본 연구에서는 방사성동위원소 추적자 실험을 통해서 산화아연 또는 두 종류의 은나노물질로 오염시킨 토양에서 지렁이 (Eisenia fetida)의 금속축적과 제거율을 비교하였고, 이들을 이온상의 Ag와 Zn으로 처리한 대조구와 비교하였다. 추가적으로 토양의 금속을 다단계추출법 (sequential extraction method)을 이용하여 금속의 결합 형태로부터 생물이용도 (bioavailability)를 예측하고 실제 생물축적 (BAF, bioaccumulation factor)과 비교하였다. ZnO 처리구의 BAF (0.06)는 아연이온 처리구 BAF (1.86)보다 31배 낮았는데, 이는 토양에서 ZnO의 생물전이가 매우 낮음을 제시해 준다. 한편, 은의 BAF는 금속의 오염 형태에에 무관 하게 0.11~0.17의 범위를 보였다. 다단계추출법을 통해서 아연이온 처리구의 아연은 토양에 비교적 약한 결합을 하 는 형태 (mobile fraction)에 35% 분포하여 아연이온처리구 값 (<20%)보다 높았고, 이는 전자의 더 높은 BAF와 일치 한다. 하지만, ZnO 처리구의 다단계추출은 생물이용도나 BAF를 잘 예측하지 못했으며 이는 ZnO가 토양에서 아연 이온과 지화학적으로 다른 거동을 하기 때문으로 추정된다. 지렁이 체내에 축적된 은의 제거율 (3.2~3.8% d-1)은 아연의 제거율 (1.2~1.7% d-1)보다 2~3배 더 높았다

Nitrogen (N) loading from domestic, agricultural and industrial sources can lead to excessive growth of macrophytes or phytoplankton in aquatic environment. Many studies have used nitrogen stable isotope ratios to identify anthropogenic nitrogen in aquatic systems as a useful method for studying nitrogen cycle. In this study to evaluate the precision and accuracy of Kjeldahl processes, two reference materials (IAEA-NO-3, N-1) were analyzed repeatedly. Measured the δ¹⁵N-NO₃and δ¹⁵N-NH₄values of IAEA-NO-3 and IAEA-N-1 were 4.7±0.2‰ and 0.4±0.3‰, respectively, which are within recommended values of analytical uncertainties. Also, we investigated spatial patterns of δ¹⁵N-NO₃and δ¹⁵N-NH₄in effluent plumes from a waste water treatment plant in Han River, Korea. δ¹⁵N-NO₃and δ¹⁵N-NH₄values are enriched at downstream areas of water treatment plant suggesting that dissolved nitrogen in effluent plumes should be one of the main N sources in those areas. The current study clarifies the reliability of Kjeldahl analytical method and the usefulness of stable isotopic techniques to trace the contamination source of dissolved nitrogen such as nitrate and ammonia.

마산만의 오염과정을 파악하기 위하여 3개 정점의 코어 퇴적물에서 중금속 함량과 저서성 유공충의 분포를 조사하였다. 마산만의 퇴적속도는 마산항 0.33 cm/yr, 덕동 하수종말 처리장 앞 0.20 cm/yr, 마산만 입구 0.33 cm/yr로 나타났다. 퇴적물 깊이 약 15 cm부터 표층까지 Cu, Zn, Pb 함량이 뚜렷하게 증가하는 것은 1940년대 이후 점진적으로 축적되던 오염물질이 1960년대 이후 산업폐기물에 의해 급격하게 증가했기 때문인 것으로 해석된다. 코어 퇴적물에서 나타나는 저서성 유공충의 수직적인 분포는 오염에 따른 유공충의 반응을 잘 나타내고 있다. 퇴적물 상부로 중금속 함량이 증가함에 따라 개체수와 종 다양성은 감소하고 사질유공충의 비율은 증가하였다. 이러한 현상은 오염이 증가함에 따라 몇몇 내성종들 만이 존재함으로써 결과적으로 종 다양성이 감소하였음을 반영한다. 기회종인 Eggerella advena와 Trochammina pacifica는 오염퇴적물에서 뚜렷한 증가를 보였다. 이러한 종들은 마산만의 현생 오염 환경을 평가할 수 있는 유용한 환경 지시자로 사용될 수 있을 것이다.

From November 2013 to December 2016, ambient fine particulate matter (PM2.5) was sampled in the downtown area of Jeju City, South Korea, which has seen rapid urbanization. The atmospheric concentrations of elements were measured in the PM2.5 samples. This study focused on Cd, Cr, Cu, Mn, Ni, Pb, As, Sb, Sn, V, and Zn. The concentrations of Al, Na, K, Fe, Ca, Mg, Sr, and La were also obtained for reference. The objectives of this study were to examine the contributions of these elements to PM2.5 concentrations in downtown Jeju City, and to investigate the inter-element relationships and the elemental sources by using enrichment factors and principal components analysis (PCA). A composition analysis showed that the 19 elements constituted 6.65 % of the PM2.5 mass, and Na, K, Al, Fe, Ca, Mg, and Zn constituted 98 % of the total ion mass. Seasonal trend analysis for the sampling period indicated that the concentrations of the elements increased from November to April. However, no substantial seasonal variations were found in the concentrations of the elements. The composition ratios of some elements (Cu/Zn, Cu/Cd, Cu/Pb, V/Ni, and V/La) were found to be out of range when compared to the literature from other urban areas. The ratios between the elements and the PCA results showed that local contaminant sources in Jeju City rarely influence the composition of PM2.5. This suggests that the major sources of PM2.5 in Jeju City may include long-range transport of fine particulate matter produced in other areas.

Heavy metal concentrations in the soil were investigated for the abandoned Samkwang metal mine, Cheongyang-Gun, Chungnam Province, Korea. The concentrations of heavy metal(As, Cd, Cu, Ni, Pb, Zn) were determined in mine soils collected at the abandoned mine sites to obtain a general classification and specification of the pollution in this highly polluted region. The results estimated with the normal test and basis statistic on the central tendency and variation showed that the distribution of heavy metal concentration had significantly different at the range of all locations. The range of spatial distribution on the relationship of heavy metal concentration and pH was 4.8∼8.8 and heavy metal concentration on the type of land use was highest in forest land, and also Ni and Zn in farm and rice field showed the high concentration. The distribution of heavy metal concentration on the depth of a soil showed that the metal concentrations in subsoil were higher than of those in surface soil, while the concentration of Cu and Ni had no significant difference on the depth of soil. Results from the correlation analysis using the data except the extreme and unusual data revel that Zn-Cd(r=0.867), Zn-As(r=0.797), Zn-Pb (r=0.764), Cu-Cd(r=0.673), Cu-As(r=0.614) and Zn-Ni(r=0.605) were the most important parameters in assessing variations of heavy metal in soil. To discriminate pattern differences and similarities among samples, principal factor analysis(PFA) and cluster analysis(CF) were performed using a correlation matrix. This study suggests that PFA and CF techniques are useful tools for identification of important heavy metal and parameters. This study presents the necessity and usefulness of multivariate statistical assessment of complex databases in order to get better information about the quality of soil and gives the basis information to clean up the abandoned mine sites.