WRF模式对乌鲁木齐机场一次冻雾天气的数值预报对比试验分析

利用WRF模式和GFS资料对2016年11月28—29日乌鲁木齐机场一次冻雾天气过程进行预报,针对不同微物理过程、近地层、陆面过程、边界层等方案设计了13个预报方案组合,并将预报结果与观测资料进行对比分析发现,此次冻雾过程预报中,模式对陆面过程、近地层、边界层等参数化方案组合较为敏感,最优方案组合微物理过程为WDM6、近地层方案为QNSE,陆面过程方案为Noah,边界层方案QNSE。以最优的方案组合预报结果对此次冻雾进行分析,发现利用模式预报的环流形势、层结条件、温湿条件、混合条件等能够很好的判断出此次冻雾过程。就此个例而言,WRF模式预报的机场上空稳定层的变化,湿层结构、风场的水平和垂直结构等,对冻雾的生消以及冻雾过程中的能见度变化有一定的指示意义。     

西藏狮泉河地区高钾-钾玄质火山岩的岩石学、地球化学及锆石U-Pb年龄

报道的高钾-钾玄质火山岩位于狮泉河镇南东方向约20km处,向东延伸。高钾-钾玄质火山岩SiO2变化于60.35%~68.68%之间,属中酸性岩范畴;具有高的K2O+Na2O含量（8.8%~10.66%）,K2O/Na2O值在1.92~2.49之间,MgO含量较低,介于0.88%~3.47%之间,Al2O3含量为14.02%~14.91%,属于高钾-钾玄质系列。岩石强烈富集大离子亲石元素（LILE）Rb、Ba、Th、U和轻稀土元素（LREE）,高场强元素（HFSE）Nb、Ta、Ti具有明显负异常,Cr、Ni、Co相容元素含量低于或接近地壳的平均含量,结合Th/Yb-Ta/Yb、（Th×100）/Zr-（Nb×100）/Zr判别图及La-La/Yb图解,暗示岩浆源区可能为下地壳。在左左乡南东约2km处和狮泉河水泥厂北东约1km处各采集1个高钾-钾玄质火山岩样品,对其中的锆石进行LA-ICP-MS U-Pb同位素测定,得到的206Pb/238U年龄加权平均值分别为22.04±0.42Ma和22.29±0.31Ma,此年龄被解释为狮泉河一带高钾-钾玄质火山岩的喷发时代,即中新世阿启塔期。由此表明,该火山岩是印度板片向北俯冲时在狮泉河一带俯冲板片断离,岩浆发生部分熔融的产物。     

贵州草海湿地不同生境周丛生物碳、氮、磷生态化学计量学

为深入了解湿地周丛生物碳(C)、氮(N)、磷(P)生态化学计量的变化规律及其影响因素,对贵州草海湿地4种不同生境(湖滨带、人工湿地、农田沟渠、污水处理厂)中周丛生物两个生长阶段(生长期和衰老期)的C、N、P生态化学计量学进行了研究.结果表明:水体营养指数依次为污水处理厂(51.55±4.50)＞农田沟渠(50.41±4...     

山西下川遗址流水腰地点的细石叶工业

下川遗址流水腰地点（35°23'13"N,111°58'46"E）位于山西省垣曲县历山镇文堂村东北约1500 m处,海拔1554.9 m,发掘面积为12 m²,其中上文化层的年代约为17 cal.ka B.P.,石制品共计1182件。石制品原料以燧石为主,脉石英次之,还有一些硅质泥岩、玛瑙等。细石核以船形石核为主,兼有少量的半锥形石核。工具以刮削器、圆头刮削器、楔形析器为主,雕刻器、两端尖状器、两面尖状器很有特色。根据这些出土遗物的特征,该地点上文化层的文化性质为典型的以船形石核为主的细石叶文化,主要来源于下川遗址细石叶文化早期传统,同时受到来自吕梁山区和泥河湾盆地同期文化的影响。流水腰地点的发掘为研究山区旧-新石器时代过渡阶段的文化演变提供了新材料。

     

安徽铜陵新桥Cu-Au-Fe-S矿床黄铁矿Re-Os定年及成矿意义

安徽铜陵地区是长江中下游Cu-Au-Fe-S成矿带中的一个重要成矿区,新桥大型Cu-Au-Fe-S矿床为其重要的矿床之一.运用Re-Os同位素定年方法对该矿床中矿石的黄铁矿进行了精确定年测定,首次获得了黄铁矿的Re-Os等时线年龄为126±11Ma,初始OS值1.2±1.9（MSWD=2.6）,属早白垩世,代表了铁硫化物的成矿年龄.结合前人的精确同位素定年结果,认为铜陵地区存在两种成矿事件,一种是与Cu-Au-Mo矿有关的成矿事件,代表的铜钼金硫化物的成矿年龄为138.0～140.0 Ma;另一种与铁矿有关的成矿事件,代表的铁硫化物的成矿年龄为112.6～126 Ma.     

