偏光显微镜聚敛光系统光路分析

通过实验和计算，文章证明了勃氏镜进入显微光路后，可使整个显微镜系统变成望远系统，望远系统接收平行光信号，形成干涉图或偏光图像，而显微系统接收非平行光信号形成矿物像，文章不仅对偏光图和干涉图在显微镜筒中的光路变化及成像机理进行了深入讨论，并且对如何保持干涉图和偏光图像清晰提出了调试意见。     

Recent Progress in the Impact of the Tibetan Plateau on Climate in China

Studies of the impacts of the Tibetan Plateau （TP） on climate in China in the last four years are reviewed. It is reported that temperature and precipitation over the TP have increased during recent decades. From satellite data analysis, it is demonstrated that most of the precipitation over the TP is from deep convection clouds. Moreover, the huge TP mechanical forcing and extraordinary elevated thermal forcing impose remarkable impacts upon local circulation and global climate. In winter and spring, stream flow is deflected by a large obstacle and appears as an asymmetric dipole, making East Asia much colder than mid Asia in winter and forming persistent rainfall in late winter and early spring over South China. In late spring, TP heating contributes to the establishment and intensification of the South Asian high and the abrupt seasonal transition of the surrounding circulations. In summer, TP heating in conjunction with the TP air pump cause the deviating stream field to resemble a cyclonic spiral, converging towards and rising over the TP. Therefore, the prominent Asian monsoon climate over East Asia and the dry climate over mid Asia in summer are forced by both TP local forcing and Eurasian continental forcing.
Due to the longer memory of snow and soil moisture, the TP thermal status both in summer and in late winter and spring can influence the variation of Eastern Asian summer rainfall. A combined index using both snow cover over the TP and the ENSO index in winter shows a better seasonal forecast.
On the other hand, strong sensible heating over the Tibetan Plateau in spring contributes significantly to anchor the earliest Asian monsoon being over the eastern Bay of Bengal （BOB） and the western Indochina peninsula. Qualitative prediction of the BOB monsoon onset was attempted by using the sign of meridional temperature gradient in March in the upper troposphere, or at 400 hPa over the TP. It is also demonstrated by a numerical experiment and theoretical study that the heating over the TP lea     

基于规则格网数据断面极值法的一种改进方法

在研究基于规则格网数据地形特征提取过程中,主要有断面极值法和流水模拟法.在断面极值法中,针对传统断面极值法生成的特征线存在零碎、并行交叉等缺点,我们改进了传统的局部断面极值法,在特征线连接过程中增加了“将特征点邻域内其它候选特征点设置为已被引用、根据特征线长度与范围阈值筛选特征线“等条件,以克服生成的特征线存在的零碎和并行交叉问题.     

滇池福保湾间隙水氮磷分布及其与底泥微生物和磷酸酶相互关系

在滇池福保湾不同区域应用Peeper(渗析膜式)技术,分析了底泥间隙水NH4 -N、Po43--p的垂向分布特征和近表层10cm内底泥的微生物活性(FDA)、碱性磷酸酶活性(APA),并对它们之间的相互关系进行了统计分析.结果表明,NH4 -N和Po43--p浓度自上覆水向下层间隙水呈先升后降趋势,反映它们有自间隙水向上覆水扩散的潜在危害;底泥有机质(Loss-on-Ignion,LOI)、APA和FDA活性也有从表层底泥向下层逐步降低的趋势.在空问分布上,Po43--p浓度变化为河口区>湾心区>西部沿岸区>东部沿岸区,与沉积物中LOI、APA和FDA活性的大小顺序基本相同.间隙水NH4 6-N浓度与表层10cm内底泥的APA和FDA活性具有显著正相关性(α＝0.01).Po43--p浓度与底泥APA和FDA活性具有负相关性.但相关系数很低.     

