云凝结核浓度对WRF模式模拟飑线降水的影响：不同云微物理参数化方案的对比研究

采用WRF模式模拟一次影响中国广东省的飑线过程, 分别选取Morrison、 Thompson07、 Thompson09和WDM6云微物理方案实施了四组试验, 每组试验包括不同云凝结核（CCN）浓度的三次模拟, 称为 “低浓度”、 “中浓度” 和 “高浓度”, 将模拟区域划分为深对流、 浅对流和层云区域, 对比分析四组试验中CCN浓度变化对模拟的总降水量、 不同区域降水率和不同区域面积的影响, 进一步分析了云微物理过程、 动力环流强度等受CCN浓度变化的影响。发现: （1） 由于不同云微物理过程与CCN浓度有着直接或间接的联系、 不同云微物理过程之间存在复杂的关联、 云微物理过程与动力环流之间发生非线性耦合, 采用不同的云微物理方案导致模拟的CCN—降雨影响既有相似、 也有差异; （2）模拟的CCN—降水影响在采用Thompson09和Thompson07方案时更显著, 采用WDM6方案时最小; （3）四组模拟试验均出现CCN浓度增加延迟降水产生、 初期降水减弱的情况, 在模拟后期降水量也随着CCN浓度增加而减小, 而飑线成熟阶段CCN—降水影响更加复杂。     

台风风暴潮情景构建与时空推演

因台风风暴潮的突发性、情景演变时间的连续性和路径的不确定性,导致应急决策者在应急救援中难以做出正确决策,针对这一现状,将“情景—应对”应用在台风风暴潮应急决策中。本文在分析台风风暴潮情景、情景要素的概念模型基础上,首先通过资料搜集、属性识别等方法提取关键情景要素,采用框架表示法构建情景;然后分析台风风暴潮情景演变规律及演变路径;其次通过动态贝叶斯网络法构建台风风暴潮动态情景网络;最后利用先验概率与条件概率计算情景状态概率,实现了台风风暴潮的关键情景推演。本文以2018年9月16日11时至17时山竹台风对广东省沿海城市影响为例,演示了台风风暴潮的情景推演流程及关键技术。实证分析结果表明,溃堤、海水倒灌、洪水、滑坡发生的概率分别为85%、81%、74%、54%,验证了情景推演在风暴潮中应用的合理性。     

Reconstruction of protoliths of metamorphic rocks and tectonic setting of Wolegen Group

Parametamorphic rocks from Arong County in southeastern Inner Mongolia-Daxinganling district are regarded as Proterozoic in age,belonging to the Wolegen Group and composed of volcanoclastic and sandstone in origin,and have been disputed in tectonic setting.Because of the stability in metamorphism,the rare earth dements indicate the features of their protoliths.The authors integrated the petrologic methods with the geochemical parameters which include ∑REE,∑LREE/∑HREE,δCe,δEu,La/Yb,Sm/Nd,Th/Sc and the standard values of chondrite.The results show that the protoliths of Wolengen Group may be a group of voleanoclastic and continental margin elastic rocks,and their tectonic setting is the continent island arc.     

Brew平台上应用程序中断和恢复的处理

介绍了手机软件开发的应用BREW平台。主要阐述了运用于手持设备的应用程序在开发时所做的中断和恢复处理。     

体视化关键技术

体视化技术有着广泛的应用前景。对体视化的几种关键技术进行了分类综述，介绍了体数据的表示和分类，面绘制、体绘制和混合绘制各类典型算法的原理和特点。体数据的表示方式涉及到表示精度、存储量和处理时间之间的矛盾，要根据实际问题的具体特点和要求加以选择。体数据的分类是整个可视化算法中的一个关键步骤。只有对体数据进行准确的分类，才能经过处理得出合理的图像。近年来为加快绘制速度和提高图像质量提出了许多改进的体视化算法，并对部分改进算法进行了介绍。     

Mapping of Regional Soil Salinities in Xinjiang and Strategies for Amelioration and Management

