基于机器学习的海洋环境预报订正方法研究

结合中尺度数值模式 WRF 预报数据和 ERA5 再分析资料,利用机器学习方法对 WRF 预报场的风场、温度、气压进行预报订正。采用 ERA5 作为真值,与原始 WRF 预报相比,利用随机森林模型可以将预报结果整体均方根误差降低 44%以 上,利用深度神经网络模型可以将预报结果整体均方根误差降低 34%以上。通过随机森林模型实验得到不同输入特征对预报要素的影响程度,分析了关键的预报订正因子。     

绿潮暴发对浮游动物群落结构影响研究

本调查于2016年和2017年的5月、8月,对日照近岸海域浒苔暴发区进行了4个航次的浮游动物断面调查。4个航次中,2016年和2017年5月航次获得的种类数要明显低于同年8月航次,而平均丰度和湿重生物量均高于同年8月航次。造成这种情况的原因可能是调查海域8月浒苔暴发结束,浒苔的消亡过程会大量消耗营养盐,导致水体中营养盐含量下降,进而影响到其他浮游植物和浮游动物的生长。应用PRIMER软件中的单变量分析得到群落种数(S)、丰富度(d)、香农-威纳指数(Shannon-Weaner index)(H′)和均匀度(J),从多样性指数分析可以看出,5月航次的生物多样性均劣于同年8月航次。不同年度相同季节航次中出现的优势种极其相似,而不同季节航次出现的优势种则大不相同。     

Seasonal and interannual variability of oceanic carbon cycling in the western and central tropical-subtropical pacific: A physical-biogeochemical modeling study

The oceanic carbon cycle in the tropical-subtropical Pacific is strongly affected by various physical processes with different temporal and spatial scales, yet the mechanisms that regulate air-sea CO₂ flux are not fully understood due to the paucity of both measurement and modeling. Using a 3-D physical-biogeochemical model, we simulate the partial pressure of CO₂ in surface water (pCO_2sea) and air-sea CO₂ flux in the tropical and subtropical regions from 1990 to 2004. The model reproduces well the observed spatial differences in physical and biogeochemical processes, such as: (1) relatively higher sea surface temperature (SST), and lower dissolved inorganic carbon (DIC) and pCO_2sea in the western than in the central tropical-subtropical Pacific, and (2) predominantly seasonal and interannual variations in the subtropical and tropical Pacific, respectively. Our model results suggest a non-negligible contribution of the wind variability to that of the air-sea CO₂ flux in the central tropical Pacific, but the modeled contribution of 7% is much less than that from a previous modeling study (30%; McKinley et al., 2004). While DIC increases in the entire region SST increases in the subtropical and western tropical Pacific but decreases in the central tropical Pacific from 1990 to 2004. As a result, the interannual pCO_2sea variability is different in different regions. The pCO_2sea temporal variation is found to be primarily controlled by SST and DIC, although the role of salinity and total alkalinity, both of which also control pCO_2sea, need to be elucidated by long-term observations and eddy-permitting models for better estimation of the interannual variability of air-sea CO₂ flux.     

GPS���ٶ�λ�в�̬��������򻯿���ⷨ

???GPS?????λ??????????????????????????????????????????????M??????????????μ??????????????????????????????????????????????е????????????????????????÷??????п???????????????????????????     

九龙江河口区现代沉积环境及其物质输运趋势

对九龙江河口区58个表层沉积物样品进行了激光粒度分析,并分别应用系统聚类分析和GSTA模型分析,探讨了研究区的沉积特征、沉积环境和表层沉积物输运趋势。结果表明,九龙江河口区表层沉积物由10种沉积物类型组成,与20世纪80年代相比,该海区底质沉积物在类型分布和粒径粗细上发生了一定的变化;将研究区划分为3种与沉积动力特征相对应的主要沉积环境区;表层沉积物输运趋势因受该区特殊的地形和复杂的水动力条件影响而表现为北进南出,海门岛西北海域形成逆时针方向输运趋势,而海门岛以东海域形成三向汇聚的输运趋势。     

