• 한국대기환경학회지
• /
• 제21권1호
• /
• pp.49-62
• /
• 2005

Lake Paldang is a main resource of drinking water for 20 million people in the greater Seoul area. Dry deposition amounts of nitrogen and sulfur were estimated for three typical days in each season over the watershed of Lake Paldang. Models- 3/CMAQ (Community Multiscale Air Quality) and MM5 (Mesoscale Model) were used to predict air quality and meteorology, respectively. Aerosols as well as gaseous pollutants were considered. Nitrogen was mainly deposited in the form of HNO, while most of sulfur was deposited in the form of SO$_2$. Contribution of secondary pollutants was the largest in fall since they were transported from the greater Seoul area. However, contribution of secondarily-formed particulate pollutants to the nitrogen deposition was the largest in winter because semi-volatile ammonium nitrate favors lower temperature. Annual deposition amounts of nitrogen and sulfur were 37% and 26% of their emission amounts, respectively, over the watershed of Lake Paldang. Higher value of the nitrogen deposition showed a more influence of pollutants emitted in the greater Seoul area.

• 천문학회지
• /
• 제36권spc1호
• /
• pp.93-99
• /
• 2003

Various attempts have been made to explain the: pronounced seasonal and universal time (UT) variations of geomagnetic indices. As one of such attempts, we analyze the hourly-averaged auroral electroject indices obtained during the past 20 years. The AU and AL indices maximize during summer and equinoctial months, respectively. By normalizing the contribution of the solar conductivity enhancement to the AU index, or to the eastward electrojet, it is found that the AU also follows the same semiannual variation pattern of the AL index, suggesting that the electric field is the main modulator of the semiannual magnetic variation. The fact that the variation pattern of the yearly-mean AU index follows the mirror image of the AL index provides another indication that the electric field is the main modulator of magnetic disturbance. The pronounced UT variations of the auroral electrojet indices are also noted. To determine the magnetic activity dependence, the probability of recording a given activity level of AU and AL during each UT is examined. The UT variation of the AL index, thus obtained, shows a maximum at around 1200-1800 UT and a minimum around 0000-0800 UT particularly during winter. It is closely associated with the rotation of the geomagnetic pole around the rotational axis, which results in the change of the solar-originated ionospheric conductivity distribution over the polar region. On the other hand the UT variation is prominent during disturbed periods, indicating that the latitudinal mismatch between the AE stations and the auroral electrojet belt is responsible for it. Although not as prominent as the AL index, the probability distribution of the AU also shows two UT peaks. We confirm that the Dst index shows more prominent seasonal variation than the AE indices. However, the UT variation of the Dst index is only noticeable during the main phase of a magnetic storm. It is a combined result of the uneven distribution of the Dst stations and frequent developments of the partial ring current and substorm wedge current preferentially during the main phase.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
• /
• pp.615-617
• /
• 2003

Carbon monoxide (CO) is one of the important trace gases because its concentration in the troposphere directly influences the concentrations of tropospheric hydroxyl (OH), which controls the lifetimes of tropospheric trace gases. CO traces the transport of global and regional pollutants from industrial activities and large scale biomass burning. The distributions of CO were analyzed using the MOPITT data for East Asia, which were compared with the ozone distributions. In general, seasonal CO variations are characterized by a peak in the spring, which decrease in the summer. The monthly average for CO shows a similar profile to that for O$_3$. This fact clearly indicates that the high concentration of CO in the spring is possibly due to one of two causes: the photochemical production of CO in the troposphere, or the transport of the CO into East Asia. The seasonal cycles for CO and O$_3$ in East Asia are extensively influenced by the seasonal exchanges of different air mass types due to the Asian monsoon. The continental air masses contain high concentrations of O$_3$ and CO, due to the higher continental background concentrations, and sometimes to the contribution from regional pollution. In summer this transport pattern is reversed, where the Pacific marine air masses that prevail over Korea bring low concentrations of CO and O$_3$, which tend to give the apparent summer minimums.

• Journal of Korean Society for Atmospheric Environment
• /
• 제18권E4호
• /
• pp.203-213
• /
• 2002

