东昆仑西段原特提斯洋洋盆闭合时间——来自新疆木孜塔格地区同碰撞花岗岩的证据

通过对东昆仑造山带西段木孜塔格地区二长花岗岩的锆石U-Pb年龄和地球化学数据研究,探讨其成因及构造环境,为东昆仑造山带的构造演化提供新信息。对木孜塔格地区出露的中粗粒二长花岗岩和中细粒二长花岗岩进行了LA-ICP-MS锆石U-Pb测年,获得其206Pb/238U年龄加权平均值分别为415±4 Ma（MSWD=2.9）和419±6 Ma（MSWD=4.3）,表明该花岗岩形成于早泥盆世。全岩地球化学分析结果显示,木孜塔格地区中粗粒和中细粒二长花岗岩均具有高硅、低镁和低钛特征,铝饱和指数大于1.0,主体为钙碱性弱过铝质花岗岩系列。稀土元素配分图和微量元素蛛网图显示,2类花岗岩富集轻稀土元素和Rb等元素,而亏损Nb、Ta、Yb、Y等高场强元素,结合CaO/Na2O和Al2O3/TiO2值及区域地质资料,推测木孜塔格地区花岗岩应形成于同碰撞构造环境,且岩浆源区为贫粘土沉积物的陆壳。综合造山带已有研究成果,提出东昆仑造山带原特提斯洋的闭合在时空上表现出差异性,整体呈现出纵向上北部和中部早于南部,横向上东段早于西段的特征。     

洞庭湖中枯水期水情变化及其驱动因素

为揭示洞庭湖中枯水期水情变化特征及其驱动因素,采用长短期记忆神经网络模拟洞庭湖出湖流量及湖区水位,通过情境模拟开展水情变化归因分析。洞庭湖1992—2019年9—10月出湖流量大幅减少,主要受长江流量降低的影响。洞庭湖中枯水期水位主要呈下降趋势,其中9—10月平均水位在西洞庭湖、南洞庭湖降幅约1 m,在东洞庭湖降幅约2 m。地形变化对中枯水期水位主要起拉低作用,长江和流域四水流量变化在9—10月起拉低作用、在12月至次年3月起抬升作用,其中对东洞庭湖水位的影响相对更为显著。研究结果可为洞庭湖中枯水期水资源管理和湿地保护提供参考。     

"2007.4.1"四川盆地强寒潮天气过程分析

利用T213 1°×1°和欧洲中心实时资料,对2007年4月l～3日四川盆地区域性寒潮天气过程的环流背景及影响系统进行了分析,结果表明:500 hPa乌拉尔山到贝加尔湖以东为宽广深厚的低压带,地面上巴湖附近为冷高压,此冷高压在500 hPa脊前西北气流的引导下东移南压,是造成此次寒潮大风天气的主要原因;而且低空急流也对降温有一定的作用.     

探地雷达技术在铁路隧道监测中的应用

周边工程施工威胁着铁路隧道运营安全,为了实时了解铁路隧道结构变化情况,需要进行隧道监测.探地雷达具有较好的探测和显示功能,常用于建筑结构物体的无损探测.为了弥补测绘技术不能探测隧道内部结构体的不足,将探地雷达技术应用于隧道结构监测.着重介绍了隧道探测的技术特点和探测参数设置,根据隧道介质反射图像特征,确定隧道内部结构信...     

利用四元数描述线阵CCD影像的空间后方交会

将四元数理论引入高分辨率线阵CCD影像的空间后方交会解算中,提出了一种利用四元数描述线阵CCD影像的单片空间后方交会方法。该方法利用四元数描述角度旋转矩阵,对严格的共线条件方程进行线性化,并采用正则化的数学方法克服线阵CCD影像外方位元素的相关性。试验证明了本算法的正确性和可靠性。     

Piecewise prediction model for watershed‐scale erosion and sediment yield of individual rainfall events on the Loess Plateau,China

Establishing a universal watershed‐scale erosion and sediment yield prediction model represents a frontier field in erosion and soil/water conservation. The research presented here was conducted on the Chabagou watershed, which is located in the first sub‐region of the hill‐gully area of the Loess Plateau, China. A back‐propagation artificial neural model for watershed‐scale erosion and sediment yield was established, with the accuracy of the model, then compared with that of multiple linear regression. The sensitivity degree of various factors to erosion and sediment yield was quantitatively analysed using the default factor test. On the basis of the sensitive factors and the fractal information dimension, the piecewise prediction model for erosion and sediment yield of individual rainfall events was established and further verified. The results revealed the back‐propagation artificial neural network model to perform better than the multiple linear regression model in terms of predicting the erosion modulus, with the former able to effectively characterize dynamic changes in sediment yield under comprehensive factor conditions. The sensitivity of runoff erosion power and runoff depth to the erosion and sediment yield associated with individual rainfall events was found to be related to the complexity of surface topography. The characteristics of such a hydrological response are thus closely related to topography. When the fractal information dimension is greater than the topographic threshold, the accuracy of prediction using runoff erosion power is higher than that of using runoff depth. In contrast, when the fractal information dimension is smaller than the topographic threshold, the accuracy of prediction using runoff depth is higher than that of using runoff erosion power. The developed piecewise prediction model for watershed‐scale erosion and sediment yield of individual rainfall events, which introduces runoff erosion power and runoff depth using the fractal information dimension as a boundary, can be considered feasible and reliable and has a high prediction accuracy. Copyright © 2013 John Wiley & Sons, Ltd.     

