浙江沿岸海平面研究和变化预测

用统计学的方法对浙江沿岸海平面进行了研究, 采用多种海平面上升预测模式进行了计算和预测, 结果表明: 浙江沿岸的海平面存在明显的季节变化, 其变化曲线浙北、浙中沿岸为单峰型, 而浙南沿岸为双峰型, 南北地域差异较大。浙江沿岸过去30 a 间海平面平均上升速率为(2.63±0.06) m m /a。研究还表明, 未来浙江沿岸海平面还将上升, 按模式计算, 至2050年上升29 cm , 到2100 年估计上升值为60 cm 。     

我国近代海平面变化与沿岸地壳升降的关系

本文从理论及实际资料两个方面入手,初步探讨了海平面与沿岸地壳这两个独立变量之间的相互关系。结果表明,只有对两者变化幅度值进行数学分析,才能确切地了解海岸升降的原因;我国东部沿岸新构造时期地壳的升降活动所反映的海平面升降变化总体上显示为北高南低特征,该特征与沿岸断块构造差异活动(北降南升)密切相关,而根据地壳形变测量、验潮站观测资料所得的海平面则相反(北低南高)。这一矛盾现象似可用长周期趋势变化与短周期瞬时变化的“非等效性”予以解释。文中还认为南海海域近代海面上升与沿岸地壳下降活动关系密切;以地壳年均升降速率为指标划分地壳垂直活动强度类型应是一种可行的方案;华南沿岸既有“相对稳定”岸段,也有“活动”及“强烈活动”岸段。     

台湾岛周边海域近16a来海平面变化研究

利用1992年10月至2008年6月的卫星高度计融合资料对台湾岛周边海域（20°～28°N,117°～124°E）多年海平面变化进行分析.研究结果表明：（1）采用改进的月平均水位周期信号的谱分析方法计算多年来台湾岛周边海域海平面年均上升速率为0.34±0.02 cm/a,与该海域内的潮位站结果较为一致.（2）台湾岛周边海域海平面高度变化以1 a周期变化为主,其次为0.5 a、准2 a周期变化.（3）通过计算海平面异常的标准差得出多年来台湾海峡西南部海域海平面波动最为激烈.（4）分析了台湾岛周边海域海平面4个季节的变化情况,指出台湾岛周边海域海平面季节变化的主要驱动力是风场.     

中国东海海平面长期变化与趋势研究

From the analyses of the satellite altimeter Maps of Sea Level Anomaly(MSLA) data, tidal gauge sea level data and historical sea level data, this paper investigates the long-term sea level variability in the East China Sea(ECS).Based on the correlation analysis, we calculate the correlation coefficient between tidal gauge and the closest MSLA grid point, then generate the map of correlation coefficient of the entire ECS. The results show that the satellite altimeter MSLA data is effective to observe coastal sea level variability. An important finding is that from map of correlation coefficient we can identify the Kuroshio. The existence of Kuroshio decreases the correlation between coastal and the Pacific sea level. Kurishio likes a barrier or a wall, which blocks the effect of the Pacific and the global change. Moreover, coastal sea level in the ECS is mainly associated with local systems rather than global change. In order to calculate the long-term sea level variability trend, the empirical mode decomposition(EMD) method is applied to derive the trend on each MSLA grid point in the entire ECS. According to the 2-D distribution of the trend and rising rate, the sea level on the right side of the axis of Kuroshio rise faster than in its left side. This result supports the barrier effect of Kuroshio in the ECS. For the entire ECS, the average sea level rose 45.0 mm between 1993 and 2010, with a rising rate of(2.5±0.4) mm/a which is slower than global average.The relatively slower sea level rising rate further proves that sea level rise in the ECS has less response to global change due to its own local system effect.     

海平面变化的速率

海平面变化速率可以从地质记录中识别 ,分为长期 ( <1 0 0 0ka)、冰后海侵期 ( 2 0～ 7ka)以及其后的对于现代海平面的调整期 ( >7ka)。另外 ,还有仪测的历史记录。1　 <10 0 0ka长期海平面变化的地质记录提供了一幅海平面自然波动的景象 ,表明海平面的变化是颤动的。深海沉积物的浮游有孔虫氧同位素( 1 8O/ 1 6O)比给出了冰期 /间冰期循环的大量海平面波动的证据 ,Vostok冰心提供了更为详尽的至少 4个循环的记录。这些周期大约为 1 0 0ka的循环已在东南澳大利亚地质记录和相关的氧同位素记录中识别出 ,这里的一系列滨岸沙坝的时代可追溯…     

