基于GOCI和數(shù)值模擬的東海近岸懸浮泥沙濃度逐時(shí)變化研究
[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.
【學(xué)位授予單位】:中國(guó)科學(xué)院研究生院(上海技術(shù)物理研究所)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2016
【分類號(hào)】:P715.7;P731.2
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