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作 者:黄辰虎 翟国君[2] HUANG Chenhu;ZHAI Guojun(College of Intelligence Science and Technology,National University of Defense Technology,Changsha 410073,China;Tianjin Institute of Hydrographic Surveying and Charting,Tianjin 300061,China)
机构地区:[1]国防科技大学智能科学学院,湖南长沙410073 [2]天津海洋测绘研究所,天津300061
出 处:《武汉大学学报(信息科学版)》2022年第10期1785-1795,共11页Geomatics and Information Science of Wuhan University
基 金:国家自然科学基金(41974005,41876103,41804011)。
摘 要:受海底地形、开边界驱动水位及底摩擦系数等边界条件的共同影响,当前中国沿岸和近海潮汐场模拟的精度仍显不足。利用精度和分辨率较海图高一级别的水深数据、包含长周期天文气象分潮Sa的由12个主分潮组成的开边界驱动水位及顾及水深空间变化的底摩擦系数等经优化的边界条件,运行二维潮汐数值模式2D-MIKE21,开展黄海海州湾潮汐场模拟。结果表明,天文潮模拟值与海州湾周边6个验潮站1年潮汐表相比,12个主分潮综合预报误差为5.52 cm;与中国海域现有潮汐模型CST1中24个随机点位相比,12个主分潮综合预报误差为7.10 cm。天文潮模拟值和CST1预报值二者与海州湾周边2个验潮站近1个月实测值相比,前者中误差要小于后者。这为在沿岸及近海开展面向海洋测绘应用的潮汐场模拟提供了新思路,同时也表明通过数值模拟的方式构建天文气象分潮Sa是可行的。Objectives: Due to the joint constraints of boundary conditions, including seabed topography,driven water level at open boundary(DWLOB) and bottom friction coefficient(BFC), the accuracy of the tidal numerical modeling in coastal and offshore waters is relatively low. Methods: This paper intends to synchronously optimize the multiple boundary conditions, including seabed topography, DWLOB, and BFC, to improve the accuracy of the tidal numerical modeling in China’s coastal and offshore waters for the hydrographic surveying and mapping. This paper simulates the tidal model of Haizhou Bay of the Yellow Sea in China, using a two-dimensional tide numerical model(2D-MIKE21) and based on the synchronously optimized boundary conditions. The water depth with higher resolution and accuracy than the charted depth is used as the seabed topography. The DWLOB is calculated from 12 tidal constituents of the regional tidal model of China seas(CST1). The calculation of the BFC takes into account the spatial variation of water depth.Results: For validation, we compare the simulated model with the 1-year tide tables from 6 tide gauges in Haizhou Bay and the CST1 model at 24 randomly selected points, and get the total root sum squares of the 12 tidal constituents of 5.52 cm and 7.10 cm, respectively. The simulated tide model and CST1 are also compared with the 1-month observations at two tide gauges in Haizhou Bay, and the former has a smaller mean square error than the latter.Conclusions: The proposed strategy provides a new method for tidal numerical modeling in coastal and offshore waters. This study also shows that it is feasible to obtain the astro-meteorological constituent Sa by tidal numerical modeling. It should be noted that, the wind effect is also not considered in this study due to its strong randomness and the difficulty in obtaining data for one year. We can use the simulated water level heights and the short-term wind velocity and direction as the better open boundary and initial conditions to carry out the short-t
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