左军成
主要从事物理海洋学科的潮汐与海平面变化研究。
个性化签名
- 姓名:左军成
- 目前身份:
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学术头衔:
博士生导师
- 职称:-
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学科领域:
物理海洋学
- 研究兴趣:主要从事物理海洋学科的潮汐与海平面变化研究。
左军成,男,1965年6月出生,山东日照人,1986年毕业于国防科技大学应用物理系获理学学士学位,1989年和1992年分别获得中国海洋大学物理海洋硕士和博士学位,1992年后一直在中国海洋大学任教,目前是物理海洋专业教授,博士生导师。曾在德国Kiel海洋研究所和葡萄牙IPIMAR海洋研究所从事过2年博士后研究。左军成教授主要从事物理海洋学科的潮汐与海平面变化研究。近年来,他与合作者在上述领域取得了一系列有价值的科研成果,其中包括:(1)海平面变化研究方面。建立了用于海平面变化分析预测的随机动态预测模型、经验正交分解方法,并最终建立了经验正交分解与随机动态的联合模型;建立了海平面变化分析预测的灰色系统模型,并应用于全球海平面变化研究;首次将经验模态分解方法应用于海平面变化研究;给出了中国海和太平洋的海平面变化预测;研究了中国海平面变化与El Nino的关系;首次给出了海平面变化对工程水位计算影响的联合概率分布方法,并通过数值模拟首次提出海平面变化对工程水位的影响的区域各异性以及空间分布。目前他在该领域的主要工作集中在研究温盐变化所致的比容变化而引起的全球海平面变化;(2)潮波研究方面。建立了卫星高度计资料同化的POM湍封闭潮波模型,给出了东中国海精确的数值潮波解;国内首次建立了利用卫星高度计反演潮波的正交响应法,给出了南中国海的潮波;国内首次建立了东中国潮波的有限元潮波模型,得出了较为准确的潮波数值解;以渤海为例初步研究了流、浪、潮的非线性相互作用。近年来,他主持并先后完成国家863项目、国家自然科学基金、中德、中葡国际合作等,以及省部级等多项重要科研任务。他的海平面变化研究成果作为核心内容的“中国沿岸现代海平面变化及其应用研究”获2001年获国家科技进步二等奖,获教育部科技进步一等奖1项和二等奖2项。在国内外核心期刊发表论文30余篇。曾获得"教育部霍英东青年教师奖"、"山东省青年科技奖"、"青岛市专业技术拔尖人才"荣誉称号。
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成果数
10
左军成, 陈宗镛, 戚建华
青岛海洋大学学报,1997,27(2):138~144,-0001,():
-1年11月30日
应用灰色系统理论,对太平洋海域48个长期验潮站的月均海平面分别建立了GM(1,1)模型。GM(1,1)模型能较好地反映太平洋海域的悔平面变化的趋势,它除了能给出连续的海平面变化速率外,同时能方便地给出海平面变化的加速率。模拟结果表明,在太平洋地壳均衡假设下,太平洋海域的月均海平面以平均速率0.17cm/a上升。在太平洋海域所取的48个长期验潮站中,有40个站在加速上升,全部站的平均加速度为0.00029cm/a2。且加速率逐渐增大。当然这些加速率都很小,但作为一种普遗性的趋势,这已足以说明:太平洋海域的海平面在加速上升。
太平洋, 海平面变化, 变化速率, 加速率, 灰色系统理论, 模型
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【期刊论文】南海TOPEX/POSEIDON高度计资料的正交响应法潮汐分析*
左军成, 李培良, 李磊, 黄娟†
海洋与湖沼,2002,33(3):287~295,-0001,():
-1年11月30日
根据Munk等提出的响应法(Response Method)和Goves等(1975)的正交响应方法(Orthogonalized Convolution Method)的思想,利用正交潮响应对248个周期超过6年的南中国海的TOPEX/POSEIDON卫生高度计资料进行潮波分析。在分析中引入全日潮族和半日潮族,并利用正交潮函数(Orthotide function)分析出了3个主要的全日分潮(K1、O1、P1)和3个主要半日分潮(M2、S2、N2),并给出了K1、O1、M2、S2的等振幅线和同潮时图,结果与其他学者的主要结果符合得很好。通过与整个海区53个验潮站的主要全日分潮K1分潮和主要半日分潮的比较,K1分潮的振幅和迟角的平均绝对误差分别为4.73cm和11.6,而M2分潮的分别为11.91cm和28.4,优于Mazzega(1994)的结果。
潮汐,, 正交响应法,, 南中国海,, TOPEX/, POSEIDON
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左军成, 王卫强, 陈宗镛
海洋学报,1999,21(6):102~109,-0001,():
-1年11月30日
相对海平面, 年变率, 经验模态分解, 本征模态函数
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左军成, 陈宗镛, 戚建华
青岛海洋大学学报,1997,27(4):446~452,-0001,():
-1年11月30日
旨在分析太平洋地区的月均海平面的变化,探讨其物理过程。文中共分析了54个长期站的海平面资料,对54个站分别建立了随机动态非线性模型,求得了太平洋地区的海平面平均上升速率为0.16cm/a。并对太平洋东西岸各站及海洋中观测站海平面资料相对于TA-LARA站海平面资料进行了交叉谱分析,结论是,太平洋月均海平面45个月的低额振动存在着以下的规律:由东太平洋(15°~25°N)开始,向西传播至太平洋西岸后,转向南,在5°N~25°S之间,转向东到达太平洋东岸后北上形成逆时针循环。在埃尔尼诺事件的低纬典型区,月平均海面振动中年周期振动的主导作用下降,甚至失去主导作用,而与埃尔尼诺事件的准周期相近的周期振动的作用增大。
太平洋, 海平面, 埃尔尼诺, 随机动态非线性模型, 交叉谱
