A GIS-based method of risk assessment on no. 11 coal-floor water inrush from Ordovician limestone in Hancheng mining area,China

The no. 11 coal seam in the deep area of Hancheng mining area is mining in recent years, which is threatened by the water inrush from the Ordovician limestone aquifer. Coal-floor water inrush is governed by the water abundance of coal-floor aquifer, the water-resisting performance of coal-floor aquitard, and the pathway connecting the water source and the working face. To make an accuracy risk assessment of water inrush from the no. 11 coal seam floor, a GIS-based vulnerability index method (VIM) is adopted for its superior comprehensive consideration of more controlling factors, powerful spatial analysis, and intuitively display functions. This study firstly established an index system including the water pressure of the coal-floor aquifer, the unit water inflow, the thickness, the core recovery percentage, the thickness ratio of brittle rocks to ductile rocks, the thickness of effective aquitard, and the accumulated length of faults and folds, of which the former six indexes governed the water abundance of the coal-floor aquifer which was combined with the last two factors to determine the risk of coal-floor water inrush. Secondly, the thematic map of each controlling factor is established by GIS using the geological prospecting data, and the weight of each factor is determined by the analytic hierarchy process (AHP) after consulting the expert review panel. At last, a vulnerability index is obtained and used to assess the risk of coal-floor water inrush of the no. 11 coal seam. The risk of water inrush of the no. 11 coal seam of the study area was ranked to three zones: the southeastern shallow area in red color is the dangerous zone, the wide northwestern area in green color is the safe zone, and the transition area in yellow color is the moderate-risk zone. Compared with the actual water-inrush incidents, the risk assessment result was verified to achieve an accuracy of 82.35%, which is proved to be a dependable reference for the prevention and controlling of coal-floor water inrush of the no. 11 coal seam in Hancheng mining area.     

华夏陆块钠质高镁玄武岩地球化学特征及地质意义

赣州盆地位于钦杭(钦州—杭州)结合带南侧华夏陆块西部,由晚白垩世早期红色碎屑沉积岩系组成,其底部夹有一套玄武岩,全岩Si O_2含量为46.50%~48.13%,具有钠质高镁特征(Mg O=15.47%~18.24%,Mg~#=74~77,K_2O/Na_2O=0.22~0.39)。稀土元素配分型式表现出轻稀土富集右倾,没有明显的Eu异常的特点,表明岩浆没有明显的斜长石分离结晶作用;微量元素上富集大离子亲石元素,高场强元素特别是Ta、Nb、Ti亏损不明显,Cr、Ni的含量分别为235×10~(-6)~617×10~(-6)、157×10~(-6)~493×10~(-6),与原生岩浆的Cr、Ni含量接近,Ba/Nb值(13.51~23.18)和La/Nb值(0.82~1.03)表明源区有富集地幔组分;Sr—Nd—Pb—O同位素显示出源区性质具有EMⅡ型富集地幔特征。岩石学和地球化学特征表明,玄武岩具有原生岩浆性质,是富集地幔部分熔融的产物。同时为中生代华夏陆块EMⅡ型岩石圈地幔提供了准确的证据。由赣州盆地晚白垩世构造背景和构造环境判别图解可知,本区玄武岩形成于板内拉张环境,可能与古太平洋俯冲条件的转变有关。     

斥水性土壤水分入渗试验和模型

为研究斥水性土壤水分入渗规律,并探寻适用于斥水性土壤水分入渗的数学模型,以妫水河流域亲水性和斥水性土壤为研究对象,开展室内一维垂直土柱入渗试验;分别采用Kostiakov分段函数、Fourier级数、一阶Gaussian函数以及Gaussian分段函数对斥水性土壤入渗率进行拟合。试验结果表明:亲水性土壤入渗率随时间呈单调减小变化趋势,斥水性土壤入渗一段时间后累积入渗量会出现翘尾现象,入渗率为先增大后减小的单峰曲线。模型图形分析表明: Kostiakov分段函数入渗率在拐点处同时存在一个极大值和极小值,Fourier级数存在多个波峰,一阶Gaussian函数不能反映入渗率在拐点后大于拐点前的试验现象,因而均难以真实反映斥水性水分入渗过程。忽略水分开始快速入渗过程,Gaussian分段函数模型不仅能够反映入渗率在拐点前的单调增以及拐点后的单调减过程,同时也能够体现入渗率在拐点后大于拐点前的试验现象。     

中国东部四明山古夷平面遗迹特征与演化

古夷平面研究在地貌演化和新构造运动研究中占有极其重要的地位,但由于遭受构造运动和剥蚀作用的影响,很多古夷平面遗迹已无从清晰辨识。浙江四明山顶古近纪夷平古风化壳面的发现,为研究浙江东部甚至华东地区的新生代地貌演化提供了重要地质信息,同时为始新世和中新世时的古气候、古环境研究提供了重要物质证据。通过详细的野外地质调查,系统采集了该区5个点位的20个古风化壳样品和7个点位的15个现代风化壳样品,开展黏土矿物分析和玄武岩K-Ar年龄测试。研究确认四明山地区发育有2期古夷平面遗迹,即古近纪(E)和新近纪(N)古夷平面遗迹:第一期夷平面发育时间为65. 0～32. 2 Ma,解体和古夷平面遗迹保存时间为32. 2～21. 7 Ma;第二期夷平面发育时间为21. 7～10. 5 Ma,解体和古夷平面遗迹保存时间为10. 5～3. 0 Ma。研究区2期火山活动喷发所形成的玄武岩盖层有效保护了该区的古风化壳,从而使四明山古夷平面遗迹具有空间展布完整、剖面信息清晰等特征,呈现出由古夷平面(古风化壳)与玄武岩堆积面(现代风化壳)组成的"双风化壳"现象,为观察古夷平面遗迹特征提供了最佳场所。     

