南海三沙永乐龙洞古菌群落结构与多样性特征

海洋蓝洞作为一种独特的海洋地貌单元,洞内的生物群落结构与生态系统特征一直是国内外同行学者关注的热点问题之一。南海三沙永乐龙洞是世界上最深的海洋蓝洞(300m),其独特的生态特征更为引入瞩目。本研究以古菌16S rRNA基因序列为目标,采用Illumina高通量测序技术对西沙永乐龙洞内水体与沉积物中的古菌群落结构进行了研究。结果表明,本研究所获得的古菌类群可归为4门、21纲、29目、42科、45属,广古菌和奇古菌是丰度最高的两种古菌。龙洞内表层水体中古菌群落多样性与洞外水体相差不大,但随深度增加,洞内古菌群落多样性显著降低,深水层古菌群落结构与浅水层差异显著。龙洞内沉积物中的古菌生存环境与水体差异巨大,为大量特殊物种提供了生存空间。侧壁沉积物中的古菌群落多样性随深度增加显著降低,而150m平台处古菌群落多样性则远高于侧壁沉积物。水温对龙洞内水体中的古菌群落结构具有显著影响(P0.01)。研究结果显示永乐龙洞古菌群落有很高的多样性,其垂向分布与洞内环境多要素的变化密切相关。本研究对认识三沙永乐龙洞内的生态系统特征有显著意义。     

Recent satellite-derived sea ice volume flux through the Fram Strait: 2011–2015

The Fram Strait(FS) is the primary region of sea ice export from the Arctic Ocean and thus plays an important role in regulating the amount of sea ice and fresh water entering the North Atlantic seas. A 5 a(2011–2015) sea ice thickness record retrieved from Cryo Sat-2 observations is used to derive a sea ice volume flux via the FS. Over this period, a mean winter accumulative volume flux(WAVF) based on sea ice drift data derived from passivemicrowave measurements, which are provided by the National Snow and Ice Data Center(NSIDC) and the Institut Francais de Recherche pour d'Exploitation de la Mer(IFREMER), amounts to 1 029 km~3(NSIDC) and1 463 km~3(IFREMER), respectively. For this period, a mean monthly volume flux(area flux) difference between the estimates derived from the NSIDC and IFREMER drift data is –62 km~3 per month(–18×10~6 km~2 per month).Analysis reveals that this negative bias is mainly attributable to faster IFREMER drift speeds in comparison with slower NSIDC drift data. NSIDC-based sea ice volume flux estimates are compared with the results from the University of Bremen(UB), and the two products agree relatively well with a mean monthly bias of(5.7±45.9) km~3 per month for the period from January 2011 to August 2013. IFREMER-based volume flux is also in good agreement with previous results of the 1990 s. Compared with P1(1990/1991–1993/1994) and P2(2003/2004–2007/2008), the WAVF estimates indicate a decline of more than 600 km~3 in P3(2011/2012–2014/2015). Over the three periods, the variability and the decline in the sea ice volume flux are mainly attributable to sea ice motion changes, and second to sea ice thickness changes, and the least to sea ice concentration variations.     

琼东南盆地深水区钻井岩屑稀土元素地球化学特征及其对沉积物源和环境的指示

对琼东南盆地深水区YL19A钻井岩屑样品进行了稀土元素(REE)地球化学特征分析,旨在研究琼东南盆地深水区的沉积物源及古环境变化。钻井岩屑样品的球粒陨石标准化REE配分模式总体呈轻稀土(LREE)富集、重稀土(HREE)亏损的右倾式,但在各时代地层之间表现出一定的差异。崖城组和陵水组岩屑呈明显的Eu正异常,而梅山组、三亚组和黄流组岩屑呈Eu的弱负异常,指示了沉积环境和沉积物源上的变化。在早渐新世时期,研究区物源以来自周边凸起的火山碎屑和陆源碎屑为主,沉积环境为海陆过渡相;自渐新世晚期开始,随着琼东南盆地全区发生海侵,研究区水深逐渐加大,沉积环境由海陆过渡相变为浅海相,物源变为远源陆源物质,并具有红河与海南岛多物源混合的特征,红河沉积物对物源的贡献相对较大,基性火山物质对物源的贡献减弱。YL19A钻井岩屑的REE地球化学特征在距今30、28.5、25.5和23.8Ma等地层界面处均发生明显的突变,对区域性构造运动事件有明显的响应。     

基于熵值-突变级数法的环渤海地区海洋生态环境承载力评价及障碍因子诊断

随着对海洋开发力度的不断加大,海洋生态环境问题日益突出,已成为中国海洋可持续发展的制约因素。作为衡量海洋可持续发展的主要手段之一,海洋生态环境承载力的定量化评价是必不可少的重要环节。针对海洋生态环境承载力的突变特性,基于熵值-突变级数法,从压力和承压两方面构建海洋生态环境承载力评价指标体系,结合障碍因子诊断模型,考量环渤海地区4个省市2006-2014年的海洋生态环境承载力的空间差异和时序特征,剖析影响承载力发展水平的主要障碍因子。研究表明:环渤海地区2006-2014年海洋生态环境承载能力整体较差,承载力水平呈下降趋势;2014年海洋生态环境承载强度分为两类,山东和天津为较弱承载力水平,河北和辽宁为弱承载力水平;生态弹性小、环境污染重、生态资源匮乏已成为制约环渤海海洋生态环境承载力发展水平的普遍问题。     

