洪湖的环境变迁与生态保护

洪湖历史上经历了多次变迁，在同类型湖泊中表现出其生态的复杂性和多样性。通过分析洪湖从成湖以来所发生的的湖泊环境变化，阐述了人类活动对洪湖环境带来的一系列生态问题，对洪湖生态环境的恢复与优化提出对策与建议；同时，对于洪湖省级湿地自然保护区的建设和管理提出了科学的、可操作的具体措施。     

移动GIS概念与数据模型

本文剖析了静态GIS、运动GIS、移动GIS、动态GIS的概念,给出了物理解释,提出了移动GIS的体系结构及其几个关键技术的解决方案,据此研制了一套移动GIS系统,并分析了它在国土资源领域中的应用前景。     

基于GeoBeans 的Web GIS 开发与实现

本文在介绍国产Web GIS软件GeoBeans的原理与特点的基础上，探讨了基于GeoBeans的Web GIS开发与实现方法，给出了在某矿田地质信息发布系统中的运用实例。     

孟津县小麦冻害与气象要素调查分析

孟津县2004～2005年冬季持续低温和春季寒流,使小麦遭受冬、春季双重冻害.通过调查小麦冻害苗情,结合气象要素资料分析,找出了小麦冻害的主要影响因素,并制定出消除或减缓冻害的技术措施.     

大震前井水位长周期波生成机理的实验证据

根据一些学者的岩石力学实验结果证实岩石在大破裂前能够产生一种长周期、小振幅的低频事件,并依此来解释大震前井水位长周期事件的物理机制.研究结果表明,大震前井水位长周期事件反映了震源的内部信息,是大震前断裂失稳扩展前预扩展所产生的一种波,是震源成核过程的反映.     

民乐、山丹6.1级地震异常及台站实现短临预报的思考

在综合分析了民乐-山丹6.1级地震前张掖中心台范围内震兆异常特征的基础上,总结了本次地震前该台的短临预报过程及存在的问题,对今后台站如何搞好地震短临预报工作进行了探讨.     

淮安五河口特大桥大口径灌注桩施工实践

介绍了使用大口径钻机，采用泥浆护壁气举反循环回转钻进工艺、进行淮安市五河口特大桥大口径灌注桩施工的工程实践。通过不断提高施工技术措施，摸索与总结出一套成孔施工经验，顺利地完成了施工任务。     

地震活动标度ΔF震前时间扫描异常浅探

运用地震活动标度ΔF对大华北地区MS≥6.0级地震震前资料进行时间扫描,结果表明,地震活动标度ΔF大多在震前1～2年出现超出一倍均方差的异常;运用该方法还对河南及邻区ML≥5.0级地震震前资料进行了探索,同样,中等地震震前也有一定的异常反映。     

Study of statistically correcting model CMAQ-MOS for forecasting regional air quality

Based on analysis of the air pollution observational data at 8 observation sites in Beijing including outer suburbs during the period from September 2004 to March 2005, this paper reveals synchronal and in-phase characteristics in the spatial and temporal variation of air pollutants on a city-proper scale at deferent sites; describes seasonal differences of the pollutant emission influence between the heating and non-heating periods, also significantly local differences of the pollutant emission influence between the urban district and outer suburbs, i.e. the spatial and temporal distribution of air pollutant is closely related with that of the pollutant emission intensity. This study shows that due to complexity of the spatial and temporal distribution of pollution emission sources, the new generation Community Multi-scale Air Quality (CMAQ) model developed by the EPA of USA produced forecasts, as other models did, with a systematic error of significantly lower than observations, albeit the model has better capability than previous models had in predicting the spatial distribution and variation tendency of multi-sort pollutants. The reason might be that the CMAQ adopts average amount of pollutant emission inventory, so that the model is difficult to objectively and finely describe the distribution and variation of pollution emission sources intensity on different spatial and temporal scales in the areas, in which the pollution is to be forecast. In order to correct the systematic prediction error resulting from the average pollutant emission inventory in CMAQ, this study proposes a new way of combining dynamics and statistics and establishes a statistically correcting model CMAQ-MOS for forecasts of regional air quality by utilizing the relationship of CMAQ outputs with corresponding observations, and tests the forecast capability. The investigation of experiments presents that CMAQ-MOS reduces the systematic errors of CMAQ because of the uncertainty of pollution emission inventory and improves the forecast level of air quality. Also this work employed a way of combining point and area forecasting, i.e. taking the products of CMAQ for a center site to forecast air pollution for other sites in vicinity with the scheme of model products "reanalysis" and average over the "area".     

The diurnal and seasonal characteristics of urban heat island variation in Beijing city and surrounding areas and impact factors based on remote sensing satellite data

Based on the land surface temperature (LST), the land cover classification map,vegetation coverage, and surface evapotranspiration derived from EOS-MODIS satellite data, and by the use of GIS spatial analytic technique and multivariate statistical analysis method, the urban heat island (UHI) spatial distribution of the diurnal and seasonal variabilities and its driving forces are studied in Beijing city and surrounding areas in 2001. The relationships among UHI distribution and landcover categories, topographic factor, vegetation greenness, and surface evapotranspiration are analyzed. The results indicate that: (i) The significant UHI occur in Beijing city areas in the four seasons due to high heat capacity and multi-reflection of compression building, as well as with special topographic features of its three sides surrounded by mountains,especially in the summer. The UHI spatial distribution is corresponding with the urban geometry structure profile. The LST difference is approximately 4-6℃ between Beijing city and suburb areas, comparatively is 8- 10℃ between Beijing city area and outer suburb area in northwestern regions. (ii) The UHI distribution and intensity in daytime are different from nighttime in Beijing city area, the nighttime UHI is obvious. However, in the daytime, the significant UHI mainly appears in the summer, the autumn takes second place, and the UHI in the winter and the spring seem not obvious. The surface evapotranspiration in suburb areas is larger than that in urban areas in the summer, and high latent heat exchange is evident, which leads to LST difference between city area and suburb area. (iii) The reflection of surface landcover categories is sensitive to the UHI, the correlation between vegetation greenness and UHI shows obviously negative.The scatterplot shows that there is the negative correlation between NDVI and LST (R2 = 0.6481).The results demonstrate that the vegetation greenness is an important factor for reducing the UHI,and large-scale construction of greenbelts can considerably reduce the UHI effect.