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.     

Pattern and chronology of glacial Lake Peace shorelines and implications for isostacy and ice‐sheet configuration in northeastern British Columbia,Canada

Recognition of positions of glacial lakes along the margin of continental ice sheets is critical in reconstructing ice configuration during deglaciation. Advances in remote sensing technology (e.g. LiDAR) have enabled the generation of accurate digital‐elevation models (DEMs) that reveal unprecedented geomorphic detail. Combined with geographical information systems, these tools have considerably advanced the mapping and correlation of geomorphic features such as relict shorelines. Shorelines of glacial Lake Peace (GLP) developed between the Laurentide and Cordilleran ice sheets in northeastern British Columbia and northwestern Alberta. Shoreline mapping from high resolution DEMs produced more than 55 500 elevation data points from 3231 shorelines, enabling the identification of four major phases of GLP: Phase I (altitude 960–990 m a.s.l.); Phase II (890–915 m a.s.l.); Phase III (810–865 m a.s.l.); and Phase IV (724–733 m a.s.l.). The timing of Phase II of GLP is estimated by two optical ages of <16.0±2.5 and 14.2±0.5 ka BP. Extensive mapping of the shorelines allows for measuring of glacial isostatic adjustment as ice retreated. Shorelines currently dip to the northeast at around 0.4–0.5 m km^?1. This slope reflects the asynchronous retreat of the Cordilleran (CIS) and Laurentide (LIS) ice sheets. The relative uplift in the southwest of the study area within the Rocky Mountains and foothills suggests that the Late Wisconsinan (MIS 2) CIS persisted in the foothill after the LIS lost mass and retreated, or that the Late Wisconsinan CIS was very thick and caused deep crustal loading, which resulted in more uplift in the southwest before reaching equilibrium during, or shortly after deglaciation.     

New graphical methods for estimating aquifer hydraulic parameters using pumping tests with exponentially decreasing rates

Actual pumping tests may involve continuously decreasing rates over a certain period of time, and the hydraulic conductivity (K) and specific storage (S_s) of the tested confined aquifer cannot be interpreted from the classical constant‐rate test model. In this study, we revisit the aquifer drawdown characteristics of a pumping test with an exponentially decreasing rate using the dimensionless analytical solution for such a variable‐rate model. The drawdown may decrease with time for a short period of time at intermediate pumping times for such pumping tests. A larger ratio of initial to final pumping rate and a smaller radial distance of the observation well will enhance the decreasing feature. A larger decay constant results in an earlier decrease, but it weakens the extent of such a decrease. Based on the proposed dimensionless transformation, we have proposed two graphical methods for estimating K and S_s of the tested aquifer. The first is a new type curve method that does not employ the well function as commonly done in standard type curve analysis. Another is a new analytic method that takes advantage of the decreasing features of aquifer drawdown during the intermediate pumping stage. We have demonstrated the applicability and robustness of the two new graphical methods for aquifer characterization through a synthetic pumping test.     

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。     

我国尾矿综合利用研究现状及建议

尾矿资源综合利用问题已受到世界各国的重视,其对策已由消极的废物处理转向物质再回收,尾矿资源化的发展趋势越来越清晰。但是,我国尾矿综合利用率和发达国家相比还存在较大的差距。大量的尾矿积存,对矿山周边地区环境、土地利用造成了严重的影响。开展典型尾矿资源综合利用技术研究和推广尾矿资源产业化利用技术研究与推广,不但可使原来资源枯竭或资源不足的矿山焕发青春,而且还能够重新成为新的资源基地,以开辟新的材料科技领域,推动科技进步,同时也可以解决环境污染、改善生态环境和整治国土,具有巨大社会、经济和环境效益。因此尾矿的综合利用要做到国家重視、立法保障、评价先行、技术支撑、全部利用,才能真正解决尾矿污染等问题。     

Distribution and Characteristics of Dinosaur Eggs in China

正China is one of the most prolific countries for dinosaur material in the world,from skeletons to footprints and eggs.At present,China has documented more than 160kinds of dinosaur,35 genera and 39 ichnospecies of dinosaur footprints,and 17 genera and 44 oospecies of dinosaur eggs.The dinosaur eggs in China are mainly distributed in Xinjiang,Inner Mongolia,Ningxia,Gansu,     

Study on the Global Carbon Assimilation System Based on Multisource Remote Sensing Data

The Paris agreement signed in April, 2016 aims to balance global anthropogenic carbon emissions and terrestrial carbon sinks by the middle of the 21^st century. To fulfill this goal, it is necessary to calculate carbon fluxes of different regions reliably. The global carbon assimilation system is an effective technique for achieving this goal. The Ministry of Science and Technology of China supports the project entitled as study on the global carbon assimilation system based on multisource remote sensing data through the national key research and development programs for global change and adaptation during the thirteen-five period. This project will develop synergic inversion techniques for retrieving key parameters of biological and atmospheric cycles and for assimilating multisource remote sensing and ground based data. Then, the high resolution global carbon assimilation system coupled with an ecological model will be constructed. This system is able to assimilate jointly multisource observation data and to optimize key model parameters, photosynthesis and respiration carbon fluxes of global terrestrial ecosystems, and anthropogenic carbon emission fluxes of key regions. This system will be used to study quantitatively the spatial and temporal patterns of carbon fluxes of global terrestrial ecosystems and anthropogenic carbon emission fluxes of key regions and to identify the mechanisms driving the global terrestrial carbon sinks and sources. The outputs of this study will be helpful for the fulfillment of the key research and development programs for global change and adaptation and provide valuable data and technical support for the decision-making in China.     

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.