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KMID : 1024520100190050591
Journal of the Environmental Sciences
2010 Volume.19 No. 5 p.591 ~ p.605
A Regional Source-Receptor Analysis for Air Pollutants in Seoul Metropolitan Area
Lee Yong-Mi

Hong Sung-Chul
Yoo Chul
Kim Jeong-Soo
Hong Ji-Hyung
Park Il-Su
Abstract
This study were to simulate major criteria air pollutants and estimate regional source-receptor relationship using air quality prediction model (TAPM ; The Air Pollution Model) in the Seoul Metropolitan area. Source-receptor relationship was estimated by contribution of each region to other regions and region itself through dividing the Seoul metropolitan area into five regions. According to administrative boundary, region ¥° and region ¥± were Seoul and Incheon in order. Gyeonggi was divided into three regions by directions like southern(region ¥²), northern(¥³) and eastern(¥´) area. Gridded emissions (1km¡¿1km) by Clean Air Pollicy Support System (CAPSS) of National Institute of Environmental Research (NIER) was prepared for TAPM simulation. The operational weather prediction system, Regional Data Assimilation and Pr [¼ûÀº¼³¸í:½ÃÀÛ] [¼ûÀº¼³¸í:³¡] ediction System (RDAPS) operated by the Korean Meteorology Administration (KMA) was used for the regional weather forecasting with 30km grid resolution. Modeling period was 5 continuous days for each season with non-precipitation . The results showed that region ¥° was the most air-polluted area and it was 3¢¦4 times more polluted region than other regions for NO2, SO2 and PM10. Contributions of SO2 NO2 and PM10 to region ¥°, ¥± and ¥² were more than 50 percent for their own sources. However region ¥³ and ¥´ were mostly affected by sources of region ¥°, ¥± and ¥². When emissions of all regions were assumed to reduce 10 and 20 percent separately, air pollution of each region was reduced linearly and the contributions of reduction scenario were similar to those of base case. As input emissions were reduced according to different ratio - region ¥° 40 percent, region ¥± and ¥² 20 percent, region ¥³ and ¥´ 10 percent, air pollutions of region ¥° and ¥² were decreased remarkably. The contributions to region¥°, ¥±, ¥² were also reduced for their own sources. However, region ¥°, ¥± and ¥² affected more regions ¥³ and ¥´. Shortly, graded reduction of emission could be more effective to control air pollution in emission imbalanced area.
KEYWORD
Source-Receptor, Model, TAPM, Emission, Air pollution
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