1509号台风灿鸿期间“朱家尖-嵊山”高频地波雷达数据分析

2007年在朱家尖和嵊山布设了小型阵变频高频地波雷达,对共同覆盖范围内的舟山海域进行风、浪、流的业务化探测。2015年7月11日,1509号台风灿鸿在朱家尖沿海登陆,之后继续向北偏东方向移动,台风中心经过高频地波雷达探测海域。本文将台风期间高频地波雷达的探测数据分别与定点浮标观测数据和ASCAT卫星遥感大面积风场数据进行了对比分析。结果表明,高频地波雷达在台风期间较好地反映了舟山海域流场特征和风场分布情况,高频地波雷达的探测数据精度满足指标要求,验证了高频地波雷达在复杂海况条件下具有合格的探测性能。     

对海洋科学的认识与实践

"热带西太平洋海洋系统物质能量交换及其影响"是中国科学院海洋领域投入最大、参加人员最多的一个海洋科学先导项目,该项目使我们第一次有机会从海洋系统角度研究中国近海到西太平洋的一些海洋前沿问题。来自物理、化学、生物、地质和大气等不同学科的科学家们围绕共同的问题,在同一个区域、从不同方向开展协同研究。目前,海洋先导专项已在深海探索与研究、海洋能力建设、科考平台建设、技术队伍建设、科研与技术有机融合的体系建设和海洋前沿探索方面取得一系列突破,为全面、综合地开展深海资源的探测与近海生态安全研究奠定了重要基础。海洋先导专项更多系统性、有影响力的成果将在未来不断涌现出来。     

北极径流增加对大西洋经向翻转环流影响的模拟研究

观测显示过去几十年间北极入海径流呈现增加趋势,CMIP5耦合模式预测表明21世纪北极入海径流仍会增加,在RCP8.5路径下,21世纪末北极入海径流量将会是1950年的1.4倍。本文利用冰-海耦合数值模式研究了北极径流增加对大西洋经向翻转环流的影响。基于两个数值实验的结果表明,如果北极入海径流按每年0.22%的速度（与RCP8.5路径下的速度相当）增加,大西洋经向翻转环流的强度在100、150和200年后将会分别减弱0.6（3%）、1.2（7%）和1.8（11%） Sv。北极入海径流增加导致大西洋经向翻转环流减弱的主要原因是,北极入海径流增加的淡水被输运到北大西洋后,会抑制北大西洋深层水的生成,这也会导致北大西洋深层水海水年龄的增加。     

凯氏拟小球藻己糖激酶基因的克隆及其在不同培养条件下的表达分析

为研究凯氏拟小球藻(Parachlorellakessleri)糖代谢分子机制,本研究采用RT-PCR和RACE技术从凯氏拟小球藻中克隆了己糖激酶基因CkeHK(GenBankID:AHF54566),并对其自养、异养、混养条件下的转录表达进行分析。结果表明,该序列的cDNA全长为1844bp,开放阅读框1389bp,编码462个氨基酸。该蛋白的相对分子质量为49.73,等电点为6.98。实时荧光定量PCR结果显示,以自养培养条件为对照,异养培养和混养培养条件下,CkeHK均能够发生明显上调,且混养条件下上调量比异养条件下上调量更多,说明CkeHK可能在凯氏拟小球藻利用外源糖的过程发挥重要作用,并且光信号对于凯氏拟小球藻利用外源糖可能存在调控作用。这些研究结果为进一步阐明CkeHK的功能及其作用机制奠定了分子基础。     

