甘肃北山老金厂金矿床载金矿物特征、原位硫同位素组成及其对成矿的指示意义

老金厂金矿床是北山成矿南带最具代表性的中低温岩浆热液型金矿床之一,其规模为中型。依据脉体穿插、矿物共生组合和矿石结构构造等特征,将矿床矿化作用过程划分为石英-黄铁矿阶段（Ⅰ）、石英-含砷黄铁矿-毒砂阶段（Ⅱ）、石英-黄铁矿-多金属硫化物阶段（Ⅲ）和石英-方解石阶段（Ⅳ）。利用电子探针研究了不同成矿阶段载金矿物的元素组成及其分布规律。Ⅰ阶段：黄铁矿以粗粒自形立方体为主,粒度为0.50~1.50 mm,贫As、Au;毒砂含量极少,呈细粒他形。Ⅱ阶段：含砷黄铁矿周围常有大量毒砂产出,含砷黄铁矿多为立方体、五角十二面体,粒度为0.30~1.00 mm,富As、Au;该阶段矿化最为强烈,毒砂主要形成于此时期,多呈棱柱状、柱状、放射状集合体,显示富S亏As特征。Ⅲ阶段：多以黄铁矿-黄铜矿-闪锌矿共生组合脉的形式产出,黄铁矿多呈长条状,以富S、Cu、Zn、Au和贫Fe、As为特征。Ⅳ阶段：矿化作用极弱,毒砂、黄铁矿含量极少,为细粒他形。原位硫同位素组成显示：Ⅰ阶段黄铁矿δ³⁴S_V-CDT值为-3.8‰~-2.9‰,均值为-3.3‰;Ⅱ阶段黄铁矿和毒砂δ³⁴S_V-CDT值为-4.7‰~2.6‰,均值为-3.3‰;Ⅲ阶段黄铁矿和闪锌矿δ³⁴S_V-CDT值主要分布于-1.9‰~1.0‰之间,均值为0.1‰。此3个阶段硫同位素组成反映了成矿期硫主要来源于幔源岩浆,混入了部分地层硫。综合前人研究成果,认为成矿早期至晚期,成矿流体总体上由富S贫As向富As贫S演化。Ⅰ阶段体系处于中性稳定的环境,硫源充足;Ⅱ阶段为贫S富As的高氧逸度环境,由于大气降水对地层的淋滤渗透,混入富As流体,Au可能与As结合形成Au-As络合物,在成矿有利部位富集沉淀;Ⅲ阶段成矿元素种类丰富,体系为富S贫As的弱还原环境,Au很可能与HS^-、S^-形成络合物进入黄铁矿晶格。     

海岸沙席形态及近表层沉积物粒度对台风的响应

依据2014年第10号强台风“麦德姆”登陆前后福建平潭岛典型海岸沙席的形态观测与近表层沉积物粒度数据,综合分析了海岸沙席对台风的响应特征。结果表明：① 海岸沙席形态对“麦德姆”的响应明显,主要表现为沙席前缘高程降低（最大侵蚀深度为0.40 m）,中部变化较小（-0.06~0.09 m）,后缘明显升高（最大堆积厚度为1.62 m）,沙席体积增大2.02%。② 海岸沙席近表层沉积物粒度受“麦德姆”影响较小,其粒度参数在台风前后并无质的等级性变化。③ 海岸沙席的台风响应特征主要因台风过程中大风的非选择性侵蚀和搬运及海岸沙席与海滩沙粒度的相近性所造成的,同时也受到周边地势及植被等的影响。     

Effects of land use and cultivation time on soil organic and inorganic carbon storage in deep soils

The vertical distribution and exchange mechanisms of soil organic and inorganic carbon(SOC, SIC) play an important role in assessing carbon(C) cycling and budgets. However, the impact of land use through time for deep soil C(below 100 cm) is not well known. To investigate deep C storage under different land uses and evaluate how it changes with time, we collected soil samples to a depth of 500 cm in a soil profile in the Gutun watershed on the Chinese Loess Plateau(CLP); and determined SOC, SIC, and bulk density. The magnitude of SOC stocks in the 0–500 cm depth range fell into the following ranking: shrubland(17.2 kg m~(-2)) grassland(16.3 kg m~(-2)) forestland(15.2 kg m~(-2)) cropland(14.1 kg m~(-2)) gully land(6.4 kg m~(-2)). The ranking for SIC stocks were: grassland(104.1 kg m~(-2)) forestland(96.2 kg m~(-2)) shrubland(90.6 kg m~(-2)) cropland(82.4 kg m~(-2)) gully land(50.3 kg m~(-2)). Respective SOC and SIC stocks were at least 1.6-and 2.1-fold higher within the 100–500 cm depth range, as compared to the 0–100 cm depth range. Overall SOC and SIC stocks decreased significantly from the 5 th to the 15 th year of cultivation in croplands, and generally increased up to the 70 th year. Both SOC and SIC stocks showed a turning point at 15 years cultivation, which should be considered when evaluating soil C sequestration. Estimates of C stocks greatly depends on soil sampling depth, and understanding the influences of land use and time will improve soil productivity and conservation in regions with deep soils.     

