Two Phases of Mineralization in the Dabaoshan Polymetallic Deposit,Guangdong Province: Constraints from Re-Os Geochronology of Black Carbonaceous Mudstone and MolybdeniteEI北大核心CSCD

The Dabaoshan polymetallic deposit is a polygenetic composite ore deposit located at south of the Qinhang (Qinzhou-Hangzhou) Metallogenic Belt, which is composed mainly of SEDEX type Cu-Pb-Zn and porphyry-skarn type W-Mo orebodies. Systematic field study shows that the W-Mo mineralization exhibits as quartz-vein type and skarn type orebodies around the granodioritic porphyry, or superimposes on the SEDEX type Cu-Pb-Zn orebody, while the Cu-Pb-Zn mineralization occurs mainly in the Qiziqiao Formation as stratiform-substratiform type and breccia type orebodies with typical SEDEX-type characteristics. Re-Os dating of five molybdenite separates from porphyry-skarn type W-Mo orebodies yielded isochron ages of 163.6±1.0 Ma (MSWD=0.58), which represents the age of W-Mo mineralization. Re-Os dating of seven black carbonaceous mudstone samples from a Cu-Pb-Zn orebody yielded isochron age of 387.6±9.9 Ma (MSWD=56), which is interpreted to be the age of SEDEX-type Cu-Pb-Zn mineralization. These ages indicate that there are at least two stages of ore mineralization in the Dabaoshan polymetallic deposit. The W-Mo mineralization is related to the Yanshanian intermediated-acidic intrusions, while the stratiform-substratiform SEDEX-type Cu-Pb-Zn mineralization is associated with the Hercynian seafloor hydrothermal activities. © 2018, Science Press. All right reserved.     

Zircon U-Pb Geochronology,Geochemistry and Petrogenesis of Early Cretaceous A-type Granites in the Mikengshan Area,Southern Jiangxi ProvinceEI北大核心CSCD

In the Mikengshan-Yanbei area, a special region for the tin mineralization in South China, there are some Yanshanian granites and porphyries and associated porphyry tin deposits (e.g., Yanbei). Although the tin mineralization is closely associated with the granitoids magmatism, the age and petrogenesis of the granites remain controversial. The Mikengshan pluton, which intrudes into the rhyolitic tuff and pyroclastic rocks of the Upper Jurassic Jilongzhang Formation, is the largest one in Mikengshan-Yanbei area and mainly consists of K-feldspar bearing granites. In this study, we report new age and geochemical data for the Mikengshan K-feldspar bearing granites. LA-ICP-MS zircon U-Pb age dating shows that they were generated in the Early Cretaceous (~138 Ma). They have high SiO2 (74.42% to 76.69%), low Al2O3 (12.39% to 13.49%) and Mg# (11 to 19), and negative Eu, Sr and Ba anomalies, and are rich in potassium (most K2O/Na2O=1.37 to 1.94) and high field strength elements (HFSEs), and are weakly peraluminous (A/CNK=1.03 to 1.1) with high 10000×Ga/Al ratios (3.46 to 4.96) and slightly high zircon saturation temperatures (807 ℃ to 817 ℃), showing the characteristics of the typical A-type granites. Moreover, they have high Rb contents 842×10-6 to 1295×10-6, Rb/Sr (90 to 255) ratios and show rare earth elements (REE) tetrad effect, which are similar to those of high fractionated granites. Thus, we suggested that the Mikengshan K-feldspar bearing granites are high fractionated and aluminous A-type granite. Their slightly high εNd(t) values (-3.4 to -4.6) indicate that the mantle components should have played a role during their formation. Taking into account regional igneous rocks and tectonic setting data, we suggest that the Mikengshan K-bearing granites were formed in an extensional setting, which was probably related to the roll-back of the subducted Paleo-Pacific plate. © 2018, Science Press. All right reserved.     

TLS技术在环境地质灾害监测中的应用进展

针对地面三维激光扫描技术在环境地质灾害监测中的应用问题,该文在系统介绍此技术关键指标和数据处理的基础上,从滑坡监测、土壤侵蚀监测、敏感地貌微变形监测和水灾害边界追踪4个方面,详细介绍了该技术在环境地质灾害监测领域的应用历史和现状,其研究热点包括该技术在应用中的适宜性评价、监测精度评价、滤波算法的开发及灾害发生趋势预判等方面。另外,应用中高植被覆盖度和降雨天气的干扰问题可通过继续优化软硬件并加强与其他技术联合应用予以弥补。     

车载移动测量系统在城市树木普查中的应用

针对城市树木普查,现有的采集和管理方法浪费大量的人力和物力,难以实现数据的快速更新和科学管理的问题,该文将车载移动测量系统应用于城市树木普查工作。介绍了该应用的工作流程,阐述了数据采集、处理的具体过程,实现了基于ArcGIS二次开发软件平台自动或半自动提取树木的平面位置和确定树木冠幅、胸径、树高和树种等属性的功能,并且集成城市树木数据库与街景系统,实现城市树木可视化监测,以及精细化、动态化、信息化的管理。     

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.     