海平面多年变化的研究方法

本文根据连云港、秦皇岛和葫芦岛1960～1990年的潮汐资料,分析了海平面变化的三个组成部分,指出海平面趋势变化分量的重要性,并提出海平面趋势变化的分析方法。     

海平面变化研究发展迅速

在过去的10年,人们测定海平面的能力取得长足进步。目前的技术水平和所预见的技术进程表明,在下一个10年,将能够在更大范围更精确地确定海平面的空间和时间变化。     

中国沿海近31年冬季海平面变化特征

利用29个海洋观测站的31年（1980－2010年）水文气象观测资料,分析了中国沿海近31年冬季海平面的时空分布特征与长期变化趋势。结果表明：①中国沿海冬季海平面近31年呈现明显的上升趋势,平均上升速率为3.1 mm/a,高于全年的上升速率,渤海、黄海、东海和南海沿海冬季海平面变化呈现明显的区域特征;②中国沿海冬季海平面存在显著的年际和年代际变化,其主要显著变化周期有准2 a,4～7 a,9 a左右及18.6 a。由于受西太平洋暖池和黑潮与我国近海之间的水体交换影响,东中国海4～7 a的周期明显,其振幅最高,并且其周期性震荡的高位时期与赤道西太平洋暖池区的厄尔尼诺发生期间相吻合;③以浙江坎门（121°17′E , 28°05′N）为界,中国沿海冬季海平面还呈现出南北变化反相的跷跷板特征,该现象反映了中国沿海冬季海平面的气候性特征。受季风、海流、气压以及降水等因素的影响,冬季海平面的变化区域特征明显;④近31年, 中国沿海冬季气温、海温与海平面均呈显著上升趋势,上升幅度分别为1.8 ℃、1.4 ℃和135 mm,高于全年上升幅度。     

南海海平面长期变化及其趋势研究

On the basis of the satellite maps of sea level anomaly(MSLA) data and in situ tidal gauge sea level data,correlation analysis and empirical mode decomposition(EMD) are employed to investigate the applicability of MSLA data,sea level correlation,long-term sea level variability(SLV) trend,sea level rise(SLR) rate and its geographic distribution in the South China Sea(SCS).The findings show that for Dongfang Station,Haikou Station,Shanwei Station and Zhapo Station,the minimum correlation coefficient between the closest MSLA grid point and tidal station is 0.61.This suggests that the satellite altimeter MSLA data are effective to observe the coastal SLV in the SCS.On the monthly scale,coastal SLV in the western and northern part of SCS are highly associated with coastal currents.On the seasonal scale,SLV of the coastal area in the western part of the SCS is still strongly influenced by the coastal current system in summer and winter.The Pacific change can affect the SCS mainly in winter rather than summer and the affected area mostly concentrated in the northeastern and eastern parts of the SCS.Overall,the average SLR in the SCS is 90.8 mm with a rising rate of(5.0±0.4) mm/a during1993–2010.The SLR rate from the southern Luzon Strait through the Huangyan Seamount area to the Xisha Islands area is higher than that of other areas of the SCS.     

Intraannual variability of sea level around Tosa Bay

Through analysis of monthly in situ hydrographic, tide gauge, altimetry and Kuroshio axis data for the years 1993–2001, the intraannual variability of sea level around Tosa Bay, Japan, with periods of 2–12 months is examined together with the intraannual variability of the Kuroshio south of the bay. It is shown that the intraannual variation of steric height on the slope in Tosa Bay can account for that of sea level at the coast around the bay as well as on this slope. It is found that the steric height (or sea level) variation on the slope in this bay is mainly controlled by the subsurface thermal variation correlated with the Kuroshio variation off Cape Ashizuri, the western edge of Tosa Bay. That is, when the nearshore Kuroshio velocity south of the cape is intensified [weakened] concurrently with the northward [southward] displacement of the current axis, temperature in an entire water column decreases [increases] simultaneously, mainly due to the upward [downward] displacement of isotherms, coincident with that of the main thermocline. It follows that the steric height (or sea level) decreases [increases].     

马迹山工程中海平面的确定与高程基面关系的分析

以嵊泗列岛马迹山特大型矿石中转码头的项目为例,在对长期验潮站资料收集、计算与考证的基础上,通过相关分析及差比计算,确定了该工程处平均海平面及其与高程基面的关系,从而为大型工程的设计与建设提供了具有实用价值的依据。     

福建近海海平面变化研究

利用福建沿海几个主要验潮站数据与法国空间局(CNES)AVISO多卫星融合资料分析了福建近海及其周边海域海平面的时、空变化特征及主要模态,并简要分析福建近海海平面变化趋势.得到如下结论:近54a(1960~2013年)福建沿海相对海平面上升约2 mm/a,福建沿海海平面变化存在显著的季节变化和2~3a及6~8a的年际变化特征,这与ENSO和长周期天文分潮的变化周期较为吻合;对比同期卫星高度计资料和潮位站资料(1993~2012年)发现,卫星高度计与潮位站分析结果基本一致;卫星高度计和潮位站分析结果表明,福建沿海区域海平面近20a平均线性变化趋势约为4 mm/a.     