The effect of expansion ratio on the critical Reynolds number in single fracture flow with sudden expansion

Flow in a single fracture (SF) is an important research subject in groundwater hydrology, hydraulic engineering, radioactive nuclear waste repository and geotechnical engineering. An abruptly changing aperture is a unique type of SF. This study discusses the relation between the values of the critical Reynolds number (Re_c) for the onset of symmetry breaking of flow and the expansion ratio (E) of SF, which is defined as the ratio between the outlet (D) and inlet (d) apertures. This study also investigates the effect of inlet aperture d on Re_c for flow in an SF with abruptly changing apertures (SF‐ACA) using the finite volume method. Earlier numerical and experimental results showed that flow is symmetric in respect to the central plane of the SF‐ACA at small Reynolds number (Re) but becomes asymmetric when Re is sufficiently large. Our simulations show that the value of Re_c decreases with the increasing E, and the relationship between the logarithm of Re_c and E can be described accurately using either a quadratic polynomial function or a logarithmic function. However, the relationship of Re_c and d for a given E value is vague, and Re_c becomes even less sensitive to d when E increases. This study also reveals that the hydraulic gradient (J) and flow velocity (v) follow a super‐linear relationship that can be fitted almost perfectly by the Forchheimer equation. The inertial component (J_i) of J increases monotonically with Re, whereas the viscous component (J_v) of J decreases monotonically with Re. The Re value corresponding to equal inertial and viscous components of J (named as the transitional point Re) decreases when E increases, and such a transitional point Re should be closely related to the critical Reynolds number Re_c, although a rigorous theoretical proof is not yet available. Copyright © 2015 John Wiley & Sons, Ltd.     

内蒙古自治区重要矿种成矿规律综述

2007~2013年开展的内蒙古矿产资源潜力评价项目,对铁、铜、铅锌、金、银、钨、钼、铬、镍等重要矿种进行了区域成矿规律总结,为矿产资源潜力评价提供了基础资料。文章即是对该项工作部分成果的概括总结。主要进展包括:在全国Ⅲ级成矿区带划分的基础上,首次进行了覆盖全自治区的Ⅳ级成矿亚带的划分,共划分出34个Ⅳ级成矿亚带;对内蒙古铁、铜等11个重要矿种的主要矿床类型及成矿特征进行了概述,对其时空分布规律做了归纳,认为全区70%以上的矿床数量和资源储量均集中在Ⅲ_5、Ⅲ_6、Ⅲ_8、Ⅲ_10和Ⅲ_11五个成矿区带。此外,不同矿种甚至同一矿种,由于成矿地质背景的差异,在不同的三级区带中的分布也不一样。主要成矿期为元古宙和中生代,次为太古宙和晚古生代,不同矿种的重要成矿期也不完全相同。从区域演化的角度探讨了构造与成矿的关系,认为不同的构造演化阶段形成不同的矿床类型和不同矿种的矿床,其中,古大陆边缘裂谷带以白云鄂博式铁_稀土元素矿床为代表,而大兴安岭岩浆岩带则以产出与燕山期中酸性火山侵入杂岩有关的多金属矿产为特点。     

遥感综合信息在宁芜地区找矿预测中的应用

为了研究宁芜北段火山岩盆的矿产资源潜力及空间分布,本文以Landsat8中分辨率遥感数据及Pleiades1高分辨率遥感数据为数据源,综合运用目视解译法和多种遥感图像增强技术,结合区域成矿地质背景,对研究区进行了遥感影像解译,提取了与预测矿种密切相关的线、环、色、带、块遥感五要素。通过分析遥感五要素矿产地质特征与矿产点分布关系表明,研究区内的铁铜硫金矿床及星罗棋布的矿点大部分位于构造岩浆成矿亚带中,受区内北东向、东西向、北西向及其它断裂纵横交叉形成的断裂网格及火山机构控制,大多分布在数条断裂带交汇位置,另有一些分布在断裂带与环形构造的交汇处附近。基于主要的矿点受区内断裂网格及火山机构控制,遥感图像的综合地质信息特征与找矿目标紧密相联,说明了基于遥感图像的综合信息可以作为找矿预测的标志。     

Regional debris flow susceptibility analysis based on principal component analysis and self-organizing map: a case study in Southwest China

A method was developed to analyze the susceptibilities of 541 regional basins affected by debris flows at the Wudongde Dam site in southwest China. Determining susceptibility requires information on source material quantity and occurrence frequency. However, the large number of debris flows can hinder the individual field investigation in a each small basin. Factors that may trigger debris flows can be identified using remotely sensed interpretation information. Susceptibility analysis can then be conducted based on these factors. In this study, SPOT5 satellite imagery, digital elevation models (DEM), a lithology distribution map, and rainfall monitoring data were used to identify 12 debris flow trigger factors: basin relief ratio, slope gradient in the initiation zone, drainage density, downslope curvature of the main channel, vegetation coverage, main channel aspect, topographic wetness index, Melton’s ruggedness number, lithology, annual rainfall, form factor, and cross-slope curvature of the transportation zone. Principal component analysis was used to obtain the eight principal components of these factors that contribute to susceptibility results. Then, a self-organizing map method was adopted to analyze the principal components, which resulted in a debris flow susceptibility classification. Field validation of 26 debris flow basins was used to evaluate the errors of the susceptibility classification, as well as assess the causes of such errors. The study found that principle component analysis and self-organizing map methodologies are good predictors of basin susceptibility to debris flows.