青海省新一代BDS高精度基准服务平台的构建          下载免费PDF全文

李延龙  张生鹏  张永荥 《全球定位系统》2020,45(2):91-97

介绍了青海省新一代北斗卫星导航系统(BDS)高精度基准服务平台.该平台具备用户管理、数据处理、空间环境监控、高精度定位等功能,可以满足系统管理员、行政领导、单位用户和实时动态(RTK)测量用户在内的各种用户的多样化需求,并且遵循了管理标准化、可扩展性强、现势性好、实用性好、安全性强、具有前瞻性等建设原则.  相似文献   

基于二三维一体化的智慧警务地理信息平台建设与研究     

张庆全  袁晓宏  余迎 《测绘与空间地理信息》2020,(2):150-152

"智慧警务"是"智慧城市"的重要组成部分,也是社会治安防控体系发展的必然趋势,应提高认识,积极探索和论证建设"智慧警务"的模式和方法。本文阐述了基于二三维一体化的智慧警务地理信息平台建设内容和总体框架,并详细地介绍了警用地理信息系统及智慧警务应用系统建设内容和技术路线。  相似文献   

地幔热导率的选取对动力学数值模拟的影响——以岩石圈张裂过程为例          下载免费PDF全文

谌永强  施小斌  廖杰  许鹤华  任自强 《地球物理学报》2020,63(5):1998-2012

目前存在有多种地幔热导率模型,不同模型在数值和随温压变化的特征上有明显的差异.为探究不同热导率模型对动力学数值模拟结果的影响,本文对不同模型下的岩石圈张裂过程进行模拟研究,探讨地幔热导率对岩石圈热传输、变形和熔融过程的影响及其作用机理.结果显示,不同热导率模型下,岩石圈的变形和熔融特征表现出明显差异.高热导率模型下,岩石圈破裂较晚,形成陆缘较为宽阔,地壳熔融强烈而地幔熔融较弱;低热导率模型下,岩石圈破裂较早,形成陆缘较为狭窄,地幔熔融强烈而地壳熔融较弱.这种差异源于不同地幔热导率下岩石圈和地幔热状态的变化及相应力学性质的改变.高热导率下,热传导的增温效应显著,岩石圈呈现较热的状态,其强度整体较低,壳幔耦合减弱;而低热导率下,热对流的增温效应显著,岩石圈呈较冷的状态,其强度整体较高,壳幔耦合增强.基于模拟结果,本文认为地幔热导率的选取对动力学模拟的结果有着较为显著的影响,相对于随温压的变化,热导率数值的差异对动力学数值模拟的结果影响更大,尤其是对于地幔熔融过程的影响.  相似文献   

Stormflow threshold behaviour in a subtropical mountainous headwater catchment during forest recovery period     

Lezhang Wei  Zhijun Qiu  Guangyi Zhou  Tsuyoshi Kinouchi  Yu Liu 《水文研究》2020,34(8):1728-1740

Forest ecohydrological feedbacks complicate the threshold behaviour of stormflow response to precipitation or wetting conditions on a long-term scale (e.g. several years). In this study, the threshold behaviours in an evergreen-deciduous mixed forested headwater catchment in southern China were examined during 2009–2015, when damaged vegetation was recovering after the great 2008 Chinese ice and snowstorm. The non-uniqueness of the thresholds and the slow and rapid responses of stormflow at the outlet of the catchment in different hydro-climate datasets with different maximum values of gross precipitation (P) and sums of precipitation and antecedent soil moisture index (P + ASI) were assessed. The thresholds of P and P + ASI required to trigger stormflows (i.e. ‘generation thresholds’) and the transition from slow to rapid responses of stormflow (i.e. ‘rise thresholds’) were compared both seasonally and annually. The results indicated significant differences in the analysed datasets, highlighting the need to compare thresholds with care to avoid misinterpretation. Seasonal variations in threshold behaviours in the catchment suggested that vegetation canopy interception contributed to higher rise thresholds, and wetter conditions resulted in higher runoff sensitivity to precipitation during the growing and rainy seasons. Furthermore, the generation thresholds were higher in the dormant season, possibly due to drier soil moisture conditions in the near-channel areas. During the vegetation recovery period, the annual generation thresholds increased, however the rise thresholds did not exhibit a similar trend. The rapid stormflow response above the threshold decreased, possibly due to transpiration and interception of the recovered vegetation. However, the slow stormflow response to small rainfall events below the thresholds was higher in wetter years but lower in drier years, suggesting that the total water input dominated the stormflow response during small rainfall events. In conclusion, the seasonal and annual variations in threshold behaviours highlight that vegetation recovery and hydro-climatic conditions had a notable impact on the stormflow response.  相似文献   

基于自然资源管理的新型基础测绘研究     

穆增光  刘慧慧 《北京测绘》2020,(2):151-154

新一轮的职能改革赋予自然资源部门新的职责,文章在分析了现有自然资源业务数据和基础测绘数据的基础上结合自然资源管理需求,提出了新型基础测绘的相关技术要求、应用方向和地理实体数据的技术路线,为新型基础测绘的开展提供了有益探索,为基础测绘服务自然资源管理提供了理论依据。  相似文献   

