面向智慧城市的GIS框架

现有轨迹匹配方法具有一定局限性,其匹配精度无法满足车辆导航定位的需求。针对拓扑匹配方法对于起始匹配位置的依赖性,提出了顾及速度与航向信息的轨迹匹配方法。该方法综合利用速度、距离和航向约束改进起始匹配路段和起始位置的判定,并通过后续时刻车辆的正确匹配位置修正起始位置,避免了传统拓扑匹配方法中起始位置匹配错误导致的误差传递累积,提高匹配路段的准确性。同时以起始位置为基础,速度与时间信息为约束确定匹配点。为验证所提方法的有效性,选取多条复杂程度各异的路线进行实验,并与现有的几何匹配方法和拓扑匹配方法进行比较。实验结果表明,该方法在不同复杂程度的城市路网下具有良好的匹配效果,准确率可达93.53%。在匹配准确率方面优于现有的两种方法,在匹配效率方面能满足定位导航的需求。     

轨迹大数据: 数据处理关键技术研究综述

针对轨迹大数据的高效点-轨迹k近邻（point to trajectory k nearest neighbor, P2T_kNN）查询处理需求,提出了一种融合时空剖分和轨迹分段的轨迹组织方法,其核心思想是在对轨迹作时间剖分的基础上,利用离散全球网格系统（discrete global grid system, DGGS）在空间上进行再次剖分,从而利用两次剖分得到的时空单元编码来索引落入其中的轨迹片段。在此基础上利用分布式列式存储技术设计了面向轨迹大数据的P2T_kNN查询处理框架,提出了一种顾及轨迹数据空间分布的自适应空间单元搜索算法,即通过分析轨迹数据在给定时间约束下的空间分异特征,动态调整空间单元的搜索步长,从而提升了轨迹稀疏区域的处理效率。针对亿级轨迹的实验结果表明,该方法适用于轨迹大数据的P2T_kNN查询处理,在轨迹稠密与稀疏区域的平均查询响应时间均小于1 s。     

江苏盐城地区一次持续雾-霾天气过程的综合分析

2013年12月上旬江苏盐城地区出现了一次历史罕见的持续重度雾-霾天气,利用盐城市常规气象观测资料、NCEP再分析资料(1°×1°)及环境监测中心站的污染物浓度资料等,对此次过程的环流背景、气象要素、大气层结特征以及动力条件、污染情况等进行了综合性分析。结果发现:12月上旬中高层冷空气势力弱,以纬向环流为主;低层弱的水平风场为雾-霾的发生发展提供了有利的环流背景;稳定的层结特征,近地面高强度的贴地逆温和持续较低的混合层高度是此次雾-霾天气长时间维持的重要因素;边界层内弱正散度及负涡度是此次雾-霾天气得以维持发展的动力因子;通过后向轨迹分型和火点监测资料分析发现:污染物的长距离输送在此次重污染天气的形成过程中起到了一定作用。最后,文中建立了能见度和PM_(2.5)浓度、相对湿度的非线性回归方程,对能见度的预报效果较好,为实际业务应用中雾-霾的预报提供了有利的依据。     

历史数据和强化学习相结合的低频轨迹数据匹配算法

针对低频(采样间隔大于1min)轨迹数据匹配算法精度不高的问题,提出了一种基于强化学习和历史轨迹的匹配算法HMDP-Q,首先通过增量匹配算法提取历史路径作为历史参考经验库;根据历史参考经验库、最短路径和可达性筛选候选路径集;再将地图匹配过程建模成马尔科夫决策过程,利用轨迹点偏离道路距离和历史轨迹构建回报函数;然后借助强化学习算法求解马尔科夫决策过程的最大回报值,即轨迹与道路的最优匹配结果;最后应用某市浮动车轨迹数据进行试验。结果表明:本文算法能有效提高轨迹数据与道路匹配精度;本算法在1min低频采样间隔下轨迹匹配准确率达到了89.2%;采样频率为16min时,该算法匹配精度也能达到61.4%;与IVVM算法相比,HMDP-Q算法匹配精度和求解效率均优于IVVM算法,16min采样频率时本文算法轨迹匹配精度提高了26%。     

米仓山新民角闪辉长岩地球化学特征及其构造意义

扬子板块西北缘新元古代岩浆作用的研究对于探讨Rodinia超大陆的构造演化具有重要意义,对米仓山新民地区角闪辉长岩的岩石学和地球化学分析结果表明,岩石Si O2含量较低且变化范围较小,岩石富Al和Ca,低K、Ti、P,Mg#值中等,属于亚碱性低钾拉斑岩石系列。岩石具有稀土元素总量相对较低、相对富集轻稀土元素和轻重稀土元素分馏程度低的特征,具弱Eu正异常,δEu=1.03~2.36。岩石总体上富集大离子亲石元素(Rb、Ba、Sr),亏损高场强元素(Nb、Zr、Hf、Th等),87Sr/86Sr=0.703 858,143Nd/144Nd=0.512 617,εNd(t)=+3.1。综合区域地质、地球化学特征,该岩体岩浆起源于亏损地幔的部分熔融,在上升侵位过程中可能受到了地壳物质的混染。在这时期,扬子板块北缘处于汇聚环境,新民角闪辉长岩形成于弧后盆地的构造环境,是Rodinia超大陆在新元古代期间演化过程中岩浆作用的产物。     

