青藏高原东部全新世冬夏季风变化的高分辨率泥炭记录

在建立了全新世泥炭沉积物高分辨率冬夏季风代用指标时间序列的基础上, 发现青藏高原若尔盖地区全新世冬夏季风的变化具有此消彼长和同时消长两种基本的模式, 冬季风与夏季风在不同时间尺度上两种模式又相互嵌套. 由冬夏季风指标叠加效应合成的气候状况却有与全球同步的规律性, 表现出千年-百年尺度的不稳定性, 6.2 ka的季风突然减弱事件要比8.0 ka的事件更显著, 反映了亚洲季风的区域特点或它本身就是全球气候的一个窗口.     

青藏高原羌塘北部托和平错一带二叠系展金组火山岩的特征及构造环境

西藏改则县托和平错地区展金组中发育一套早—中二叠世以玄武岩类为主、玄武安山岩次之、安山岩少量的海相火山岩组合。该火山岩中玄武岩、玄武安山岩的SiO2含量为44.43%～54.87%,TiO2含量多在4%以上,K2O+Na2O平均为4.57%,玄武岩类富K,玄武安山岩富Na。区内火山岩富集K、Ba、Th、Ta、Ce、P、Zr、Sm、Ti、Cr,亏损Rb、Nb、Hf、Sc,Y/Nb在0.322～0.499之间。综合常量元素和微量元素特征,可将该火山岩归入碱性玄武岩系列。区内火山岩从基性到中性稀土元素总量基本没有变化,REE平均为402.31×10-6,LREE/HREE为8.17～12.69,为轻稀土强烈富集型,δEu为0.93～1.04,平均为0.99,无Eu异常,玄武岩的Th/Ta值多数大于1.6。火山岩的地质特征和地球化学特征表明,本区火山岩产出的大地构造环境为冈瓦纳大陆北缘裂谷环境。     

多变量线性回归的平均值概念及其在地学研究中的应用

文章以实例阐述了多变量一元线性回归计算中的“平均值概念”. 作者根据“平均值概念”, 利用珊瑚δ¹⁸O比值重建了最近90年西沙表层海水盐度的变化历史,并运用洛川黄土¹⁰Be记录示踪了最近80 ka全球性的古地磁漂移事件, 从而阐明了“平均值概念”在地学数据分析中的重要意义及应用前景.     

试论"尊重场所、关怀人性"的设计理念——以南北高速公路黄屋屯服务区景观改造设计为例

在阐述“尊重场所、关怀人性”设计理念基础上,结合南北高速公路黄屋屯服务区的景观改造项目,通过剖析项目区景观现状存在的问题,合理运用保留、引进和剔除等设计途径,提出服务区的景观改造设计对策。     

滑体剩余下滑力计算在滑坡治理削挡方案设计中的应用

削坡和挡坡是治理滑坡常用的方法之一。但依据什么来设计削挡方案才能达到切合实际、行之有效、经济合理的目的呢？本文以广西资源县城大塘湾滑坡治理削挡方案设计为例,介绍了在滑面力学参数Ｃ、Φ值和滑体稳定安全系数ｋ值确定后,依据滑体剩余下滑力计算结果设计削挡方案的方法。该方法具有严谨的理论基础,计算简单,易于掌握,简便直观,定量,定位具体明确,具有较高的精确度,能把削挡工程与客观条件有机地结合起来,充分利用     

日照水库及周边区域综合地质条件分析

日照水库是1959年建成的一座大(二)型水库,位于日照市东港区驻地以西16 km处的付疃河中游,控制流域面积548 km2,是日照城市及国民经济发展的最重要水源保障。近年来日照市经济社会飞速发展,特别随着"山东精品钢基地"等大项目的开工建设,供水安全形势愈发严峻,如何维护日照水库和保护这一水源地更是被提到了重要的议事日程。先行研究分析流域地质条件,是做好日照水库保护建设工作的重要基础。     

南京市降水化学特征及其来源研究

为了解南京江北地区降水化学特征,分析了2011年3—6月共25个降水日的109个降水样品中的主要水溶性离子,并利用后向轨迹模式探讨了降水气团来源.结果表明:1)南京地区3—6月降水主要受南、北2种气团影响,北方气团降水的主要离子浓度高于南方气团降水.2)海盐示踪法和相关性分析显示,降水中NO₃^-和SO₄^2-主要来自燃煤、工业排放和汽车尾气;Ca²⁺主要来自地壳源;Cl^-主要来自海洋;海洋源和陆源对Mg²⁺和K⁺都有贡献,Mg²⁺的陆源贡献大于海洋源贡献,K⁺受海洋源的影响程度要低于Mg²⁺.3)南、北气团初期降水的各离子浓度高于总降水的各离子浓度,且初期降水的主要离子的富集系数高于总降水.这说明在降水初始阶段,雨水对南京大气中污染物(气态污染物和颗粒物)的云下冲刷去除作用较强,降水的离子浓度最高,局地源对降水离子的贡献较明显.     

Zoospore-derived monoecious gametophytes in Undaria pinnatifida (Phaeophyceae)

The annual life cycle of the brown seaweed Undaria pinnatifi da(Harvey)Suringer comprises a macroscopic diploid sporophyte stage and a microscopic haploid gametophyte stage.In 2011,an unusual zoospore-derived monoecious gametophyte isolate(designated as line 10-5-3)of U.pinnatifi da was observed.To understand this phenomenon,a comprehensive screening of eighty-two previously identifi ed male gametophyte cultures,isolated from three randomly selected cultivars(lines 10,7,and 5)was performed.Thirty-six of the isolates developed both antheridia and oogonia on the same fi lamentous fragment in a standard gametogenesis test(SGT: 18°C,60 μmol photons/(m 2·s)).Selfi ng of the monoecious gametophyte or crossing it with a normal male gametophyte both gave rise to morphologically normal sporophytic offspring.However,crossing resulted in a much higher fertilization rate(89.7%).The hybrid and selfed sporophytic offspring were grown to maturity in fl ow tanks at an ambient temperature of 10–18°C over a period of 69 days.Active zoospores were released from both types of mature sporophylls.The majority of these developed into male gametophytes,while 15%–20% developed into the observed monoecious structures on the same fi lament.Using PCR amplifi cation it was found that all the monoecious gametophyte isolates and the sporophytic offspring resulting from the selfi ng and crossing lacked the femalelinked microsatellite sequence(a part of the locus Up-AC-2A8,GenBank accession No.AY738602.1),indicating their male nature.U.pinnatifi da is an invasive species in some regions and the implications of the above fi ndings for this species in nature are briefl y discussed.     

Assessing seawater quality with a variable fuzzy recognition model

With the rapid development of the marine economy industry, human exploitation of marine resources is increasing, which is contributing to the growing trend of eutrophication and frequent occurrence of red tide. Accordingly, investigations of seawater quality have attracted a great deal of attention. This study was conducted to construct a seawater environmental quality assessment model based on the variable fuzzy recognition model. The uncertainty and ambiguity of the seawater quality assessment were then considered, combining the monitoring values of evaluation indicators with the standard values of seawater quality. Laizhou Bay was subsequently selected for a case study. In this study, the correct variable model for different parameters was obtained according to the linear and nonlinear features of evaluation objects. Application of the variable fuzzy recognition model for Laizhou Bay, water quality evaluation and comparison with performance obtained using other approaches revealed that the generated model is more reliable than traditional methods, can more reasonably determine the water quality of various samples, and is more suitable for evaluation of a multi-index, multi-level, nonlinear marine environment system; accordingly, the generated model will be an effective tool for seawater quality evaluation.