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【期刊论文】中国沿岸海平面变化的一种本征分析和随机动态联合模型*
左军成, 陈宗镛, 周天华
海洋学报,1996,18(2):7~14,-0001,():
-1年11月30日
本文将经验正交函数法与随机动态方法结合起来,分析了中国沿岸5个站的海平面变化。由于空间本征函数在短时间可认为不变,用随机动态方法分析各主要时间本征函数,最后采用非线性最小二乘法求出各主要时间本征函数的线性增长速率,分别乘上相应的空间本征函数便得到各站的相对海面线性增长速率,对未来的时间本征函数作出预报,从而得到未来的平均海面预报值。各站均衡基准下的海平面线变速率平均为0.24cm/a。
平均海面变化率, 时间本征函数, 空间本征函数, 随机动态分析
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【期刊论文】The Upper Mixed Layer during Coastal Upwelling Events on the Northern Portugal Shelf
左军成, ZUO Juncheng), *, SHENG Hong), Alvaro Peliz), Santos A. Minguel)
Journal of Ocean University of Qingdao (Oceanic and Coastal Sea Research) ISSN 1671-2+63, Ocrober 31, 2003 Vol. 2, No.2, pp. 147-154,-0001,():
-1年11月30日
The upper mixed layer (UMI) depth obtained from temperature is very close to that from density: the maximum is about 15m. This indicdtes that temperature is a good indicator of mixed layer during measurements When the surface heat flux is balaceed by a cross-shore beat flux, the surface mixed layer depth obtained from the WM model (Weatherly and Martin, 1978), hPRT, is roughly the same as obscrred. The mixed layer depth calculated from the PWP model (Price, Weller and Pinkel, 1986) is close to the depth obtained from thermistor chain temperature data. The results show that both the WM model and PWP model can provide a good estimnate of stratification in the study area during the cruise. The value of log (h\u3) is about 9.5 in the study area, which shows that the study arca is strongly stratified in summer. Observtions on the northern Portugal shelf reveal high variability in stability, giving rise to semi-diurnal, scmi-nonthly and diurnal oscillations, and long term variations. The fortnightly oscillations are highlighted by post-springs and post-neaps. The stirring of spring tide is reinforced by strong wind mixing which brings about completc vertical homogencity everywhere. The semi diurnal periodic stratification is very pronounced because the major axis of the tidal cllipse is orientated acrossshore, even though the tidal current is wear in this area, the maximum stratification is obscrved around the middle of ebb, and, the water at this time is much warmer. The diurnal oscillation results from the upper ocean responsc to henting and wind mixing when solar heating warms and stabilizes the upper ocean There is a clcar relationship between upper mixed layer depth and wind stress magnitude at subtidal frequencies, Stronger winds result in a deeper surface mixed layer. Typically, the surface mixed layer depth lags the wind stress by h 12h.
