Young-Ho Han

Monitoring of air pollution by polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans of pine needles in Korea.

The atmospheric contamination levels of polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) were evaluated from the analysis of pine needles in South Korea. Pine needles were collected from 30 sampling points at five main cities in South Korea (Busan, Daegu, Gwangju, Changwon and Jeju island). The highest concentrations of PCDDs/DFs (2.19-26.88 pg I-TEQ/g of dry weight) were measured at Busan. where is the city of the highest population density and traffic volume among five cities. The lowest concentration was detected at Jeju with 0.62 pg I-TEQ/g dry weight. suggesting Jeju could be an environmental background area in Korea. The dominant homologues of PCDDs/DFs in pine needles were the lower chlorine-substituted compounds such as tetra CDDs and CDFs, and the distribution ratios of PCDDs/DFs decreased with increase of the number of chlorine substituents. Homologue profiles of pine needle samples were similar to PCDDs/DFs profiles of the vapor phase in the ambient air, and thus the pine needles absorbed the vapor phase of PCDDs/DFs from air. Results suggested that pine needles could be used as an indicator of the atmospheric contamination for PCDDs/DFs in Korea.

Estimation of marine meteorological parameters from the satellite data

The simple estimation methods of air temperature and specific humidity at the sea surface are investigated using buoy and satellite data. Air temperature and specific humidity obtained by the regression equations are validated through the comparison with sea truth data. And also in order to certify this method, sensible and latent heat fluxes are compared with those of other methods. Bias of air temperature with MCSST is 0.28 degC with 1.5 degC rmse and 0.98 correlation coefficient. Specific humidity estimated indirectly using buoys data shows also fairly good result in terms of -1.42 g kg/sup -1/ bias and 1.75 g kg/sup -1/ rmse, correlation coefficient 0.97. The statistical results for sensible and latent heat fluxes calculated using the marine meteorological elements which are derived by the present method are comparable with those of previous studies.