多能互补海洋能集成发电技术研究综述

介绍了国内外基于风能、太阳能、波浪能和潮流能等海上可再生能源进行多能互补集成发电的研究发展情况,从不同技术研究侧重点、不同装置机理差异性和多能互补集成发电方式等方面进行了概括和综述,对已有设备和理论研究等进行了对比,评述了目前海洋多能互补集成发电技术研究中存在的主要问题以及未来的研究发展趋势,指出未来海洋能源集成发电需在离岸化、新材料、大型化和阵列布局等方面进行技术研究和攻关。     

HY-2B卫星散射计海面风场产品质量分析 *

星载微波散射计是获取全球海面风场信息的主要手段, HY-2B卫星散射计的成功发射为全球海面风场数据获取的持续性提供了重要保障。本文利用欧洲中期天气预报中心(European Center for Medium-Range Weather Forecasts, ECMWF)再分析风场数据、热带大气海洋观测计划(Tropical Atmosphere Ocean Array, TAO)和美国国家数据浮标中心(National Data Buoy Center, NDBC)浮标获取的海面风矢量实测数据, 对HY-2B散射计海面风场数据产品的质量进行统计分析。分析表明, HY-2B风场与ECMWF再分析风场对比, 在4~24m·s^-1风速区间内, 风速和风向均方根误差(root mean square error, RMSE)分别为1.58m·s^-1和15.34°; 与位于开阔海域的TAO浮标数据对比, 风速、风向RMSE分别为1.03m·s^-1和14.98°, 可见HY-2B风场能较好地满足业务化应用的精度要求(风速优于2m·s^-1, 风向优于20°)。与主要位于近海海域的NDBC浮标对比, HY-2B风场的风速、风向RMSE分别为1.60m·s^-1和19.14°, 说明HY-2B散射计同时具备了对近海海域风场的良好观测能力。本文还发现HY-2B风场质量会随风速、地面交轨位置等变化, 为用户更好地使用HY-2B风场产品提供参考。     

海洋极端环境微生物活动与油气资源关系

为了弄清海洋极端环境下微生物参与油气资源形成和演化的潜在机制, 进行了现代海洋热泉和冷泉等环境中微生物类型分析和生物量估算, 探讨了极端微生物活动和油气资源的潜在关系.认为海洋极端环境下微生物类型主要为细菌和古细菌, 热泉微生物群落主要为异养发酵菌、硫酸盐还原菌、产甲烷菌等; 冷泉微生物群落主要为ANME-2族的厌氧甲烷氧化古细菌、硫酸盐还原细菌和ANME-1族厌氧甲烷氧化古菌.这些极端微生物利用CH₄和H₂S等气体进行能量固定, 有较高的生物丰度和较低的分异度, 具有垂向和水平分带性, 并能营生一套独特的宏体生物.极端微生物活动直接和间接地参与了油气资源的形成和改造, 示踪海底油气资源的变迁.对于探索地球早期海洋微生物活动与油气资源形成, 寻找地史时期或华南地史早期烃源岩具有重要理论和实践指导意义.      

A note on the role of meridional wind stress anomalies and heat flux in ENSO simulations

Four comparative experiments and some supplementary experiments were conducted to examine the role of meridional wind stress anomalies and heat flux variability in ENSO simulations by using a high-resolution Ocean General Circulation Model （OGCM）. The results indicate that changes in the direction and magnitude of meridional wind stress anomalies have little influence on ENSO simulations until meridional wind stress anomalies are unrealistically enlarged by a factor of 5.0. However, evidence of an impact on ENSO simulations due to heat flux variability was found. The simulated Nino-3 index without the effect of heat flux anomalies tended to be around 1.0° lower than the observed, as well as the control run, during the peak months of ENSO events.     

Ancient and modern cold-climate aeolian sand deposition: A review

Although partly active aeolian sand sheets and dunes cover large areas in the zones of (dis)continuous permafrost, little precise information is available about the influence of cold-climate conditions on modern aeolian processes. This means that palaeoenvironmental reconstructions in the stabilised, mainly Late Pleistocene dune fields and cover sand regions in the ‘sand belts’ of the European Lowlands and the Northern Great Plains of the USA and Canada, are necessarily still based on ancient evidence. Cold-climate wind deposits are typically derived from areas of abundant sediment supply like unvegetated flood plains, glacial outwash plains, till plains and lake shores. The common parabolic and transverse dune forms resemble those observed in temperate regions. Although a variety of periglacial features has been identified in Late Pleistocene dune and cover sands none of them indicate that permafrost is crucial to aeolian activity. Specific structures in aeolian strata permit tentative interpretation of the moisture content of depositional sand surfaces, the nature of annual sedimentation cycles and the processes by which strata were deposited and/or contorted. But surprisingly little is known about the role of vegetation in the process of sand accumulation. Dunes are most informative with respect to reconstructions of past wind regimes, which offer important data for verification of palaeoclimatic simulations.     

