古建筑精细三维模型制作及虚拟现实系统的实现

本文以南通市天宁寺精细三维虚拟现实项目为例,介绍古建筑虚拟现实化的工作流程,以及通过三维激光扫描技术和逆向工程软件生成三维模型的方法。     

Discovery of the Natural Deformation Vestige of Gaixia Remains,Guzhen County,Anhui Province,China and Its Implications

Recognition of natural deformation during the excavation of ancient remains and tombs is important for tracing or enriching historic and prehistoric deformation records. Recently, the earthquake agencies,in cooperation with the cultural relics and archaeological institutions, conducted a special excavation investigation to the Gaixia remains archaeological scene in Guzhen,Anhui Province. Faults and fissures were discovered there, which,as demonstrated by the preliminary study,are the traces of two stratum d...     

软岩巷道中地下水流自动封闭机理分析

地下水对软 巷道的支护具有重要影响,需要采取避开或封闭措施。在具有膨胀性和崩解性的软岩巷道中,地下水流存在自动现象,本文研究了它的机理。     

青岛近海物理-生物地球化学过程及其生态响应

近些年来,夏季黄海浒苔大规模暴发,并在青岛近岸海域大面积聚集,引起了广泛的关注。本文基于在夏季和冬季所获得的多学科调查资料,重点研究了青岛近海的水文-生物地球化学过程及其生态影响,阐明了该海域物理-化学-生物等多参数之间的耦合响应。研究显示,夏季黄海冷水团的边界可扩展至青岛近岸海域,并在局部涌升至上层水体,形成沿岸上升流;该上升流可对上层营养盐产生一定的补充,进而促进浮游植物的繁殖,并于底层海域对应形成溶解氧（DO）和pH的低值。夏季青岛近海的上升流可能还有利于随南风漂移至此的浒苔的生长,并在一定程度上引起浒苔的局地旺发;同时,夏季该海域特定的锋面系统对浒苔聚集的影响也不容忽视。冬季黄海暖流在苏北浅滩外侧向山东半岛南部海域延伸,扩展至青岛近海的暖水舌与近岸低温水之间的锋面特征明显,而且在向岸暖水与近岸冷水间还对应形成了明显的营养盐和叶绿素（Chl-a）锋面。该项研究从多学科交叉的视角,增进了对青岛近海物理、化学和生物过程之间耦合关系的认识。     

边长勘丈法在村庄地籍测量中的应用

探计了村庄地籍测量的三种方法,重点发析了边长勘丈法在溧水县村庄地籍测量的可行性,通过实践对比,分析了该方法对测量成果的精度影响.     

一种基于改进CoHOG的视觉SLAM算法

移动机器人在SLAM的闭环检测环节计算量大、运行时间长、匹配误差大,从而导致闭环检测精度较低。针对该问题,本文在CoHOG闭环检测算法的基础上进行改进,将算法中的HOG描述符改进为GDF-HOG描述符,以增强图像特征表现,提高图像特征提取效率;在匹配环节前添加GDF-HOG全局粗匹配,以减少视觉模板的数量,提高算法的计算效率;在匹配环节后添加感兴趣区域（ROI）位置匹配进行检验,以减少闭环检测的假阳性,提高准确率。将本文闭环检测算法与RatSLAM相结合,在公开数据集与真实环境中进行测试,测试结果表明,本文算法在闭环检测环节的准确率较高,且对环境的适应能力较强。     

城市土地空间利用评价预警调控系统的设计与实现

在土地资源紧缺等"城市病"问题愈发突出的背景下,提高土地集约利用效率是国土资源管理的重点研究方向。为支撑城市土地空间资源集约利用研究,本文在深入研究城市土地利用评价及空间演化模拟技术的基础上,基于C#.NET开发平台,结合ArcGIS Engine组件技术,研发了城市土地空间利用评价预警调控系统,实现土地空间利用评价、预警及政策仿真调控等功能,作为科学管理土地的辅助工具。本文对系统的总体需求、系统结构及主要功能设计与实现进行了阐述,以期为土地资源管理研究及相关软件研发提供参考。     

