珠江口外陆架表层沉积物的地球化学分区

根据249个表层沉积物样品的Ca,Al,N,P,Mg,Fe,Mn,Ti和有机碳的测定数据,利用稳健RQ型主分量分析及Q型聚类分析方法,对珠江口外陆架表层沉积物进行了地球化学分类,并将该陆架区划分成陆源细碎屑沉积区、经叠加改造的残留泥砂质沉积区、生物碎屑沉积区以及高能环境下的石英砂质沉积区。结果表明了稳健统计方法相对于传统统计方法的优越性,以及采用稳健主分量的Q载荷进行聚类分析相对于用原始变量进行聚类分析的优越性。     

在舆情热点中开展防震减灾科普的思考

防震减灾科普工作应与时俱进,在舆论引导中体现更大作用,在舆情治理中承担更多责任。本文认为防震减灾科普具有重要的舆论引导作用。一是舆情热点为防震减灾科普提供了契机。二是舆情热点为防震减灾科普提供了内容。本文从3个方面提出了防震减灾科普的舆论引导策略。一是合理设置科普议程,掌握舆论引导主动权 ;二是借力新媒体传播技术,有意识地引导舆论;三是打好 “组合拳” ,形成舆论引导最大合力。本文认为应在舆情热点中积极主动做好防震减灾科普宣传,创新传播形式、方法,巧妙设置议程,全时空覆盖,全社会参与,构建政府、媒体和公众信息互通的良性舆论场,增强社会公众的风险意识和防灾减灾能力,真正筑牢风险防控的人民防线。     

关于层状岩体变形试验的建议方法

传统的岩体承压板法变形试验以假定岩体为半无限均质弹性介质为前提,只能得出一个综合（等效）的弹性（或变形）模量,对于水电工程中经常遇到的薄的软弱层带的模量不能测定。为此,需要在传统的岩体变形承压板法试验的基础上发展淅的层状岩体承压板法变形试验,它可以利用分层弹模计算的方法测定出软弱层带及其他各个岩层的模量,是岩石力学试验方法上的一次突破。笔者将首次系统地介绍这种新的试验原理、实施、分层弹模计算方法和工程应用。     

大兴安岭南段晚中生代侵入岩时空分布及主脊与东坡岩体特征对比

通过岩相学、地球化学、锆石U-Pb年代学对位于大兴安岭主脊上的马勒根坝岩体、朝阳沟岩体和大兴安岭东坡区域的野猪沟岩体、布敦化岩体的4个不同花岗岩岩体的岩石类型、主量和微量元素特征、年代学及构造背景进行对比分析,讨论了研究区在晚侏罗世—早白垩世的岩浆活动及地质背景。LA-ICP-MS锆石U-Pb年龄显示:主脊朝阳沟岩体和东坡布敦化岩体年龄分别为(154±1) Ma和(154.1±1.6) Ma,属于晚侏罗世岩体,主脊马勒根坝岩体和东坡野猪沟岩体年龄分别为(144.62±0.74) Ma和(140.2±2.7) Ma,属于早白垩世岩体。岩相学和地球化学特征显示:主脊岩体为高钾钙碱性-准铝质-过铝质花岗岩岩体,东坡岩体为钙碱性-高钾钙碱性-准铝质-弱过铝质TTG型岩体;主脊比东坡岩体更加亏损Ba、Nb、Sr、P、Ti、Eu元素,为高分异I型花岗岩,东坡岩体为正常的I型花岗岩。结合区域地质资料分析,认为在晚侏罗世—早白垩世伊泽奈崎板块NNW向俯冲和蒙古—鄂霍次克洋闭合共同作用于大兴安岭南段地区,在大兴安岭主脊形成断裂带,导致幔源岩浆上涌底侵下地壳而形成沿断裂带分布的花岗岩体;主脊处于碰撞向伸展...     

川中磨溪—高石梯地区下寒武统龙王庙组层序格架内滩体的发育演化特征及对储层的控制

川中磨溪—高石梯地区龙王庙组可划分为两个三级层序。通过大量岩心、薄片以及测井资料综合分析,磨溪—高石梯地区龙王庙期整体属于局限台地沉积,可划分为台内滩、滩间洼地以及潟湖亚相。以台内滩颗粒含量、沉积构造以及单层滩体沉积厚度为基础,结合测井响应特征分析,将台内滩划分为滩核、滩翼以及白云岩坪等微相,并建立了台内滩的3种典型沉积序列:滩翼—滩核—白云岩坪、潟湖—滩间洼地—台内滩,以及滩间洼地—台内滩。层序格架内台内滩的纵横向发育特征表明:SQ_2时期较SQ_1时期更为发育,滩体单层厚度和总厚度均较大,层序界面附近的滩核—白云岩坪沉积序列上部为最有利的储层发育相带。     

Seismic-induced rockfalls and landslide dam following the October 30, 2016 earthquake in Central Italy

On October 30, 2016, a seismic event and its aftershocks produced diffuse landslides along the SP 209 road in the Nera River Gorge (Central Italy). Due to the steep slopes and the outcropping of highly fractured and bedded limestone, several rockfalls were triggered, of which the main event occurred on the slope of Mount Sasso Pizzuto. The seismic shock acted on a rock wedge that, after an initial slide, developed into a rockfall. The debris accumulation blocked the SP 209 road and dammed the Nera River, forming a small lake. The river discharge was around 3.6 m³/s; the water overtopped the dam and flooded the road. By a preliminary topographic survey, we estimated that the debris accumulation covers an area of about 16,500 m², while the volume is around 70,000 m³. The maximum volume occupied by the pre-existing talus mobilized by the rockfall is about 20% of the total volume. Besides blocking the road, the rockfall damaged a bridge severely, while, downstream of the dam, the water flow caused erosion of a road embankment. A rockfall protection gallery, a few hundred meters downstream of the dam, was damaged during the event. Other elastic nets and rigid barriers were not sufficient to protect the road from single-block rockfalls, with volumes around 1–2 m³. Considering the geological and geomorphological conditions, as well as the high seismicity and the socioeconomic importance of the area, a review of the entire rockfall protection systems is required to ensure protection of critical infrastructure and local communities.     

