吉林省下三叠统卢家屯组LA-ICP-MS锆石U-Pb定年及其地质意义

卢家屯组按岩性组合自下而上分为影背山砾岩段、漏斗山杂色岩段、杨树河子黑色岩段,前人采集到的Palaeanodonta-Palaeomutela动物群、Pleuroneia? sp.和叶肢介等生物化石组合指示时代为二叠纪。本次对九台市影背山双顶山卢家屯组建组剖面下、中、上段进行了系统的碎屑锆石U-Pb同位素年代学研究,证实卢家屯组由下至上存在3个最小锆石年龄峰值,分别为(283.4±7.9)、(262.4±3.9)、(255.5±5.8) Ma,确定了卢家屯组的上限为晚二叠世。根据卢家屯组中碎屑锆石存在1 800 Ma和2 500 Ma左右的典型华北板块基底年龄,认为华北板块北缘与其北侧地块群最终闭合时间应为P₃-T₁。     

西藏地堡那木岗矿区水系沉积物地球化学特征及找矿预测

利用SPSS等软件对矿区1：5万水系沉积物地球化学数据分析,选用平均值±3倍标准差（X±3S）作为上下限反复剔除原始数据的特值,使元素含量服从正态分布.最后以X+2S作为异常下限（T）,以1T、2T、4T三级浓度分带,圈定Cu、Au、Ag、Mo单元素异常和Au-Ag-Mo综合元素异常,揭示矿区内水系沉积物地球化学异常特征.将异常区与矿区地质特征、矿床（点）套合分析,表明异常受地层、断裂、围岩蚀变控制,对寻找矿（化）体、断层、围岩蚀变带有指示作用.最终,优选2处远景区,分别为3号综合异常区中心北北西方向至北东向断裂附近,1号、2号综合异常区及其东侧组成一个走向为东西向的异常带.     

2002年西北太平洋和南海热带气旋路径主客观预报评价

利用目前中央气象台热带气旋路径实时业务预报中使用的各种主客观预报产品资料,对2002年西北太平洋和南海热带气旋路径实时业务预报中的主客观预报进行对比分析检验。结果显示：虽然在整体上主观预报要优于客观模式的结果,但客观模式的预报能力已接近主观预报,有时甚至还好于主观预报,特别是48小时以上时效的客观模式较主观预报具有一定的优势;而在客观模式中,全球模式优于台风模式;热带气旋路径数值模式产品的使用对提高热带气旋路径业务预报水平具有十分重要的作用。     

中南半岛影响南海夏季风建立和维持的数值研究

利用美国大气研究中心研制的第三代公共气候模式(CCM3)模拟了中南半岛对南海夏季风的建立和维持的影响,数值试验结果表明,中南半岛对南海夏季风的建立和维持起了非常重要的作用.同时还就中南半岛影响南海夏季风建立和维持的机制进行了讨论.     

层次分析与模糊数学综合评价法在矿山环境评价中的应用

采用遥感技术提取矿山环境评价因子,运用层次分析法与模糊数学法对三江成矿带南段矿山环境进行综合评价.层次分析法确定的矿山环境评价因子按权重排序,依次为植被覆盖率、土地利用、地形地貌、矿山地质灾害、水土流失和矿山开发占地;模糊数学法评价的区域矿山环境隶属第一等级“好”.通过GIS平台,按权重值对评价因子进行叠加、成图,实现了三江成矿带南段的矿山环境评价.层次分析与模糊数学综合评价法,不仅综合考虑矿山环境影响因子,且充分发挥了2种数学方法的优点,将动态与静态、定量与非定量等指标有机结合,发挥其因素和过程的模糊性,减少了专家人为评分的主观性,使评价结果更符合实际.     

21世纪初期层序地层学发展的新方向

层序地层学是在年代格架中划分和对比沉积岩的一门分支学科。尽管使用广泛,但是由于多种模式并存,术语使用缺乏规范,所以没有纳入任何地层规范和指南。鉴于此,以Catuneanu为首的地质学家致力于将层序地层学标准化,并且把层序重新定义为"在可容纳空间或沉积物供给变化的一个完整旋回中所形成的地层序列",提出了非依赖模式型(model-independent approach)的标准化工作流程,强调层序地层学的重点是体系域和层序地层界面,并且根据可使用资料的质量选择最佳层序模式(如沉积层序模式、成因层序模式)。层序地层学的标准化不论是否可以引领层序地层学进入国际地层规范和指南,这对于在复杂而不完整的岩石记录中寻求某种普遍规律都是一种有益的尝试,并且可以为今后的研究提供重要线索。     

登陆青岛的热带气旋及其降水特征分析

利用中国台风年鉴资料、地面及探空观测资料、NCEP/NCAR再分析数据以及NERA-GOOS海温数据,首先分析了1949-2019年在青岛登陆的四个热带气旋特征,然后对1909号台风“利奇马”对山东半岛造成的降水强度差异进行对比研究.分析表明:1)1949年以来有4个台风于8月以登陆北上和登陆转向路径在青岛登陆,其在中...     

