• Title/Summary/Keyword: Wintertime Asian dust

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Characteristics of wintertime Asian Dust occurrence at Busan (부산지역의 겨울철 황사 발생 특성)

  • Jeon, Byung-Il
    • Journal of Environmental Impact Assessment
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    • v.21 no.4
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    • pp.581-591
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    • 2012
  • The purpose of this study was to analyze the characteristics of fine particles concentration and meteorological parameters, and long range transport of wintertime Asian dust at Busan. Also we studied occurrence frequency and tendency of wintertime Asian dust from 1961 to 2010 in Korea. Asian dust occurred most frequently in the spring, the next to winter in Korea. Wintertime Asian dust is steadily increasing recently. Asian dust in Busan was the most occurred in 2001 with 21 days, followed by 12 days in 2002, and 10 days in 2006. The annual mean frequency during the past 12 years(1999~2010) was 7.5 days, and it was two times more than that during the past 50 years(3.8 days). Wintertime Asian dust in Busan has occurred 6 episodes since 2008, and it all occurred in December except for 20 Feb. 2009. The highest concentration of wintertime Asian dust was recorded mostly at Hakjangdong and Jangrimdong which are industrial area. Maintenance time of Asian dust at Busan was from 1hr 30min to 9hr 20min, it was shorter than in the spring. It took from 10 to 15 hours move to Busan after Asian dust was first detected in Korea. Wintertime Asian dust originated from Gobi desert in Mongolia and inner Mongolia near China, except for 9 Dec. 2008 at Busan.

Estimation of Dust Emission Schemes and Input Parameters in Wintertime Asian Dust Simulation: A Case Study of Winter Dust Event on December 29, 2007 (겨울철 황사 모의시 황사배출량 산정식과 입력자료의 평가: 2007년 12월 29일 황사사례 연구)

  • Kang, Jung-Yoon;Kim, Sang-Woo;Yoon, Soon-Chang
    • Journal of Korean Society for Atmospheric Environment
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    • v.28 no.1
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    • pp.1-11
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    • 2012
  • A case study was conducted for a severe wintertime dust event that occurred on December 29, 2007 in Korea. Three different dust emission schemes, namely, those of Marticorena and Bergametti (1995), Lu and Shao (1999), and Shao (2004) (hereinafter, referred to MB, LS, and S04 schemes, respectively) were implemented in Weather Research Forecast with Chemistry (WRF/Chem) to assess their performance in simulating wintertime Asian dust events. WRF/Chem simulation reproduces dust emission over Mongolia on December 27 and 28, 2007 and the onset timing of the dust event in Korea well. There is, however, a huge difference among the estimated dust emission amounts for the three schemes; the dust concentration derived by MB scheme is 6 times larger than that from LS scheme. The three schemes overestimate dust concentrations when comparing to observed surface-level $PM_{10}$ mass concentrations in Ganghwa, Seoul, and Yeongwol. This discrepancy is thought to be mainly due to the overestimated model winds and the surface condition such as snow cover fraction, which did not adequately represent the real conditions. Considering frozen soil effect on dust emission, the model results are comparable with observation data: it is important to consider frozen soil in simulating wintertime dust events.

Performance Analysis of Simulation of Asian Dust Observed in 2010 by the all-Season Dust Forecasting Model, UM-ADAM2 (사계절 황사단기예측모델 UM-ADAM2의 2010년 황사 예측성능 분석)

  • Lee, Eun-Hee;Kim, Seungbum;Ha, Jong-Chul;Chun, Youngsin
    • Atmosphere
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    • v.22 no.2
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    • pp.245-257
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    • 2012
  • The Asian dust (Hwangsa) forecasting model, Asian Dust Aerosol Model (ADAM) has been modified by using satelliate monitoring of surface vegetation, which enables to simulate dusts occuring not only in springtime but also for all-year-round period. Coupled with the Unified Model (UM), the operational weather forecasting model at KMA, UM-ADAM2 was implemented for operational dust forecasting since 2010, with an aid of development of Meteorology-Chemistry Interface Processor (MCIP) for usage UM. The performance analysis of the ADAM2 forecast was conducted with $PM_{10}$ concentrations observed at monitoring sites in the source regions in China and the downstream regions of Korea from March to December in 2010. It was found that the UM-ADAM2 model was able to simulate quite well Hwangsa events observed in spring and wintertime over Korea. In the downstream region of Korea, the starting and ending times of dust events were well-simulated, although the surface $PM_{10}$ concentration was slightly underestimated for some dust events. The general negative bias less than $35{\mu}g\;m^{3}$ in $PM_{10}$ is found and it is likely to be due to other fine aerosol species which is not considered in ADAM2. It is found that the correlation between observed and forecasted $PM_{10}$ concentration increases as forecasting time approaches, showing stably high correlation about 0.7 within 36 hr in forecasting time. This suggests the possibility that there is potential for the UM-ADAM2 model to be used as an operational Asian dust forecast model.

