日本(虫寻)和底栖短桨蟹线粒体DNA 12SrRNA基因序列的初步研究

以相应引物对日本和底栖短桨蟹的线粒体 DNA1 2 S r RNA基因片段进行了 PCR扩增和序列测定 ,分析比较了 2种间序列差异。结果表明 :日本 1 2 S r RNA基因片段长度为 41 4 bp,底栖短桨蟹为 41 5bp,2种的 A,T,G,C含量分别为 1 51 bp(36.47% ) ,1 53bp(36.96% ) ,43bp(1 0 .39% ) ,67bp(1 6.1 8% )和 1 50 bp(36.1 4 % ) ,1 55bp(37.35% ) ,44bp(1 0 .60 % ) ,66bp(1 5.90 % )。 2种间共出现了 3个碱基的缺失 /插入和 38bp的序列差异 ,其碱基转换与碱基颠换比约为 2 .1 7。     

中国主要入海河口咸潮入侵变化特征

长江口、钱塘江口和珠江口是受咸潮影响较为严重的区域。本文利用全国沿海海平面变化影响调查、沿海水文观测等数据,分析了近十年长江口、珠江口和钱塘江口咸潮入侵的变化特征及影响。分析结果表明:(1) 2009-2018年,长江口咸潮入侵次数和持续时间均呈减少趋势,该时段长江口共监测到约48次咸潮入侵过程,发生时间集中在9-10月至翌年5月,其中3月和11月入侵次数较多,分别为12次和7次。(2)钱塘江口咸潮入侵过程受沿海季节性海平面影响显著,12月至翌年3月为钱塘江口季节性低海平面期,4-7月上旬径流量较大,上述两个时期钱塘江口受咸潮入侵的影响均较小,7月下旬至11月上旬,钱塘江口处于季节性高海平面期,是咸潮影响的集中时段。(3) 2009-2018年,珠江口共监测到约57次咸潮入侵过程,发生时间集中在9-10月至翌年3-4月,其中1月、2月和10月咸潮入侵次数较多,均超过10次,2015年至今咸潮持续时间明显增加。(4)咸潮入侵次数和持续时间与基础海面和径流量等密切相关,咸潮入侵影响三大河口沿线水厂供水以及工农业生产取水,给沿岸城市的居民生活、工农业生产和渔业养殖等造成一定不利影响。     

ICESat-2激光卫星与光学遥感影像融合水深测量

针对浅海测深的数据特点和应用需求,以我国南海甘泉岛为例,研究了利用ICESat-2(Ice,Cloud,and Land Elevation Satellite-2)激光卫星数据和光学遥感影像开展主被动融合水深测量的方法。首先通过信号点提取、水面/水底识别、水下点折射改正等步骤处理ICESat-2数据,获得水深值,随后以激光点作为控制,计算光学水深反演模型参数,最后由点及面地获取大范围高精度水深。实验表明,甘泉岛区域主被动融合测深中误差优于1.30m,基于激光卫星数据的主被动融合测深方法能够为浅水水深测量提供新手段。     

中国南海北部珠江口-琼东南盆地钻井岩屑地球化学特征及深水区天然气聚集特征

The Qiongdongnan Basin and Zhujiang River(Pearl River) Mouth Basin, important petroliferous basins in the northern South China Sea, contain abundant oil and gas resource. In this study, on basis of discussing impact of oil-base mud on TOC content and Rock-Eval parameters of cutting shale samples, the authors did comprehensive analysis of source rock quality, thermal evolution and control effect of source rock in gas accumulation of the Qiongdongnan and the Zhujiang River Mouth Basins. The contrast analysis of TOC contents and Rock-Eval parameters before and after extraction for cutting shale samples indicates that except for a weaker impact on Rock-Eval parameter S_2, oil-base mud has certain impact on Rock-Eval S_1, Tmax and TOC contents. When concerning oil-base mud influence on source rock geochemistry parameters, the shales in the Yacheng/Enping,Lingshui/Zhuhai and Sanya/Zhuhai Formations have mainly Type Ⅱ and Ⅲ organic matter with better gas potential and oil potential. The thermal evolution analysis suggests that the depth interval of the oil window is between 3 000 m and 5 000 m. Source rocks in the deepwater area have generated abundant gas mainly due to the late stage of the oil window and the high-supper mature stage. Gas reservoir formation condition analysis made clear that the source rock is the primary factor and fault is a necessary condition for gas accumulation. Spatial coupling of source, fault and reservoir is essential for gas accumulation and the inside of hydrocarbon-generating sag is future potential gas exploration area.     