Information on the spatial distribution of soil salinity can be used as guidance in avoiding the continued degradation of land and water resources by better informing policy makers. However, most regional soil-salinity maps are produced through a conventional direct-linking method derived from historic observations. Such maps lack spatial details and are limited in describing the evolution of soil salinization in particular instances. To overcome these limitations, we employed a method that included an integrative hierarchical-sampling strategy(IHSS) and the Soil Land Inference Model(So LIM) to map soil salinity over a regional area. A fuzzy c-means(FCM) classifier is performed to generate three measures, comprising representative grade, representative area, and representative level(membership). IHSS employs these three measures to ascertain how many representative samples are appropriate. Through this synergetic assessment, representative samples are obtained and their soil-salinity values are measured. These samples are input to So LIM, which is constructed based on fuzzy logic, to calculate the soil-forming environmental similarities between representative samples and other locations. Finally, a detailed soil-salinity map is produced through an averaging function that is linearly weighted, which is used to integrate the soil salinity value and soil similarity. This case study, in the Uyghur Autonomous Region of Xinjiang of China, demonstrates that the employed method can produce soil salinity map at a higher level of spatial detail and accuracy. Twenty-three representative points are determined. The results show that 1) the prediction is appropriate in Kuqa Oasis(R2 = 0.70, RPD = 1.55, RMSE = 12.86) and Keriya Oasis(R2 = 0.75, RPD = 1.66, RMSE = 10.92), that in Fubei Oasis(R2 = 0.77, RPD = 2.01, RMSE = 6.32) perform little better than in those two oases, according to the evaluation criterion. 2) Based on all validation samples from three oases, accuracy estimation show the employed method(R2 = 0.74, RPD = 1.67, RMSE = 11.18) performed better than the multiple linear regression model(R2 = 0.60, RPD = 1.47, RMSE = 14.45). 3) The statistical result show that approximately half(48.07%) of the study area has changed to salt-affected soil, mainly distributed in downstream of oases, around lakes, on both sides of rivers and more serious in the southern than the northern Xinjiang. To deal with this issue, a couple of strategies involving soil-salinity monitoring, water management, and plant diversification are proposed, to reduce soil salinization. Finally, this study concludes that the employed method can serve as an alternative model for soil-salinity mapping on a large scale.     

工厂化培养蒙古裸腹溞研究

采用充氧培养的方法 ,研究了不同饵料和不同盐度、光照下蒙古裸腹的生长情况。结果表明 :投喂小球藻、亚心形扁藻、等鞭金藻时蒙古裸腹的增殖率分别为 4 0 6 .6 %、377%、32 2 .2 % ,差异并不明显 ,而投喂酵母的增殖率达到 86 6 .7% ,效果显著 ;在 10～ 30的盐度范围内 ,盐度为 10时增殖最快 ,增殖率为 382 % ;自然光和遮光对蒙古裸腹的增殖率为 375 .2 %和 - 0 .6 8% ,差异显著 ,其生长和繁殖需一定的光照。     

广东雷州地区3种滨珊瑚系统发生关系的研究

对雷州常见的3种滨珊瑚科珊瑚：澄黄滨珊瑚（Porites lutea）、灰黑滨珊瑚（Porites nigrescens）、普哥滨珊瑚（Porites pukoensis）,共32个样本的12S rRNA基因序列进行了PCR扩增和测序,研究其系统发生关系。结果显示,所得的3种珊瑚的12S rRNA基因长度在728～908 bp之间,G+C含量在34.3%～39.2%之间,遗传距离在0.004~0.019之间。利用邻接（NJ）法、最大似然（ML）法和不加权对群分析(UPGMA)法构建的系统进化树显示：3种珊瑚被分成了2个支系,澄黄滨珊瑚和灰黑滨珊瑚聚合在一个分支上,而普格滨珊瑚在另一支,这一研究结果与传统形态学分类研究的结果存在一定差异。     

中哈俄阿尔泰稀有金属矿床时空分布、成因及成矿规律

中哈俄阿尔泰发育许多大型—超大型稀有金属矿床,是世界著名的稀有金属成矿省.该成矿省可分为3个稀有金属成矿带,自西南向东北依次为哈萨克斯坦Kalba-Narym、中国阿尔泰和俄罗斯山区阿尔泰等.这3个成矿带稀有金属矿床以伟晶岩型为主,但伟晶岩与花岗岩关系及其伟晶岩成因不一致:在哈萨克斯坦Kalba-Narym成矿带和俄罗...     

浅层地震反射在郧西盆地断层探测中的应用与研究

在前期详细地质调查的基础上,对郧西盆地进行针对性的浅层地震反射勘探,并利用地震发射结果来确定断层位置及构造特征。该研究对南水北调中线核心水源区地震安全系统的建设有一定意义。