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

Citation status

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

[book] Benjey W / 2001 / Implementation of the SMOKE emissions data processor and SMOKE tool input data processor in Models-3

[journal] Bernard SM / 2001 / The potential impact of climate variability and change on air pollution health effects in the United States / Environmental Health Perspectives 109(2) : 199~209

[report] Byun DW / 1999 / Science Algorithms of the EPA Models-3 Community Multi-scale Air Quality(CMAQ) Modeling System. EPA Report. EPA/600/R-99/030 / NERL

[report] Carter W. / 1999 / Documentation of the SAPRC-99 Chemical Mechanism for VOC Reactivity Assessment. Report to California Air Resources Board

[journal] Chen F / 2001 / Coupling an advanced land surface hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity / Mon. Wea. Rev. 129 : 569~585

[journal] Choi JK / 2013 / Source apportionment of <TEX>$PM_{2.5}$</TEX> at the coastal area in Korea / Science of the Total Environment 447 : 370~380

[book] Choi KC / 2018 / Performance evaluation of air quality forecasting system for <TEX>$PM_{2.5}$</TEX> concentrations applied by predicted emission inventories over China and South Korea

[journal] Di Q / 2017 / Air Pollution and Mortality in the Medicare Population / The New England Journal of Medicine 376(26) : 2513~2522

[other] / 1999 / EMEP/MSC-W, Computing Source-Receptor Matrices with the EMEP Eulerian Acid Deposition Model

[journal] Fajersztajn L / 2013 / Air Pollution: a potentially modifiable risk factor for lung cancer / Nat. Rev. Cancer. 13 : 674~678

[report] Gong SY / 2012 / A study on the health impact and management policy of <TEX>$PM_{2.5}$</TEX> in Korea / Korea Environment Institute

[journal] Gilliand AB. / 2008 / Dynamic evaluation of regional air quality models: Assessing changes in O3 stemming from changes in emissions and meteorology / Atmospheric Environment 42(20) : 5110~5123

[journal] Guenther A / 1995 / A global model of natural volatile organic compound emissions / J. Geophys. Res 100 : 8873~8892

[journal] 이상협 / 2006 / Submucosal Saline-Epinephrine Injection in Colonoscopic Polypectomy: What is the Proper Application? / Clinical Endoscopy / 대한소화기내시경학회 33(2) : 77~84

[journal] Hong SY / 2004 / A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation / Monthly Weather Review 132(1) : 103~120

[journal] Hong SY / 2006 / A new vertical diffusion package with and explicit treatment of entrainment processes / Monthly weather review 134(9) : 2318~2341

[book] IARC / 2013 / Outdoor air pollution a leading environmental cause of cancer deaths

[report] IPCC / 2007 / Working Group 1 Contribution to the IPCC's 4th Assessment Report

[report] IPCC / 2013 / Working Group 1 Contribution to the IPCC's 5th Assessment Report

[journal] Jeon W / 2016 / Computaionally efficient air quality forecasting tool: implementation of STOPS v1.5 model into CMAQ v5.0.2 for a prediction of Asian dust / Geosci. Model Dev. 9 : 3671~3684

[book] Jung J / 2010 / Spectral optical properties of long-range transport Asian dust and pollution aerosols over Northeast Asia in 2007 and 2008

[journal] Kim BU / 2016 / Influence of fossil-fuel power plant emissions on the surface fine particulate matter in the Seoul Capital Area, South Korea / Journal of the Air and Waste Management Association. 66(9) : 863~873

[journal] Kim HC / 2017 / Regional contributions to particulate matter concentration in the Seoul metropolitan area, Seouth Korea: seasonal variation and sensitivity to meteorology and emission inventor / Atmospheric Chemistry and Physics 17 : 10315~10332

[journal] 김철희 / 2005 / Evaluation of the Effect of Traffic Control Program on theAmbient Air Quality in Seoul Metropolitan Area Usingthe Lower Level Stability Index of Atmosphere / 한국대기환경학회지 / 한국대기환경학회 21(2) : 243~257

[journal] LEE SM / 2011 / High-<TEX>$PM_{10}$</TEX> concentration episodes in Seoul, Korea: Background sources and related meteorological conditions / Atmospheric Environment 45(39) : 7240~7247

[journal] Li M / 2015 / MIX: a mosaic Asian anthropogenic emission inventory for the MICS-Asia and the HTAP projects / Atmos. Chem. Phys. Discuss. 15(23) : 34~813

[journal] Mlawer EJ / 1997 / Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave / Journal of Geophysical Research: Atmospheres 102(D14) : 16663~16682

[other] NCEP / 2000 / NCEP FNL Operational Model Global Tropospheric Analysis, continuing from July, 1999. Research Data Archive at the National Center for Atmospheric Research / Computational and Information System Laboratory

[journal] Oh HR / 2015 / Long-range transport of air pollutants originating in China: A possible major couse of multi-day high TEX>$PM_{10}$</TEX> episodes during cold season in Seoul, Korea / Atmospheric Environment 109 : 23~30

[journal] Pope CA / 2006 / Health Effects of Fine Particulate Air Pollution: Lines that Connect / Journal of the Air & Waste Management Association 56(6) : 709~742

[journal] Pope CAI / 2009 / Fine- particulate air pollution and life expectancy in the United States / New England Journal of Medicine 360 : 376~386

[book] Seinfeld JH / 2006 / Atmospheric chemistry and physics / Hoboken

[journal] Schwartz J / 1996 / Is daily mortality associated specifically with fine particles? / Journal of the Air & Waste Management Association 46 : 927~939

[report] Skamarock WC / 2008 / A description of the advanced research WRF version 3. NCAR Tech. Note NCAR/TN-475+STR / National Center for Atmospheric Research : 125~

[journal] Tao WK / 1989 / An ice-water saturation adjustment / Monthly Weather Review 117(1) : 231~235

[confproc] Tewari M / 2004 / Implementation and verification of the unified NOAH land surface model in the WRF model / 20th conference on weather analysis and forecasting/16th conference on numerical weather prediction : 11~15

[book] WHO / 2013 / Health Effects of Particulate Matter- Policy implications for countries in eastern Europe. Caucasus and central Asia : 6~7

[journal] Yasunari T / 2013 / Asia: proving ground for global sustainability / Curr. Opin. Environ. Sustain. 5 : 288~292

[journal] Zheng J / 2009 / A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment / Atmospheric Environment 43(32) : 5112~5122

[journal] Zhang W / 2012 / Geosci / Geoscientific Model Development 5(2) : 355~368

KJCKorea
Journal Central

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

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

Statistics

Tools

Issue List

Citation status

KCI Citation Counts (2)

REFERENCES (40) * References for papers published after 2023 are currently being built.

Search PDF

Citation

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