西太平洋深海海水中乙醛降解菌多样性及群落结构研究

As a major aldehyde pollutant widely existing in industry and our daily life, acetaldehyde is more and more harmful to human health. As characteristic habitat niche, bacteria from deep sea environments are abundant and distinctive in heredity, physiology and ecological functions. Thus, the development of acetaldehyde-degrading bacteria from deep sea provides a new method to harness acetaldehyde pollutant. Firstly, in this study,acetaldehyde-degrading bacteria in the deep sea water of the West Pacific Ocean were enriched in situ and in the laboratory respectively, and then the diversity of uncultured bacteria was studied by using 16 S r RNA genes. Then acetaldehyde-degrading strains were isolated from two samples, including enrichment in situ and enrichment in laboratory samples of deep sea water from the West Pacific Ocean using acetaldehyde as the sole carbon source,and then the ability of acetaldehyde degradation was detected. Our results showed that the main uncultured bacteria of two samples with different enrichment approaches were similar, including Proteobacteria,Actinobacteria, Firmicutes, Cyanobacteria, but the structure of bacterial community were significant different.Four subgroups, α, γ, δ and ε, were found in Proteobacteria group. The γ-Proteobacteria was dominant(63.5%clones in laboratory enriched sample, 75% clones in situ enriched sample). The species belonged to γ-Proteobacteria and their proportion was nearly identical between the two enrichment samples, and Vibrio was the predominant genus(45% in laboratory enriched sample, 48.5% in situ enriched sample), followed by Halomonas(9% in situ enriched sample) and Streptococcus(6% in laboratory enriched sample). A total of 12 acetaldehyde-degrading strains were isolated from the two samples, which belonged to Vibrio, Halomonas,Pseudoalteromonas, Pseudomonas and Bacillus of γ-Proteobacteria. Strains ACH-L-5, ACH-L-8 and ACH-S-12,belonging to Vibrio and Halomonas, have strong ability of acetaldehyde degradation, which could tolerate 1.5 g/L acetaldehyde and degrade 350 mg/L acetaldehyde within 24 hours. Our results indicated that bacteria of γ-Proteobacteria may play an important role in carbon cycle of deep sea environments, especial the bacteria belonging to Vibrio and Halomonas and these strains was suggested for their potentials in government of aldehyde pollutants.     

Enhanced a novel β-agarase production in recombinant Escherichia coli BL21(DE3) through induction mode optimization and glycerol feeding strategy

Agarases are hydrolytic enzymes that act on the hydrolysis of agar and have a broad range of applications in food,cosmetics and pharmaceutical industries. In this study, a glycerol feeding strategy based on induction mode optimization for high cell density and β-agarase production was established, which could effectively control acetate yield. First, exponential feeding strategy of glycerol with different overall specific growth rates(μ) was applied in the pre-induction phase. The results showed that the low μ(μ=0.2) was suggested to be the optimal for cell growth and β-agarase production. Second, the effects of induction temperature and the inducer concentration on cell growth and β-agarase production were investigated in the post-induction phase. When induced by isopropyl-β-d-thiogalactoside(IPTG), the strategy of 0.8 mmol/L IPTG induction at 20℃ was found to be optimal for β-agarase production. When cultivation was induced by continuous lactose feeding strategy of 1.0 g/(L·h), the β-agarase activity reached 112.5 U/mL, which represented the highest β-agarase production to date.Furthermore, the β-agarase was capable of degrading G. lemaneiformis powder directly to produce neoagarooligosaccharide, and the hydrolysates were neoagarotetraose(NA4) and neoagarohexaose(NA6). The overall research may be useful for the industrial production and application of β-agarase.     

