葫芦岛核电站可能最大风暴潮(PMSS)数值模拟研究

核电厂厂址的可能最大风暴潮(Possible Maximum Storm Surege,PMSS)是滨海核电厂厂址重要的设计基准之一。基于ADCIRC风暴潮模式计算葫芦岛地区的风暴潮,同时对网格进行精细化处理,网格分辨率精度较高。首先为检验数值模式的准确性,分别模拟了辽东湾地区发生的6005号、7203号和7303号典型台风风暴潮过程,计算葫芦岛站风暴潮最大增水值并与实测资料进行对比,计算表明本文模拟结果与实测结果吻合良好,验证了本文数值计算模型的准确性,为可能最大风暴潮(PMSS)的计算提供了依据。以渤海典型台风7303号台风为基础,建立多条影响核电站厂址的台风路径,计算得到201条派生路径下核电站厂址的最大风暴增水情况,为核电站厂址选址提供了重要依据。     

印尼贯穿流源区马鲁古海与哈马黑拉海水团来源的季节和年际变化

So far, large uncertainties of the Indonesian throughflow(ITF) reside in the eastern Indonesian seas, such as the Maluku Sea and the Halmahera Sea. In this study, the water sources of the Maluku Sea and the Halmahera Sea are diagnosed at seasonal and interannual timescales and at different vertical layers, using the state-of-the-art simulations of the Ocean General Circulation Model(OGCM) for Earth Simulator(OFES). Asian monsoon leaves clear seasonal footprints on the eastern Indonesian seas. Consequently, the subsurface waters(around 24.5σ_θ and at ～150 m) in both the Maluku Sea and the Halmahera Sea stem from the South Pacific(SP) during winter monsoon, but during summer monsoon the Maluku Sea is from the North Pacific(NP), and the Halmahera Sea is a mixture of waters originating from the NP and the SP. The monsoon impact decreases with depth, so that in the Maluku Sea, the intermediate water(around 26.8σ_θ and at ～480 m) is always from the northern Banda Sea and the Halmahera Sea water is mainly from the SP in winter and the Banda Sea in summer. The deep waters(around27.2σ_θ and at ～1 040 m) in both seas are from the SP, with weak seasonal variability. At the interannual timescale,the subsurface water in the Maluku Sea originates from the NP/SP during El Ni?o/La Ni?a, while the subsurface water in the Halmahera Sea always originates from the SP. Similar to the seasonal variability, the intermediate water in Maluku Sea mainly comes from the Banda Sea and the Halmahera Sea always originates from the SP. The deep waters in both seas are from the SP. Our findings are helpful for drawing a comprehensive picture of the water properties in the Indonesian seas and will contribute to a better understanding of the ocean-atmosphere interaction over the maritime continent.     

热带不稳定波的年际变化及其与ENSO的关系

使用最优插值的1/4?逐日海温再分析资料(NOAA OISST V2.0)逐日海温资料研究了热带不稳定波(TIWs)的年际变化特征及其与厄尔尼诺与南方涛动(ENSO)的关系。结果表明:TIWs一般在每年的5~7月开始出现,在11~12月末或次年1月末消亡。TIWs和ENSO存在负相关关系,即在ENSO暖位相年(厄尔尼诺年),TIWs强度减弱;在ENSO的冷位相年(拉尼娜年),TIWs强度增强。进一步分析表明,在TIWs活跃的6~12月,其与ENSO存在很好的负相关,且相关性在12月最好。对TIWs和尼诺3.4区指数(NINO 3.4)海表面温度距平(SSTA)进行超前滞后相关分析,发现在TIWs超前ENSO 2~3个月时两者的相关性最显著,这意味着TIWs可能对ENSO循环具有调控作用。     

吕宋海峡内波吸引子的三维数值模拟

Internal waves propagate along wave beams that are inclined with respect to the horizontal plane. It is conjectured that the internal waves generated in the Luzon Strait may be confined between the double ridges in the strait and concentrate to a closed trajectory, the so-called internal wave attractor, due to the reflection of wave beams from the lateral boundaries, sea surface and bottom. This work carried out two experiments using a three dimensional non-hydrostatic general circulation model, MITgcm, to investigate the possibility that the ridges in the Luzon Strait allows for internal wave attractors. Baroclinic current in both of the experiments demonstrate the forming of ring-like patterns in some section around 20° and 21°N, indicating that the development of the internal wave attractors are allowed in the Luzon Strait. The different resolutions and initial conditions in the two experiments also reveal that the internal-wave-attractor phenomenon is robust in this region.     