Estimations of net primary productivity and evapotranspiration based on HJ-1A/B data in Jinggangshan city, China

Net primary productivity(NPP) and evapotranspiration(ET) are two key variables in the carbon and water cycles of terrestrial ecosystems.In this study,to test a newly developed NPP algorithm designed for HJ-1 A/B data and to evaluate the usage of HJ-1 A/B data in the quantitative assessment of environments,NPP and ET in Jinggangshan city,Jiangxi province,are calculated using HJ-1 A/B data.The results illustrate the following:(1) The NPP and ET in Jinggangshan city in 2010 both show obvious seasonal variation,with the highest values in summer and the lowest values in winter,and relatively higher values were observed in autumn than in spring.(2) The spatial pattern indicates that the annual NPP is high in the southern area in Jinggangshan city and low in the northern area.Additionally,high NPP is distributed in forests located in areas with high elevation,and low NPP is found in croplands at low elevations.ET has no significant north-south difference,with high values in the southeast and northwest and low values in the southwest,and high ET is distributed in forests at low elevations in contrast to low ET in forests in high-elevation areas and in cropland and shrub grassland in low-elevation areas.(3) Compared to the MODIS product,the range of HJ-1 NPP is larger,and the spatial pattern is more coincident with the topography.The range of HJ-1 ET is smaller than that of the MODIS product,and ET is underestimated to some extent but can reflect the effect of topography.This study suggests that the algorithm can be used to estimate NPP and ET in a subtropical monsoon climate if remotely sensed images with high spatial resolution are available.     

Evaluating CEOP model performance with the observational data from Tongyu reference site, semi-arid region of China

Using data archived in the Coordinated Enhanced Observing Period (CEOP) project, comparisons between field observations undertaken at Tongyu CEOP reference site in China and model output from year 2003 to 2004 have been implemented, and in particular, the time series and diurnal cycles of precipitation, near-surface temperature, air temperature, and latent and sensible heat fluxes are presented. The results show that the ability of the model simulations on the temperatures, such as air temperature and the surface temperature, is satisfactory compared with the simulations on the land surface heat fluxes and the precipitation at Tongyu site. In addition, the multi-model ensemble exhibits better results over all items in comparison with the observations. The differences of the precipitation at the interannual and the seasonal time scales between the model results and observations indicate that some of the models are able to reproduce the larger amount of precipitation in 2003 than that in 2004, which is consistent with the trend of the observations at Tongyu site even though the mean square errors of models output calculated from daily precipitation during year 2003 and 2004 are even greater than the daily amount of the precipitation. The poor skill in the quantitative simulation of the precipitation indicates that the deficiency of the models in simulating the surface heat fluxes may be closely related to the biases of the precipitation simulations. In terms of the seasonal time series of the precipitation, there is an increase during summer, accompanied by the same increased trend of the latent heat flux and the decreased trend of the sensible heat flux from the insitu observations.     

Diffusion Characteristics of Swells in the North Indian Ocean

Research on the diffusion characteristics of swells contributes positively to wave energy forecasting, swell monitoring, and early warning. In this work, the South Indian Ocean westerly index(SIWI) and Indian Ocean swell diffusion effect index(IOSDEI) are defined on the basis of the 45-year(September 1957–August 2002) ERA-40 wave reanalysis data from the European Centre for Medium-Range Weather Forecasts(ECMWF) to analyze the impact of the South Indian Ocean westerlies on the propagation of swell acreage. The following results were obtained: 1) The South Indian Ocean swell mainly propagates from southwest to northeast. The swell also spreads to the Arabian Sea upon reaching low-latitude waters. The 2.0-meter contour of the swell can reach northward to Sri Lankan waters. 2) The size of the IOSDEI is determined by the SIWI strength. The IOSDEI requires approximately 2–3.5 days to fully respond to the SIWI. The correlations between SIWI and IOSDEI show obvious seasonal differences, with the highest correlations found in December–January–February(DJF) and the lowest correlations observed in June–July–August(JJA). 3) The SIWI and IOSDEI have a common period of approximately 1 week in JJA and DJF. The SIWI leads by approximately 2–3 days in this common period.