공간분석을 활용한 해상교통관점의 해상풍력발전 최적지 영향요인 분석

A Study on the Factors Affecting Optimal Site of Offshore Wind Farm from the Perspective of Maritime Traffic using Spatial Analysis

At present, interest and technology development in offshore wind generation is rapidly progressing worldwide. Offshore wind farm to be set up on the ocean should be selected in a comprehensive perspective, including wind conditions, economic efficiency, environmental issues and maritime traffic. In this study, spatial analysis was performed based on AIS(Automatic Identification System) data collected in donghae gas plant to select the optimal site for maritime traffic safety in consideration of the intentional relationship between maritime traffic and ship accident. In order to perform the spatial analysis, the safety distance of ships near the plant was analyzed, also ship density and traffic patterns were analyzed through KDE(Kernel Density Estimation) analysis in the study area. To quantify this, ship density and mean speed density are totaled on a grid cell base. A spatial autocorrelation showing correlation between a grid cell including a ship accident and an adjacent grid cell is analyzed by Moran s I. As a result, the global spatial autocorrelation between the ship density and the mean speed density has shown clustered. In addition, local spatial autocorrelation values of grid cells in which ship accidents occurred are analyzed to have occurred frequently in areas where  values of ship density is 26.47 and mean speed density is 4.89, while    values of ship density is 34.46 and mean speed density is 17.06.