一次基于综合探测资料的山东半岛冷流暴雪特征分析

利用多普勒天气雷达、风廓线雷达、加密自动站、浮标站、常规探空和地面等多种观测资料,对2014年12月山东半岛东部一次冷流暴雪的发生、演变特征进行了分析。结果表明:(1)此次冷流暴雪发生时渤海上空500 hPa气温在-36℃左右,850 hPa气温在-18~-16℃,海面西北风12 m·s~(-1)。700 hPa以下为混合层,1000~700 hPa混合层内近乎饱和。浮标站资料显示海表面到850 hPa的较大海气温差和山东半岛较强海岸锋是产生暴雪的重要原因。(2)暴雪发生时雷达回波的PPI在30~45 dBz;每6 min雷达回波垂直剖面显示1个较强降雪回波单体持续时间可达到1h。雷达资料反演0.8 km以上风场表明:强降雪回波位于NE与NW风辐合区的东侧,冷流暴雪的水平风辐合主要在3 km以下。风廓线雷达资料表明:暴雪发生前在100m以下有弱西风存在,暴雪发生时1 50~700 m弱的西北风(6 m·s~(-1))和低层切变线辐合的共同存在,有利于降雪对流的加强;当这种弱西北风层消失后,降雪即停止。     

基于大气电场资料的雷电临近预警研究

通过分析深圳地区2012年6—9月17次雷暴过程的电场观测资料,并结合广东省闪电定位资料,发现当雷暴云移近电场仪测站时,在测站的防护区内(距测站10 km半径范围内),闪电发生前的电场幅值快速增加且伴随有快变抖动的现象,并且快变抖动和闪电的发生具有0-1化对应关系,即当有电场的快变抖动出现的情况下,电场达到一定阈值并维持一段时间后,防护区内发生闪电的可能性很大.因此根据大气电场的波形特征,提取出与闪电相关性较高的因子,利用多元回归技术建立一套预报方程,根据该预报方程得出最佳预警参数.结果表明:当大气电场阈值达到0.86 kV/m,且在10.73 min内电场能维持在阈值上,并伴随有电场的抖动时,在防护区内发生闪电的可能性很大,预警准确率达53%.     

Spatial variability of soil erodibility and its correlation with soil properties in semi-arid mountainous watershed,Saudi Arabia

Soil erodibility values are best estimated from long-term direct measurements on runoff-plots; however, in lack of field tests, these values can be estimated using relationships based on physico-chemical soil properties. The study objective was to assess the erodibility and its correlation with soil properties. The average erodibility value was estimated 0.043 t ha h ha^?1 MJ^?1 mm^?1. The areas with heavy textured soil and low organic matter content had the lowest values of erodibility. The erodibility decreases as the sand content increases, whereas silt showed a positive correlation. The erodibility factors and its relation to soil properties were evaluated using multiple regression analysis. Results revealed that sand and organic matter content of soil combinedly explained 78% of variation. Altitudinal increases also seem to affect the soil texture. This study has demonstrated that soil properties and erodibility values can be used as assistance for soil conservation practices and modelling of landscape processes.     

“多规合一”空间规划底图编制方法

实现空间性规划"多规合一"需要统一、标准的空间规划底图(地理信息数据库、技术规范等),可为划分城镇、农业、生态三类空间并准确划定边界提供基础数据,也可为相关规划的空间管制分区的细化提供技术支撑。为此,本文分析"多规合一"存在的空间基准、用地分类标准、规划底图、规划基础平台等主要技术问题,提出基于地理国情普查成果编制空间规划底图的方法,并进行黑龙江、海南"多规合一"试点应用,为相关工作提供参考。     

Space–time multiple regression model for grid-based population estimation in urban areas

We can collect, store, and analyze a huge amount of information about human mobility and social interaction activities due to the emergence of information and communication technologies and location-enabled mobile devices under cyber physical system frameworks. The high spatial resolution of population data on a multi-temporal scale is required by transport planners, human geographers, social scientists, and emergency management teams. In this study, we build a space-time multiple regression model to estimate grid-based (500 m × 500 m) spatial resolution at multi-temporal scale (30-min intervals) population data based on the space-time relationship among geospatially enabled person trip (PT) survey data and incorporate both mobile call (MC) and geotagged Twitter (GT) data. Since using geospatially enabled PT survey data as dependent variables enables us to acquire actual population amounts, which strongly depend on MCs and social interaction activities. Although many grids have a strong correlation between PT and MC/GT, some show fewer correlation results, especially where the grids have factories, schools, and workshops in which fewer MCs are found but a large population is presented. Although GT data are sparser than MCs, people from amusement and tourist areas can be detected by GT data. The space-time multiple regression model can also estimate the different amounts of populations based on human travel behavior that changes over space and time. According to accuracy assessments, the night-time estimated results, especially between 00:00 and 06:30, strongly correlate with national census data except in places where the grids have railway and subway stations.     

