GOCI 원격탐사 자료를 바탕으로한 황해에서의 부유사 이동 예측모델

Abstract

Coastal seas are characterized with large space and time variation of various properties. Understanding the space and time variation of the coastal environmental conditions and hence the capacity of the prediction of the coastal processes can improve coastal services which would lead to substantial benefit for coastal communities. There is a growing need to predict the environmental state of the coastal seas in addition to the physical properties. The main barrier in establishing the operational prediction system for coastal environment is the limitation of observation data to the operational forecasts. Yellow Sea is characterized with large tidal range, inflow of many rivers which make coastal environmental parameters vary rapidly with time and space. It is difficult to track rather rapid temporal variation of the coastal environment. To compensate such problems in monitoring the environmental condition, especially the suspended fine sediment concentration, development of new technologies using high time resolution satellite remote sensing using Geostationary satellite and 3D numerical model has been established and the pilot test will be introduced in this paper.ses can improve coastal services which would lead to substantial benefit for coastal communities. There is a growing need to predict the environmental state of the coastal seas in addition to the physical properties. The main barrier in establishing the operational prediction system for coastal environment is the limitation of observation data to the operational forecasts. Yellow Sea is characterized with large tidal range, inflow of many rivers which make coastal environmental parameters vary rapidly with time and space. It is difficult to track rather rapid temporal variation of the coastal environment. To compensate such problems in monitoring the environmental condition, especially the suspended fine sediment concentration, development of new technol