北京铁路局降雨量远程实时监测系统的研究与开发——系统软件及性能指标

为北京铁路局各级防洪指挥部门,在汛期能够实时掌握所辖铁路范围内的降雨量情况,实现主动防洪,并做好铁路抗洪抢险准备工作,确保汛期铁路行车安全,笔者研究和开发了北京铁路局\"降雨量远程实时监测系统\".概要介绍了系统软件的运行环境、数据库设计、系统功能以及系统达到的技术性能指标;重点分析了系统软件中数据的传输,以地理信息系统为平台的实时动态显示以及实时数据在Internet网上的发布技术;同时给出了系统在北京铁路局的应用案例.     

基于GIS的建筑物地震次生火灾危险性模拟

地震次生火灾对人类的危害极大,1923年日本关东大地震中,大火烧毁了44.7万栋房屋,烧死5.6万余人.笔者计算了建筑物发生地震次生火灾概率的大小,并在此基础上对建筑物发生地震次生火灾的危险性进行了模拟.通过对基于GIS的建筑物地震次生火灾危险性模拟,为预防地震次生火灾的发生提供有力的依据,同时为地震次生火灾发生后进行应急救灾提供了有力的支持.     

体育教学反馈与自我反馈运用的探讨

体育教学过程中,教学效果的好坏取决于师生双方对过程的调控程度,而对技能教学的调控,则依据教师的教学反馈和学生的自我反馈来实现。在体育教学过程中,教学反馈与自我反馈的有机结合,是提高教学质量的关键。     

基于GIS的芜湖市城市用地扩展规律

利用芜湖市1990年、2000年两个时相的遥感影像进行城市土地利用解译,提取城市新、旧建成区区块用地,通过GIS软件提供的空间统计分析功能,对城市用地空间分布进行定量分析与描述,从而揭示城市用地及其扩展规律.研究结果表明,芜湖市用地扩展呈现明显中心圈层式蔓延和轴向集中性扩展规律的模式.作者提出了城市用地扩展中应注意解决的问题.     

Probabilistic fugacity analysis of Lake Pontchartrain pollution after Hurricane Katrina

After Hurricane Katrina passed through the US Gulf Coast in August 2005, floodwaters covering New Orleans were pumped into Lake Pontchartrain as part of the rehabilitation process in order to make the city habitable again. The long-term consequences of this environmentally critical decision were difficult to assess at the time and were left to observation. In the aftermath of these natural disasters, and in cases of emergency, the proactive use of screening level models may prove to be an important factor in making appropriate decisions to identify cost effective and environmentally friendly mitigation solutions. In this paper, we propose such a model and demonstrate its use through the application of several hypothetical scenarios to examine the likely response of Lake Pontchartrain to the contaminant loading that were possibly in the New Orleans floodwaters. For this purpose, an unsteady-state fugacity model was developed in order to examine the environmental effects of contaminants with different physicochemical characteristics on Lake Pontchartrain. The three representative contaminants selected for this purpose are benzene, atrazine, and polychlorinated biphenyls (PCBs). The proposed approach yields continuous fugacity values for contaminants in the water, air, and sediment compartments of the lake system which are analogous to concentrations. Since contaminant data for the floodwaters are limited, an uncertainty analysis was also performed in this study. The effects of uncertainty in the model parameters were investigated through Monte Carlo analysis. Results indicate that the acceptable recovery of Lake Pontchartrain will require a long period of time. The computed time range for the levels of the three contaminants considered in this study to decrease to maximum contaminant levels (MCLs) is about 1 year to 68 years. The model can be implemented to assess the possible extent of damage inflicted by any storm event on the natural water resources of Southern Louisiana or similar environments elsewhere. Furthermore, the model developed can be used as a useful decision-making tool for planning and remediation in similar emergency situations by examining various potential contamination scenarios and their consequences.     

GIS‐Based Spatial Precipitation Estimation: A Comparison of Geostatistical Approaches1

Abstract: As one of the primary inputs that drive watershed dynamics, the estimation of spatial variability of precipitation has been shown to be crucial for accurate distributed hydrologic modeling. In this study, a Geographic Information System program, which incorporates Nearest Neighborhood (NN), Inverse Distance Weighted (IDW), Simple Kriging (SK), Ordinary Kriging (OK), Simple Kriging with Local Means (SKlm), and Kriging with External Drift (KED), was developed to facilitate automatic spatial precipitation estimation. Elevation and spatial coordinate information were used as auxiliary variables in SKlm and KED methods. The above spatial interpolation methods were applied in the Luohe watershed with an area of 5,239 km², which is located downstream of the Yellow River basin, for estimating 10 years’ (1991‐2000) daily spatial precipitation using 41 rain gauges. The results obtained in this study show that the spatial precipitation maps estimated by different interpolation methods have similar areal mean precipitation depth, but significantly different values of maximum precipitation, minimum precipitation, and coefficient of variation. The accuracy of the spatial precipitation estimated by different interpolation methods was evaluated using a correlation coefficient, Nash‐Sutcliffe efficiency, and relative mean absolute error. Compared with NN and IDW methods that are widely used in distributed hydrologic modeling systems, the geostatistical methods incorporated in this GIS program can provide more accurate spatial precipitation estimation. Overall, the SKlm_EL_X and KED_EL_X, which incorporate both elevation and spatial coordinate as auxiliary into SKlm and KED, respectively, obtained higher correlation coefficient and Nash‐Sutcliffe efficiency, and lower relative mean absolute error than other methods tested. The GIS program developed in this study can serve as an effective and efficient tool to implement advanced geostatistics methods that incorporate auxiliary information to improve spatial precipitation estimation for hydrologic models.     

基于模糊聚类的生态功能区若干指标定量划分的研究

以江苏省沿东陇海线地区为研究区域,利用遥感与G IS工具,研究基于模糊聚类与若干定量指标的生态功能区划方法。该方法选取了5个指标用于区划过程,首先将研究区域分成5×5km大小的空间单元,并提取各单元属性数据生成属性矩阵,利用M atlab模糊逻辑工具箱对单元进行模糊聚类。参照聚类结果与其他资料进行了生态功能区划,并根据区划结果对各分区的产业发展与生态保护提出了建议。