Study on Characteristics of fine Particle (PM10) Concentration in Busan for Five Years (최근 5년간 부산지역의 미세먼지(PM10)농도 특성에 관한 연구)

  • Jeon, Byung-Il;Hwang, Yong-Sik
    • Journal of Environmental Impact Assessment
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    • v.16 no.6
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    • pp.533-542
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    • 2007
  • The general characteristics of fine particle and meteorological analysis of high $PM_{10}$ concentration day which was over $100{\mu}g/m^3$ in busan were investigated for period of 2002 to 2006. Annual mean concentration including Asian dust day was $68.7{\mu}g/m^3$ in 2002, $54.6{\mu}g/m^3$ in 2003, $60.4{\mu}g/m^3$ in 2004, $58.3{\mu}g/m^3$ in 2005 and $58.8{\mu}g/m^3$ in 2006, respectively. Seasonal mean concentration was $73.4{\mu}g/m^3$ in Springtime, $56.8{\mu}g/m^3$ in Summertime, $55.5{\mu}g/m^3$ in Wintertime and $54.4{\mu}g/m^3$ in Falltime, respectively. Mean concentration for land use was 69.2 $37.0{\mu}g/m^3$ in industrial area, 64.2 $35.5{\mu}g/m^3$ in rural area, 62.6 $34.4{\mu}g/m^3$ in commercial area and 55.3 $33.8{\mu}g/m^3$ in residential area, respectively. Frequency of synoptic pattern for high $PM_{10}$ concentration day was 18 days(16.7%) in I type, 27 days(25.0%) in II type, 10 days(9.3%) in III type, 5 days(4.6%) in IV type, 13 days(12.0%) in V type and 29 days (26.9%) in VI type, respectively. Frequency of long range transport sector for high $PM_{10}$ concentration day was 9 days(8.3%) in I type, 64 days(59.5%) in II type, 34 days(31.5%) in III type, 1 days in IV type, 0 days, respectively.

Characterization of Wintertime Atmospheric Aerosols in Seoul Using PIXE and Supplementary Analyzers

  • Ma, Chang-Jin;Mikio Kasahara;Hwang, Kyung-Chul;Yeo, Hyun-Gu;Park, Kum-Chan
    • Journal of Korean Society for Atmospheric Environment
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    • v.16 no.E
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    • pp.19-27
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    • 2000
  • Particle Induced X-ray Emission (PIXE) and Elemental Analysis Syztem (EAS) were applied to the investiga-tion of the Characteristics and sources of wintertime atmospheric aerosols in Seoul. Atmospheric aerosols were collected by both fine and coarse fractions using a two-stage filter pack sampler from Kon-Kuk university during the winter season of 1999. PIXE was applied to the analysis of the middle and heavy elements with atomic numbers greater than 14(Si) and EAS was applied to the measurement of the light elements such as H, C and N. The fact that 64.2% of mass of fine particles in Seoul consists of the light elements (N, C , and H) suggests that the measurement of light elements is extremely important. The average mass concentration is Seoul was 38.6$\mu\textrm{g}$m(sup)-3. Elements such as Ca, Fe, Mg, and Ti appeared to have very low Fine/Coarse ratios(0.1∼0.4), whereas che-mical components related to anthropogenic sources such as Br, V, Pb, and Zn were observed to accumulate in the fine fraction. In the Asian Dust Storm(ADS) event, the concentation of soil components increased dramatically. Reconstruction of the fine mass concentrations estimated by a newly revised simple model was fairly in good agreement with the measured ones. Source identification was attempted using the enrichment factor and Pearsons coefficient of correlation. The typical elements derived from each source could be classified by this method.

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The Features Associated with the Yellow Sand Phenomenon Observed in Korea in Wintertime (겨울철 황상 현상의 특징)

  • 전영신;김지영;부경온;김남욱
    • Journal of Korean Society for Atmospheric Environment
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    • v.16 no.5
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    • pp.487-497
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    • 2000
  • Spring time is a favorable season to be easily observed the Yellow Sand phenomenon in East Asia. In particular most of the phenomenon tend to occur in April. However, Yellow Sand phenomenon was observed from almost the whole country of Korea in winter of 1966, 1977 and 1999. The features of the synoptic weather pattern in the source regions, air stream flow between the source region and Korea, the measurement of TSP concentration, aerosol size distribution, and chemical composition of snow samples associated with Yellow Sand phenomenon were investigated. The result showed the characteristic evolutionary feature of the synoptic system associated with Yellow Sand phenomena, that is, a strong low level wind mobilized the dust within 2 or 3 days before Yellow Sand phenomenon being observed in Seoul. The wind was remarkably intensified in the source region on January 24, 1999 under the strong pressure gradient, A trajectory analysis showed that the Yellow Sand particle could be reached to Korea within 2 days from the source region, Gobi desert, through Loess plateau and Loess deposition region. The TSP concentration at the top of Kwanak mountain during the Yellow Sand phenomenon is abruptly increasing than the monthly mean concentration. The size resolved number concentration of aerosols ranging from 0.3 to 25${\mu}{\textrm}{m}$ was analyzed during Yellow Sand episode. It was evident that aerosols were distinguished by particles in the range of 2-3 ${\mu}{\textrm}{m}$ to result in the abrupt increase in January 1999, After Yellow Sand phenomenon, there was heavy snow in Seoul. By the analysis of snow collected during that time, it was observed that both the Ca(sup)2+ concentration and pH were increased abnormally compared to those in the other winter season.

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