Inter- and intra-annual trend analysis of water level and flow in the middle and lower reaches of the Ganjiang River,China

ABSTRACT

The Ganjiang River is the largest tributary of Poyang Lake in China, and its hydrological regime variation greatly affects the utilization of regional water resources and the ecological environment of the lake. In this study, a novel trend analysis method, the Moving Average over Shifting Horizon (MASH), was applied to investigate the inter- and intra-annual trends of flow and water level from 1976 to 2016 at the Xiajiang and the Waizhou hydrological stations in the Ganjiang River. The Significant Change Rate Method (SCRM) was proposed to determine the MASH averaging parameters. The trend analysis results show a statistically significant decrease in water level series throughout the year and the relationship of flow and water level have changed greatly at the Waizhou station. The sediment load reduction, large-scale sand mining and water level decrease of Poyang Lake are identified as the main causes for the water level decrease.     

弹性特征约束下的矿物成分页岩脆性评价方法研究

脆性评价对页岩储层可压裂性评估、设计压裂层段、提升压裂改造效果具有重要意义.但传统基于矿物成分的脆性评价方法将不同矿物成分对脆性指数贡献程度进行平均化, 忽略了不同矿物对岩石脆性影响的差异性.本文采用数字岩石物理实验来标定不同矿物成分对岩石脆性整体特征的影响程度, 定量分析了岩石弹性参数随矿物组分含量的变化关系, 采用基于弹性参数的脆性指数来建立不同矿物成分对页岩脆性的差异性影响关系, 建立不同矿物组分相较于黏土矿物与脆性指数的相对关系及敏感因子, 在弹性参数脆性指数的约束下确定了不同矿物成分在脆性指数中的权重, 提出了基于矿物成分贡献程度自适应变化的脆性评价方法.矿物脆性评价结果与弹性参数脆性评价结果的相关性分析及下寺湾地区岩样脆性评价测试表明, 考虑不同矿物成分的差异性所构建的脆性评价方法更加合理有效.

     

On the design of the PEPSI spectropolarimeter for the LBT

We present the design concept of the spectropolarimeter for the high‐resolution echelle spectrograph PEPSI tobe installed at the 2 × 8.4 m Large Binocular Telescope (LBT) in Arizona. We discuss the optical key elements, the principles of operations of the instrument and its instrumental polarization effects (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Elements’ Geochemical Characteristics of PM10 and PM2.5 in Beijing During Winter and Spring

From 2012 to 2013, heavy haze frequently hit Beijing in spring and winter. The fine atmospheric particulates can be inhaled by people, and remain in the respiratory tract and lung for quite a long time. The heavy metal elements in the particles are harmful, and even carcinogenic to human bodies. Therefore, it is necessary to master the geochemical characteristics and the temporal and spatial distribution of the heavy metal elements in atmospheric particles. The atmospheric particulates (TSP/PM₁₀/PM_2.5) were collected by using TH1500C intelligent medium volume (80~120 L/min) air samplers in the five functional areas and suburbs of Beijing, respectively in January 2013 (heating period) and April 2013 (non-heating period). The five functional areas were: building materials factory area, residential area, education area, business area and recreation area, each functional area having three sampling sites, and five in suburbs. The sampling height was 1.5 m above the ground and the distance of the sampling sites to roads exceeded 50 m so as to avoid excessive impact of vehicle exhaust emissions. These samples were analyzed by Inductively Coupled Plasma-Mass Spectrometry (ICP-MS), Inductively Coupled Plasma Optical Emission Spectrometer(ICP-OES)and Atomic Fluorescence Spectrometer (AFS), by which 21 elements including Al, Fe, Mn, As, Hg, Cd, Cr were tested. Based on the comparisons of the concentration and element content variation of atmospheric particulates of these functional areas in and after the heating period, the spatial distribution of atmospheric particulates and the influence of coal combustion on the concentration and composition of atmospheric particulates were revealed. The elements sources of atmospheric particulates were also discussed by computing the enrichment factor of the elements, providing a scientific basis for the air contaminant treatment in Beijing. The results showed that the total concentration of the 21 elements of PM₁₀ and PM_2.5 in the functional areas of Beijing in winter was higher than that in spring, the most marked among them being the business area. In winter, the concentration of pollution elements in the building materials factory area and the business area in Beijing was extremely high, and the residential area, education area, recreation area and suburbs where people live were much better, among which the education area was the best. The concentration change of particulates in suburbs was quite smaller in winter and spring than that of the urban area. It also showed that the concentrations of Cd, Cr, As and Hg in PM₁₀ increased by 233%,306%,298%,141%,respectively and the increase in PM_2.5 was 442%、309%、310%、256%, respectively. These abovementioned elements show a tendency to accumulate mainly in PM_2.5 whose concentrations in winter were significantly higher than those in spring. It indicates that coal heating during winter makes great contributions to the polluting elements in atmosphere and the main polluting particulates are Cd, As and Hg.