基于GIS和SD方法的社会经济发展与生态环境响应动态模拟预测研究

在着重于空间现象分析处理的GIS与动态模拟的SD方法结合的模式下，动态模拟预测了不同社会经济发展策略对生态环境的影响，揭示了生态经济系统社会经济发展与生态环境相互影响关系，为区域可持续发展提供决策支持服务。     

基于规则知识的空间推理研究

在一般空间推理的基础上 ,提出了空间推理扩展 ,即基于规则知识的空间推理。该方法结合了人工智能的基本原理 ,继承并发展了空间推理的方法学 ,其推理过程建立在空间知识与模型集成的基础上 ,以规则知识为推理控制 ,因而更符合实际 ,具有更大的灵活性。实例验证了本方法的正确性。     

The temporal and spatial characteristics of the surface air temperature variations over the Antarctic and its surrounding area

The characteristics of the spatial distribution, temporal variations trend and oscillation for the surface air temperature variations during 1957—1993 in the Antarctic and its surrounding area were analyzed. The results show that the short-time climate change in the Antarctic is complex both temporally and spatially. The Antarctic is by no means the strongest responding region to the global greenhouse effect. There is a distinguished difference in the trends of the temperature changes for the Antarctic and global mean, which could not be explained simply by the global greenhouse effect. Project supported by the National Antarctic Key Project of China (85-905).     

SMA-MR复合型阻尼器

利用形状记忆合金超弹性、形状记忆特性和MR液的材料特性，提出了SMA-MR复合阻尼器，建立了阻尼器的理论模型。通过输入正弦波得到小震、大震时相应的滞回曲线，并对一单层框架进行输入El Centro地震波下的减震效果分析，比较了SMA-MR阻尼器、仅有SMA和仅有MR作用下的减震效果。结果表明，所设计的SMA-MR阻尼器具有卓越的阻尼性能，对大震、小震的控制实现了自适应的智能性。     

由一组显著地震活动看地震应力场的"聚""散"过程

2002年8月21日至10月20日，华北地区发生了一组显著地震活动。通过该组显著地震活动的时空分布特点，分析了华北地区这一轮地震应力场的“聚”“散”过程，讨论了华北块体北缘地震带及与之紧邻的内蒙古西乌珠穆沁旗地震区未来的活动趋势，所得认识对今后该区的震情动态跟踪监视、趋势估计乃至地震短期预测判断具有一定的现实意义。     

BECAPEX科学试验城市建筑群落边界层大气环境特征及其影响

20 0 1～ 2 0 0 3年在北京实施了大气边界层动力、热力、化学综合观测试验 (BECAPEX ,BeijingCityAtmosphericPollutionObservationFieldExperiment) ,获取了北京城市大气动力和大气化学三维结构图像。综合观测试验分析研究发现 ,城市区域呈非均匀次生尺度热岛分布 ,并伴随着城市次生尺度环流 ,影响了局地空气污染物分布特征。MODIS卫星遥感 地面观测资料经过变分分析 ,可发现北京城市空气污染与周边区域影响源有密切关系 ,并影响城市群落环境气候特征 ,导致该区域日照、雾日、低云量和能见度呈显著年代际变化趋势。     

论数字城市工程及其技术体系

分析了数字城市的内涵 ,基于数字工程思想 ,总结了数字城市的工程结构与技术体系 ,进而阐述了数字城市的意义与建设策略。     

基于OpenGIS规范的地理信息系统组件的内核及功能设计

提出了符合OpenGIS规范的二维地理信息系统组件软件MapManager的设计思想 ,介绍了MapManager的设计过程 ,并对其不足和进一步研究方向进行了讨论。     

A precise monitoring of snow surface height in the region of Lambert Glacier basin-Amery Ice Shelf,East Antarctica

The net surface snow accumulation on the Antarctic ice sheet is determined by a combination of precipitation, sublimation and wind redistribution. We present a one-year record of hourly snow-height measurements at LGB69 (70°50'S, 77°04'E, 1850 m a.s.l.). east side of Lambert Glacier basin (LGB), and 4 year record at G3 (70°53'S, 69°52'E, 84 m a.s.l.), Amery Ice Shelf (AIS). The measurements were made with ultrasonic sensors mounted on automatic weather stations installed at two sites. The snow accumulation at LGB69 is approximately 70 cm. Throughout the winter, between April and September, there was little change in surface snow height (SSH) at the two sites. The negative SSH change is due to densification at LGB69, and is due to both ablation and densification at G3. The strongest accumulation at two sites occurred during the period between October and March (accounting for 101.6% at LGB69), with four episodic increasing events occurring during 2002 for LGB69, and eight events during 1999-2002 for G     

Changes in the spatial scale of Beijing UHI and urban development

The seasonal and interannual variations of Beijing urban heat island (UHI) are investigated in this paper using the temperature data from 1960 to 2000 at 20 meteorological stations in the Beijing region, and then the relationship between the intensity and spatial scale of UHI and Beijing urbanization indices is analyzed and discussed. Main conclusions are the followings. First, Beijing UHI shows obvious seasonal variations, and it is strongest in winter, next in spring and autumn, and least in summer. The seasonal variation of the UHI mainly occurs in the urban area. The UHI intensity at the center of Beijing is more than 0.8℃ in winter, and only 0.5℃ in summer. Second, the intensity of Beijing HUI exhibits a clear interannual warming trend with its mean growth rate (MGR) being 0.3088℃/10 a. The MGR of HUI is largest in winter, next in spring and autumn, and least in summer, and the urban temperature increase makes a major contribution to the growth of HUI intensity. Third, since the Reform and Opening, the urbanization indices have grown several ten times or even one hundred times, the intensity of HUI has increased dramatically, and its spatial scale also expanded distinctively along with the expansion of urban architectural complexes. Fourth, the interannual variation of urbanization indices is very similar with that of HUI intensity, and their linear correlation coefficients are significant at a more than 0.001 confidence level.