河北坝上沙漠化土地综合整治优化模式

本文通过对河北丰宁坝上大滩村农业系统的环境条件、发展历史、结构现状及功能等的分析，针对存在的问题，提出了综合调整系统结构、提高系统功能的原则、对策及整治途径，建立了系统的优化模式并进行了效益分析。     

Study on the relationship between speciation of heavy metals and their ecotoxicity

Heavy metal is a main pollutant in the marine ecosystem, so study on the effect of heavy metal on phytoplankton is important. Algae (Chaetoceros sp.,Dunaliella sp.,Dicrateria zhanjiangenis Hu. var. sp.) were laboratory cultured to observe the effect of heavy metals on their growth. The effect of different metal ion concentration, the detoxication effect of complexation agents and the growth of algae in different media and different nutrition levels were studied to evaluate the effect of metal speciation. It is proved that trace amount of heavy metals can stimulate the growth of algae cells but that high concentration is lethal. The sequence of toxicity is Cd²⁺>Zn²⁺>Pb²⁺. In ordinary nutrition conditions, the detoxication sequence of complexation agents toChaetoceros sp. is EDTA >sodium salicylate>sodium oxalate >sodium citrate>sulfanilic acid>O-phenanthroline. This is in good conformity with the stability constant sequence of these agents with copper and good evidence that toxicity of metal ion is related to its activity and not to its total concentration. Project supported by the Fund of Excellent Young Teachers of State Educational Commission of China.     

Multi-step ahead short-term predictions of storm surge level using CNN and LSTM network

Storm surges pose significant danger and havoc to the coastal residents' safety, property, and lives, particularly at offshore locations with shallow water levels. Predictions of storm surges with hours of warning time are important for evacuation measures in low-lying regions and coastal management plans. In addition to experienced predictions and numerical models, artificial intelligence (AI) techniques are also being used widely for short-term storm surge prediction owing to their merits in good level of prediction accuracy and rapid computations. Convolutional neural network (CNN) and long short-term memory (LSTM) are two of the most important models among AI techniques. However, they have been scarcely utilised for surge level (SL) forecasting, and combinations of the two models are even rarer. This study applied CNN and LSTM both individually and in combination towards multi-step ahead short-term storm surge level prediction using observed SL and wind information. The architectures of the CNN, LSTM, and two sequential techniques of combining the models (LSTM–CNN and CNN–LSTM) were constructed via a trial-and-error approach and knowledge obtained from previous studies. As a case study, 11 a of hourly observed SL and wind data of the Xiuying Station, Hainan Province, China, were organised as inputs for training to verify the feasibility and superiority of the proposed models. The results show that CNN and LSTM had evident advantages over support vector regression (SVR) and multilayer perceptron (MLP), and the combined models outperformed the individual models (CNN and LSTM), mostly by 4％–6％. However, on comparing the model computed predictions during two severe typhoons that resulted in extreme storm surges, the accuracy was found to improve by over 10％ at all forecasting steps.     

北黄海温盐分布季节变化特征分析

利用2006～2007年夏冬春秋4个季节北黄海的大面调查资料,分析了4个季节北黄海温度和盐度大面以及典型断面分布特征,得出以下结论:2007年冷水团势力范围强于2006年,北黄海冷水团的形成受地形影响.黄海暖流冬春季较强,冬季最强,夏季最弱,秋季开始形成.鲁北沿岸流冬季最强,春季减弱,夏秋季消失,但夏季鲁北沿岸存在冬季鲁北沿岸流水的残余体,即鲁北沿岸水.辽南沿岸水4个季节都以低盐为特征,除夏季低盐中心位于庄河口外,其它3个季节低盐中心均位于调查区域的东北角.渤海与北黄海之间的水交换4个季节都存在.春季,断面盐跃层形成滞后于温跃层;秋季,断面盐跃层消失滞后于温跃层.     

新一代区域海-气-浪耦合台风预报系统

依托国家重点基础研究（973）计划项目"上层海洋对台风的响应和调制机理研究",中国气象局上海台风研究所联合国家海洋局的相关单位,通过实施近海台风的外场观测科学试验、加强台风边界层（特别是海气相互作用）物理过程诊断分析及参数化方案等的研究,建立并改进了台风强度预报的海-气-浪耦合预报模式系统,并在此基础上发展了台风强度的集合预报技术,在历史典型台风个例和2016-2017年台汛期的业务化测试中表现出良好的预报性能。     

过去千年气候变化重建研究新进展

20世纪气候变暖的归因是当前全球共同关注的焦点之一,而解决这一问题的途径之一是对过去千年的气候变化历史进行精确重建。简要回顾过去千年气候重建的研究进展,重点关注古气候空间重建方法方面的最新进展,并将目前古气候空间重建方法划分为3类,即综合-比例法（Composite Plus Scale, CPS）、气候场重建法（Climate Field Reconstruction, CFR）以及状态空间模型（State-space Model）法,同时指出了这些方法的优缺点以及可能的解决途径。