Hanlim Lee

Prof. Hanlim Lee

Department of Spatial Information Engineering, Pukyong National University, Busan, Korea

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 March 2011 in Journal of Geophysical Research: Atmospheres
Verified
Journal Article
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CLChulkyu Lee
Chulkyu Lee
RMRandall V. Martin
Randall V. Martin
ADAaron van Donkelaar
Aaron van Donkelaar
Hanlim LeeHanlim Lee
Hanlim Lee
RDRussell Dickerson
Russell Dickerson
JSJames J. Schwab
James J. Schwab

1 August 2009 in Journal of Environmental Management
Verified
Journal Article
Closed access
JJJinsang Jung
Jinsang Jung
Hanlim LeeHanlim Lee
Hanlim Lee
YKYoung J. Kim
Young J. Kim
XLXingang Liu
Xingang Liu
YZYuanhang Zhang
Yuanhang Zhang
SFShaojia Fan
Shaojia Fan

23 May 2011 in Journal of Environmental Monitoring
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Journal Article
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UJUkkyo Jeong
Ukkyo Jeong
Jhoon KimJhoon Kim
Jhoon Kim
Hanlim LeeHanlim Lee
Hanlim Lee
JJJinsang Jung
Jinsang Jung
YKYoung J. Kim
Young J. Kim
JKJa-Ho Koo
Ja-Ho Koo
The contributions of long range transported aerosol in East Asia to carbonaceous aerosol and particulate matter (PM) concentrations in Seoul, Korea were estimated with potential source contribution function (PSCF) calculations. Carbonaceous aerosol (organic carbon (OC) and elemental carbon (EC)), PM2.5, and PM10 concentrations were measured from April 2007 to March 2008 in Seoul, Korea. The PSCF and concentration weighted trajectory (CWT) receptor models were used to identify the spatial source distributions of OC, EC, PM2.5, and coarse particles. Heavily industrialized areas in Northeast China such as Harbin and Changchun and East China including the Pearl River Delta region, the Yangtze River Delta region, and the Beijing–Tianjin region were identified as high OC, EC and PM2.5 source areas. The conditional PSCF analysis was introduced so as to distinguish the influence of aerosol transported from heavily polluted source areas on a receptor site from that transported from relatively clean areas. The source contributions estimated using the conditional PSCF analysis account for not only the aerosol concentrations of long range transported aerosols but also the number of transport days effective on the measurement site. Based on the proposed algorithm, the condition of airmass pathways was classified into two types: one condition where airmass passed over the source region (PS) and another condition where airmass did not pass over the source region (NPS). For most of the seasons during the measurement period, 249.5–366.2% higher OC, EC, PM2.5, and coarse particle concentrations were observed at the measurement site under PS conditions than under NPS conditions. Seasonal variations in the concentrations of OC, EC, PM2.5, and coarse particles under PS, NPS, and background aerosol conditions were quantified. The contributions of long range transported aerosols on the OC, EC, PM2.5, and coarse particle concentrations during several Asian dust events were also estimated. We also investigated the performance of the PSCF results obtained from combining highly time resolved measurement data and backward trajectory calculations via comparison with those from data in low resolutions. Reduced tailing effects and the larger coverage over the area of interest were observed in the PSCF results obtained from using the highly time resolved data and trajectories.

27 January 2009 in Journal of Geophysical Research: Atmospheres
Verified
Journal Article
Open access
PDF file
JJJinsang Jung
Jinsang Jung
Hanlim LeeHanlim Lee
Hanlim Lee
YKYoung J. Kim
Young J. Kim
XLXingang Liu
Xingang Liu
YZYuanhang Zhang
Yuanhang Zhang
NSNobuo Sugimoto
Nobuo Sugimoto
In order to investigate the optical properties of atmospheric aerosol in the urban area of Beijing, in situ and remote measurements of particulate pollutants were conducted at an urban site (39.98°N, 116.35°E, ∼20 m above ground level) in Beijing during the Campaign of Air Quality Research in Beijing (CAREBeijing) campaign from 16 August to 10 September 2006. During the intensive measurement period, average PM2.5 mass concentration and light extinction coefficient (bext) were measured to be 102.1 ± 55.0 μg m−3 and 880.7 ± 685.9 Mm−1, respectively. Average mass scattering efficiency of PM10 and PM2.5 particle were found to be 2.5 ± 1.1 and 3.4 ± 1.2 m2 g−1, respectively. Average single scattering albedo (SSA) of dry PM10 was characterized to be 0.82 ± 0.09. It was found that SSA decreased to lower values of ∼0.75 during the relatively clean condition while it increased up to ∼0.86 during polluted condition mainly owing to the increases of ammonium sulfate, ammonium nitrate, and organic mass by carbon's contributions to PM mass concentrations. Pollution episodes in Beijing were strongly related to wind speed and wind direction. Stagnant weather conditions with southerly wind and low wind speed accelerated the accumulation of the pollutants in Beijing, which led to severe haze. It has been found that high PM2.5/AOT (aerosol optical thickness) ratio of 228.2 μg m−3 was observed when air mass was transported from western or northern China while significantly lower PM2.5/AOT of 107.6 μg m−3 was observed when it was affected mostly by local air pollutants in Beijing.

1 February 2009 in Atmospheric Environment
Verified
Journal Article
Closed access
YNYoung M. Noh
Young M. Noh
DMDETLEF MÜLLER
DETLEF MÜLLER
DSDong H. Shin
Dong H. Shin
Hanlim LeeHanlim Lee
Hanlim Lee
JJJin S. Jung
Jin S. Jung
YKYoung J. Kim
Young J. Kim

1 June 2008 in Atmospheric Research
Verified
Journal Article
Closed access
Hanlim LeeHanlim Lee
Hanlim Lee
SPSeung S. Park
Seung S. Park
KKKyung W. Kim
Kyung W. Kim
YKYoung J. Kim
Young J. Kim