Receptor modeling is one of statistical methods to achieve reasonable air pollution strategies. In order to maintain and manage ambient air quality, it is necessary to identify sources and to apportion its sources for ambient particulate matters. The main purpose of the study was to survey seasonal trends of inorganic elements in the coarse and fine particles. Second, this study has attempted emission sources qualitatively by a receptor method, the PMF mo-del. After that. both PMF (positive matrix factorization) model and TTFA (target transformation factor analysis) model were applied to compare and to estimate mass contribution of coarse and fine particle sources at the receptor. A total of 138 sets of samples was collected from 1989 to 1996 by a low volume cascade impactor with 9 size fraction stages at Kyung Hee University in Korea. Sixteen chemical species (Si, Ca, Fe, K, Pb, Na, Zn, Mg, Ba, Ni, V, Mn, Cr, Br, Cu. Co) were characterized by XRF. The study result showed that the weighted arithmetic mean of coarse and fine particles were 51.3 and 54.4 $\mu\textrm{g}$/㎥, respectively. Contribution of both particle fractions were esti-mated using TTFA and PMF models. The number of estimated sources was seven according to TTFA model and 8 according to PMF model. Comparison of TTFA and PMF revealed that both methodologies exhibited similar trends in their contribution pattern. However, large differences between contributions were observed in some sour-ces. The results of this study may help to suggest control strategies in local countries where known source profiles do not exist.

• 한국물환경학회지
• /
• 제30권2호
• /
• pp.119-127
• /
• 2014

The objective of this study is to evaluate and analyze Sumjin River Basin water environment system. It was necessary to improve the water quality. The data were collected from 2010 January to 2012 December including Water Temperature, pH, DO, EC, $BOD_5$, COD, TOC, SS, T-N, T-P. The data were used to study were required to; Correlation Analysis; Principle Component Analysis; Factor Analysis. The results were as followed. According to correlation analysis on $BOD_5$ against COD, TOC it revealed that the each value of correlation coefficient were 0.715 and 0.719; this means the strength of the relationship is strong. The same analysis on T-P against $BOD_5$, COD, TOC, SS has revealed that the range of the correlation coefficient value fell between 0.482 and 0.608 which means strength of the relationship between them remained normal. Through correlation analysis, it has been found that all elements except T-N have high correlation. The results of principal component analysis to target the overall water quality was extracted to three main components. The cumulative contribution rate is 68.990%. In the case of seasonal water quality, Spring and Summer are extracted to each of four main components. The cumulative contribution rate is 81.515% and 73.550% respectively. Fall and Winter are extracted to each of three main components. The cumulative contribution rate is 65.072% and 72.721% respectively. There is no seasonality in the case of factor analysis. The first common factor is $BOD_5$, COD, TOC, SS, T-P, which were classified. Totally speaking, Sumjin River Basin water system gets highly affected by the nutrient salts, organic matter and suspended solid at the same time.

• 한국지구과학회지
• /
• 제25권6호
• /
• pp.428-442
• /
• 2004

본 연구는 낙동강 하류역 강하먼지의 조성 특성을 파악하기 위하여, 광구병형 Dust jar를 사용하여 2002년 6월부터 2003년 5월까지 1년간 낙동강 하류역의 5개 지점에서 시료를 채취하였다. 채취된 강하먼지에 함유된 불용성 성분(Al, Ca, Cd, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, Pb, Si, V, Zn) 및 수용성 성분($Cl^-$, $NO_3^-$, $SO_4^{2-}$, $NH_4^+$, $Ca^{2+}$, $K^+$, $MG^{2+}$)들은 ICP/AES, AAS, IC 및 UV를 이용하여 정량하었다. 성분에 대한 지각농축계수를 지역별로 비교한 결과 인위적인 오염원인 Cd, Cu, Pb, Zn에서 10 이상의 높은 값을 보였다. 특히 Pb는 감전동, 원동, 신라대, 삼랑진 및 물금 지점 순으로 감소하는 것으로 조사되었다. 계절별 토양입자의 기여율은 겨울철에 16.3 %로서 가장 높았으며, 1년간 평균 기여율은 11.2%이었다. 계절별[$SO_4^{2-}/NO_3^-$] 당량비는 겨울철(5.12)이 가장 높았고, 가을철(3.30)이 가장 낮게 나타났다. 지역별로는 신라대, 감전동, 물금, 원동 및 삼랑진 순으로, 특히 도심에 인접한 지점의 경우가 높게 나타났으며, 평균 당량비는 4.28이었다. 총 강하먼지에 대한 수용성 이온성분의 총 침적량의 비율은 봄철(71.6%), 여름(61.2%), 가을(49.2%) 및 겨울철(48.6%)의 순으로 나타났으며, 평균은 57.6%이었다. 해염입자의 지역별 기여율 분포는 신라대(34.5%), 감전동(28.3%), 원동(17.3%), 삼랑진(17.2%) 및 물금(13.8%)의 순으로 나타났으며, 평균 기여율은 22.1%로 나타났다.

• 환경위생공학
• /
• 제20권3호
• /
• pp.17-26
• /
• 2005

Many researches were focused on the data which obtained from chemical bulk analysis. It is difficult to evaluate source contribution by wet type chemical bulk analysis. In this study, we have reviewed the characterization of individual particle for source identification. We analyzed by SEM/EDX methods. We have obtained average geometric particle diameter measured by optical diameter which were resulted from SEM/EDX image scan, representative physical diameter of individual particle was $3.38\;{\mu}m\;in\;A,\;3.67\;{\mu}m\;in\;B$. In the result of image analysis at each spots particles, both samples non-sphere shapes, C-rich particles. In consequence of chemical analysis of individual particle, each sampling sites some elements.

