해안 위험 평가를 위한 공간 데이터베이스 구축

Abstract

Driving ship in Port is difficult due to port’s own characteristics such as geomorphology, structures, weather and so on. Because of various factors, it is complex to assess maritime traffic safety in the port. In addition, some new structures are built in the port and it may be sometimes a risk factor in coastal area. Before construction work, its safety should be validated. Other risk factor in coastal area is a pollution accident. Coastal environment is very dynamic and influenced by various elements. There are many marine models to calculate the features of marine environment but most their results are represented by static graphs or simple static images. In order to protect the environment from the pollutant spill, spatial spill should be preceded in response of the pollution accident. Simulation experiment is a good method to ensure safety and assess risk. Simulation database consist various geographic datasets and requires data integration. And the database should represent the real coastal area and have scientific accuracy. There is no standardized coastal data infrastructure. There are many kinds of geographic datasets to implement the coastal area. These are made in different organizations with different purposes. So, there are diverse formats, scales, making time and method. In order to integrate these datasets for the simulation, these datasets are converted, combined or extracted with some methods. And new datasets are sometimes created from them. Obtaining data sources and processing scheme are necessary to build spatial database efficiently. In this study, nautical charts, digital maps, satellite images and etc. are used to build spatial database. Information for assessing risk in coastal area is extracted from them and sometimes combined with other marine models or marine virtual reality. It has combined some models and applied to simulation program for assessing risk. This database is validated through a lot of simulation experiments. This s