烟台市区河流入海口微生物群落的分析

2015年4月在烟台市区4条主要河流(辛安河、逛荡河、鱼鸟河和夹河)入海口处采集12个样品,利用PCR-DGGE方法分析了此区域的细菌群落组成和优势菌群。通过统计学手段对DGGE图谱进行分析,结果表明4条河流入海口细菌群落丰富度都较高,12个取样点扩增的DGGE条带数都在30以上,样品的Shannon指数均高于3.3,个别甚至可达3.61。其中,辛安河和逛荡河的Shannon指数平均值均高于鱼鸟河和夹河,夹河多样性最低;而且UPGMA聚类分析结果显示地理位置越接近,其细菌组成的相似度越高。在DGGE电泳条带中选取14条主要条带进行扩增和序列测定,所得到的序列进行了系统进化分析发现4条河流入海口的优势菌群主要为变形杆菌门(Proteobacteria)和拟杆菌门(Bacteroidetes)。这与近年来关于山东近岸海域细菌多样性的研究结果相符合,为研究和保护烟台市区河口处环境提供科学依据。     

内蒙古荒漠-草原过渡带灌木群落特征

荒漠-草原过渡带是草原逐渐被荒漠取代的区域.沿阿拉善左旗-乌拉特后旗调查灌木群落,分析植物群落的结构和物种多样性,以期为生物多样性保育提供理论依据.结果表明:该荒漠-草原过渡带有62种植物,隶属于18科、47属,禾本科、藜科、豆科和菊科的植物较多.植物主要由灌木和多年生草本构成,以旱生植物为主,主要包括红砂(Reaum...     

Oceanic response to Typhoon Nari (2007) in the East China Sea

The oceanic response to a typhoon in the East China Sea (ECS) was examined using thermal and current structures obtained from ocean surface drifters and a bottom-moored current profiler installed on the right side of the typhoon’s track. Typhoon Nari (2007) had strong winds as it passed the central region of the ECS. The thermal structure in the ECS responded to Typhoon Nari (2007) very quickly: the seasonal thermocline abruptly collapsed and the sea surface temperature dropped immediately by about 4°C after the typhoon passed. The strong vertical mixing and surface cooling caused by the typhoon resulted in a change in the thermal structure. Strong near-inertial oscillation occurred immediately after the typhoon passed and lasted for at least 4–5 days, during which a strong vertical current existed in the lower layer. Characteristics of the near-inertial internal oscillation were observed in the middle layer. The clockwise component of the inertial frequency was enhanced in the surface layer and at 63 m depth after the typhoon passed, with these layers almost perfectly out of phase. The vertical shear current was intensified by the interaction of the wind-driven current in the upper layer and the background semi-diurnal tidal current during the arrival of the typhoon, and also by the near-inertial internal oscillation after the typhoon passage. The strong near-inertial internal oscillation persisted without significant interfacial structure after the mixing of the thermocline, which could enhance the vertical mixing over several days.     

Sources and distribution of allochthonous organic matter in surface sediment from the Seomjin River to the southern inner shelf of Korea

The spatial distributions of δ¹³C, δ¹⁵N, and n-alkanes were investigated to determine the source and transportation of allochthonous organic matter from the mouth of the Seomjin River to the southern inner shelf break of Korea. Total organic carbon (%) ranged from 0.3% to 1.6% (average = 0.80%, n = 81), and the C/N ratio varied from 2.4 to 12.4 (average = 6.76, n = 81). The δ¹³C values ranged from ?25.86 to ?20.26‰ (average = ?21.47‰, n = 81), and δ¹⁵N values ranged from 4.37‰ to 8.57‰ (average = 6.72‰, n = 81). The contribution of the terrestrial fraction of organic matter to the total ranged from 4.4% to 97.7% (average = 24.4%, n = 81), suggesting higher amounts around the catchment area and lower amounts in the offshore area. The concentration of total n-alkanes (nC₂₅ ? nC₃₅) was higher at the boundary between the outer bay and inner shelf break (BOBIS). Average chain length and the carbon preference index both indicated that major leaf wax n-alkanes accounted for the observed distribution of terrestrial organic matter, and were dominant in the inner shelf break (around BOBIS) and outer shelf break. Based on the spatial distribution of the total n-alkanes and the sum of nC₂₇, nC₂₉, and nC₃₁, the terrestrial organic matter distribution was considered to be controlled by local oceanographic conditions, especially at the center of the BOBIS. In addition to enabling the distribution and source of terrestrial organic matter to be identified, the n-alkanes indicated that minor anthropogenic allochthonous organic materials were superimposed on the total organic materials in the central part of Yeosu Bay and the catchment area. The n-alkane indices revealed weathered petroleum contamination, with contamination levels being relatively low at the present time.     