2008年中国沿岸冬季寒潮激发陆架波的小波分析

This study applies the wavelet analysis to the tidal gauge records, alongshore winds, atmospheric temperature and pressure along the China coast in winter 2008. The analysis results show three events of sea level oscillations(SLOs) on the shelf induced by winter storms. The first event occurred from January 9 to 21. The SLO periods were double-peaked at 1.6–5.3 and 7.0–16.0 d with the power densities of 0.04–0.05 and 0.10–0.15 m2·d, respectively.The second event occurred from February 5 to 18. The SLO period was single-peaked at 2.3–3.5 d with power density of 0.03–0.04 m2·d. The third event occurred from February 20 to March 8. The SLO periods were doublepeaked at 1.5–4.3 and 6.1–8.2 d with the power densities of 0.08–0.11 and 0.02–0.08 m2·d, respectively. The SLOs propagated along the coast from Zhejiang in north to Guangdong in south. The phase speeds ranged about 9–29m/s from Kanmen to Pingtan, 5–11 m/s from Xiamen to Huizhou and 11–22 m/s from Huizhou to Shuidong. The dispersion relation of the SLOs shows their nature of coastal-trapped wave.     

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.     

巴西海洋与极地领域科技创新战略及对我国的启示

巴西地处南大西洋沿岸特殊的地理位置,深水海洋油气技术先进,产业区域性聚集明显,受极地气候变化影响明显,在此大背景下,巴西政府高度重视海洋与极地发展对其国际地位、政府治理、产业经济和社会稳定的联动影响。近年来,巴西借助部际海洋资源委员会、南极事务委员会等专业管理和决策机构,颁布了一系列海洋与极地战略的政策规划和法律法规,旨在全面推动巴西在全球海洋与极地科技事务中的顶层部署和研究领域,尤其是费拉兹司令南极科学考察站的建成,为巴西参与南极事务奠定了基础设施和支撑。中国可在借鉴巴西海洋与极地事务经验教训的基础上,特别是深水油气开发技术的成功经验上,持续加强与巴西的深层合作,积极寻求两国在海洋与极地科技开发中的相互战略支持,建立和谐稳定的中巴双边科技创新长效合作机制,更加有利于中国海洋与极地科技创新的全面发展。     

单波长原子吸收测汞仪热解法分析固体样品汞量新技术

单波长原子吸收测汞仪热解法分析固体样品汞量新技术卫敬生，郑康乐（浙江省第三地质大队，金华２１００１）（地矿部航遥中心，北京１０００８３）本项分析技术是使用单波长原子吸收测汞仪，采用固体进样，直接热解方法，测定固体样品中汞量。其分析精密度、准确度、速度...     

盐度对日本鳗鲡生长及非特异性免疫酶活性的影响

利用实验生态学和酶学方法,在浙江省海洋水产养殖研究所清江试验场研究了盐度对平均体长为25．1±5．6cm的日本鳗鲡（Anguillajaponica）生长及其血清溶茵酶（LZM）、超氧化物歧化酶（SOD）及碱性磷酸酶（AKP）活性的影响,实验持续60d．实验设置了5个盐度梯度（盐度5、10、15、20、25）和对照组（盐度0）,每梯度设3个平行组,各组盐度和pH值保持一致．日本鳗鲡血清中免疫酶活力指标：碱性磷酸酶、溶茵酶、超氧化物歧化酶在实验的第7天和第14天测定．实验结果表明,盐度5组相对增重率最高（279．78％±28．37％）,其次是盐度10组（278．74％±22．25％）,盐度15、20、25组相对增重率分别为234．39％±21．28％、230．28％±26．31％、228．01％±29．29％．对照组相对增重率为233．20％-4-25．18％,盐度5和10组与对照组差异显著（P〈0．05）,其余各组与对照组差异不显著．第7天和第14天,盐度10组碱性磷酸酶活性最高,分别为225．05U／dm。和251．11U／dm’,其次是盐度5组,分别为221．76U／dm。和236．01U／dm。,显著高于对照组（P〈0．05）．第7天和第14天盐度20、25组溶菌酶活性显著高于对照组（P〈0．01）．超氧化物歧化酶随着盐度的升高呈逐步上升趋势．第14天,盐度20、25纽溶菌酶活性仍保持较高水平,SOD回落至对照组水平,而各组AKP较第7天略有上升．