东山岛外海表层水温的亚潮频波动初步研究

本研究通过对东山岛外海浮标观测的表层水温(SST)数据进行分析,发现2016、2017年夏季东山岛外海表层水温均存在周期为5~8 d的亚潮频波动信号,最大振幅分别为3.1 ℃和2.1 ℃。结合卫星遥感SST数据以及风场数据,采用小波分析、交叉小波分析等方法对该现象进行研究分析,结果表明：2016年夏季表层水温中出现的亚潮频波动信号源自短波辐射,表层水温变化滞后短波辐射1天左右;2017年夏季的亚潮频波动源自沿岸风应力,表层水温变化滞后沿岸风应力2天左右。2016年和2017年表层水温出现的亚潮频波动均与台风有关,但信号的来源出现差异是因为2017年台风过境引起了较强的沿岸风松弛现象,在沿岸风中出现了亚潮频波动信号,沿岸风影响上升流变化,进而引起表层水温的变化;2016年由于台风过境引起的沿岸风松弛现象较弱,沿岸风中并未出现亚潮频波动信号,而表层水温中的亚潮频波动信号源自短波辐射,这可能与台风引起局地天气系统的变化有关。     

西北太平洋中国沿海海面倾斜及其机理初探

海面倾斜与高程基准密切相关,它已经受到大地测量学界和海洋学界的重视.进一步讨论了大地水准的测量精度,指出了大地(几何)水准与沿海验潮资料的不符是由于海面的倾斜;分析了海面倾斜的机理,其中包括海流、海水密度分布、气压、台风引起的破碎波等的作用;提出了用海水异常密度的三维分布计算大地水准面的扰动,实质上它反映了海面的倾斜,该量占大地水准测量结果的73%,这进一步说明密度的异常乃是我国沿海海面倾斜的主要原因.     

西沙周边海域海平面异常变化特征及成因分析

Based on the analysis of wind,ocean currents,sea surface temperature(SST) and remote sensing satellite altimeter data,the characteristics and possible causes of sea level anomalies in the Xisha sea area are investigated.The main results are shown as follows:(1) Since 1993,the sea level in the Xisha sea area was obviously higher than normal in 1998,2001,2008,2010 and 2013.Especially,the sea level in 1998 and 2010 was abnormally high,and the sea level in 2010 was 13.2 cm higher than the muti-year mean,which was the highest in the history.In 2010,the sea level in the Xisha sea area had risen 43 cm from June to August,with the strength twice the annual variation range.(2) The sea level in the Xisha sea area was not only affected by the tidal force of the celestial bodies,but also closely related to the quasi 2 a periodic oscillation of tropical western Pacific monsoon and ENSO events.(3)There was a significant negative correlation between sea level in the Xisha sea area and ENSO events.The high sea level anomaly all happened during the developing phase of La Ni?a.They also show significant negative correlations with Ni?o 4 and Ni?o 3.4 indices,and the lag correlation coefficients for 2 months and 3 months are–0.46 and –0.45,respectively.(4) During the early La Ni?a event form June to November in 2010,the anomalous wind field was cyclonic.A strong clockwise vortex was formed for the current in 25 m layer in the Xisha sea area,and the velocity of the current is close to the speed of the Kuroshio near the Luzon Strait.In normal years,there is a "cool eddy".While in 2010,from July to August,the SST in the area was 2–3°C higher than that of the same period in the history.     

日本广岛湾非潮汐的水位变化

Nontidal sea level changes generated in Hiroshima Bay of the Seto-Inland Sea in Japan are studied over various time scales, from the sub-tidal （2 d to 1 month） to inter-annual scales （〉2 years）. The total sea level variation produces a standard deviation （STD） of 12.5 cm. The inter-annual component of the sea level variation in Hiroshima Bay oscillates with a STD of 3.4 cm, forming a long-term trend of 4.9 mm/a. The STD of the sea level variation is 9.8 cm for the seasonal component （8 months to 2 years） and 4.7 cm for the intra-seasonal one （1 month to 8 months）. Significant sea level variations with a STD of 4.2 cm also occur in the sub-tidal range. Special attention is paid to the sub-tidal sea level changes. It is found that the upwelling and associated transient sea level changes generated along the north coast of Hiroshima Bay （opened southward） by the strong northerly wind, play a significant role in sub-tidal sea level changes. The transient sea level changes are over 10 cm in most cases when caused by typhoons that pass through the Pacific Ocean offthe Kii Peninsula, located at about 400 km east of Hiroshima Bay. Reasonable sea level changes are evaluated by the balance of pressure forces at the onshore and offshore boundary of the study domain.