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Statistical Back Trajectory Analysis for Estimation of CO₂ Emission Source Regions
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공기괴 역궤적 모델의 통계 분석을 통한 이산화탄소 배출 지역 추정

논문 기본 정보

Type
Academic journal
Author
Shanlan Li (서울대학교) Sunyoung Park (경북대학교) Mi-Kyung Park (서울대학교) Chun Ok Jo (서울대학교) Jae-Yeon Kim (서울대학교) Ji-Yoon Kim (서울대학교) Kyung-Ryul Kim (광주과학기술원)
Journal
Korean Meteorological Society Atmosphere-Korea Vol.24 No.2 KCI Accredited Journals ESCI
Published
2014.6
Pages
245 - 251 (7page)

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Statistical Back Trajectory Analysis for Estimation of CO₂ Emission Source Regions
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Statistical trajectory analysis has been widely used to identify potential source regions for chemically and radiatively important chemical species in the atmosphere. The most widely used method is a statistical source?receptor model developed by Stohl (1996), of which the underlying principle is that elevated concentrations at an observation site are proportionally related to both the average concentrations on a specific grid cell where the observed air mass has been passing over and the residence time staying over that grid cell. Thus, the method can compute a residence-time-weighted mean concentration for each grid cell by superimposing the back trajectory domain on the grid matrix. The concentration on a grid cell could be used as a proxy for potential source strength of corresponding species. This technical note describes the statistical trajectory approach and introduces its application to estimate potential source regions of CO<SUB>2</SUB> enhancements observed at Korean Global Atmosphere Watch Observatory in Anmyeon-do. Back trajectories are calculated using HYSPLIT 4 model based on wind fields provided by NCEP GDAS. The identified CO<SUB>2</SUB> potential source regions responsible for the pollution events observed at Anmyeon-do in 2010 were mainly Beijing area and the Northern China where Haerbin, Shenyang and Changchun mega cities are located. This is consistent with bottom-up emission information. In spite of inherent uncertainties of this method in estimating sharp spatial gradients within the vicinity of the emission hot spots, this study suggests that the statistical trajectory analysis can be a useful tool for identifying anthropogenic potential source regions for major GHGs.
#CO< #SUB> #2< #/SUB> # source region #statistical trajectory model #Anmyeon-do

Contents

Abstract
1. 서론
2. 분석방법
3. 응용사례 연구: 안면도에서 연속 관측한 이산화탄소 오염농도의 배출지역 추정
4. 결론
REFERENCES

References (18)

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1. [학술지(정기간행물)] - Aalto, T. / 2002 / Tropospheric carbon dioxide concentrations at a northern boreal site in Finland: basic variations and source areas / Tellus 54B : 110 ~ 126 google schola 2. [학술지(정기간행물)] - Ashbaugh, L. / 1983 / A statistical trajectory technique for determining air pollution source regions / J. Air Pollut. Control Assoc. 33 : 1096 ~ 1098 google schola 3. [학술지(정기간행물)] - Charron, A. / 2000 / A study of the source-receptor relationships influencing the acidity of precipitation collected at a rural site in France / Atmos. Environ. 34 : 3665 ~ 3674 google schola 4. [인터넷자원] - Draxler, R. R. / / NOAA technical memorandum ERL ARL-224: Description of the HYSPLIT_4 modeling system google schola 5. [학술지(정기간행물)] - Harris, J. M. / 1990 / A descriptive atmospheric transport climatology for the Mauna Loa Observatory, using clustered trajectories / J. Geophys. Res. 95 : 13651 ~ 13667 google schola

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