西藏大冈底斯北部金属矿床成矿系列研究   总被引：1，自引：0，他引：1  

罗梅  潘凤雏  李巨初  徐志忠  邓午忠  李关清  刘丽君 《地质学报》2015,89(4):715-730

依据近年西藏自治区矿产资源大调查的资料与西藏自治区矿产资源潜力评价研究获得的系统、详细的矿产资源资料,编写论述了西藏大冈底斯北部(包括班公湖-怒江成矿带、北冈底斯成矿带、中冈底斯成矿带三个成矿带)的矿产地质特征及成矿分布规律与成矿系列。班公湖-怒江成矿带包括燕山早期(洋盆形成时期,如东巧铬矿)及燕山中晚期(陆内俯冲挤压时期,如屋索拉金矿)岩浆作用有关矿床成矿系列和那曲-洛隆盆地与喜马拉雅期流体作用有关(如纳多弄铅矿)矿床成矿系列;北冈底斯成矿带矿床主要分布在申扎—嘉黎一线的北部地区(亦称冈底斯北矿带),包括玉古拉镍矿(燕山早期,岩浆岩型)、舍索铜矿(燕山中晚期,矽卡岩型为主)、尤卡朗-昂张铅矿(燕山中晚期,热液型为主)、俄龙呷砷矿(燕山晚期—喜马拉雅早期,流体-改造型为主)四个地区不同类型矿床成矿系列;中冈底斯成矿带包括近东西向两个成矿亚带,北边为革吉-雄巴-文部成矿亚带燕山中晚期(如尕尔铜金矿)及狮泉河-申扎弧-盆系演化期岩浆热液成矿作用的矿床成矿系列,南边为朗久-塔诺错-纳木错成矿亚带喜马拉雅中晚期(如甲岗钨钼铋矿)岩浆热液成矿作用的矿床成矿系列。  相似文献   

中国银矿的资源特征及成矿规律概要   总被引：1，自引：0，他引：1  

张大权  江彪  王登红  王成辉  陈毓川  白鸽 《地质学报》2015,89(6):1008-1025

中国银矿资源丰富,成矿地质条件优越,主要以共伴生为主,近年来独立银矿找矿也取得一些进展。本文系统搜集了国内外银矿数量与规模、储量和分布等内容,梳理了中国银矿资源分布及储量分布规律,总结了中国银矿资源特点。在对全国490处银矿矿产地资料系统梳理的基础上,深入总结了中国银矿的成矿规律,划分了海相火山沉积型、陆相火山次火山岩型、矽卡岩型、热液型(脉型和层控型)、沉积变质型、沉积型和新生风化淋积型等7个银矿预测类型,其中前4个应该作为重点预测类型,并划分出32个成银带,编制了"中国成银带分布图",为中国银矿资源潜力评价和勘查部署提供了理论依据。  相似文献   

震前电离层TEC异常探测方法的研究进展     

黄海莎  刘庆元 《测绘与空间地理信息》2015,(1)

介绍了震前电离层TEC异常探测原理的研究进展和主要的异常探测方法,详细介绍了时间序列法、Kalman滤波和小波变换在电离层异常探测中的原理和应用,总结了传统方法和新方法在电离层异常探测的应用发展情况,并分析了每种方法的优势与不足。为未来中国采用电离层异常探测开展地震预测工作提出了建议。  相似文献   

区域CORS网坐标时间序列周期特征分析     

黄焱  田林亚  孙腾科  马丙浩 《测绘与空间地理信息》2015,(9):139-141

通过精密单点定位的方法获取了区域CORS网各基准站的坐标时间序列,并利用最大似然估计法和频谱分析法对其32个基准站坐标时间序列的周期特征进行了分析,获取了各基准站年周期、半年周期的振幅和相位值,以及各基准站的周期功率谱图。结果表明:GNSS基准站坐标时间序列不仅存在线性变化,还存在周期性变化,其中以U方向表征最为明显,与双差定位获得的坐标时间序列周期特性分析结果一致,说明以精密单点定位获取的GNSS基准站坐标时间序列是可靠的,可以用来分析基准站的变化特征。  相似文献   

基于时间序列统计特性的森林变化监测   总被引：1，自引：0，他引：1  

黄春波  佃袁勇  周志翔  王娣  陈瑞冬 《遥感学报》2015,19(4):657-668

森林动态变化分析对揭示生态系统环境变化及植被恢复和布局重建等具有重要意义,时间序列的遥感数据为森林监测提供了基础数据。本文根据森林植被的统计学特性,在暗目标法的基础上,利用归一化植被指数NDVI实现森林样本自动选择;并融合NDVI构建了新的综合森林特征指数(Integrated Forest Z-Score,IFZ);以时间序列的IFZ分析森林动态信息,实现森林变化动态监测。以三峡大坝及周边区域森林为研究区,利用2001年至2012年每年生长季节(5月—10月)的Landsat TM影像检验本文算法。基于2002年、2006年和2010年三期7月—9月的Quick Bird影像的精度分析结果发现:研究区森林变化检测的总体精度可达96.53%,Kappa系数为0.9512。在添加NDVI指数后构建的IFZ提高了总体监测精度。其中,毁林类别的检测精度提高显著,漏检率和误检率分别为2.74%和3.64%;干扰后重建的森林类别的检测精度有一定提高,其漏检率和误检率分别为10.79%和10.51%。研究结果表明,改进暗目标法能提高森林样本的选样效率,添加NDVI的IFZ能提高森林动态变化的识别度。此外,本算法不仅能定性识别森林变化,而且能定量提供森林干扰发生时间和干扰强度。  相似文献   

