Effects of chemical ecological adjustment and control experiment on phytoplankton community in the Aoshan Bay

There is a low nutrient level in the Aoshan Bay. In June 1999, the chemical adjustmentand control experiment was made in the Aoshan Bay. Following tracts investigation was carried out before the experiment and on the 1st, 2nd, 4th, 5th, 6th and 45th day/after the experiment. While the variance of amount of phytoplankton, the replacement of superior species and the species composition of phytoplankton were researched. The results show that the amount of phytoplankton in the Aoshan Bay rises gradually after the experiment. Ceratium macroceros Cleve of pyrophyta was the dominant species before the experiment, its dominant index was 37.7％. Six days after the experiment, its dominant index dropped to 17.6％ . Meanwhile the dominant index of Asterionella japanics Cleve rose from 7.1％ to 39.2％ , it became the first dominant species. Forty-five days after the experiment, the amount of phytoplankton in the Aoshan Bay was 5.15 to 137.32 times more than that in 1997.     

节能住宅地震反应分析

为研究节能房屋的抗震能力,本文基于墙体试验研究成果,建立了墙体的恢复力模型及其抗震抗剪强度公式,并对内砖外加气混凝土砌块墙体节能房屋进行了地震反应分析.本项研究为节能住宅的推广应用提供了抗震设计依据.     

鄂西—渝东地区热史恢复及烃源岩成烃史

根据鄂西—渝东地区镜质体反射率数据进行的热史恢复结果表明:该区在晚二叠世初期达到最高古热流(可达68~78mW/m2,地表热流),从晚二叠世初到现今古热流持续降低,在侏罗纪末期古热流平均为~54mW/m2(地表热流);鄂西—渝东地区中生界与新生界之间不整合面的剥蚀量可达1700~4000m。成烃史研究表明:鄂西—渝东地区志留系烃源岩在晚志留世—早二叠世进入生油高峰,在早-中三叠世进入生气期,中侏罗世晚期进入过成熟干气阶段,快速生烃时期是在晚志留世、二叠纪—中三叠世及早-中侏罗世;而二叠系烃源岩在早三叠世进入生油门限,于中-晚三叠世达到生油高峰,在中-晚侏罗世进入生气期,晚侏罗世晚期进入过成熟,快速生烃时期是在早-中三叠世及侏罗纪。     

The long-term trend of Bohai Sea ice in different emission scenarios

Based on a coupled ocean-sea ice model, this study investigates how changes in the mean state of the atmosphere in different CO_2 emission scenarios(RCP 8.5, 6.0, 4.5 and 2.6) may affect the sea ice in the Bohai Sea, China,especially in the Liaodong Bay, the largest bay in the Bohai Sea. In the RCP 8.5 scenario, an abrupt change of the atmospheric state happens around 2070. Due to the abrupt change, wintertime sea ice of the Liaodong Bay can be divided into 3 periods: a mild decreasing period(2021–2060), in which the sea ice severity weakens at a nearconstant rate; a rapid decreasing period(2061–2080), in which the sea ice severity drops dramatically; and a stabilized period(2081–2100). During 2021–2060, the dates of first ice are approximately unchanged, suggesting that the onset of sea ice is probably determined by a cold-air event and is not sensitive to the mean state of the atmosphere. The mean and maximum sea ice thickness in the Liaodong Bay is relatively stable before 2060, and then drops rapidly in the following decade. Different from the RCP 8.5 scenario, atmospheric state changes smoothly in the RCP 6.0, 4.5 and 2.6 scenarios. In the RCP 6.0 scenario, the sea ice severity in the Bohai Sea weakens with time to the end of the twenty-first century. In the RCP 4.5 scenario, the sea ice severity weakens with time until reaching a stable state around the 2070 s. In the RCP 2.6 scenario, the sea ice severity weakens until the2040 s, stabilizes from then, and starts intensifying after the 2080 s. The sea ice condition in the other bays of the Bohai Sea is also discussed under the four CO_2 emissions scenarios. Among atmospheric factors, air temperature is the leading one for the decline of the sea ice extent. Specific humidity also plays an important role in the four scenarios. The surface downward shortwave/longwave radiation and meridional wind only matter in certain scenarios, while effects from the zonal wind and precipitation are negligible.     

检测前跟踪框架下利用蒙特卡洛算法的空间碎片跟踪策略研究（英文）

在轨卫星或者空间碎片数量的增多,是对空间目标地基自动观测的一个挑战。尽管北美防空司令部编目管理了绝大多数直径超过10 cm的空间物体,但由于轨道摄动,空间目标的位置信息(基于6个轨道根数)依然非常重要,并需要定期更新。在过去的几十年里,配备电子传感器的现代地基光电望远镜已广泛用于天体测量领域。然而,这种设备的跟踪性能主要取决于空间目标的大小和亮度。这些目标所在的天文图像会有不同的背景;而且,在基于凝视模式的短曝光实时观测过程中,运动目标和背景恒星在不同的信噪比下显示为类似的点扩散函数,难以辨认。本研究是为了实现对非高斯和动态背景的高灵敏度检测和跟踪能力的提高,并具有简单的系统机制和出色的计算效率。为突破该限制,将重点放在利用状态估计技术对微小卫星和暗弱目标进行跟踪上。提出一种基于神经网络的自适应运行高斯平均算法,用以从恒星背景及干扰下提取运动的空间目标。该方法随后被集成到了一个检测前跟踪框架中。该框架利用基于蒙特卡洛的粒子滤波跟踪空间目标。三段来自亚太地基光学空间目标观测系统(APOSOS)图像序列被用来对该跟踪策略进行评估。实验结果表明,该方法能够达到满意的跟踪性能。     

