A13D-3212:
Development of Source-Receptor matrix over South Korea in support of GAINS-Korea model
Monday, 15 December 2014
Ki-Chul Choi1, Jung-Hun Woo1, Hyeon Kook Kim2, Yong-Mi Lee1, Younha Kim1, Chris Heyes3, Jae-Bum Lee4, Chang-Keun Song5 and Jinseok Han6, (1)Konkuk University, Dept. of Advanced Technology Fusion, Seoul, South Korea, (2)Konkuk University, Seoul, South Korea, (3)IIASA International Institute for Applied Systems Analysis, Laxenburg, Austria, (4)NIER National Institute of Environmental Research, Incheon, South Korea, (5)National Environment Research, Incheon, South Korea, (6)NIER, Korea, Incheon, South Korea
Abstract:
A comprehensive and combined analysis of air pollution and climate change could reveal important synergies of emission control measures, which could be of high policy relevance. IIASA’s GAINS model (The Greenhouse gas – Air pollution Interactions and Synergies) has been developed as a tool to identify emission control strategies that achieve given targets on air quality and greenhouse gas emissions at least costs. The GAINS-Korea Model, which is being jointly developed by Konkuk University and IIASA, should play an important role in understanding the impact of air quality improvements across the regions in Korea. Source-Receptor relationships (S-R) is an useful methodology in air pollution studies to determine the areas of origin of chemical compounds at receptor point, and thus be able to target actions to reduce pollutions. The GAINS model can assess the impact of emission reductions of sources on air quality in receptor regions based on S-R matrix, derived from chemical transport model. In order to develop S-R matrix for GAINS-Korea, the CAMx model with PSAT/OSAT tools was applied in this study. The coarse domain covers East Asia, and a nesting domain as main research area was used for Korea peninsula. To evaluate of S-R relationships, a modeling domain is divided into sixteen regions over South Korea with three outside of S. Korea countries (China, N. Korea and Japan) for estimating transboundary contributions. The results of our analysis will be presented at the conference.