Modeling the Invasion of Holly (Ilex aquifolium): Spatial Relationships and Spread Trajectories

In this study, we investigated the environmental factors associated with the establishment of invasive English holly (Ilex aquifolium) and the spatiotemporal trajectories of its potential spread. We collected georeferenced presence and absence and demographic data of holly between 2011 and 2014 in Saint Edward State Park, Washington. We analyzed them through a spatially explicit framework that combines multiple logistic regression, cellular automata, and bivariate quadratic modeling. Results showed that the presence of holly is influenced by the proximity to evergreen coniferous vegetation and forest edge, distance to streams, forest structure, and slope direction. Our study confirmed that local environmental conditions, species characteristics, and vegetative and dispersal mechanisms play a significant role in determining the rate and success of holly establishment across the different phases of invasion. Invasive species management plans should consider both species characteristics and their habitat and the interactions among them when planning long-term strategies for control and eradication.     

综合PNT体系及其关键技术

综合定位、导航与授时(PNT)的核心是不过分依赖GNNS,采用一切可以应用的PNT信息源实施全空域目标定位、导航与授时服务。本文分析了综合PNT需求,论述了综合PNT的基本定义和基本概念,分析了综合PNT所涉及的信息源,论述了综合PNT关联的核心技术,包括多源PNT传感器集成技术、多源PNT的数据融合技术。强调指出,综合PNT体系的信息源必须是"基于不同物理原理的多源信息";综合PNT的运控系统应该基于云平台,实现用户志愿者共同测控;用户终端或传感器必须"深度集成、低功耗";PNT服务信息必须是"智能融合或自适应融合"。综合PNT系统应该在统一时空基准下,满足服务的可用性、精确性、可靠性、连续性和稳健性。     

像元与对象特征融合的高分辨率遥感影像道路中心线提取

提出了一种融合像元-多尺度对象级特征的高分辨率遥感影像道路中心线提取方法。首先在像素级上提取影像的纹理和形状结构特征,在构建的多尺度分割集影像上提取对象的区域光谱特征。然后,将像元级特征与多尺度对象特征进行决策级融合,完成道路网的粗提取。最后,结合本文所提出的非道路区域自动去除算法和张量投票算法,实现道路中心线的精提取。不同场景、不同分辨率数据下开展的试验结果表明,该方法可有效改善传统道路提取方法易产生的"盐噪声"和非道路地物粘连现象。     

基于BP神经网络的霍普菲尔德模型改进研究

为了分析对流层延迟的时空变化规律、提高对流层延迟的改正精度,利用BP神经网络处理非线性问题的优势,改进传统的霍普菲尔德模型得到一种新的融合模型(Hop+BP模型)。分别对比Hop+BP模型与传统的霍普菲尔德模型、多元线性回归模型、BP神经网络等模型的计算结果,得到如下结论:霍普菲尔德模型存在一个明显的系统误差,精度较低;多元线性回归的预测精度有所提高,但是其本质是将数据强制拟合,缺少物理解释,难以推广使用;传统的BP神经网络的计算精度较之霍普菲尔德模型有80%的提高,但存在明显的不稳定性;Hop+BP模型具有预测精度高、稳定性好等优点,预测中误差为1.1cm,明显优于传统方法。     

基于不同交通工具多约束条件的最短路径算法研究

多约束条件下的最短路径选择可以满足用户的出行需求,然而不同的交通工具在相同起始点下最短路径选择存在很大差异。为了满足多用户的出行需求,基于不同交通工具的多约束条件,对传统的Dijkstra算法进行改进,由传统的基于单约束条件向多约束条件改进,并对最短路径选择的准确程度进行优化。通过实例,验证算法的可行性和准确程度。