开敞式潮滩-潮沟系统发育演变动力机制——Ⅲ.海平面上升影响

为研究海平面上升对潮滩-潮沟系统的影响,以江苏中部粉砂淤泥质海岸为原型,建立变态物理模型,模拟研究在不同海平面潮汐过程作用下的潮沟发育和演变过程,分析了潮滩淹没历时、排水密度、潮沟断面形态等特征参数变化规律。研究表明:潮沟在发育初期伸长速率高于拓宽速率,最终趋于动态平衡;海平面上升后,潮滩淹没历时增加,露滩时间缩短,归槽水对潮沟底床的塑造作用减弱;平均归槽水流长度和Horton排水长度均随海平面上升呈现出减小趋势,潮沟的排水能力增强;潮沟断面宽深比服从对数正态分布,随着海平面上升,潮沟断面面积和宽深比均呈现出增大趋势,宽深比分布范围变广。     

Objective Analysis on Large-scale Circulation Type and Its Links to Precipitation over China

Atmospheric circulation anomaly is a direct cause of weather and climate change. In the past, most researches for the relationship between Weather Type (WT) and precipitation have mainly focused on the subjective classification and diagnosis. Compared to the subjective analysis, objective classification uses more consistent index and standard unification, thus, we can get more WTs, and it has been widely used in many areas. By using daily 12UTC Sea Level Pressure (SLP), Precipitable Water (PW), and 700 hPa wind speed (UV700) data from ECMWF’s Interim Reanalysis, the classification of WTs over China was performed with the method of obliquely rotated T-mode principle component analysis. WT and its link to precipitation over China were further analyzed. The results show that the influence of different WTs on precipitation is not uniform over China, and also show distinctly difference in different seasons. A common feature is that WTs great impact on the regions and months with large precipitation, while less impact on regions and months have with less precipitation. In addition, precipitation trends originating from WT intensity changes are much more deterministic, significant, and predictable than trends from WT frequency changes.     

江苏灌河入海口附近重金属元素环境地球化学质量分析

以往对灌河口附近海域进行地球化学调查发现,海底沉积物及海水质量总体良好,但局部沉积物中Cr含量高于一类标准,Cu、As、Pb、Hg等其他重金属元素含量也明显高于其他地区,个别重金属元素已接近一类标准最高限,存在潜在生态风险。为进一步了解其与人类活动是否有关,对灌河靠近入海口40 km长的河水进行了地球化学调查,发现灌河河水中Hg、Cu、Pb等重金属元素存在一定程度的超标现象。结合其他证据认为,人类活动不仅对灌河下游河水质量产生了负面影响,还对入海口附近的海域环境质量产生了潜在威胁。借鉴内梅罗综合指数评价思路对灌河下游及入海口的重金属元素环境质量进行评价,并对如何降低、消除生态风险提出了若干建议。     

内蒙古翁公敖包航磁异常的推断与解释

文章对内蒙古四子王旗—土默特右旗中北部近年发现的翁公敖包航磁异常进行推断与解释,在对找矿有望的航磁异常进行筛选后,对翁公敖包航磁异常进行了野外地质-地球物理查证,确定异常为铁矿所致;采用向上延拓、垂向导数、斜导数及小波变换等方法对航磁异常进行数据转换处理,以获取铁矿体的横向及纵向分布信息,取得了较好的效果。     

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.