东昆仑丘吉东沟地区泥盆纪花岗岩的成因机制及其对原特提斯造山作用的启示

东昆仑造山带发育巨量显生宙花岗岩,记录了特提斯造山作用的岩浆—构造演化过程.本次研究以东昆仑丘吉东沟地区泥盆纪花岗岩体为研究对象,开展系统的岩石学、年代学和地球化学研究,厘定其成因类型,揭示岩石成因及其对原特提斯造山作用的启示.丘吉东沟花岗岩体由斑状花岗闪长岩组成,岩体内发育暗色微粒包体.LA-ICP-MS锆石U-Pb年代学分析显示,斑状花岗闪长岩形成于382.7±3.6 Ma,判定其为中泥盆世岩浆活动的产物,岩石具有富硅(w(SiO2)= 66.80％～73.15％)、富碱(w(K2O+Na2O)=7.07％～8.50％)和低铝(A/CNK=0.88～0.97)的特征,属于准铝质高钾钙碱性岩石.岩石的w(MgO)和w(FeO)分别为0.74％～1.77％和2.13％～4.98％,具有变化范围较大的Mg#值(21～50).岩石富集Zr,Nb,Ce和Y等高场强元素(Zr+Nb+Ce+Y=330～540X10-6),亏损Ba,Sr,P,Ti和Eu等元素.岩石的稀土分配模式呈右倾的"海鸥式"特征,具有显著的负Eu异常(8Eu=0.12～0.35)和较高的10 000 * Ga/Al比值(2.65～3.72),属于典型的A型花岗岩.构造判别图解指示岩石具有A2型花岗岩特征,形成于后碰撞伸展构造环境.综合分析表明,丘吉东沟泥盆纪A型花岗岩起源于低压高温条件下长英质地壳的部分熔融,具有一定的岩浆混合印记,其成因背景与东昆仑原特提斯域碰撞后伸展作用相关.     

广西隆安都结剖面下石炭统都安组上部鲕粒类型及其地质意义*

鲕粒是一类特殊的沉积颗粒,为古气候和古海洋环境的重要指示器。为了深入认识此类特殊颗粒的成因机制、形成环境及地质意义,对广西隆安地区都结剖面下石炭统都安组上部含鲕粒地层开展了古生物学、沉积学和岩相学研究。研究区共识别出5种主要的鲕粒类型: 放射状纹层鲕粒(O1)、规则同心放射状纹层鲕粒(O2)、不规则同心放射状纹层鲕粒(O3)、泥晶鲕粒(O4-A和O4-B)和复合鲕粒(O5)。各类鲕粒的显微组构和沉积环境指示其具有不同的形成过程,其中水动力条件影响和控制着鲕粒的发育和分布情况。研究区含鲕粒地层形成于维宪期末—谢尔普霍夫期,恰好对应早石炭世晚期冰川作用的开始。受冰川作用影响,全球海平面频繁波动,研究区地处低纬度地区并以浅滩和潮坪沉积环境为主,为鲕粒的形成提供了适宜的水体条件,即温暖、动荡的浅水环境。此外,含鲕粒岩层内广泛发育钙质微生物和微生物席,说明微生物活动在研究区较为常见,可能与鲕粒的形成过程具有一定的关联。     

Analysis of Cloud Scale Error of Low Resolution Satellite Based on GF-4 and Its Influence on Downward Radiation Calculation

In order to study the scale error of low resolution meteorological satellite cloud detection and its impact on the calculation of downlink radiation, cloud detection using high resolution stationary satellite GF-4 data and error analysis were carried out. Firstly, the cloud detection of GF-4 data is carried out by using visible channel threshold method and time series method, and the error of cloud detection results of Himawari-8 and FY-2 (FY-2G, FY-2E) is analyzed based on the results of GF-4 cloud detection.In the study area, FY-2G, FY-2E and Himawari-8 cloud images could distinguish the clouds and clear sky. The main reason for the error was the scale effect produced by different spatial resolution satellites(the differences caused by cloud detection algorithms are not discussed here).Most of the errors occurred in the areas of thin clouds and broken clouds.High resolution data could detect broken clouds, while low resolution data lead to false and missed detection. On this basis, the error of remote sensing calculation of short wave radiation was analyzed,and it was found that the error of the actual cloud amount in the pixel would bring significant error to the estimation of the downward radiation.The relative error of the instantaneous downward radiation in the selected test area was -173.52%, and the maximum relative error of shortwave radiation was -20.20%.The results show that the high resolution stationary satellite data can significantly improve the estimation accuracy of the downlink shortwave radiation in the regions with more broken clouds.     

