基于GOCI和数值模拟的东海近岸悬浮泥沙浓度逐时变化研究

发布时间：2019-02-20 18:25

【摘要】：近岸水体悬浮泥沙浓度的时空动态变化不仅具有重要的科学研究价值,而且能为经济建设提供必要的决策辅助。论文对近岸水体悬浮泥沙输运研究,特别是结合卫星海洋遥感和海洋数值模拟技术做了深入的调研。依托国家海洋局第二海洋研究所卫星海洋环境动力学国家重点实验室雄厚的技术和数据基础,对东海近岸水体悬浮泥沙浓度逐时的时空动态变化特征进行了遥感反演和数值模拟研究,利用数值模拟替补了卫星海洋水色遥感产品缺失数据。利用高时间分辨率的海洋水色遥感传感器GOCI,反演得到了东海近岸水体,特别是杭州湾内逐时的悬浮泥沙数据。将GOCI悬浮泥沙数据作为海洋模型COHERENS中泥沙输运模块的初始场,提高了悬浮泥沙初始场空间分辨率,并利用GOCI悬浮泥沙反演数据验证了数值模拟结果。利用耦合水色遥感数据的悬浮泥沙数值模型再现和分析了东海近岸水体,特别是杭州湾内悬浮泥沙的逐时变化特征,结果显示潮流是影响悬浮泥沙浓度变化的主要原因,为实时监测和预测预报悬浮泥沙动态变化提供了参考。针对由于云层覆盖影响等条件下造成东海近岸水体悬浮泥沙浓度遥感数据缺失的问题,利用悬浮泥沙输运模型建立了有云区域和无云区域悬浮泥沙数据的海洋动力关系,将数值模拟结果提取并替补到缺失的遥感反演数据中。然后对替补的悬浮泥沙遥感反演数据进行了质量评价,结果显示替补效果较好。利用悬浮泥沙输运数值模型替补海洋遥感反演缺失数据,该方法的海洋动力学物理基础明确,方法简单易行并且稳定可靠。为提高海洋水色遥感数据利用率和长时间序列遥感反演数据分析提供了参考。论文的主要创新点如下:·利用卫星海洋遥感技术可以获取大面积准同步观测数据的特点,将GOCI悬浮泥沙反演数据作为海洋数值模型COHERENS的初始场,提高了初始场的空间分辨率;利用卫星遥感数据检验了悬浮泥沙输运数值模拟结果,验证了悬浮泥沙输运模型的适用性。·耦合卫星海洋遥感和悬浮泥沙输运模型对东海近岸水体,特别是杭州湾内悬浮泥沙浓度逐时变化特征进行了监测和动力分析,为实时监测悬浮泥沙浓度动态变化特征提供了参考。·利用悬浮泥沙输运模型对卫星遥感反演缺失数据进行了替补,为解决受云层覆盖影响等条件下造成遥感数据缺失提供了方法参考。
[Abstract]:The temporal and spatial dynamic changes of suspended sediment concentration in coastal waters not only have important scientific research value, but also provide necessary decision support for economic construction. In this paper, the transport of suspended sediment in inshore water is studied, especially in combination with satellite ocean remote sensing and ocean numerical simulation. Relying on the solid technical and data base of the State key Laboratory of Satellite Marine Environmental Dynamics of the second Ocean Research Institute of the State Oceanic Administration, The temporal and spatial dynamic characteristics of suspended sediment concentration in the coastal waters of the East China Sea are studied by remote sensing inversion and numerical simulation. The missing data of satellite ocean color remote sensing products are replaced by numerical simulation. The temporal suspended sediment data in the coastal waters of the East China Sea, especially in the Hangzhou Bay, were obtained by using the high temporal resolution ocean color remote sensing sensor (GOCI,). Using GOCI suspended sediment data as the initial field of sediment transport module in ocean model COHERENS, the spatial resolution of suspended sediment initial field is improved, and the numerical simulation results are verified by GOCI suspended sediment inversion data. The temporal variation characteristics of suspended sediment in the coastal waters of the East China Sea, especially in the Hangzhou Bay, are reappeared and analyzed by using the numerical model of suspended sediment with coupled water color remote sensing data. The results show that the tidal current is the main reason for the change of suspended sediment concentration. It provides a reference for real time monitoring and prediction of suspended sediment dynamic change. Aiming at the lack of remote sensing data of suspended sediment concentration in the coastal waters of the East China Sea due to the influence of cloud cover, the marine dynamic relationship of suspended sediment data in cloud region and cloud free area is established by using suspended sediment transport model. The numerical simulation results are extracted and replaced in the missing remote sensing inversion data. Then, the quality of the suspended sediment inversion data is evaluated, and the results show that the replacement effect is better. Using the suspended sediment transport numerical model to replace the missing data from ocean remote sensing, the physical basis of marine dynamics is clear, the method is simple and reliable. It provides a reference for improving the utilization rate of ocean water color remote sensing data and the analysis of long time series remote sensing inversion data. The main innovations of this paper are as follows: using satellite ocean remote sensing technology to obtain large area quasi-synchronous observation data, the GOCI suspended sediment inversion data is taken as the initial field of the ocean numerical model COHERENS, and the spatial resolution of the initial field is improved. The numerical simulation results of suspended sediment transport are verified by using satellite remote sensing data, and the applicability of the suspended sediment transport model is verified. The coupled satellite ocean remote sensing and suspended sediment transport model are applied to the coastal waters of the East China Sea. In particular, the time-varying characteristics of suspended sediment concentration in Hangzhou Bay are monitored and dynamic analysis is carried out. It provides a reference for the real-time monitoring of the dynamic variation of suspended sediment concentration. The missing data from satellite remote sensing are replaced by the suspended sediment transport model. It provides a method reference for solving the problem of missing remote sensing data under the influence of cloud cover.
【学位授予单位】：中国科学院研究生院(上海技术物理研究所)
【学位级别】：博士
【学位授予年份】：2016
【分类号】：P715.7;P731.2

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