内蒙古自治区重要矿种成矿规律综述   总被引：4，自引：1，他引：3  

许立权  张彤  张明  张玉清  张永清  康小龙  许展  韩宗庆 《矿床地质》2016,35(5):966-980

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。  相似文献   

遥感综合信息在宁芜地区找矿预测中的应用     

詹雅婷 《地质与勘探》2016,52(6):1087-1094

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。  相似文献   

鄂尔多斯盆地渭北隆起西南缘奥陶系热演化史恢复与生烃史——以麟游-旬邑地区为例     

曹展鹏  任战利  熊平  祁凯  陈占军 《地质学报》2016,90(3):513-520

本文应用古地温恢复法及盆地模拟法,恢复鄂尔多斯盆地渭北隆起西南缘奥陶系最大古地温梯度、热演化史和生烃史。根据钻孔测温曲线求得渭北隆起现今地温梯度为3.12℃/100m。该区在二叠纪和三叠纪进入快速沉降阶段,早侏罗世早白垩世进入缓慢沉降阶段,晚白垩世以来进入抬升剥蚀阶段,剥蚀厚度在1100~1300 m。旬邑地区奥陶系烃源岩在早二叠世约270 Ma进入生油窗,晚三叠世约210 Ma进入成熟生油阶段。晚侏罗世约150 Ma开始大量生气,在早白垩世末期96 Ma左右,地层达到最大埋深及最高古地温,达到生气高峰。热史恢复及模拟结果表明旬邑地区早白垩世地温梯度最高可达到5.0℃/100 m,是主要生气期。  相似文献   

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

Ju Weimin  Fang Hongliang  Tian Xiangjun  Jiang Fei  Zhan Wenfeng  Liu Yang  Wang Zhengxing  He Jianfeng  Wang Shaoqiang  Peng Shushi  Zhang Yongguang  Zhou Yanlian  Jia Binghao  Yang Dongxu  Fu Yu  Li Rong  Liu Jingxian  Wang Haikun  Li Guicai  Chen Zhuoqi 《地球科学进展》2016,31(11):1105-1110

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.  相似文献   

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

Qing Wang  Yuanyuan Kong  Wen Zhang  Jianping Chen  Peihua Xu  Huizhong Li  Yiguo Xue  Xiaoqing Yuan  Jiewei Zhan  Yujie Zhu 《Arabian Journal of Geosciences》2016,9(18):718

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.  相似文献   

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   总被引：2，自引：2，他引：0  

赵健  刘展 《海洋科学》2016,40(5):103-108

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。  相似文献   

Immobilization of copper under an acid leach of colloidal pyrite waste rocks by a fixed-bed column     

Yan Yang  Tianhu Chen  Ping Li  Chengsong Qing  Qiaoqin Xie  Xinmin Zhan 《Environmental Earth Sciences》2016,75(3):205

Colloidal pyrite waste rocks (CPWR) which are mainly composed of colloidal pyrite and siderite widely deposit in sulfide mines in the middle and lower reaches of the Yangtze River belt, China, especially in Tongling City, Anhui Province, China. In this paper, a fixed-bed column was used to investigate the weathering and oxidation of CPWR and its role in immobilizing low-concentration Cu (10 mg L^?1) under weakly acidic leach (pH = 5.0). The experimental results indicated that the breakthrough capacity was around 14.0 mg Cu g^?1 CPWR when Cu²⁺ breakthrough concentration was 0.5 mg L^?1. Sequential extraction of Cu and dithionite–citrate–bicarbonate extraction of free iron in the used CPWR after the column breakthrough indicated that Cu removal by CPWR consisted of the following processes: oxidation of pyrite and dissolution of siderite in CPWR, ferrous oxidation, and adsorption of Cu on ferric (hydr)oxides. This study shows the potential application of CPWR as an effective sorbent for the removal of low-concentration Cu from acid mine drainage.  相似文献   

Isotopic signatures of precipitation,surface water,and groundwater interactions,Poyang Lake Basin,China     

Lucheng Zhan  Jiansheng Chen  Shiyin Zhang  Ling Li  Dewen Huang  Tao Wang 《Environmental Earth Sciences》2016,75(19):1307

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Some Results of Oceanological Video Monitoring     

Fishchenko  V. K.  Dolgikh  G. I.  Zimin  P. S.  Subote  A. E. 《Doklady Earth Sciences》2018,482(1):1244-1247

The design features of an oceanological video-monitoring system created for operational research of coastal infrasonic wave processes are described. The results obtained confirm great opportunities for its use in fundamental and applied works in various seasons. The processing of the obtained experimental data has revealed the dynamics of the wave processes starting from wind waves to diurnal tides.

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Using landscape indicators and Analytic Hierarchy Process (AHP) to determine the optimum spatial scale of urban land use patterns in Wuhan,China     

Qiuping Huang  Jiejun Huang  Yunjun Zhan  Wei Cui  Yanbin Yuan 《Earth Science Informatics》2018,11(4):567-578

Quantifying land use patterns and functions is critical for modeling urban ecological processes, and an emerging challenge is to apply models at multiple spatial scales. Methods of determining the optimum scale of land use patterns are commonly considered using landscape metrics. Landscape metrics are quantitative indicators for analyzing landscape heterogeneity at the landscape level. In this study, due to their widespread use in urban landscape analyses and well-documented effectiveness in quantifying landscape patterns, landscape metrics that represent dominance, shape, fragmentation and connectivity were selected. Five metrics include Patch Density, Contagion, Landscape Shape Index, Aggregation Index and Connectivity. Despite a wide application of landscape metrics for land use studies, the majority mainly focuses on the qualitative analysis of the characteristics of landscape metrics. The previous models are limited in exploring the optimum scale of land use patterns for their lack of quantitation. Therefore, taking the City of Wuhan as an example, the land use unit was treated as a patch, and the landscape pattern metrics at different spatial scales were calculated and compared so as to find the optimum one. Furthermore, a mathematical model of landscape metrics was proposed to quantify the scale effect of urban land use patterns, generating a complementary tool to select the optimum scale. In addition, Analytic Hierarchy Process (AHP) was introduced to determine the respective weights of the chosen landscape metrics in this model. Fractal dimension was ultimately applied to verify the chosen optimum scale of our study region. The results indicated that 60 m is confirmed to be the optimum scale for capturing the spatial variability of land use patterns in this study area.  相似文献