西藏安多剖面沉积物粒度特征及环境意义

对西藏安多剖面的3个层位沉积物与两个现代流动沙丘表层沉积物粒度组成、传统粒度参数及体积分维值进行了对比分析,探讨其粒度特征以及环境指示意义。结果表明：安多剖面的3层代表了3个不同的气候阶段,第一层（0～172 cm）沉积动力为风,其中在0.44～1.08 m深度处是一次风力加强的阶段,第二层（172～224 cm）、第三层（224～232 cm）均在6 Φ附近出现次峰,悬浮组分明显增加,推断为远距离输送的粉砂级颗粒沉降,表明这两个阶段风力有所减弱;安多剖面颗粒比研究区现代流动沙丘颗粒细,表明剖面可能为固定或半固定沙丘沉积;本研究区样品的体积分维值在0.215～1.77,虽然没有实际的物理意义,但作为粒度参数指标,在指示环境变化上是有效的,并且与粘粒、粉砂含量呈现明显的正相关关系,与细砂呈现明显的负相关关系。     

基于GP RMax的隧道衬砌检测数值模拟及应用

利用基于时间域有限差分法( FDTD)的GPRMax,针对常用的400、900、1500 MHz三种不同中心频率的天线,数值模拟了隧道衬砌不同钢筋网密度、不同钢筋直径及其下方的钢拱架、空气界面等目标体的探地雷达反射及干扰信号图像特征;在混凝土试件上开展实验研究,并运用克希霍夫积分偏移处理了数值模拟和实验数据,压制了钢筋的绕射波和多次波,提高了钢筋网下方弱反射信号的成像效果;通过对比分析数值模拟、实验测量和工程实测结果,为探地雷达在隧道衬砌检测中取得更好的探测效果提供了借鉴。     

基于DEM的莱州湾南岸典型水系河间地提取及区域地貌演化研究

以SRTM3-DEM为数据源,在ArcGIS支持下,采用水文分析以及DEM分析数据与地质图、卫星图像和地形图区域数据综合对比分析,结合实地调查及前人研究成果,对莱州湾南岸的弥河、白浪河、潍河3条典型河流河网河间地的提取进行了研究,并对不同流域河间地比率的空间关系、流域地貌侵蚀对比与区域变化、全新世河型及河型转换以及区域地貌发展阶段进行了研究.通过DEM的水文分析、河网提取、河间地制图,得到了每条河流、每种累积流量取值下河网中的河间地,从而提出了快速提取河间地的一种新方法.区域空间上,河间地比率自西向东存在弱的增大变化.流域侵蚀综合分析表明:3条河流曾明显下切,即西部的弥河以单河道截切式下切; 中部的白浪河以拓展式下切; 东部的潍河呈嵌入式下切.表明西部侵蚀下切幅度大于东部(西部河流侵蚀速度快于东部),从而印证了河间地比率西小、东大的空间变化.对古河型(/河网)分析表明,全新世以来有网状河、扇状分汊河、汇聚型河、顺直河和曲流河5种河型.河型转换受控于气候变化、基准面下降和不均衡的构造抬升.将研究区全新世的河流地貌演化分为全新世早阶段、全新世中期早阶段、全新世中期晚阶段、全新世晚期早阶段和全新世晚期晚阶段5个阶段.     

