光速不变原理推广（Ⅱ）──论弯曲时空中光速不变     

王仁川 《天文学报》1995,(3)

根据等效原理及理论自洽的要求，把光速不变原理推广到弯曲时空。并在此基础上阐明了坐标、坐标变换，物理量的描述与测量等最基本问题的物理意义。  相似文献   

大陆岩石圈对扩张机制的响应——辽蒙地质走廊中—新生代火山活动的时空分布     

邵济安  ;季建清  ;路凤香  ;张履桥 《中国区域地质》2008,(9):1431-1440

选择以辽西为中心,近东西向延伸800km的辽蒙地质走廊为研究区,通过年代学研究,确认130Ma以来的中、新生代火山活动对称分布的时空格局具有“中间老、两侧新”的特点,而且随着时间的推移,软流圈来源的岩浆向东西两侧侧向流动,岩浆来源不断加深。在此基础上提出“软流圈底辟体上涌和水平侧向流动”的模式。  相似文献   

人类活动对公元1194年以来黄河河口延伸速率的影响   总被引：9，自引：0，他引：9  

许炯心 《地理科学进展》2001,20(1):1-9

以近 50年来的观测资料和公元 1 1 94年以来苏北废黄河和现代黄河的历史文献资料为基础,在宏观时间尺度上 (1 0 2 ～ 1 0 3年 )研究了人类活动对黄河口延伸速率的影响。结果表明,废黄河口的延伸可以分为两个阶段,1 1 94～ 1 578年为第一阶段,河口延伸速率较慢 ;1 579～ 1 855年为第二阶段,河口延伸速率大大加快。 1 855年以来现代黄河河口延伸速率的变化曲线可以分为 3个阶段,分别用 3条斜率不同的直线来拟合。 3条直线之间的两个转折点可以代表人类活动的方式和强度发生改变的临界点。由此建立了人类活动影响下现代黄河三角洲河口延伸过程的三阶段模式。  相似文献   

山东省20世纪90年代产业结构变动研究     

刘兆德  王慧 《地理与地理信息科学》2001,17(1):25-30

分析山东 90年代产业结构变动趋向的时空差异 ,探讨产业结构变动的原因及地区产业结构变动能力 ,并对山东产业结构走向及产业结构在地区间的协调发展提出建议。  相似文献   

新疆内生矿产成矿规律   总被引：3，自引：0，他引：3  

成守德  王广瑞  杨树德  李天福  欧阳恕 《新疆地质》1991,(2)

本文简要地介绍了新疆主要内生矿产的成矿基本特征及主要成因类型.并在此基础上结合区域地质构造特征、地质发展历史、成矿作用特征及地球化学场特征等基本因素,将新疆划分出15个综合性成矿(区)带,其中包括44个蕴矿带、14个矿田带,最后对新疆内生矿产的主要成矿规律进行了总结.讨论了新疆内生矿产的形成与板块构造发展演化历史的密切并系,指出了它们在时、空上的分布规律及分带性和主要控矿因素.  相似文献   

测绘地理信息档案分类探讨     

王小平 《地理信息世界》2016,(6):119-123

该文介绍了测绘地理信息档案分类法、档案实体分类和档案信息分类理论,并结合测绘地理信息档案的特点,探讨了它们在测绘地理信息档案管理中的应用,提出了包含数字档案在内的测绘地理信息实体分类方法,探讨了基于档案管理系统的测绘地理信息档案分类目录的组织形式。  相似文献   

关于测绘生产单位信息化测绘体系建设的思考     

宫林成 《测绘与空间地理信息》2016,(7):118-120

根据当前信息化测绘体系建设工作推进情况和存在的问题,本文提出了"信息化测绘体系建设=装备引进+资源整合+技术改造+系统建设+安全防护"的构想,构建动态、及时和按需的测绘生产和服务模式,进一步加强资源整合,强调了"人"的信息化的重要性和途径,详细阐述了测绘生产单位依托实际项目来持续改进建设工作的意见和建议。  相似文献   

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

Ko Ko Lwin  Komei Sugiura  Koji Zettsu 《International journal of geographical information science》2016,30(8):1579-1593

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.  相似文献   

Novel evaluation metrics for sparse spatio-temporal point process hotspot predictions - a crime case study     

Monsuru Adepeju  Gabriel Rosser 《International journal of geographical information science》2016,30(11):2133-2154

Many physical and sociological processes are represented as discrete events in time and space. These spatio-temporal point processes are often sparse, meaning that they cannot be aggregated and treated with conventional regression models. Models based on the point process framework may be employed instead for prediction purposes. Evaluating the predictive performance of these models poses a unique challenge, as the same sparseness prevents the use of popular measures such as the root mean squared error. Statistical likelihood is a valid alternative, but this does not measure absolute performance and is therefore difficult for practitioners and researchers to interpret. Motivated by this limitation, we develop a practical toolkit of evaluation metrics for spatio-temporal point process predictions. The metrics are based around the concept of hotspots, which represent areas of high point density. In addition to measuring predictive accuracy, our evaluation toolkit considers broader aspects of predictive performance, including a characterisation of the spatial and temporal distributions of predicted hotspots and a comparison of the complementarity of different prediction methods. We demonstrate the application of our evaluation metrics using a case study of crime prediction, comparing four varied prediction methods using crime data from two different locations and multiple crime types. The results highlight a previously unseen interplay between predictive accuracy and spatio-temporal dispersion of predicted hotspots. The new evaluation framework may be applied to compare multiple prediction methods in a variety of scenarios, yielding valuable new insight into the predictive performance of point process-based prediction.  相似文献   

A PRELIMINARY STUDY ON THE 3DVAR ASSIMILATION OF THE AMSU-A DATA IN SPACE-TIME MULTISCALE ANALYSIS SYSTEM     

刘瑞霞  谢元富  刘杰 《热带气象学报(英文版)》2017,23(3):314-322

Assimilating satellite radiances into Numerical Weather Prediction (NWP) models has become an important approach to increase the accuracy of numerical weather forecasting. In this study, the assimilation technique scheme was employed in NOAA’s STMAS (Space-Time Multiscale Analysis System) to assimilate AMSU-A radiances data. Channel selection sensitivity experiments were conducted on assimilated satellite data in the first place. Then, real case analysis of AMSU-A data assimilation was performed. The analysis results showed that, following assimilating of AMSU-A channels 5–11 in STMAS, the objective function quickly converged, and the channel vertical response was consistent with the AMSU-A weighting function distribution, which suggests that the channels can be used in the assimilation of satellite data in STMAS. With the case of the Typhoon Morakot in Taiwan Island in August 2009 as an example, experiments on assimilated and unassimilated AMSU-A radiances data were designed to analyze the impact of the assimilation of satellite data on STMAS. The results demonstrated that assimilation of AMSU-A data provided more accurate prediction of the precipitation region and intensity, and especially, it improved the 0–6h precipitation forecast significantly.  相似文献