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。     

川西义敦岛弧稻城花岗岩体和海子山花岗岩体锆石U-Pb年代学、Hf同位素特征及地质意义

义敦岛弧形成于晚三叠世大规模俯冲造山作用过程中,位于松潘-甘孜褶皱带和羌塘地体之间。稻城岩体和海子山岩体分别为义敦岛弧上出露的晚三叠世和白垩纪花岗质岩体。结合野外考察,本文对上述岩体进行岩相学、锆石U-Pb年代学和Hf同位素的研究,结果表明,1稻城岩体和海子山岩体主要矿物为斜长石、钾长石、石英和黑云母,副矿物为锆石、榍石、磁铁矿和磷灰石等;钠质斜长石颗粒,以及钾长石和石英不连续出现,表明二者均属于低熔线花岗岩,是含水条件下,在与造山事件有关的环境中形成。2稻城岩体的侵位年龄为217.4Ma,属晚三叠世花岗岩侵入体,εHf(t)为-7.1~-0.1,二阶段模式年龄(tDM2)为1.26~1.7Ga,表明在中元古代与扬子克拉通经历了共同的地壳演化历史;海子山岩体的形成时代为98.3 Ma,为白垩纪时期产物,εHf(t)变化于-12.1~+2.5,二阶段模式年龄(tDM2)变化于1.0~1.93Ga。3结合前人研究成果,本文认为稻城岩体源岩可能是与扬子克拉通有关的中元古代的下地壳物质,在甘孜-理塘洋俯冲闭合后的同碰撞造山阶段,因地幔岩浆底侵作用而发生了部分熔融,同时伴有少量的亏损地幔成分加入,之后上升侵位于中—上地壳,并且侵位后经历了快速的冷却过程。海子山岩体是与俯冲有关的造山后伸展环境下形成的A2型花岗岩,源岩主要为中元古代地壳物质,同样有少量地幔物质加入,在白垩纪时侵位于地壳较浅部位,之后亦同样经历了快速的冷却过程。     

季节性冰封热融浅湖水温原位观测及其分层特征

为探究季节性冰封浅湖热力学特征,于2010年10月至2013年7月对高原腹地一典型热融湖塘冰层生消、水/冰温及气象条件开展原位观测,分析了水温分布时间变化、温跃层以及冰生消对水温结构的影响。结果发现:冰面升华显著,贯穿整个冰期;水温日变化、季节变化和垂直结构受气温、大气辐射、风速、冰生消和湖底沉积层热贡献影响显著;在"无冰期-结冰前-冰生长期-冰融化期-融化后-无冰期"年循环过程中水温垂直结构分别呈现出"分层-翻转-逆温分层-逆温与正温共存-翻转-分层"的循环过程。分层期水温结构仅由上部混合层和温跃层构成,且偶因强风搅动而全湖翻转混合。可见,相比大中型湖泊,季节性冰封浅湖热力学结构差异显著。     

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.     

Coal-measure source rock characteristics and burial evolution history in the Shisanjianfang Area,Tuha Basin

Shisanjianfang Area in the eastern margin of Taibei Sag, Tuha Basin, is an important region for oil and gas exploration. In this study, a large number of source rock geochemical data were used to analyze the geochemical characteristics of coal-measure source rocks in the Shisanjianfang Area, Tuha Basin, from three aspects, i.e., organic matter abundance, organic matter type, and organic maturity. The results show that the Jurassic Xishanyao Formation (J₂x) in the study area has great thickness, continuous distribution, and high source rock maturity, and is the major source rock horizon in the study area. The seismic data are used in combination with 1D and 2D basin simulation technology to study the distribution characteristics of the source rocks in Shisanjianfang Area. The results of the simulation research on the source rock maturity history in the study area indicate the following: (1) The source rocks in the Xishanyao Formation (J₂x) have a hydrocarbon generation threshold depth of 1800 m, threshold temperature of 95 °C, and hydrocarbon generation threshold time of about 162 Ma. (2) The Xishanyao Formation (J₂x) has a current formation temperature of 50~110 °C and Ro of 0.6~1.1 % in the peak oil generation stage. (3) The source rock maturity in the study area is shown as being higher in the west while lower in the east, and higher in the north while lower in the south, and the favorable exploration area mainly lies in the northwest of the study area. The results of this study could have important implications for the oil and gas exploration in the margins of Xiaocaohu Sag, Tuha Basin.     

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.     

基于灵敏度分析的海洋油气资源BP神经网络预测模型的优化

作者针对BP神经网络结构设计中存在的问题,提出利用灵敏度分析方法对BP神经网络预测模型进行优化。通过BP算法与参数灵敏度分析的结合,寻找网络输入属性与输出属性之间的影响因子;在保证精度的前提下优选网络输入属性,简化网络结构,以增强网络的泛化能力,减少人为主观因素对网络设计的影响。最后以海洋油气资源预测为例,结合实测资料建立BP神经网络预测模型并进行了优化及预测精度评价,表明优化后的模型既能有效提高油气资源预测结果的稳定性,又不损失预测精度。