基于LSTM的海洋表面短期风速预测研究

为实现对海面风速精确的短期预测,提出了一种基于长短期记忆(LSTM,longshort-termmemory)神经网络的短期风速预测模型,选取OceanSITES数据库中单个浮标站点采集的风速历史数据作为模型输入,经过训练设置最佳参数等步骤,实现了以LSTM方法,对该站点所在海区海面风速在各季节性代表月份海面风速的24 h短期预测。同时通过不同预测时长的实验以及与BP(back propagation)神经网络神经网络和径向基函数神经网络(radialbasisfunctionneuralnetwork,RBF)的预测效果对比实验,证明了LSTM预测方法相比上述两种神经网络预测方法,在海表面风速预测应用中的优越性。最后通过多个海域对应的站点风速数据预测实验,证明了LSTM神经网络模型的普遍适用性,由相关系数和预测误差的分析可知该方法具备应对急剧变化数据的预测稳定性,可以作为海洋表面风速短期预测的一种可靠方法。     

外热带大气扰动对ENSO的影响

合成分析了20世纪80年代以来5次主要的ENSO事件,发现外热带大气扰动通过经向风异常不仅对ENSO的发生起到重要的触发作用,而且影响到ENSO的发展和衰减. 因此,尽管ENSO对外热带大气扰动有影响,但同时外热带大气扰动又与ENSO有相互作用. 在ENSO发生前,南印度洋中纬度为反气旋异常,并通过Rossby波的频散作用加强了澳大利亚附近的反气旋异常;同时,澳大利亚东部沿海的南风异常与菲律宾附近的北风异常在赤道辐合,促进了赤道西太平洋西风异常的爆发和其后ENSO的发生. 在ENSO发生之后,东南太平洋上的气旋异常及相关的南风异常进一步增强了赤道中东太平洋的西风异常和ENSO的发展. 当ENSO达到成熟时,澳大利亚东部的反气旋异常东移,使东南太平洋的气旋异常减弱,南方涛动型环流异常亦随之减弱;同时,阿留申气旋异常加强,尤其是副热带北太平洋的风场异常可加强赤道中东太平洋海水的涌升,使该地区海表温度降低,加速ENSO的消亡.     

From China’s Heavy Precipitation in 2020 to a “Glocal” Hydrometeorological Solution for Flood Risk Prediction

The prolonged mei-yu/baiu system with anomalous precipitation in the year 2020 has swollen many rivers and lakes,caused flash flooding,urban flooding and landslides,and consistently wreaked havoc across large swathes of China,particularly in the Yangtze River basin.Significant precipitation and flooding anomalies have already been seen in magnitude and extension so far this year,which have been exerting much higher pressure on emergency responses in flood control and mitigation than in other years,even though a rainy season with multiple ongoing serious flood events in different provinces is not that uncommon in China.Instead of delving into the causes of the uniqueness of this year’s extreme precipitation-flooding situation,which certainly warrants in-depth exploration,in this article we provide a short view toward a more general hydrometeorological solution to this annual nationwide problem.A“glocal”(global to local)hydrometeorological solution for floods(GHS-F)is considered to be critical for better preparedness,mitigation,and management of different types of significant precipitation-caused flooding,which happen extensively almost every year in many countries such as China,India and the United States.Such a GHS-F model is necessary from both scientific and operational perspectives,with the strength in providing spatially consistent flood definitions and spatially distributed flood risk classification considering the heterogeneity in vulnerability and resilience across the entire domain.Priorities in the development of such a GHS-F are suggested,emphasizing the user’s requirements and needs according to practical experiences with various flood response agencies.     

2016年中国沿海海平面上升显著成因分析及影响

使用中国沿海及西北太平洋区域的水位、海温、气温、气压和风等水文气象资料,详细分析了2016年中国沿海海平面显著升高的成因及影响。分析结果表明:（1）2012-2016年,中国沿海海平面处于准2 a、4 a、准9 a和准19 a周期振荡的高位,几个周期振荡高位叠加,对该时段海平面上升起了一定的作用;（2）2016年,中国沿海气温和海温较1993-2011年的平均值分别高0.7℃与0.5℃,均处于1980年以来高位;气压较1993-2011年的平均值低0.2 hPa;（3）2016年4月、9月、10月和11月,中国沿海海平面均达到1980年以来同期高位,这4个月的风场距平值在东海以南均明显偏大,且以偏南向和向岸风为主,风生流使得海水向岸堆积,沿海长时间以增水为主,对当月局部海平面上升的贡献率达到40%~80%;（4）2016年,中国沿海降水总体偏多,局部区域降水量达到历史同期最高,加上沿海径流量的增加,对沿海局部海平面升高有一定贡献;（5）2016年9-10月,有5个台风相继影响我国南部沿海,持续的风暴潮增水导致台风影响期间的海平面高于当月平均海平面70~360 mm,风暴潮和洪涝灾害给当地造成直接经济损失超过30亿元。     

风和径流量对长江口缺氧影响的数值模拟

受自然和人类活动的影响,海洋缺氧现象日益严重,威胁着海洋生态环境,海洋缺氧问题已经引起了人们的广泛关注。本文应用区域海洋模式并耦合生态模式,对东海的生态系统进行了数值模拟和分析研究。与观测数据比较显示,该模型能较好地模拟长江口外生态变量的分布趋势。另外本文通过设置不同敏感性实验,探讨风和径流量对长江口底层缺氧现象的影响,结果分析表明,风和径流量对长江口外缺氧区的形成有显著的影响。径流量变化虽然对长江口外缺氧区的季节变化影响并不显著,但是对缺氧区域面积却存在显著的影响。径流量增加,水体层化增强,表层叶绿素浓度增加,最终导致缺氧区域范围扩展;径流量减小,水体层化减弱,表层叶绿素浓度减小,缺氧区域范围缩小。风向和风速的改变不仅影响长江口外缺氧区的季节变化,还影响缺氧区域面积。