Provenance and tectonic significance of late Mesoproterozoic detrital zircons from the Tonian system,northern margin of the North China Craton

The involvement of the North China Craton (NCC) in the assembly or breakup of Rodinia has long been debated. Studies of palaeomagnetism, mafic sills (dikes), igneous events, and sedimentary records have led to contrasting opinions on this topic. No igneous events related to the late Mesoproterozoic assembly of Rodinia have been reported in the NCC. However, the authors found numerous late Mesoproterozoic zircons in the Tonian system on the northern margin of the NCC. The Tonian Zhulazhagamaodao formation is composed of meta-sandstone, siltstone, slate, carbonate, and dolomine of the littoral to neritic facies and occurs mainly in the western part of the Bayan Obo–Zhaertai–Langshan rift. U–Pb dating of detrital zircons from the Tonian system reveals age peaks at 1079 ± 23 Ma, 1092 ± 22 Ma, 1175 ± 50 Ma, 1175 ± 18 Ma, 1260 ± 45 Ma, 1266 ± 16 Ma, and 1270 ± 26 Ma, which correspond to the timing of Rodinia assembly. Considering that coeval igneous rocks and orogenic belts developed mostly in the Laurentia–Baltica cratons, we propose that these cratons supplied clastic material to the northern margin of the NCC and that they had a close spatial relationship between each other during the Tonian.     

Zircon and cassiterite U-Pb ages,petrogeochemistry and metallogenesis of Sn deposits in the Sibao area,northern Guangxi: constraints on the neoproterozoic granitic magmatism and related Sn mineralization in the western Jiangnan Orogen,South China

Mineralogy and Petrology - A number of Sn deposits associated with Neoproterozoic granites are located in the western Jiangnan Orogen of northern Guangxi. The distribution of Sn mineralization is...     

A generic method to organize boundaries of complex polygons for embedded devices

Based on an analysis of drawbacks in the existing graphical display of complex area objects in embedded system, the paper introduces a new method termed as consecutive boundary organization (CBO) which is able to convert a large number of separate polygons belonging to the same area object into a single consecutive stroke fitting for quick display. The working principle of the CBO method is demonstrated in three cases that can typically occur to the real-world concept “lake”: (1) a lake with an island in it, (2) a lake with multiple islands, and (3) the nested lake-island-lake. In spite of complicated inclusion relationships, the CBO method can always construct an integral stroke with neither information loss nor redundancy. Experiments with a real dataset of lakes and islands from North America have proved the feasibility and efficiency of the CBO method. Due to its generic nature, the CBO method can be applied to any other complex area objects with multiple polygons and inclusion levels.     

卷积神经网络的PM2.5预报模型

针对目前基于机器学习的PM2.5预报模型无法充分利用研究区域内其他相关站点的数据问题,该文提出了一种区域时空点数据的表示方法,并在此基础上提出了基于卷积神经网络的PM2.5预报模型。该模型利用了区域内多站点的历史PM2.5实测数据以及相应的气象预报数据,对区域内任一站点PM2.5浓度进行预报。实验结果显示,该模型在京津冀区域内能对未来至少3d内的PM2.5浓度进行较高精度的预报。与基于单站点的前馈神经网络预报结果对比表明,对区域整体污染及气象状况建模的卷积神经网络模型预报精度更高。该模型对区域内所有站点的预测结果与地面实测值的分布基本一致,表明了该模型具有对区域内PM2.5浓度进行时空预报的能力。     

A typification method for linear pattern in urban building generalisation

This paper presents a typification method for linear pattern in urban building generalization. The proposed method includes two processes. Firstly, structural knowledge in terms of linear pattern is detected using a two-step algorithm taking the advantages of Gestalt visual perception, computational geometry and graph theory. Spatial neighbourhood is captured using interpolated constrained Delaunay triangulation and the resulting proximity graph is pruned to be heterogeneous to get acceptable linear patterns with regard to Gestalt visual perception. Then, a typification strategy is proposed, in which typification is regarded as a progressive and iterative process consisting of elimination, exaggeration and displacement. The typification strategy iteratively executes eliminating the building with minimum overall effect, exaggerating remaining buildings considering key location and spatial characteristics and displacing them to preserve the linear pattern until elimination quantity is satisfied. Experiments show that this proposed strategy is effective and linear patterns are guaranteed with correctness and completeness.     

基于元素组合特征的相似性系数法圈定异常——以南岭地区为例

强调了统计域的正确选择对区域地球化学数据分析的重要性。本文以南岭研究区的W元素原始异常作为统计域,分析得出了研究区内不同成矿类型钨矿一种量化的简单元素组合特征。以此量化的元素组合特征,并结合相似度分析方法,统计了研究区内样点与各典型钨矿元素组合特征的相似性系数,其成图结果非常准确地圈定了已知的各类型钨矿,相比W元素原始异常其准确率得到了明显提升。该方法亦可认为是对地球化学场的一种成因分解,能够准确提取其中与成矿有关的异常信息。该研究可作为区域异常结构模式研究的重要补充,也可以为扩大南岭地区钨矿找矿远景提供线索。     

联合VDSR和SBGFRLS的海岛水边线快速分割方法研究

针对现有方法在海岛水边线分割时存在的效率低和精度差等问题,联合图像超分辨率重建(VDSR)模型和二值化高斯滤波水平集(SBGFRLS)模型,提出了一种海岛水边线的快速分割方法,该方法包括:①利用NDWI指数扩充及训练VDSR模型,构建用于海岛水边线分割的超分辨率遥感图像;②利用全局灰度密度分布函数优化符号压力函数,改进...