基于LEAP模型的城市交通低碳发展路径研究——以广州市为例

以广州市为例,应用长期能源替代规划系统（LEAP）模型,通过设置政策情景、低碳情景和绿色低碳情景,模拟不同发展情景下广州交通领域未来的能源消费需求和CO₂排放趋势,分析城市低碳发展的方向和路径。结果显示,随着城镇化进程的加快和生产生活运输需求的增加,广州交通领域碳排放总量将持续增长,但增长速度有所放缓。政策情景下,广州交通领域的CO₂排放将于2035年左右达到峰值,严重滞后于广州市提出的碳排放总量达峰目标;低碳和绿色低碳情景下,通过加大低碳政策措施的力度,达峰时间有望分别提前到2025年和2023年。要实现城市交通的低碳发展,促进交通碳排放提前达峰,需要大力发展铁路和水路运输,全面落实公交优先发展战略,有效控制小汽车数量和出行频率,不断提高交通工具的清洁化和能效水平,逐步形成各种运输方式协调发展的综合交通运输体系,推动城市交通低碳发展。     

Comprehensive Marine Observing Experiment Based on High-Altitude Large Unmanned Aerial Vehicle(South China Sea Experiment2020 of the “Petrel Project”)

In collaboration with 12 other institutions, the Meteorological Observation Center of the China Meteorological Administration undertook a comprehensive marine observation experiment in the South China Sea using the Yilong-10 high-altitude large unmanned aerial vehicle(UAV). The Yilong-10 UAV carried a self-developed dropsonde system and a millimeter-wave cloud radar system. In addition, a solar-powered unmanned surface vessel and two drifting buoys were used. The experiment was further supported by an intelligent, reciprocating horizontal drifting radiosonde system that was deployed from the Sansha Meteorological Observing Station, with the intent of producing a stereoscopic observation over the South China Sea. Comprehensive three-dimensional observations were collected using the system from 31 July to2 August, 2020. This information was used to investigate the formation and development processes of Typhoon Sinlaku(2020). The data contain measurements of 21 oceanic and meteorological parameters acquired by the five devices, along with video footage from the UAV. The data proved very helpful in determining the actual location and intensity of Typhoon Sinlaku(2020). The experiment demonstrates the feasibility of using a high-altitude, large UAV to fill in the gaps between operational meteorological observations of marine areas and typhoons near China, and marks a milestone for the use of such data for analyzing the structure and impact of a typhoon in the South China Sea. It also demonstrates the potential for establishing operational UAV meteorological observing systems in the future, and the assimilation of such data into numerical weather prediction models.     

A STUDY ON SATELLITE DATA ASSIMILATION WITH DIFFERENT ATOVS IN TYPHOON NUMERICAL EXPERIMENTS

Based on the newly developed Weather Research and Forecasting model(WRF)and its three-dimensional variational data assimilation(3DVAR)system,this study constructed twelve experiments to explore the impact of direct assimilation of different ATOVS radiance on the intensity and track simulation of super-typhoon Fanapi(2010)using a data assimilation cycle method.The result indicates that the assimilation of ATOVS radiance could improve typhoon intensity effectively.The average bias of the central sea level pressure(CSLP)drops to 18 hPa,compared to 42 hPa in the experiment without data assimilation.However,the influence due to different radiance data is not significant,which is less than 6hPa on average,implying limited improvement from sole assimilation of ATOVS radiance.The track issue is studied in the following steps.First,the radiance from the same sensor of different satellites could produce different effect.For the AMSU-A,NOAA-15 and NOAA-18,they produce equivalent improvement,whereas NOAA-16 produces slightly poor effect.And for the AMSU-B,NOAA-15 and NOAA-16,they produce equivalent and more positive effect than that provided by the AMSU-A.Second,the assimilation radiance from different sensors of the identical satellites could also produce different effect.The assimilation of AMSU-B produces the largest improvement,while the ameliorating effect of HIRS/3assimilation is inferior to that of AMSU-B assimilation,while the AMSU-A assimilation exhibits the poorest improvement.Moreover,the simultaneous assimilation of different radiance could not produce further improvement.Finally,the experiments of simultaneous assimilation radiance from multiple satellites indicate that such assimilation may lead to negative effect due to accumulative bias when adding various radiance data into the data assimilation system.Thus the assimilation of ATOVS radiance from a single satellite may perform better than that from two or three satellites.