四川邛海湖泊沉积物记录的过去30 cal.ka B.P.以来的古气候环境特征

以我国西南地区邛海钻孔沉积物为研究对象,利用高分辨率粒度数据,结合正构烷烃指标特征,探讨了研究区30 cal.ka B.P.以来的植被演化和气候环境变化过程。研究表明,邛海沉积有机质主要来自于外源的高等陆生植物和内源的水生生物（低等菌藻类生物和挺水、沉水和漂浮植物）。沉积物粒度组成及正构烷烃代用指标变化特征表明,邛海地区过去30 cal.ka B.P.以来的气候环境变化过程大致分为4个阶段：1）29.1~23.0 cal.ka B.P.,沉积物中值粒径（Md）均值为22.4 μm,正构烷烃平均碳链长度（ACL值）和陆生植物正构烷烃相对输入量指标（Pwax值）呈高值,指示相对暖湿的气候条件,湖区以草本植物为主;2）23.0~19.0 cal.ka B.P.,沉积物中值粒径明显减小,均值为15.4 μm,同时ACL值、Pwax值为低值,指示温度较低,气候干燥,这一时期植被类型以木本植物为主;3）19.0~11.0 cal.ka B.P.,中值粒径减小,均值为10.4 μm,ACL值总体较低,Pwax值由高转低,研究区气候从由暖湿向冷干转变,木本植物扩张;4）自11.0 cal.ka B.P.以来沉积颗粒表现出"细-粗-细"的变化特点,中值粒径均值为11.5 μm,ACL值、Pwax值由低值先升高后降低,揭示这一时期邛海气候"冷干-暖湿-冷干"的变化过程,湖区经历了草本植物先扩张后收缩的过程。特别的是,邛海沉积物记录的23.0~19.0 cal.ka B.P.、12.8~11.7 cal.ka B.P.和9.0~5.0 cal.ka B.P.这3次典型气候时期,在时间和气候特征上与末次冰盛期（LGM）、新仙女木事件（YD）和全新世气候适宜期（HCO）相符,可能是对西南季风强度变化及地质历史时期典型气候事件的响应。     

开发中期阶段的煤炭资源综合评价研究——以兖州煤田为例

对处于开发中期阶段的煤炭资源评价进行研究,提出了建立开发中期煤炭资源综合评价体系的基本原则和思路。以此为基础,对兖州煤田3煤进行了评价,为兖州矿区的开发决策和可持续发展提供科学依据。     

Evidence for Tibetan Plateau Uplift in Qaidam Basin before Eocene-Oligocene Boundary and Its Climatic Implications

Geometry analysis of the Hongsanhan (红三旱) Section in the northwestern Qaidam basin illustrates the typical growth strata in the Xiaganchaigou (下干柴沟) Formation. The age and sedimentation rates of the Xiaganchaigou and the Shangganchaigou (上干柴沟) formations were determined by the high-resolution magnetostratigraphy. This result shows that the growth strata began to form at ca. 38.0 Ma and increased sedimentation rates occurred at ca. 37.0 Ma. The uplift of the Tibetan plateau before the Eocene-Oligocene boundary is confirmed, which enables us to better understand the relationship between climatic changes and the tectonic uplift. This uplift event could have resuited in the regional drying by blocking the moisture and contributed to the Eocene-Oligocene boundary global cooling event due to the declining atmospheric CO2 concentrations by increased weathering of the mountains.     

Early Detection of Terrorism Outbreaks Using Prospective Space–Time Scan Statistics

Terrorism is a complex phenomenon with high uncertainty involving a myriad of dynamic known and unknown factors. It is and will remain a challenge to predict or detect terrorism outbreaks at an early stage. This research presents an alternative approach for modeling terrorism activity, one that monitors and detects space–time clusters of terrorist incidents using prospective space–time scan statistics. Such clusters provide indicators of potential outbreaks of terrorist incidents. To evaluate the effectiveness of the approach, we analyze the terrorist incidents in the Consortium for the Study of Terrorism and Responses to Terrorism's (START) Global Terrorism Database (GTD) from 1998 to 2004. Clusters of terrorist events are detected at each time stamp and life trajectories of these clusters are constructed based on their space–time relationship to each other. Through the life trajectories and trends of clusters, we demonstrate how space–time scan statistics detect terrorism outbreaks at an early stage.     

Synthesis of zeolites using fly ash and their application in removing heavy metals from waters

Fly ash is the solid waste of thermal power plants where coal is used as fuel, and its management and utilization have been of environmental concern for decades. Since the technique of synthesizing zeolite from coal fly ash was introduced by Holler[1] (19…