桂林毛村岩溶区与碎屑岩区檵木和马尾松凋落叶分解研究

为探究岩溶生态环境对凋落叶分解的影响,选用碎屑岩区相同树种作为对比,运用凋落物分解网袋法研究其凋落物分解初期动态,研究结果表明:（1）岩溶区檵木和马尾松凋落叶分解速率总体上均小于碎屑岩区相同树种凋落叶分解速率;（2）凋落叶分解速率k与凋落叶初始养分碳含量呈显著负相关（P<0.05）,与木质素含量呈极显著负相关（P<0.01）;（3）在凋落叶分解过程中,各养分释放规律具有一定的差异,凋落叶养分元素碳在分解过程中呈现出净释放;（4）岩溶区树种的碳释放速率比碎屑岩区慢,说明岩溶区两树种的凋落在一定程度上延长了C的循环周期      

Comparison of two types of persistent heavy rainfall events during sixteen warm seasons in the Sichuan Basin

本文筛选出四川盆地西部(盆西型)和盆地东部(盆东型)持续性暴雨个例,深入对比两类持续性暴雨的大气环流特征和直接造成持续性暴雨的西南低涡维持的机理.四川盆地的短波槽和西太平洋副热带高压的配置有利于持续性暴雨的维持,盆东型的降水强度较盆西型个例强,高空急流位置偏南,南亚高压的强度更强,高层辐散更强,对流层中层副热带高压偏东偏南.盆西型的水汽输送主要来自南海,而盆东型的水汽输送主要来自南海和孟加拉湾.合成涡度收支的结果表明散度项是两类持续暴雨中西南涡维持的主要原因,但盆西型中,垂直平流的作用更强.     

不同类型华南暖区暴雨过程的环流特征

在对34年华南暖区暴雨的筛选和客观分类研究的基础上,继续深入研究不同类型暖区暴雨的环流特征与对流发生环境变量特征的异同。主要结果如下:大部分切变线型、低涡型和回流型暖区暴雨个例的环境场斜压性较强,其中回流型暖区暴雨在关键区斜压性最强,而南风型暖区暴雨个例的环境场斜压性相对较弱;所有类型暖区暴雨发生时对流层中高层的中纬度基本为平直西风气流控制,降水区主要位于西风带短波槽槽前,低层均有低空急流的影响。各类暖区暴雨的主要差异在于高层南亚高压、中层短波槽和副热带高压的位置和强度差异以及低层低空急流的位置、强度、风向和水汽输送条件的不同。切变线型暖区暴雨发生时0～3 km垂直风切变最强,低涡型暖区暴雨对流有效位能最大,两类南风型暖区暴雨的动力和热力强迫都较弱,对其发生发展机理需要开展更深入研究。     

大范围复杂三维场景并行绘制实时帧同步技术

针对复杂三维模型在实时绘制过程中的帧同步策略,该文提出改进。基于Windows集群开发了一种sort-first数据分布式体系结构的并行图形绘制系统;基于缓存交换技术提出一种多路并行的帧同步算法来提高集群的通信效率。在Windows集群系统上进行了验证实验,结果表明:(1)该算法较大程度地提高了集群的帧同步性能并缩短了同步重建时间;(2)集群并行系统有效地完成了大范围复杂三维GIS场景的流畅绘制显示。     

A MATLAB-based Kriged Kalman Filter software for interpolating missing data in GNSS coordinate time series

GNSS coordinate time series data for permanent reference stations often suffer from random, or even continuous, missing data. Missing data interpolation is necessary due to the fact that some data processing methods require evenly spaced data. Traditional missing data interpolation methods usually use single point time series, without considering spatial correlations between points. We present a MATLAB software for dynamic spatiotemporal interpolation of GNSS missing data based on the Kriged Kalman Filter model. With the graphical user interface, users can load source GNSS data, set parameters, view the interpolated series and save the final results. The SCIGN GPS data indicate that the software is an effective tool for GNSS coordinate time series missing data interpolation.     

Position-domain integrity risk-based ambiguity validation for the integer bootstrap estimator

Integrity monitoring for ambiguity resolution is of significance for utilizing the high-precision carrier phase differential positioning for safety–critical navigational applications. The integer bootstrap estimator can provide an analytical probability density function, which enables the precise evaluation of the integrity risk for ambiguity validation. In order to monitor the effect of unknown ambiguity bias on the integer bootstrap estimator, the position-domain integrity risk of the integer bootstrapped baseline is evaluated under the complete failure modes by using the worst-case protection principle. Furthermore, a partial ambiguity resolution method is developed in order to satisfy the predefined integrity risk requirement. Static and kinematic experiments are carried out to test the proposed method by comparing with the traditional ratio test method and the protection level-based method. The static experimental result has shown that the proposed method can achieve a significant global availability improvement by 51% at most. The kinematic result reveals that the proposed method obtains the best balance between the positioning accuracy and the continuity performance.