一个大型的古河流-三角洲沉积体系——论苏皖中-上三叠统黄马青组沉积环境

通过对苏皖地区黄马青组的学特征及其积学研究,确认其为发育于前陆盆地内的大型海退河流－三角洲沉积体系。根据岩石成因类型划分了８个微相,并对其所反映的沉积环境进行了分析。整个层序自下而上可分为前三角洲,一角洲前缘及三角洲平原３个亚环境,并对亚环境内的微环境进行了讨论。     

紫菜总DNA酶切带型的发现与比较

在条斑紫菜与坛紫菜总ＤＮＡ酶切图谱上有明显的ＤＮＡ型带,且ＨａｅＩＩＩ酶发带型经ＥｃｏｒＩ、ＰｓｔＩ的酶切带型清晰。在ＥｃｏＲＩ、ＰｓｔＩ及ＨａｅＩＩＩ三种酶切图谱上,两种紫菜的ＤＮＡ带型明显不同,且很容易发现条斑紫菜或坛紫菜特有的条带,总ＤＮＡ带型具有种的特异性。结果表明总ＤＮＡ带型是一种容易建立又稳定可靠的紫菜分子分类的新型标记。     

硫铁矿烧渣制备铁系化工产品研究方法综述

硫铁矿烧渣是一种二次资源,对其综合利用正引起广泛重视。目前烧渣的利用主要是围绕着铁系化工产品:铁盐(制取硫酸亚铁、二氯化铁),铁系颜料(制取氧化铁红、氧化铁黄、氧化铁黑),铁氧体材料——高纯磁性氧化铁,净水剂(生产聚合硫酸铁及复合净水剂)。今后,探索硫铁矿烧渣更好的综合利用,将会成为研究热点,这依赖于硫铁矿烧渣浸液中高效除杂剂的筛选和合理的除杂工艺。     

基于PMC方法的上海测震台网地震监测能力评估

采用基于概率的完整性震级（PMC）方法,选取上海测震台网13个地震台站及周边省市地震台2008-2019年记录的171个地震,计算各地震台及上海测震台网地震监测能力,并模拟增加新的地震台站后台网监测能力的变化。结果显示：①地表基岩台的监测能力较深井台强,且受噪声和地铁影响,市区深井台监测能力较低;②整体上,台站密布的松江和青浦地区,地震监测能力较强,最小完整性震级为M_L 0.7。台站稀疏的浦东、奉贤、崇明地区,地震监测能力较弱,最小完整性震级为M_L 1.3;③若在上海南部增设奉贤海湾台,可整体提高上海测震台网的监测能力。     

EFFECT OF TSUNAMIS GENERATED IN THE MANILA TRENCH ON CHINA MAINLAND

Tsunami is one of the most devastating natural coastal disasters. Most of large tsunamis are generated by submarine earthquakes occurring in subduction zones. Tsunamis can also be triggered by volcano eruptions and large landslides. There are many records about "sea-overflow" in Chinese ancient books, which are not proved to be tsunamis. Tectonics and historical records analysis are import to forecast and prevention of tsunami. Consider the tectonic environment of the China sea, the possibility of huge damage caused by the offshore tsunami is very small. And the impact of the ocean tsunami on the Bohai sea, the Yellow sea, and the East China sea is also small. But in the South China Sea, the Manila subduction zone has been identified as a high hazardous tsunamigenic earthquake source region. No earthquake larger than M_W7.6 has been recorded in the past 100a in this region, suggesting a high probability for larger earthquakes in the future. If a tsunamigenic earthquake were to occur in this region in the near future, a tragedy with the magnitude similar to the 2004 Indian Ocean tsunami could repeat itself. In this paper, based on tectonics and historical records analysis, we have demonstrated that potential for a strong future earthquake along the Manila subduction zone is real. Using a numerical model, we have also shown that most countries in the South China Sea will be affected by the tsunamis generated by the future earthquake. For China, it implies that the maximum wave height over 4.0 meter on China mainland, especially the Pearl River Estuary. But the island, local relief maybe influence the maximum wave. But it takes nearly 3 hours to attack China mainland, if there is the operational tsunami warning system in place in this region, should be greatly reduced losses. And the simulated results are conformable to historical records. It indicates that the tsunami hazards from Manila trench to China mainland worthy of our attention and prevention.     

大亚湾西南海域尖笔帽螺2020年7月暴发期内的分布特征

尖笔帽螺是一种分布广泛的翼足类生物,在食物网与生物地球化学循环中起着重要作用。2020年7月,大亚湾出现高密度尖笔帽螺,给当地生态安全带来潜在风险。文章利用浮游生物成像仪（PlanktonScope）,以定点的方式对大亚湾西南海域的环境因子与尖笔帽螺密度进行采样,并对大亚湾高密度尖笔帽螺的分布特征进行研究。结果显示：在水平方向上,尖笔帽螺主要分布于西部湾口及长湾附近海域,其他海域分布相对较少;在垂向上,尖笔帽螺多分布于高温低盐的表层,低温高盐的下层水体分布较少;体长分布方面,湾口西部及其北侧海域尖笔帽螺体长较长,小辣甲西侧、北侧海域尖笔帽螺体长偏短,湾口中部海域体长远小于其他区域。通过分析结果发现,此次大亚湾湾内高密度尖笔帽螺存在随外海海流输入的可能;温盐分布结果表明,尖笔帽螺多出现在海水表层,其垂直分布可能也受海水分层及海流的影响。通过对尖笔帽螺分布特征的归纳与讨论,可以为后续该种生物的进一步溯源提供参考。