2014, Vol.23, No.3

Journal of Environmental Impact Assessment 2023 KCI Impact Factor : 0.51

pISSN : 1225-7184
https://journal.kci.go.kr/kseia

The purpose of this study is to estimate the vibration reduction effect of the borehole which iscontrolled the vibration propagation in the ground. For this study, we measured the vibrationvelocity before and after the borehole installation. The results are as follows: The peak particlevelocity(PPV) and peak vector sum(PVS) was reduced by the borehole. And also, the deviation ofvibration velocity before and after the borehole installation showed large values in longitudinaland vertical component depending on the receive distance, and increased depending on the sizeof vibration energy. Finally, the vibration isolation efficiency was 25~35 percentage at 1.5m receivedistance, and was 4~14 percentage at 3.0m receive distance. It was found that the vibration isolationefficiency was good in small vibration energy, but was not good at long receive distance.

Depending on the change of lifestyle and the improvement of people’s living standards andrapid industrialization, urbanization of recent, demand for water is increasing rapidly. So emissionsof domestic wastewater and various industrial waste water has increased, and water quality isworsening day by day. Therefore, in order to provide a measure against the occurrence of waterpollution accident, this study was tried to simulate water pollution accident. This study simulated2008 Gimcheon phenol accident using 1,2-D model, and analyze scenario for prevent of waterpollution accident. Consequently the developed 1-D model presents high reappearance whencompared with 2-D model, and has been able to obtain results in a short simulation run time. Thisstudy will contribute to the water pollution incident response prediction system and water qualityanalysis in the future.

The objective of this study is to evaluate and analyze Osu stream watershed water environment system. The data were collected from January 2009 to December 2011 including water temperature, pH, DO, EC, BOD, COD, TOC, SS, T-N, T-P and discharge. The data were used for principle component analysis and factor analysis. The results are as followes. The primary factors obtained from both the principal component analysis and the factor analysis were BOD, COD, TOC, SS and T-P. Once principal component analysis and factor analysis have been performed with the collected data and then the results will be applied to both simple regression model and multiple regression model. The regression model was developed into case 1 using concentrations of water quality parameters and case 2 using delivery loads. The value of the coefficient of determination on case 1 fell between 0.629 and 0.866; this was lower than case 2 value which fell between 0.946 and 0.998. Therefore, case 2 model would be a reliable choice.The coefficient of determination between the estimated figure using data which was developed to the regression model in 2012 and the actual measurement value was over 0.6, overall. It can be safely deduced that the correlation value between the two findings was high. The same model can be applied to get TOC concentrations in future.