Semi-automatic delineation of badlands using contrast in vegetation activity: a case study in the lower Chambal valley,India     

V. Ranga  A. Van Rompaey  J. Poesen  S.N. Mohapatra  P. Pani 《国际地球制图》2015,30(8):919-936

Population growth worldwide leads to an increasing pressure on the land. Recent studies reported that many areas covered by badlands are decreasing because parts of badlands are being levelled and converted into arable land. It is important to monitor these changes for environmental planning. This paper proposes a remote-sensing-based detection method which allows mapping of badland dynamics based on seasonal vegetation changes in the lower Chambal valley, India. Supervised classification was applied on three Landsat (Thematic Mapper) images, from 3 different seasons; January (winter), April (summer) and October (post-monsoon). Different band selection methods were applied to get the best classification. Validation was done by ground referencing and a GeoEye-1 satellite image. The image from January performed best with overall accuracy of 87% and 0.69 of kappa. This method opens the possibilities of using semi-automatic classification for the Chambal badlands which is so far mapped with manual interpretations only.  相似文献   

Prediction of the dynamic response of a slender marine structure under an irregular ocean wave using the NARX-based quadratic Volterra series     

《Applied Ocean Research》2015

The time series of the dynamic response of a slender marine structure was predicted in approximate sense using a truncated quadratic Volterra series. The wave-structure interaction system was identified using the NARX (Nonlinear Autoregressive with Exogenous Input) technique, and the network parameters were determined through supervised training using prepared datasets. The dataset used for network training was obtained by nonlinear finite element analysis of the slender marine structure under random ocean waves of white noise. The nonlinearities involved in the analysis were both large deformation of the structure under consideration and the quadratic term of the relative velocity between the water particle and structure in the Morison formula. The linear and quadratic frequency response functions of the given system were extracted using the multi-tone harmonic probing method and the time series of the response of the structure was predicted using the quadratic Volterra series. To check the applicability of the method, the response of a slender marine structure under a realistic ocean wave environment with a given significant wave height and modal period was predicted and compared with the nonlinear time domain simulation results. The predicted time series of the response of structure with quadratic Volterra series successfully captured the slowly varying response with reasonably good accuracy. This method can be used to predict the response of the slender offshore structure exposed to a Morison type load without relying on the computationally expensive time domain analysis, especially for screening purposes.  相似文献   

基于典型物候特征的MODIS-EVI时间序列数据 农作物种植面积提取方法 —小区域冬小麦实验研究   总被引：11，自引：1，他引：10  

潘耀忠  李乐  张锦水  梁顺林  侯东 《遥感学报》2011,15(3):578-594

利用MODIS植被指数时间序列这一特性,以北京市通州及周边为实验区,冬小麦种植面积为研究对象,提出 了农作物种植面积指数模型(Pan-CPI模型)的概念,并构造了冬小麦特征物候期植被指数与种植面积的定量函数关系, 通过样区TM影像求解关键参数,对研究区冬小麦种植面积测量方法进行了试验研究。研究结果表明：(1)Pan-CPI模 型能够很好地反映特定目标农作物种植面积状况,为基于植被指数时间序列影像识别农作物种植面积提供了新方法; (2)精度分析结果表明：Pan-CPI模型具有很高的稳定性,且不受样本变化的影响,只要达到满足模型计算的样本量(如： 5%),多次测量结果间具有很好的一致性。选取MODIS 6×6像元大小的窗口时,TM样本的复相关系数(R2)稳定在0.85 左右,与TM结果比较,窗口相对精度稳定在95%左右,区域精度稳定在92%以上,经调整的区域精度高达96%以上; (3)对于种植结构复杂、目标作物种植破碎的地区,Pan-CPI模型可以充分利用MODIS植被指数时间序列的优势,有效改 善TM单时相和多时相提取信息因时相缺失无法表征作物变化的不足。  相似文献   

分组平差网格计算研究     

李昌贵  吕志平 《测绘科学》2011,36(5):25-27

分组平差是大地测量中一种常用的计算模型,是对大规模平差问题的一种分解,本身具有分布性的特征,适合于网格计算。本文首先通过对分组平差公式的分析,在几个步骤和层面上将其分解为若干子计算,然后提出子计算服务和子计算代理的概念,详细阐述了基本子计算、聚合子计算和工作流的概念,最后给出了并行工作流和串行工作流的实现途径。  相似文献   

Nontectonic signals in reprocessed continuous GPS position time series of CMONOC     

Tian  Yunfeng 《地球空间信息科学学报》2011,14(3):207-215

The nearly nine-year continuous GPS data collected since 1 March 1999 from the Crustal Motion Observation Network of China(CMONOC) were consistently analyzed.Most of the nonlinear movements in the cumulative position time series pro-duced by CMONOC data center disappeared;and more accurate vertical terms and tectonic signals were extracted.Displacements caused by atmospheric pressure loading,nontidal ocean loading,soil moisture mass loading,and snow cover mass loading using the National Centers for Environmental Prediction(NCEP) Reanalysis I/II models and Estimation of the Circulation and Climate of the Ocean(ECCO) data can explain most of the vertical annual terms at many stations,while only parts can be explained at Lhasa and southern coastal sites,indicating that there are some deformation mechanisms that are still unknown or not modeled accurately.The remarkable differences in vertical position time series for short-baseline sites reveal that GPS stations can be greatly affected by lo-cal factors;and attention should be paid when explaining observed GPS velocity vectors.  相似文献