system. The result of ground measurement data showed that the PM2.5 concentrations for the fall in 2017 decreased by 12.3% (3.0 μg/m3) compared to that of 2016. The difference of PM2.5 concentrations between 2016 and 2017 mainly occurred for 11 Oct. – 20 Oct. (CASE1) and 15 Nov. – 19 Nov. (CASE2) when weather conditions were difficult to long-range transport from foreign regions and favored atmospheric ventilation in 2017 compared to 2016. Simulated PM2.5 concentrations in 2017 decreased by 64.0% (23.1 μg/m3) and 35.7% (12.2 μg/m3) during CASE1 and CASE2, respectively. These results corresponded to the changes in observed PM2.5 concentrations such as 53.6% for CASE1 and 47.8% for CASE2. It is implied that the changes in weather conditions affected significantly the PM2.5 concentrations for the fall between 2016 and 2017. The contributions to decreases in PM2.5 concentrations was assessed as 52.8% by long-range transport from foreign regions and 47.2% by atmospheric ventilation effects in domestic regions during CASE1, whereas their decreases during CASE2 were affected by 66.4% from foreign regions and 33.6% in domestic regions.

KEYWORDS

PM2.5, Contribution, Meteorological conditions, Fall, CMAQ

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Journal of Environmental Impact Assessment 2023 KCI Impact Factor : 0.51

Analysis of the Changes in PM2.5 Concentrations using WRF-CMAQ Modeling System: Focusing on the Fall in 2016 and 2017

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Citation status

* References for papers published after 2023 are currently being built.

Journal of Environmental Impact Assessment 2023 KCI Impact Factor : 0.51

Analysis of the Changes in PM2.5 Concentrations using WRF-CMAQ Modeling System: Focusing on the Fall in 2016 and 2017

ABSTRACT

KEYWORDS

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