만리포 해변의 유분분포의 시공간 변동 패턴

Abstract

In December 2007, Hebei Spirit oil spill incident occurred on the western sea of South Korea, which contaminated most of adjacent beaches. Therefore, this study aimed to analyze the spatio-temporal variation pattern of total petroleum hydrocarbon (TPH), oil concentration for Mallipo beach that is one of the areas having oil contamination damages. For the study, spatial statistical analysis of TPH was used including TPH weighted mean center (WMC) and weighted standard distance (WSD), along with the mapping of TPH spatial distributions for 5 years since 2008. According to the result of TPH spatial analysis, moving direction of WMC according to the time variation showed seasonal difference between winter and summer. In addition, WSD showed clustered pattern in winter, followed by dispersed pattern in 2012. In summer, on the other hand, it showed dispersed pattern until 2010, followed by cluster pattern since 2011. Accordingly, spatial variation pattern of TPH were different in winter and summer. Therefore, to quantitatively assess and predict the progression of beach oil contamination, it is necessary to apply a spatial statistical analysis by dividing period into winter and summer seasons.carbon (TPH), oil concentration for Mallipo beach that is one of the areas having oil contamination damages. For the study, spatial statistical analysis of TPH was used including TPH weighted mean center (WMC) and weighted standard distance (WSD), along with the mapping of TPH spatial distributions for 5 years since 2008. According to the result of TPH spatial analysis, moving direction of WMC according to the time variation showed seasonal difference between winter and summer. In addition, WSD showed clustered pattern in winter, followed by dispersed pattern in 2012. In summer, on the other hand, it showed dispersed pattern until 2010, followed by cluster pattern since 2011. Accordingly, spatial variation pattern of TPH were different in winter and summer. Therefore, to quantitatively assess and predict the progression of beach oil contamination, it is necessary to apply a spatial statistical analysis by dividing period into winter and summer seasons.