荣成市石岛湾镆鎁岛港的潮汐

１９９２年６～７月，中国科学院海洋研究所在镆岛港建立临时验潮站。计 算得到该港调和常数及潮位特征值。分析表明，镆　岛港属于非正规半日潮港。根 据镆岛港和同期及３年石岛港测得资料（二港符合潮汐相似性条件）进行相关分 析和统计计算，获得镆　岛港的设计水位和校核水位等。     

青岛海湾大桥对胶州湾潮汐、潮流及余环流的影响预测——Ⅰ.胶州湾及邻近海域的潮流

根据崂山头、朝连岛、灵山岛一个月的潮位资料,采用三角形网格的分步杂交方法,建立了胶州湾及邻近海域的二维变边界潮流数值模型。并模拟了大、中、小潮三种潮汛条件下的潮流场,水位场及余流场。得出了胶州湾高潮水域面积、潮间带面积,湾口累积流通量等有关参数。     

中国沿海GPS站用于潮波系数提取分析

首先给出了基于GNSS-MR技术提取潮波系数的原理与方法,然后利用布设在浙江省石浦港验潮室屋顶的GPS站DSPU实测数据对潮波系数进行了提取,并与验潮站实测潮位调和分析结果进行了对比分析。实验结果表明GPS-MR反演潮位与验潮站实测潮位值吻合较好,相关系数优于0.97;GPS-MR反演潮位与验潮站实测潮位获取的潮波系数基本一致,除M2、S2外其它差异较小。两者获取的潮波系数差异主要因为DSPU测站观测环境极大地影响了GPS-MR提取潮位精度。沿海GNSS站用于潮位监测和潮波系数提取,将进一步拓展沿海GNSS监测站的应用领域,在一定程度上可弥补验潮站的不足。     

杭州湾潮汐特征时空变化及原因分析

杭州湾是世界著名的强潮河口湾,一直是研究的热点。基于杭州湾口内外实测潮汐资料,对杭州湾潮汐特征及时空变化进行了系统分析,包括高潮位、低潮位、平均潮位、潮差、涨潮历时以及天文潮变化,同时分析了20世纪80年代以来潮汐特征变化的原因。结果表明:最近50年来,杭州湾年平均高潮位和海平面抬高,潮差增大;澉浦年平均低潮位抬高,涨潮历时缩短,浅海分潮增大;钱塘江河口治江缩窄是造成杭州湾潮汐变化的主要因素;浙江和邻近海域的涉海工程可能是造成浙江沿海海平面上升的主要原因之一。     

潮汐调和分析与应用研究

基于长江口外鸡骨礁、绿华山潮位站多年实测潮汐资料,开展潮汐调和分析与应用研究。采用最小二乘法计算调和常数,研究不同分潮组合及不同资料长度对调和分析结果的影响。采用规范法及直接预报法计算深度基准面,并分析计算结果。采用余水位订正方法推算潮位,并进行精度验证。结果表明:调和分析精度随分潮个数的增加而提高;采用年实测潮汐资料调和分析的精度总体高于采用多年实测潮汐资料调和分析的精度;采用预报年份相邻的年实测潮汐资料进行潮汐预报精度较高;理论最低潮面计算值,规范法较直接预报法偏小。基于绿华山站与鸡骨礁站实测资料进行余水位推算验证,精度基本满足实用要求。     

海平面上升对海岸潮差响应的理论解析

应用海湾和半封闭矩形海域改进的Taylor问题的解研究海平面上升对M2分潮旋转潮波系统及沿岸潮差的变化.将南黄海概化为一等深矩形海域,初步研究在海平面上升3 m和5 m条件下该海域旋转潮波系统的演化趋势,继而分析沿岸潮差变化特征.初步分析研究表明:随着海平面上升,该海域M2分潮的无潮点有向东南方向偏移的趋势,受此影响,沿岸潮差呈现不同的变化特征,靠近无潮点的左侧及湾顶海岸变化明显,而远离无潮点的右侧及湾顶海岸则变化不大.     

Effect of Sea Level Variation on Calculation of Design Water Level

The long-term variation and seasonal variation of sea level have a notable effect on the calculation of engineering water level. Such an effect is first analyzed in this paper. The maximal amplitude of inter-annual anomaly of monthly mean sea level along the China coast is larger than 60 cm. Both the storm surge disaster and cold wave disaster are seasonal disasters in various regions, so the water level corresponding to the 1% of the cumulative frequency in the cumulative frequency curve of hourly water level data for different seasons in various sea areas is different from design water level, for example, the difference between them reaches maximum in June, July and August for northern sea area, and maximum in September, October and November for Southern China Sea. The hourly water level data of 19 gauge stations along the China coast are analyzed. Firstly, the annual mean sea level for every station is obtained; secondly, linear chan ging rates of annual mean sea level are obtained with the stochasti     

Absolute sea level variability of Arctic Ocean in 1993–2018 from satellite altimetry and tide gauge observations

Arctic absolute sea level variations were analyzed based on multi-mission satellite altimetry data and tide gauge observations for the period of 1993–2018. The range of linear absolute sea level trends were found ?2.00 mm/a to 6.88 mm/a excluding the central Arctic, positive trend rates were predominantly located in shallow water and coastal areas, and negative rates were located in high-latitude areas and Baffin Bay. Satellite-derived results show that the average secular absolute sea level trend was (2.53±0.42) mm/a in the Arctic region. Large differences were presented between satellite-derived and tide gauge results, which are mainly due to low satellite data coverage, uncertainties in tidal height processing and vertical land movement (VLM). The VLM rates at 11 global navigation satellite system stations around the Arctic Ocean were analyzed, among which 6 stations were tide gauge co-located, the results indicate that the absolute sea level trends after VLM corrected were of the same magnitude as satellite altimetry results. Accurately calculating VLM is the primary uncertainty in interpreting tide gauge measurements such that differences between tide gauge and satellite altimetry data are attributable generally to VLM.     

A method to calculate design tide levels on the basis of numerical model of tidal current and its application

In order to determine the design tide levels in the areas without measured tide level data, especially in the areas where it is difficult to measure tidal levels, a calculation method based on a numerical model of tidal current is proposed. The essentials of the method are described, and its application is illustrated with an example. The results of the application show that the design tide levels calculated by the method are close to those determined by long-time measured tide level data, and its calculation precision is high, so it is feasible to use the method to determine the design tide levels in the areas.