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A Study on Particulate Matter Forecasting Improvement by using Asian Dust Emissions in East Asia
Daeryun Choi,Huiyoung Yun,Limseok Chang,Jaebum Lee,Younghee Lee,Jisu Myoung,Taehee Kim,Younseo Koo 한국도시환경학회 2018 한국도시환경학회지 Vol.18 No.4
Air quality forecasting system with Asian dust emissions was developed in East Asia, and PM10 forecasting performance of chemical transport model with Asian dust emissions was validated and evaluated. The chemical transport model (CTM) with Asian dust emission was found to supplement PM10 concentrations that had been under-estimated in China regions and improved statistics for performance of CTM, although the model were overestimated during some periods in China. In Korea, the prediction model adequately simulated inflow of Asian dust events on February 22~24 and March 16~17, but the model is found to be overestimated during no Asian dust event periods on April. However, the model supplemented PM10 concentrations, which was underestimated in most regions in Korea and the statistics for performance of the models were improved. The PM10 forecasting performance of air quality forecasting model with Asian dust emissions tends to improve POD (Probability of Detection) compared to basic model without Asian dust emissions, but A (Accuracy) has shown similar or decreased, and FAR (False Alarms) have increased during 2017.Therefore, the developed air quality forecasting model with Asian dust emission was not proposed as a representative PM10 forecast model in South Korea.
James H. Crawford,Katherine Travis,Laura Judd,Barry Lefer,Jack Dibb,Jhoon Kim,Rokjin Park,Gangwoong Lee,Limseok Chang,James Simpas,Maria Obiminda Cambaliza,Ronald Macatangay,Vanisa Surapipith,Narisara 한국대기환경학회 2021 한국대기환경학회 학술대회논문집 Vol.2021 No.10
The recent launch of the Geostationary Environment Monitoring Spectrometer (GEMS) provides an important catalyst for increased dialogue and cooperation among Asian countries to address air quality. Other emerging efforts to support GEMS validation and international cooperation include the Pandora Asia Network (PAN) and the Pan Asia Partnership for Geospatial Air Pollution Information (PAPGAPI). These efforts represent long-term commitments to bridging satellite observations with ground-based monitoring to inform air quality. Aircraft observations can provide invaluable context to the satellite and ground-based perspectives that are used more routinely to inform air quality models used for both forecasting and attribution. Important information from aircraft includes measuring detailed composition for source fingerprinting, vertical profiling of composition for satellite validation and model assessment, observing chemical and dynamical processes affecting secondary pollution (i.e., fine particles and ozone), relating specific VOC mixtures to satellite HCHO, providing fine scale pollution mapping with remote sensors, etc. Such information is critical for understanding the local factors influencing air quality for a specific location, quantifying emission sources, and assessing potential mitigation strategies for decision makers. ASIA-AQ proposes to provide airborne observations over three to five Asian megacities with repetitive observations that will observe the diurnal and vertical distribution of primary emissions and secondary pollutants with at least four flights over each location. In combination with satellite and ground observations, data would support analyses for assessment of emissions, model evaluation, process-level understanding of secondary pollutants (i.e., fine particles and ozone), and satellite validation and interpretation. Current status of the ASIA-AQ white paper, nominal plans, and opportunities for involvement will be presented.