九孔鲍MSTN基因cSNP多态性及与生长性状关联分析

九孔鲍(Haliotis diversicolor supertexta)是中国南方具有较高经济价值的养殖贝类。肌肉生长抑制素(Myostatin, MSTN)是转化生长因子β超家族(TGF-β)中参与动物肌肉生长的重要调控因子, 因此MSTN基因是动物遗传改良的重要候选基因。为探究九孔鲍MSTN基因的多态性及其生长相关性, 实验采用PCR产物直接测序方法对九孔鲍MSTN基因进行单核苷酸多态性(SNP)筛选, 对MSTN基因SNP与体质量、壳长、壳宽进行关联性分析, 运用实时荧光定量PCR (qRT-PCR)技术检测九孔鲍MSTN基因不同基因型的表达水平。结果显示: 在九孔鲍MSTN基因中共筛选出9个SNP位点。SNP位点与生长性状关联分析发现, 九孔鲍MSTN基因编码区SNP位点g909C>T发生C/T同义突变与九孔鲍体质量、壳长、壳宽显著相关。TT基因型九孔鲍的体质量显著高于CC基因型和TC基因型个体; TT基因型的壳长、壳宽显著高于CC基因型(p<0.05)。通过qRT-PCR检测显示, 在九孔鲍MSTN基因SNP位点g909C>T的3种基因型中, TC和CC基因型的基因表达量显著高于TT基因型(p<0.05)。研究结果表明MSTN基因SNP位点g909C>T可作为九孔鲍标记辅助选择育种重要候选标记。     

1.5 μm波长n-p-n型InGaAsP-InP晶体管激光器材料外延生长

基于器件模拟仿真,设计了一种1.5 μm波长InGaAsP-InP晶体管激光器材料外延结构. 其多量子阱有源区置于基区非对称波导中. 仿真结果显示该外延结构能够获得较好的光场限制和侧向电流限制. 对该材料MOCVD生长研究表明,基极重掺杂接触层中Zn²⁺扩散将导致量子阱严重退化. 通过对其扩散过程的模拟仿真,采用平均掺杂浓度为1×10¹⁸ cm^-3的梯度掺杂,有效地抑制了Zn²⁺向量子阱区的扩散. 所获得的外延材料在     

锡石的晶体结构和形态的关系

本文对不同成因类型的锡石晶体形态进行了研究,并从PBC(周期性键链)理论出发,讨论了锡石晶体形态与晶体结构的关系。笔者认为,锡石晶体具有三种F面,即s{111}、e{101}、m{110},与Hartman对同样结构类型的金红石晶面性质划分有所差异。据锡石晶面结构性质所推导的理想晶体形态图,与晶体测量所得到的天然晶体形态图总体上相吻合。     

Neutron activation studies of the geochemical behaviours of 26 elements in deep-sea drill core sediments from the Indian Ocean

The geochemical behaviours of 26 elements in deep-sea drill core sediments from the Indian Ocean have been investigated with INAA, including Na, K, Ca, Sc, Cr, Fe, Co, Rb, Sr, Zr, Sb, Cs, Ba, La, Ce, Nd, Sm, Eu, Tb, Yb, Lu, Hf, Ta, Au, Th and U. Their distribution patterns with depth are also discussed. In terms of the enrichment factors of the respective elements, their residence times in the sea have been calculated by the least squares fitting and are compared with the previous results.     

河北省峪耳崖金矿床地质地球化学特征

本文从地质地球化学角度对峪耳崖金矿床进行了详细研究,认为该金矿是典型的岩浆热浪型脉状金矿床,金矿与峪耳崖花岗岩(即矿床的主要围岩)为同源岩浆作用的产物,而其源岩物质可能来自深部地壳。黄铁矿中Co/Ni比为1.58,石英中La/Yb比为2.95,δ~(34)S_∑为+2.6‰,δ~(13)O水为+7.03‰,δD为-88.4‰,δ~(13)C为-4.18‰,成矿温度为305～343℃,pH为6.2～6.8,石英包裹体成分中Cl~->F~-、Na~+>K~+,金可能是以Na[AuCl_2],Na[Aucl_4]或Na[AuS]等络合物形式迁移。