珠江河口二维咸潮数值预报系统研究

发布时间：2018-06-19 21:47

本文选题：咸潮预报 + 盐度初始场　；参考：《应用基础与工程科学学报》2016年04期

【摘要】：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.
[Abstract]:Based on the high precision diffusion anisotropic numerical algorithm, a two-dimensional salt tide prediction model covering the whole Pearl River Estuary and the outside of the mouth is established. The model is based on the spatial interpolation of the measured data of the hydrological stations (the Pearl River estuary river area) and the Modis image for remote sensing inversion (out of the mouth area) to determine the salinity initial field, and the model is guaranteed. In order to calculate the efficiency and the reliability of the results, a grid mapping method for processing different data sources is proposed to solve the problem that the remote sensing image data is not consistent with the model calculation grid data format, and the quantitative inversion results of salinity remote sensing are assigned to the corresponding model calculation grid. On the basis of this, the model components are carried out by using the GIS technology. A two-dimensional numerical prediction system for salt tide in the Pearl River estuary is established and applied to the prediction of salt tide in the Pearl River Estuary.
【作者单位】：珠江水利委员会珠江水利科学研究院;水利部珠江河口动力学及伴生过程调控重点实验室;河海大学水文水资源与水利工程科学国家重点实验室;
【基金】：国家自然科学基金项目(51309263) 水利部公益性行业科研专项(201501010) 广州市珠江科技新星专项(2014J2200067)
【分类号】：P731.34

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