Mapping fine‐scale urban housing prices by fusing remotely sensed imagery and social media data

The accurate mapping of urban housing prices at a fine scale is essential to policymaking and urban studies, such as adjusting economic factors and determining reasonable levels of residential subsidies. Previous studies focus mainly on housing price analysis at a macro scale, without fine‐scale study due to a lack of available data and effective models. By integrating a convolutional neural network for united mining (UMCNN) and random forest (RF), this study proposes an effective deep‐learning‐based framework for fusing multi‐source geospatial data, including high spatial resolution (HSR) remotely sensed imagery and several types of social media data, and maps urban housing prices at a very fine scale. With the collected housing price data from China's biggest online real estate market, we produced the spatial distribution of housing prices at a spatial resolution of 5 m in Shenzhen, China. By comparing with eight other multi‐source data mining techniques, the UMCNN obtained the highest housing price simulation accuracy (Pearson R = 0.922, OA = 85.82%). The results also demonstrated a complex spatial heterogeneity inside Shenzhen's housing price distribution. In future studies, we will work continuously on housing price policymaking and residential issues by including additional sources of spatial data.     

基于阜新市的土壤多样性与土地利用类型关联性分析

以阜新市为研究对象,将土地利用动态演变的模拟和预测以及关联分析测度方法应用于土壤多样性和土地利用类型关联性分析的研究中。选取1985—2015年间8个时期的遥感影像进行土地利用分类,并基于土壤矢量数据,对阜新市土壤和土地利用的多样性进行初步分析和定量化研究,探究了土壤与土地利用之间的关联性。研究结果表明:对阜新市土壤多样性指数影响因子的关联度从大到小依次是城镇、农用地、林地、水域、其他,关联度值分别为0.850 6、0.747 7、0.779 5、0.803 3、0.641 9,选取城镇、农用地、林地和水域这4个因子作为多元线性回归模型中的自变量参数,对土壤多样性指数进行预测,得到相关系数R=0.990,因此,4个因子对土壤多样性指数影响具有较强的关联性。由此可见,大规模土地利用变化是引起土壤多样性变化的一个首要驱动因子。     

二三维一体化的城市三维仿真应用系统设计与实现——以琶洲为例

随着城市化进程的深入发展,传统二维GIS应用系统的空间分析与表达已无法满足城市信息化管理的需求。三维GIS系统相对于二维GIS系统具有直观、准确的优点,是支撑智慧城市建设的核心技术。本文以广州市海珠区琶洲街为范围,设计了二三维一体化的城市三维仿真应用系统的体系结构,介绍了系统建设的技术路线,最后对应用系统的部分软件功能予以展示。本系统建设流程主要包括数据建设和应用系统开发两大部分,本文均予以详细阐述。由于需对海量的二三维数据进行融合存储并实时调度,而本系统底层利用的Skyline三维引擎支持实时的超大数据融合,因此,本系统具有良好的三维数据运载能力。     

渤海湾盆地南堡凹陷南部深层沙一段优质碎屑岩储层特征及成因机制

利用岩芯、薄片、扫描电镜和分析化验等资料,对南堡凹陷南部深层古近系沙一段（沙河街组一段）优质碎屑岩储层特征进行了分析并揭示其成因机制。研究表明：①南堡凹陷南部沙一段优质碎屑岩储层属于低孔中渗储层,发育原生孔隙、次生孔隙和微裂缝;②沙一段沉积期处于强水动力沉积环境,辫状河三角洲前缘水下分流河道砂体普遍发育,岩性主要为中粗砂岩、含砾砂岩和砂砾岩等粗岩性,岩石类型主要为岩屑长石砂岩,石英、岩浆岩岩屑等刚性组分含量高,储层在强压实作用下仍保留了局部原生残余粒间孔,部分刚性组分强压条件下形成微裂缝;③沙一段与东三段为区域不整合接触,大气水的酸性流体在成岩初期以及烃源岩成熟之后产生的有机酸在成岩后期通过油源断裂和不整合面进入储层,造成长石、易溶碎屑等组分溶蚀形成次生孔隙,溶蚀作用不仅增加孔隙空间,而且扩大喉道宽度。结论认为：粗岩性和高刚性颗粒含量为原生孔隙的保存提供了物质基础;油源断层、不整合面为酸性流体的进入提供路径,促进了次生孔隙发育。     

Identifying rainfall threshold of flash flood using entropy decision approach and hydrological model method

Natural Hazards - Flash flood disaster, with strong suddenness and tremendous destructiveness, is one of the most severe natural disasters in China that seriously threaten the lives and property...