基于Hadoop的地理国情监测高性能计算分析研究

随着常态化地理国情监测在我国的全面开展,地理国情时空数据规模不断增大,使得对地理国情数据综合分析和信息挖掘的要求越来越高。本文针对传统空间数据存储和分析平台存在的性能瓶颈问题,提出了一种基于Hadoop的地理国情高性能计算框架,论述了通过服务封装实现分布式并行计算能力与成熟平台地理空间分析能力的无缝聚合实现最优化地理国情分析计算的理念,并以地理国情地表覆盖面积统计为例,探讨了分布式计算技术在地理国情海量数据分析方面的适用性。结果表明,随着数据量的增加,分布式计算集群的性能优势逐渐凸显,比传统集中式空间数据库更适合于海量数据的分析计算,而集群的良好横向拓展性,也为大规模地理国情空间数据分析提供了可行解决方案,研究结果将为进一步构建开放性地理国情分析服务平台奠定基础。     

中国省域煤矿事故时空分异特征及影响因素研究

煤矿事故给国家和人民带来巨大的生命财产损失,科学把握煤矿事故发生的宏观规律及区域煤矿安全的影响因素有助于促进煤矿安全生产。本文尝试采用GIS空间分析方法开展区域煤矿事故的研究,基于空间自相关性、时空演化规律方法研究了2006-2015年中国省域煤矿事故的时空分异特点,并分析了省域煤矿安全的影响因素及相对风险度。主要结论：①中国各省区之间煤矿事故存在明显的空间自相关性,但随着各省区煤矿安全生产形势改善情况的不同,其自相关性在不断下降;②以空间重心转移曲线分析中国煤矿事故发生的时空演化规律,10年间煤矿事故空间重心向东北方向转移。③重特大事故频发的省区由于监管措施的有力执行往往具有较低的煤矿百万吨死亡率;平均煤矿生产能力低的省区具有较高的煤矿百万吨死亡率;④建立基于解释变量的贝叶斯空间模型,以煤炭百万吨死亡率为指标评估中国各省区煤矿事故相对风险度,中国煤矿安全生产相对危险度存在明显的空间分布规律且各省区差异较大,相对危险度较高的省区主要集中在南方地区,包括湖北、福建等,危险度较低的省区主要集中在中东部地区,包括山西、内蒙古等。     

基于迁移学习方法的山东冷云冰晶特征分布研究

为分析冷云中冰晶的分布特征,揭示冰晶增长演变机制,根据冰晶形状和尺度特征分为8类并进行标注,同时标注1类隔断栏进行数据质量控制,将9类标签图像整合并建立图像集,利用迁移学习VGGNet16方法进行识别训练,经训练模型分类准确率达98%。将模型应用到秋季冷云冰晶特征研究中,选取3次积层混合云和3次层状云降水过程,分析冰晶形状在不同温度区间的占比及冰晶谱变化特征,结果表明,温度通过影响冰晶基面与棱面的比值来决定冰晶初始形状分布,相同温度区间积层混合云内球状冰晶和线型冰晶占比高于层状云,低于-12℃后各类冰晶占比相对固定;积层混合云内线型冰晶直径集中在300~800 μm,冰晶谱呈多峰分布,聚合体直径大于600 μm,冰晶谱首尾两端浓度相当,球状冰晶直径集中在120～300 μm,冰晶谱呈单调下降趋势。     

基于印度洋海温信号的我国西北地区东部夏季降水组合降尺度预测方法研究

利用国家气候中心第二代气候模式预测业务系统(BCC-CPSv2)预测产品,引入印度洋海温信号,采用组合降尺度方法建立了西北地区东部汛期降水预测模型。该预测模型对1991—2017年西北地区东部夏季降水的回报技巧较BCC-CPSv2预测技巧显著提高,空间相关系数由0.42提高到0.75,均方根误差明显减小,最多下降达80%。预测模型对降水空间分布型的预测能力较好,很好地回报了典型年份（1987年和2010年）夏季的降水距平百分率分布。通过抓住气象变量的空间分布特征,组合降尺度方法可以修正动力模式产品的预测误差,为西北地区东部夏季降水预测提供科学依据和技术支持,具有较好的应用前景。