基于罗德里格矩阵的三维坐标转换方法

采用罗德里格矩阵公式,在不考虑尺度因子的情况下,建立了基于罗德里格矩阵的六参数坐标转换模型,推导了高精度参数初值计算方法,最小二乘迭代法平差公式。通过实测数据验证,通过实测数据计算,表明该算法具有精度高、稳定性强、适用性广等优点。     

OpenRS_Cloud智能遥感服务平台设计与实现

随着我国高分辨率卫星数据获取能力的显著提高,对高分辨率遥感数据的处理能力提出了新的要求,这使得切实提升高分辨率海量遥感数据的处理能力成为必要.本文以提高遥感影像基本处理能力为核心,提出了兼容其他类型数据,可用于信息提取、数据管理和处理的综合性在线数据服务平台,该平台可为多源数据存管技术、基本影像处理技术流程提供参考.     

河南省内乡县银洞沟银金多金属矿成矿年龄: 热液锆石LA-MC-ICP-MS U-Pb测年

北秦岭构造带广泛发育与古生代洋壳俯冲和碰撞造山有关的岩浆活动以及与造山过程有关的变质作用,但古生代热液脉型矿床在北秦岭构造带少见报道。银洞沟银金多金属矿为北秦岭构造带东部的一处中型热液脉型矿床,本文通过对该矿床赋矿围岩和含矿石英脉中锆石开展LA- MC- ICP- MS U- Pb测年和锆石成因研究,确定了矿床的形成时代,并探讨了矿床的成矿动力学背景。结果表明赋矿围岩黑云母二长花岗岩的形成时代为431. 4±2. 1 Ma,含矿石英脉中锆石结晶年龄为419. 4±5. 9 Ma,石英脉中锆石的岩相学、锆石中矿物和流体包裹体及锆石微量元素研究表明419. 4 Ma代表矿床的形成时代。结合前人的研究结果,确定银洞沟银金多金属矿为形成于晚志留世的造山型矿床,成矿作用与碰撞期后～420 Ma的变质作用密切相关,成矿流体来源于地层的变质脱水,成矿物质主要来源于秦岭岩群和二郎坪群。     

基于OpenCV和ArcGIS Engine的墙体中线自动提取在不动产测绘中的应用

在不动产测绘业务中,无论是房产预测绘还是实测绘,内业过程中都需要基于建筑单体的CAD电子图纸来获取墙体中线.传统的做法是利用AutoCAD软件的标注功能来逐边画取,这种做法的优点是画取的边线精度较高,但效率低下,占据了房产测绘内业的大部分工作量.为提高房产测绘内业的作业效率,本文采用二值化、骨骼化等算法,基于OpenCV和ArcGIS Engine技术,实现了CAD墙体中线的自动提取,对不动产测绘内业的作业流程进行了优化.实验结果表明,本文采用的方法在不动产测绘内业生产中具有一定的实用价值.     

Cluster analysis on the bulk elemental compositions of Antarctic stony meteorites

Remote sensing observations by recent successful missions to small bodies have revealed the difficulty in classifying the materials which cover their surfaces into a conventional classification of meteorites. Although reflectance spectroscopy is a powerful tool for this purpose, it is influenced by many factors, such as space weathering, lighting conditions, and surface physical conditions (e.g., particle size and style of mixing). Thus, complementary information, such as elemental compositions, which can be obtained by X‐ray fluorescence (XRF) and gamma‐ray spectrometers (GRS), have been considered very important. However, classifying planetary materials solely based on elemental compositions has not been investigated extensively. In this study, we perform principal component and cluster analyses on 12 major and minor elements of the bulk compositions of 500 meteorites reported in the National Institute of Polar Research (NIPR), Japan database. Our unique approach, which includes using hierarchical cluster analysis, indicates that meteorites can be classified into about 10 groups purely by their bulk elemental compositions. We suggest that Si, Fe, Mg, Ca, and Na are the optimal set of elements, as this set has been used successfully to classify meteorites of the NIPR database with more than 94% accuracy. Principal components analysis indicates that elemental compositions of meteorites form eight clusters in the three‐dimensional space of the components. The three major principal components (PC1, PC2, and PC3) are interpreted as (1) degree of differentiations of the source body (i.e., primitive versus differentiated), (2) degree of thermal effects, and (3) degree of chemical fractionation, respectively.     

太平洋潜热通量及其与黄淮夏季降水的关系

研究了1979—2010年太平洋潜热通量的变化特征及其与中国黄淮夏季降水的关系。结果表明,潜热通量的气候场和方差场均存在着明显的季节变化,且各季节气候场的极值中心也是变化幅度较大的区域。黄淮地区降水与前期春季的潜热场相关性最好。定义了黄淮夏季降水指数来研究影响降水的潜热场关键区,发现春季潜热关键区为10°~20°N之间的中东太平洋和热带东太平洋沿岸海区。春季当上述两个海区净潜热通量增多时,后期夏季500hPa和850hPa位势高度异常场中,在太平洋西海岸-阿拉斯加南部一线上均表现为"正—负—正"的分布型,黄淮降水偏多。     

山东半岛南部一次沿海强降雨成因分析

利用常规气象观测资料、区域自动站观测资料、NCEP/NCAR 1°×1°再分析资料和雷达探测等资料,对2012年9月21日山东半岛南部沿海强降雨过程的成因进行了天气学诊断分析,结果表明:1强降雨是在500hPa第1个西风槽过后第2个西风槽逼近的过程中产生的,850hPa以下为偏南的向岸风,且风速随时间增大,形成偏南的超低空急流,持续地向沿海输送水汽和能量,造成水汽辐合、湿度增大、对流有效位能升高。产生强降雨的水汽和不稳定能量条件远小于内陆地区。2在向岸的超低空急流的左侧产生中小尺度的涡旋和辐合上升,海岸地形抬升作用使得上升运动加强,触发对流不稳定能量释放,造成强降水。3在雷达回波中,小尺度的对流单体沿海岸线向西南方向发展,后期在日照附近的沿海形成弓状回波,向东南海区移动。     

Seasonal prediction of June rainfall over South China: Model assessment and statistical downscaling

The performances of various dynamical models from the Asia-Pacific Economic Cooperation(APEC) Climate Center(APCC) multi-model ensemble(MME) in predicting station-scale rainfall in South China(SC) in June were evaluated.It was found that the MME mean of model hindcasts can skillfully predict the June rainfall anomaly averaged over the SC domain.This could be related to the MME's ability in capturing the observed linkages between SC rainfall and atmospheric large-scale circulation anomalies in the Indo-Pacific region.Further assessment of station-scale June rainfall prediction based on direct model output(DMO) over 97 stations in SC revealed that the MME mean outperforms each individual model.However,poor prediction abilities in some in-land and southeastern SC stations are apparent in the MME mean and in a number of models.In order to improve the performance at those stations with poor DMO prediction skill,a station-based statistical downscaling scheme was constructed and applied to the individual and MME mean hindcast runs.For several models,this scheme can outperform DMO at more than 30 stations,because it can tap into the abilities of the models in capturing the anomalous Indo-Paciric circulation to which SC rainfall is considerably sensitive.Therefore,enhanced rainfall prediction abilities in these models should make them more useful for disaster preparedness and mitigation purposes.