• Journal of Soil and Groundwater Environment
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• v.13 no.6
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• pp.31-39
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• 2008

The purpose of this research is to evaluate the efficiency of soil pollution investigation conducted at South Korea and Gyeonggi-do, and to drive the way to improve its efficiency. The average pollution discovery rates in the soil pollution investigation were 2,7% in South Korea and 1.9% in Gyeonggi-do respectively during the last six years (2002${\sim}$2007), which the discovery rates were lower than those of Japan and United States of America. The exceeding rate of the Korea soil pollution standard of the heavy metal and petroleum compounds in the soil pollution investigation were 89.8% and 8.9%, respectively in the whole country. The investigation rate of topsoil for heavy metal and deepsoil analysis for petroleum compounds analysis were 38% and 62% respectively. This show contradictory result which is demanded the improvement of investigation method on the deep soil. The main steps affecting the discovery rate of soil pollution were site selection step, sampling step and analysis step. We suggested the the guideline of priority on the site selection step which was the most important step. Also, the certificate need to be provided to the companies which have lower soil pollution degree after conducting the soil pollution investigation.

• Toxicological Research
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• v.26 no.1
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• pp.21-28
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• 2010

As the frequency and the intensity of so called Asian dust (AD) events have increased, public concerns about the adverse health effects has spiked sharply over the last two decades. Despite the recent reports on the correlation between AD events and the risk for cardiovascular and respiratory disease, the nature of the toxicity and the degree of the risk are yet largely unknown. In the present study, we investigated the effects of the dichloromethane extract of AD (AD-X) and that of urban dust (NAD-X) collected during a non-AD period on gene expression in HL-60 cells using Illumina Sentrix HumanRef-8 Expression BeadChips. Global changes in gene expression were analyzed after 24 h of incubation with 50 or 100 ${\mu}g$/ml AD-X and NAD-X. By one-way analysis of variance (p < 0.05) and Benjamini-Hochberg multiple testing correction for false discovery rate of the results, 573 and 297 genes were identified as AD-X- and NAD-X-responsive, respectively. The genes were classified into three groups by Venn diagram analysis of their expression profile, i.e., 290 AD-X-specific, 14 NAD-X-specific, and 283 overlapping genes. Quantitative realtime PCR confirmed the changes in the expression levels of the selected genes. The expression patterns of five genes, namely SORL1, RABEPK, DDIT4, AZU1, and NUDT1 differed significantly between the two groups. Following rigorous validation process, these genes may provide information in developing biomarker for AD exposure.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.3
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• pp.231-242
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• 2016

As of late, air quality information has been actively gathered and investigated in order to find possible environmental risk factors that may affect the onset of cardiovascular disease. Nevertheless, existing studies are limited in the detailed analysis because they take advantage of the air quality information of the macro statistics divided into administrative districts. This paper proposes the construction of distance-based air quality dataset using a domestic hospital’s geographical location information as a reliable data gathering step for a more detailed analysis of environmental risk factors. For the construction of the dataset, air quality information was obtained by utilizing the geographical location of a hospital—in which a patient with cardiovascular disease had been admitted—and then matching the hospital with a meteorological and air pollution station in its vicinity. An air quality acquisition system based on GMap.net was devised for the purpose of data gathering and visualization. The reliability of the experiment was confirmed by evaluating the matching rate and error of air quality values between the acquired dataset with existing area-based air quality datasets from matched distances. Therefore, this dataset, which considers geographical information, can be utilized in multidisciplinary research for the discovery of environmental risk factors that can affect not only cardiovascular diseases but also potentially other epidemic diseases.