The use of digital technologies for landslide disaster risk research and disaster risk management: progress and prospects

Landslide is a serious natural disaster next only to earthquake and flood, which will cause a great threat to people’s lives and property safety. The traditional research of landslide disaster based on experience-driven or statistical model and its assessment results are subjective , difficult to quantify, and no pertinence. As a new research method for landslide susceptibility assessment, machine learning can greatly improve the landslide susceptibility model’s accuracy by constructing statistical models. Taking Western Henan for example, the study selected 16 landslide influencing factors such as topography, geological environment, hydrological conditions, and human activities, and 11 landslide factors with the most significant influence on the landslide were selected by the recursive feature elimination (RFE) method. Five machine learning methods [Support Vector Machines (SVM), Logistic Regression (LR), Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Linear Discriminant Analysis (LDA)] were used to construct the spatial distribution model of landslide susceptibility. The models were evaluated by the receiver operating characteristic curve and statistical index. After analysis and comparison, the XGBoost model (AUC 0.8759) performed the best and was suitable for dealing with regression problems. The model had a high adaptability to landslide data. According to the landslide susceptibility map of the five models, the overall distribution can be observed. The extremely high and high susceptibility areas are distributed in the Funiu Mountain range in the southwest, the Xiaoshan Mountain range in the west, and the Yellow River Basin in the north. These areas have large terrain fluctuations, complicated geological structural environments and frequent human engineering activities. The extremely high and highly prone areas were 12043.3 km² and 3087.45 km², accounting for 47.61% and 12.20% of the total area of the study area, respectively. Our study reflects the distribution of landslide susceptibility in western Henan Province, which provides a scientific basis for regional disaster warning, prediction, and resource protection. The study has important practical significance for subsequent landslide disaster management.     

WRF模式对乌鲁木齐机场一次冻雾天气的数值预报对比试验分析

利用WRF模式和GFS资料对2016年11月28—29日乌鲁木齐机场一次冻雾天气过程进行预报,针对不同微物理过程、近地层、陆面过程、边界层等方案设计了13个预报方案组合,并将预报结果与观测资料进行对比分析发现,此次冻雾过程预报中,模式对陆面过程、近地层、边界层等参数化方案组合较为敏感,最优方案组合微物理过程为WDM6、近地层方案为QNSE,陆面过程方案为Noah,边界层方案QNSE。以最优的方案组合预报结果对此次冻雾进行分析,发现利用模式预报的环流形势、层结条件、温湿条件、混合条件等能够很好的判断出此次冻雾过程。就此个例而言,WRF模式预报的机场上空稳定层的变化,湿层结构、风场的水平和垂直结构等,对冻雾的生消以及冻雾过程中的能见度变化有一定的指示意义。     

西藏狮泉河地区高钾-钾玄质火山岩的岩石学、地球化学及锆石U-Pb年龄

报道的高钾-钾玄质火山岩位于狮泉河镇南东方向约20km处,向东延伸。高钾-钾玄质火山岩SiO2变化于60.35%~68.68%之间,属中酸性岩范畴;具有高的K2O+Na2O含量（8.8%~10.66%）,K2O/Na2O值在1.92~2.49之间,MgO含量较低,介于0.88%~3.47%之间,Al2O3含量为14.02%~14.91%,属于高钾-钾玄质系列。岩石强烈富集大离子亲石元素（LILE）Rb、Ba、Th、U和轻稀土元素（LREE）,高场强元素（HFSE）Nb、Ta、Ti具有明显负异常,Cr、Ni、Co相容元素含量低于或接近地壳的平均含量,结合Th/Yb-Ta/Yb、（Th×100）/Zr-（Nb×100）/Zr判别图及La-La/Yb图解,暗示岩浆源区可能为下地壳。在左左乡南东约2km处和狮泉河水泥厂北东约1km处各采集1个高钾-钾玄质火山岩样品,对其中的锆石进行LA-ICP-MS U-Pb同位素测定,得到的206Pb/238U年龄加权平均值分别为22.04±0.42Ma和22.29±0.31Ma,此年龄被解释为狮泉河一带高钾-钾玄质火山岩的喷发时代,即中新世阿启塔期。由此表明,该火山岩是印度板片向北俯冲时在狮泉河一带俯冲板片断离,岩浆发生部分熔融的产物。     

贵州草海湿地不同生境周丛生物碳、氮、磷生态化学计量学

为深入了解湿地周丛生物碳(C)、氮(N)、磷(P)生态化学计量的变化规律及其影响因素,对贵州草海湿地4种不同生境(湖滨带、人工湿地、农田沟渠、污水处理厂)中周丛生物两个生长阶段(生长期和衰老期)的C、N、P生态化学计量学进行了研究.结果表明:水体营养指数依次为污水处理厂(51.55±4.50)＞农田沟渠(50.41±4...