stratification, upwelling, upper mixed layer (, UML), , northern Portugal shelf
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【期刊论文】Tidal Simulation in the East China Sea with Finite Element Method
左军成, L. Li, J.C. Zuo and P.L. Li
Honolulu, Hawaii, USA, May 25-30, 2003,-0001,():
-1年11月30日
A finite element model, QUODDY model, is used to study the tides in the East China Sea, the Yellow Sea and the Bohai Sea in this paper. The simulation results fit well with the observation data. The cotidal charts of M2, S2, K1, O1 and M4 are given out. The result of this paper supports that the phase-lag of M2 varies little at Laizhou Bay. The amphidromic point of M2 disappears in the Liaodong Bay when the bottom stress drag coefficient increases to 0.0028. There is a high amplitude (more than 0.06m) region of M4 around (32.8
tide, finite element method, the East China Sea,, the Yellow Sea and the Bohai Sea
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【期刊论文】Effect of Sea Level Variation on Tidal Characteristic Values for the East China Sea*
左军成, YU Yi-fa a, , YU Yu-xiu a, ZUO Jun-cheng b, WAN Zhen-wen c and CHEN Zong-yong b
China Ocean Engineeing, Vol. 17, No.3, pp. 369-382,-0001,():
-1年11月30日
Tidal waves in the Easl China Sea are simulated numetically with POM (Princeton Ocean Model) model for normal mcan sea level, 30cm higher, 60cm higher, and 100cm higher, respcctively, and the simulated rsult is compared with the harmonic analysis reult of hourly sea level data from 19 fide ganges for more than 19 years. It is indicated that the long-term mean sea level variation affects notably tidal waves in this region. Generally, the tidal amplitude increases when the mean sea level rises, but this relationship may be inverse for some sea areas. The maximal variation of tidal amplitude takes place in the zones near the Fujian coast and the Zhejiang coast, rather than the shallowest Bohai Sea. The maximum increase of M2 amplitude can excced about 15cm corressponding to the 60cm rise of the mean sea level along the Fujian coast. The other ragions with large variations of tidal amplitude are those along the Jiangsu coast, the south-east coast of Shandong, and the south-east coast of Dalian. The propagation of tidal waves is also related to mean sea level vatiation, and the tidal phase-lag decreases generally when the mean sea level rises. Almost all the ragions where the tidal phase-lag increases with rising mean sea level are close to amphidromic points, meanwhile the spatial area of such regions is very small. Because the influence of mean sea level variation upon tidal waves is spatially marked, such spatial effect should be considered in calculation of the tidal characteristic value and engineering water level. In the region where the amplitudes of the major tidal constituents increase, the probable maximum high water leval becomes higher, the probable maximum low water level becomes lower, and both design water level andcheck water level increase obviously. For example, the design water level at Xiamen increases by 13.5cm due to the variation of tidal waves when the mean sea level rises 60cm, the total increase of design water level being 73.5cm.
East China Sea, mean sea level, tidal wave variation, tidal characteristic value, engineering water level
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【期刊论文】Effect of Sea Level Variation on Calculation of Design Water Level*
左军成, ZUO Juncheng, YU Yifa, BAO Xianwen and LIU Defu
China Ocean Engineering, Vol. 15. No.3, pp. 383-394,-0001,():
-1年11月30日
The long-term variation and seasonal variation of sea level have a notable effect on the calculation of engineering water level. Such an effect ts first analyzed in this paper. The maximal amplitude of inter-annual anomaly of monthly mean sea level along the China coast is larger than 60cm. Both the storm surge disaster and cold wave disaster are seasonal disasters in vario us regions, so the water level corresponding to the 1% of the cumulative frequency in the cumula tire 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 stochastic dynamic method; thirdly, the astronomical tide and storm surge tide are obtained by subtracting the linear fitting part from the original hourly data. finally, two distributions corresponding to the astronomical tide and wind tide are obtained according tn whether the astronomical tide and storm tide are correlative or not. So the two check water levels are obtained with the joint probability method. The maximal difference between the two water levels of 100 years' recurrence is more than 30cm. Both of the two check wat er levels have disadvantages in the use of observation data, so the mean value is suggested to be taken as the final check water level. A comparison between the two check water levels indicates that the effect of sea level variation upon design water level and check water level is larger than 80 cm at some stations.
engineering water level, sea level, stochastic dynamic, residual level, joint probability
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左军成, P.L. Li, W. Zhao, J.C. Zuo, L. Li and J. W. Jian
Honolulu, Hawaii, USA, May 25-30, 2003,-0001,():
-1年11月30日
A coupled modeling system is developed to study the interactions between wave, current and tide in Bohai Sea during a winter storm. The coupled modeling system includes a wave model-WAVEWATCH III and a three-dimensional Ocean model-POM. Numerical results show that the interactions have a strong impact on all the elevation, current and wave fields. The sea surface elevation can increase 7cm in the Laizhou Bay, and decrease 7cm in the Liaodong Bay under the effect of the enhanced wind stress derived from the surface wave. The wavee influence on the wind stress also can increase the magnitude of surface current 8cm/s in the central Bohai Sea. The significant wave height waries as much as 40% under the effect of tides and surges in some coastal areas.
coupled modeling system,, the Bohai Sea
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