Stratigraphic evolution of Eocene clinoforms from northern Santos Basin,offshore Brazil: Evaluating controlling factors on shelf-margin growth and deep-water sedimentation

In order to assess the controlling factors on the evolution of a shelf margin and the timing of sediment transfer to deep waters, a seismic stratigraphic investigation was carried out in the Eocene interval of northern Santos Basin, offshore Brazil. The studied succession configures a complex of prograding slope clinoforms formed in a passive margin and encompasses five seismic facies and their respective depositional settings: shelf-margin deltas/shorefaces, oblique slope clinoforms, sigmoidal slope clinoforms, continental to shelfal deposits and mass-transport deposits. These are stratigraphically arranged as seven depositional sequences recording a total shelf-edge progradation of about 35 km and a progradation rate of 1,75 km/My. Two main types of sequences can be recognized, the first one (type A) being dominated by oblique slope clinoforms and shelf-margin deltas/shorefaces in which shelf-edge trajectories were essentially flat to descending and extensive sandy turbidites were deposited on the foreset to bottomset zones. Sequences of this type are dominated by forced-regressive units deposited during extensive periods of relative sea-level fall. Type B comprises an upper part represented by aggradational shelfal deposits and a lower part composed of mass-transport deposits and high-relief sigmoidal clinoforms with descending shelf-edge trajectory. Steep slump scars deeply cut the shelfal strata and constitutes the boundary between the two intervals observed in type B sequences. Sandy turbidites occur at the same frequency in both forced- and normal-regressive units but are more voluminous within forced-regressive clinoforms associated with shelf-margin deltas/shorefaces. Major slope failures and mass-transport deposits, by the other hand, occurred exclusively in type B sequences during the onset of sea-level fall and their volume are directly related to the thickness of the shelfal sediments formed during the pre-failure normal regressions.     

Curvedness feature constrained map matching for low-frequency probe vehicle data

Map matching method is a fundamental preprocessing technique for massive probe vehicle data. Various transportation applications need map matching methods to provide highly accurate and stable results. However, most current map matching approaches employ elementary geometric or topological measures, which may not be sufficient to encode the characteristic of realistic driving paths, leading to inefficiency and inaccuracy, especially in complex road networks. To address these issues, this article presents a novel map matching method, based on the measure of curvedness of Global Positioning System (GPS) trajectories. The curvature integral, which measures the curvedness feature of GPS trajectories, is considered to be one of the major matching characteristics that constrain pairwise matching between the two adjacent GPS track points. In this article, we propose the definition of the curvature integral in the context of map matching, and develop a novel accurate map matching algorithm based on the curvedness feature. Using real-world probe vehicles data, we show that the curvedness feature (CURF) constrained map matching method outperforms two classical methods for accuracy and stability under complicated road environments.     

钻孔轨迹参数计算及三维成图方法研究

随着经济发展及矿产资源开发利用程度进一步提高,地质勘探向着深部、复杂地层发展,钻探施工钻孔也向着定向孔、分支孔的方向发展。地质目的对钻探工艺的要求越来越高,在控制钻孔轨迹方面也需越来越精准。本文就钻孔轨迹参数计算及成图作了详细介绍,阐述了钻孔轨迹相关概念及有关参数的计算方法;通过对Excel电子表格相关功能的研究,成功地将其应用到钻孔轨迹参数计算与处理分析中;通过对Solidworks三维制图软件的研究,成功地将其应用到钻孔轨迹监测及成图方面;通过实际工作案例验证了上述方法的可行性。     

宁波地区空气质量及大气自净能力海陆差异对比

以镇海、奉化分别作为宁波沿海和内陆空气质量代表站。基于代表站2013-2017年污染物资料和2015年12月至2017年2月冬季激光雷达资料,对比分析宁波地区沿海和内陆站点的空气质量差异;利用NCEP的GDAS(Global Data Assimilation System)资料和ERA-Interim高分辨率再分析资料评估两地气溶胶来源及大气自净能力差异。结果表明:宁波沿海和内陆地区中度及以上污染主要集中于冬季,冬季首要污染物以PM2.5为主;镇海NO2浓度较奉化显著偏高,而两地PM2.5 和PM10 浓度差异较小。冬季镇海和奉化3km以下都存在消光系数大的气溶胶集中层,镇海3km内消光系数平均值较奉化偏高约40%。两地中度及以上污染时,镇海和奉化的气溶胶粒子主要来自宁波西北方向的内陆地区,比例分别为90%和63%,镇海地区其余10%左右来自近距离低空偏东气流的输送,而奉化地区有37%来自浙江西南部的短距离输送。冬季当宁波地区出现区域性优和中度以上污染时,浙江北部沿海分别盛行东北风和西北风,空气质量优时混合层内平均风速大于中度以上污染时。浙江省大气自净能力比值呈自西北向东南减小,宁波地区优等空气质量大气自净能力约为中度以上污染的 1.5倍。大气自净能力在不同空气质量等级下差异显著,可作为大气污染发生、发展和消退判定的参考依据。     

A trajectory-oriented carriageway-based road network data model, part 1: Background

Introduction Withthedramaticdevelopmentofpositioning andtelecommunicationtechnologies,lotsoftraj ectorydataofmovingvehiclescanbecalculated,collected,andtransferred.Inthemeanwhile,thisdevelopmentandtheavailabilityoftrajectory datahavealsomotivatedresearche…