基于MATLAB的铁路路基沉降预测优化方法     

刘鹏鹏  李仲勤 《北京测绘》2020,(4):580-583

高速铁路路基的工后沉降严重影响着行车安全。在已有的预测模型中,所采用的初始数据往往不能满足等时间周期采集,而且还会伴随着一系列不可避免的观测误差,模型本身的误差累计,不能进行长期预测。文中利用最小二乘原理对初始值进行拟合改进,采用Lagrange插值方法将非等间隔序列转为等间隔序列,并基于新陈更替GM(1,1)模型利用MATLAB建立沉降预测模型;在此基础上,提出对模型残差进行GM改正以提高模型精度的方法。研究表明,通过对初始值序列改正后的模型具有较好的适应性,优化改进后的模型预测误差小,预测精度优于新陈更替GM(1,1)模型。  相似文献   

FY-3D/MERSI-II全球火点监测产品及其应用   总被引：1，自引：0，他引：1  

郑伟  陈洁  闫华  刘诚  唐世浩 《遥感学报》2020,24(5):521-530

FY-3D/MERSI-II全球火点监测产品主要包括全球范围内的火点位置、亚像元火点面积和火点强度等信息,可用于实时监测全球范围的森林草原火灾、秸秆焚烧等生物质燃烧状况。火点判识算法主要根据中红外通道对高温热源的敏感特性,即含有火点的中红外通道像元辐亮度和亮温较远红外通道的辐亮度和亮温偏高,同时较周边非火点的中红外像元偏高,建立合适的阈值可探测含有火点的像元。亚像元火点面积估算主要使用中红外单通道估算,根据亚像元火点面积估算结果对火点强度进行分级,不同的级别表示不同程度的火点辐射强度。基于全球火点自动判识结果,每日生成0.01°分辨率的卫星遥感日全球火点产品,每月生产0.25°×0.25°格点的全球月火点密度图。在利用FY-3D/MERSI-II火点产品开展的全球火点监测应用中,对多起全球重大野火事件进行了监测,为防灾减灾、全球气候变化研究、生态环境保护等方面提供卫星遥感信息支持。  相似文献   

车载移动测量系统大比例尺测图精度控制研究     

李俊  王永红  吴波  侯兴泽 《测绘与空间地理信息》2020,(3):101-103

车载移动测量系统作为一种先进的测绘技术,已广泛应用于大比例尺测图项目中。SSW车载激光建模测量系统能够快速、高效、精确地完成大比例尺测图数据采集、处理等工作。不同比例尺对精度的要求不一样,而本文选择若干试验区,探讨不同的数据采集与处理方式对精度的影响,然后制订相应的精度控制方案,提高数据的精度,满足1∶1 000比例尺测图要求。  相似文献   

BDS卫星差分码偏差稳定性分析及其短期预报     

梅登奎  闻德保 《大地测量与地球动力学》2020,40(7):746-750

利用MGEX(multi-GNSS experiment)发布的BDS卫星差分码偏差(differential code bias, DCB)产品，比较分析不同太阳活动水平下BDS卫星DCB产品的稳定性变化特性，并采用差分自回归移动平均(auto-regressive integrated moving average, ARIMA)时间序列预测模型，实现不同太阳活动水平下BDS卫星DCB的短期预报。结果表明，在太阳活动高年，BDS卫星DCB日解值稳定度、月稳定性均明显低于太阳活动低年，且不同卫星星座类型的BDS卫星DCB稳定性也存在差异；ARIMA时间序列预报结果与MGEX发布值符合程度较好，优于多项式拟合法预测结果。  相似文献   

How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?     

《地学前缘(英文版)》2020,11(3):871-883

Landslides are abundant in mountainous regions.They are responsible for substantial damages and losses in those areas.The A1 Highway,which is an important road in Algeria,was sometimes constructed in mountainous and/or semi-mountainous areas.Previous studies of landslide susceptibility mapping conducted near this road using statistical and expert methods have yielded ordinary results.In this research,we are interested in how do machine learning techniques help in increasing accuracy of landslide susceptibility maps in the vicinity of the A1 Highway corridor.To do this,an important section at Ain Bouziane(NE,Algeria) is chosen as a case study to evaluate the landslide susceptibility using three different machine learning methods,namely,random forest(RF),support vector machine(SVM),and boosted regression tree(BRT).First,an inventory map and nine input factors were prepared for landslide susceptibility mapping(LSM) analyses.The three models were constructed to find the most susceptible areas to this phenomenon.The results were assessed by calculating the receiver operating characteristic(ROC) curve,the standard error(Std.error),and the confidence interval(CI) at 95%.The RF model reached the highest predictive accuracy(AUC=97.2%) comparatively to the other models.The outcomes of this research proved that the obtained machine learning models had the ability to predict future landslide locations in this important road section.In addition,their application gives an improvement of the accuracy of LSMs near the road corridor.The machine learning models may become an important prediction tool that will identify landslide alleviation actions.  相似文献