논문 상세보기
pp.223-236
1999년 9월부터 2000년 7월까지 서울시 한남동과 경기도 과천시 두 지역을 중심으로 대기 중 수은의 농도를 시간대별로 관측하였다. 두 지역의 여러 가지 여건 차이에도 불구하고, 양 지역의 농도는 각각 5.34(N=2576), 5.25ngm-3(N=1992)를 기록하였다. 본 자료를 이용하여 양 지역의 농도 분포 특성을 비교하였다. 24시간 주기로 볼 때, 한남동 지역은 야간대에 그리고 과천 지역은 주간대에 높은 강도를 띠는 것으로 나타났다. 계절적으로는 한남동 지역에서 겨울 그리고 과천 지역에서는 여름에 최고농도를 기록하였다. 양 지역에서 수은의 농도를 조절하는 요인을 여러 가지 통계적 기법으로 고찰하였다. 본연구의 결과에 의하면, 연구 지역의 대기중의 수은 분포는 지역적 발생원의 차이에 의해 크게 영향을 받는 것으로 나타났다.
The concentration of gaseous mercury (Hg) was measured at hourly intervals along with relevant environmental parameters from two monitoring stations (Hannam and Kwachun) in Seoul metropolitan city during September 1999 to July 2000. Irrespective of the environmental and areal differences in the two locations, the concentrations of observed Hg levels were remarkably compatible each other. The results showed that the mean Hg level in Hannam was measured to be 5.34±3.92 ngm-3 (N = 2576), while that of Kwachun was 5.25±2.53 ngm-3 (N = 1992). Using these measurement data, we inspected Hg distribution and behavior at various time scale. When the data were analyzed at 24 hr scale, the distribution patterns for the two areas were distinguished by enrichment in either night(Hannam) or day (Kwachun). The patterns for seasonal distributions were also opposing each other such as the occurrences of peak during winter (Hannam) or summer (Kwachun). In order to analyze the factors affecting Hg distributions between two sites over different time scale, we conducted both correlation and factor analysis on both all data sets and on seasonally divided data groups. Whereas Hg exhibits strong correlations with such parameters as PM (particulate matter), SO2, and NO2, its relationship with meteorological parameters was not significant enough in many cases. The results of factor analysis also indicated that the Hg levels are tightly associated with most pollutants, explaining the largest portions of statistical variance. According to our study, we conclude that patterns of Hg distributions can exhibit variable patterns depending on local source processes which we expect to be diverse among different areas.
