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基于高精度扩散各向异性数值算法,建立了覆盖整个珠江河口网河区及口外海域的二维咸潮数值预报模型.模型基于水文站点实测数据空间插值(珠江河口网河区)及Modis影像进行遥感反演(口外海域)确定盐度初始场,保证了模型的计算效率及结果的可靠性.针对遥感影像数据与模型计算网格数据格式不一致的问题,提出了处理不同数据源的网格映射方法,将盐度遥感定量反演结果赋值给相应模型计算网格.在此基础上利用地理信息系统(GIS)技术,对模型组件进行集成,建立了珠江河口二维咸潮数值预报系统,并应用于珠江河口咸潮预报,取得了较好的效果.
Based on the numerical method of anisotropy of high-precision diffusion, a two-dimensional saltwater numerical prediction model is established to cover the entire Pearl River estuary, the network area and the offshore area. The model is based on the measured data of the hydrological station spatial interpolation (Pearl River estuary net area) and Modis image The initial salinity field is determined by remote sensing inversion (outside the mouth) to ensure the computational efficiency of the model and the reliability of the results.For the problem of inconsistent grid data formats between remote sensing image data and models, a grid mapping approach to deal with different data sources Method, the results of remote sensing quantitative salinization assigned to the corresponding model calculation grid.On this basis, the use of geographic information system (GIS) technology, integration of model components, the establishment of the Pearl River Estuary two-dimensional saltwater numerical prediction system and Applied to the Pearl River estuary salty tide forecast, and achieved good results.