Global water vapor content decreases from 2003 to 2012: An analysis based on MODIS data

Water vapor in the earth′s upper atmosphere plays a crucial role in the radiative balance, hydrological process, and climate change. Based on the latest moderate-resolution imaging spectroradiometer(MODIS) data, this study probes the spatio-temporal variations of global water vapor content in the past decade. It is found that overall the global water vapor content declined from 2003 to 2012(slope b = –0.0149, R = 0.893, P = 0.0005). The decreasing trend over the ocean surface(b = –0.0170, R = 0.908, P = 0.0003) is more explicit than that over terrestrial surface(b = –0.0100, R = 0.782, P = 0.0070), more significant over the Northern Hemisphere(b = –0.0175, R = 0.923, P = 0.0001) than that over the Southern Hemisphere(b = –0.0123, R = 0.826, P = 0.0030). In addition, the analytical results indicate that water vapor content are decreasing obviously between latitude of 36°N and 36°S(b = 0.0224, R = 0.892, P = 0.0005), especially between latitude of 0°N and 36°N(b = 0.0263, R = 0.931, P = 0.0001), while the water vapor concentrations are increasing slightly in the Arctic regions(b = 0.0028, R = 0.612, P = 0.0590). The decreasing and spatial variation of water vapor content regulates the effects of carbon dioxide which is the main reason of the trend in global surface temperatures becoming nearly flat since the late 1990 s. The spatio-temporal variations of water vapor content also affect the growth and spatial distribution of global vegetation which also regulates the global surface temperature change, and the climate change is mainly caused by the earth's orbit position in the solar and galaxy system. A big data model based on gravitational-magmatic change with the solar or the galactic system is proposed to be built for analyzing how the earth's orbit position in the solar and galaxy system affects spatio-temporal variations of global water vapor content, vegetation and temperature at large spatio-temporal scale. This comprehensive examination of water vapor changes promises a holistic understanding of the global climate change and potential underlying mechanisms.     

Mapping soil organic carbon stocks of northeastern China using expert knowledge and GIS-based methods

The main aim of this paper was to calculate soil organic carbon stock (SOCS) with consideration of the pedogenetic horizons using expert knowledge and GIS-based methods in northeastern China. A novel prediction process was presented and was referred to as model-then-calculate with respect to the variable thicknesses of soil horizons (MCV). The model-then-calculate with fixed-thickness (MCF), soil profile statistics (SPS), pedological professional knowledge-based (PKB) and vegetation type-based (Veg) methods were carried out for comparison. With respect to the similar pedological information, nine common layers from topsoil to bedrock were grouped in the MCV. Validation results suggested that the MCV method generated better performance than the other methods considered. For the comparison of polygon based approaches, the Veg method generated better accuracy than both SPS and PKB, as limited soil data were incorporated. Additional prediction of the pedogenetic horizons within MCV benefitted the regional SOCS estimation and provided information for future soil classification and understanding of soil functions. The intermediate product, that is, horizon thickness maps were fluctuant enough and reflected many details in space. The linear mixed model indicated that mean annual air temperature (MAAT) was the most important predictor for the SOCS simulation. The minimal residual of the linear mixed models was achieved in the vegetation type-based model, whereas the maximal residual was fitted in the soil type-based model. About 95% of SOCS could be found in Argosols, Cambosols and Isohumosols. The largest SOCS was found in the croplands with vegetation of Triticum aestivum L., Sorghum bicolor (L.) Moench, Glycine max (L.) Merr., Zea mays L. and Setaria italica (L.) P. Beauv.