卡尔曼滤波相位解缠及其与其他方法的对比分析

一般相位解缠算法通常在相位解缠前首先需要借助滤波算法进行噪声消除,随后才能相位解缠,以保证解缠的质量和顺利实施。卡尔曼滤波将相位解缠问题转化为状态估计问题,实现相位解缠与噪声消除一并处理,简化了数据处理过程。利用真实干涉SAR数据进行实验,采用卡尔曼滤波相位解缠算法进行处理,并与其他几种较常用相位解缠算法的结果从目视和定量两方面进行比较和分析。验证了卡尔曼滤波相位解缠方法在滤波和解缠效果方面的有效性和可行性,可以获得较为可靠的解缠结果。     

Refined modeling and movement characteristics analyses of irregularly shaped particles

Irregularly shaped (IRS) particles widely exist in many engineering and industrial fields. The macro physical and mechanical properties of the particle system are governed by the interaction between the particles in the system. The interaction between IRS particles is more complicated because of their complex geometric shape with extremely irregular and co‐existed concave and convex surfaces. These particles may interlock each other, making the sliding and friction of IRS particles more complex than that of particles with regular shape. In order to study the interaction of IRS particles more efficiently, a refined method of constructing discrete element model based on computed tomography scanning of IRS particles is proposed. Three parameters were introduced to control the accuracy and the number of packing spheres. Subsequently, the inertia tensor of the IRS particle model was optimized. Finally, laboratory and numerical open bottom cylinder tests were carried out to verify the refined modeling method. The influence of particle shape, particle position, and mesoscopic friction coefficient on the interaction of particles was also simulated. It is noteworthy that with the increase of mesoscopic friction coefficient, the fluidity of IRS particle assembly decreases, and intermittent limit equilibrium state may appear. Copyright © 2014 John Wiley & Sons, Ltd.     

Development of a soil moisture‐based distributed hydrologic model for determining hydrologically based critical source areas

A simple grid cell‐based distributed hydrologic model was developed to provide spatial information on hydrologic components for determining hydrologically based critical source areas. The model represents the critical process (soil moisture variation) to run‐off generation accounting for both local and global water balance. In this way, it simulates both infiltration excess run‐off and saturation excess run‐off. The model was tested by multisite and multivariable evaluation on the 50‐km² Little River Experimental Watershed I in Georgia, U.S. and 2 smaller nested subwatersheds. Water balance, hydrograph, and soil moisture were simulated and compared to observed data. For streamflow calibration, the daily Nash‐Sutcliffe coefficient was 0.78 at the watershed outlet and 0.56 and 0.75 at the 2 nested subwatersheds. For the validation period, the Nash‐Sutcliffe coefficients were 0.79 at the watershed outlet and 0.85 and 0.83 at the 2 subwatersheds. The per cent bias was less than 15% for all sites. For soil moisture, the model also predicted the rising and declining trends at 4 of the 5 measurement sites. The spatial distribution of surface run‐off simulated by the model was mainly controlled by local characteristics (precipitation, soil properties, and land cover) on dry days and by global watershed characteristics (relative position within the watershed and hydrologic connectivity) on wet days when saturation excess run‐off was simulated. The spatial details of run‐off generation and travel time along flow paths provided by the model are helpful for watershed managers to further identify critical source areas of non‐point source pollution and develop best management practices.     

Soil property variation mapping through data mining of soil category maps

Spatial information on soil properties is an important input to hydrological models. In current hydrological modelling practices, soil property information is often derived from soil category maps by the linking method in which a representative soil property value is linked to each soil polygon. Limited by the area‐class nature of soil category maps, the derived soil property variation is discontinuous and less detailed than high resolution digital terrain or remote sensing data. This research proposed dmSoil, a data‐mining‐based approach to derive continuous and spatially detailed soil property information from soil category maps. First, the soil–environment relationships are extracted through data mining of a soil map. The similarity of the soil at each location to different soil types in the soil map is then estimated using the mined relationships. Prediction of soil property values at each location is made by combining the similarities of the soil at that location to different soil types and the representative soil property values of these soil types. The new approach was applied in the Raffelson Watershed and Pleasant Valley in the Driftless Area of Wisconsin, United States to map soil A horizon texture (in both areas) and depth to soil C horizon (in Pleasant Valley). The property maps from the dmSoil approach capture the spatial gradation and details of soil properties better than those from the linking method. The new approach also shows consistent accuracy improvement at validation points. In addition to the improved performances, the inputs for the dmSoil approach are easy to prepare, and the approach itself is simple to deploy. It provides an effective way to derive better soil property information from soil category maps for hydrological modelling. Copyright © 2014 John Wiley & Sons, Ltd.     

Displacement analytical prediction of shallow tunnel based on unified displacement function under slope boundary

For slope condition of ground surface, the asymmetrical deformation about the vertical center line and the horizontal center line of the tunnel cross section can be formed. A unified displacement function expressed by the Fourier series is presented to express the asymmetrical deformation of the tunnel cross section. Five basic deformation modes corresponding to the expansion order 2 are a complete deformation mode to reflect deformation behaviors of the tunnel cross section under slope boundary. Such this complete displacement mode is implemented into the complex variable solution for analytically predicting tunneling-induced ground deformation under slope boundary. All of these analytical solutions are verified by good agreements of the comparison between the analytical solutions and finite element method results. A parameter study is carried out to investigate the influence of deformation modes of the tunnel cross section, geometrical conditions of the tunnel and the slope angle, and “Buoyancy effect” on the displacement field. Finally, the proposed method is consistent with measured data of the Hejie tunnel in China qualitatively. The presented solution can provide a simplified indication for evaluating the ground deformation under slope condition of ground surface.