• 한국대기환경학회지
• /
• 제6권2호
• /
• pp.155-160
• /
• 1990

During the period from Mar. 1985 to Feb. 1988, airborne particulate matters were collected and size fractionated by the ANdersen high volume air sampler in Seoul. The concentrations of several heavy metals (Pb, Cu, Zn, Fe, Mn) and benzo(a)pyrene were determined to investigate the size distributions and seasonal variations. And with respect to seven components in the total suspended particulate (TSP), the factor analysis was performed for three groups such as the coarse particles (> 2 $\mu$m), fine particles (< $\mu$m) and TSP. As a result of factor analysis by using the varimax method, the chemical components in the TSP were able to characterize with two principal factors. The first factor, F1 was considered to be a factor indicating the contribution of natural sources and the second factor, F2 was a factor indicating the degree of artificial sources. Each components in the TSP was divided into two main groups of components originated from soil and/or road dust and pollutants originated from automobiles and/or human work.

• 한국환경보건학회지
• /
• 제37권1호
• /
• pp.29-43
• /
• 2011

The seasonal characteristics of atmospheric particulate matter (PM) were evaluated through the measurement of $PM_{10}$ (particles with an aerodynamic diameter of less than 10 ${\mu}m$) and $PM_{2.5}$ (particles with an aerodynamic diameter of less than 2.5 ${\mu}m$) collected in the downtown area of Iksan city over roughly two weeks in each season of 2004. During the sampling period, 54 samples of $PM_{10}$ and $PM_{2.5}$ were collected and then measured for mass concentrations of PM and its water-soluble inorganic ion species. The concentrations of $PM_{10}$ and $PM_{2.5}$ were highly variable on a daily time scale in all seasons, especially in fall. Annual concentrations of $PM_{10}$ and $PM_{2.5}$ were $54.7{\pm}21.6\;{\mu}g/m^3$ and $34.0{\pm}13.4\;{\mu}g/m^3$, respectively. The daily concentrations of the analyzed ions similarly showed a pronounced variation, although a difference between seasons existed. Among them, $SO_4^{2-}$, $NO_3^-$ and $NH_4^+$ were the most abundant ions in all seasons, contributing up to 32% of $PM_{10}$ and 39% of $PM_{2.5}$. The contribution of $SO_4^{2-}$ and $NO_3^-$ showed a seasonal variation, as $SO_4^{2-}$ was the highest during spring and summer and $NO_3^-$ was the highest during fall and winter. Non-seasalt $SO_4^{2-}$ and $NO_3^-$ were found to exist mainly as neutralized chemical components of $(NH_4)_2SO_4$ and $NH_4NO_3$ due to the high concentration of $NH_4^+$ in PM samples, which were a major form of airborne PM in all seasons. Seasonal characteristics of $PM_{10}$ and $PM_{2.5}$ in Iksan were described in relation to the temporal variations of daily concentration of PM and its inorganic ion species including inter-particle reactions.

• 생태와환경
• /
• 제34권4호통권96호
• /
• pp.277-284
• /
• 2001

여러 지역의 호소환경에서 picoplankton이 중요한 일차 생산자로 보고되고 있는데 대청호에서 이를 조사하기 위하여 1998년 9월부터 1999년 9월까지 식물플랑크톤 크기에 따른 엽록소 농도의 계절적 변화를 조사하였다. $200\;{\mu}m$이하의 식물플랑크톤은 대전취수탑에서 $0.7{\sim}36.9\;{\mu}g/l$, 만입부에서 $0.5{\sim}23.5\;{\mu}g/l$회남대교에서 $1.9{\sim}20.1\;{\mu}g/l$ 대청댐에서 $0.5{\sim}17.4\;{\mu}g/l$이었는데, 조사지점 4곳에서 모두 9월에 최대치를 나타내었으며 그 이후는 서서히 감소되어 $4{\sim}6$월에 최소값을 보이는 경향을 나타내었다. 계절에 따른 엽록소 농도의 크기별 조성비율을 보면, 연중 microplankton과 nanoplankton 조성비율은 큰 변이를 보였는데, 회남 대교를 제외한 조사지역 3곳에서 $6{\sim}10$월에는 microplankton의 비율이 높았으나 3월에는 조성비율이 매우 낮은 경향을 보였다. 그러나 조사지역 4곳 모두에서 picoplankton은 연중 $2.0{\sim}24.3%$로 거의 일정하였다.