海量地形数据的Web发布与交互浏览

阐述了基于CORBA的分布式平台实现异构网络环境下海量地形数据的Web发布与服务的关键技术 ,通过一个实验系统对上述方法进行了测试     

地球重力场、重力、重力梯度在三维直角坐标系中的表达式

现代卫星重力测量主要利用星载GPS接收机、加速度计、星载测距仪等来确定重力卫星的轨道 ,削弱非保守力的干扰 ,由此根据卫星的位置、速度及其变率来确定地球重力场。而上述GPS等星载仪器所提供的数据 ,包括卫星轨道坐标及其速率、扰动加速度、星间距离及其变率 ,都是以三维直角坐标 (x ,y ,z)的形式表示的 ,因此 ,地球重力场、重力和重力梯度在三维直角坐标系中的表达式在卫星重力解算中具有实际意义     

山东省农田干旱预警模型

提出农田干旱强度的概念，反映受旱强度、受旱面积、干旱持续时间的综合作用，对于不同地域范围、不同时段的旱情具有可比性。应用1975-1994年逐旬全省受旱面积资料，计算山东省平均春旱强度、夏秋旱强度、年干旱强度，并与前期或同期降水量进行回归分析，建立干旱预警模型，可根据各地区降水量预报值预测当地后期的干旱强度。     

Numerical Simulation of Wind and Temperature Fields over Beijing Area in Summer

1. IntroductionThe basic role of urban-rural boundary layer re-search is to study all kinds of physical process changesin the atmosphere boundary layer over urban and itssurrounding areas. Urban heat island (UHI) is a well-known feature of urban-rural climate. Attempts toincrease the understanding of the causes of the UHIand other urban-rural boundary layer phenomena haveused observational, theoretical and modelling methodssince long before. Seaman (1989) used a hydrostaticmodel, with real …     

2003年12月1日新疆昭苏6.1级地震烈度与房屋震害

介绍了2003年12月1日新疆昭苏6.1级地震的现场考察结果.该地震宏观震中位于受灾最重的兵团农四师76团11连西侧,极震区烈度为Ⅷ度;圈定出Ⅷ度、Ⅶ度和Ⅵ度3条等震线.此次考察还着重考察了震区各类典型建筑的受损特征,对受损原因作了初步分析,所取得的经验可供类似地区抗震设防和民房改造工作参考.     

刍议国际地震保险投保率

地震灾难带来的损失日益增加的问题，让保险业至今难以应对。地震发生频率低、损失巨大而保险公司的承保能力又十分有限，加之，社会公众的投保意识薄弱，造成地震保险投保率过低。从地震灾情入手，介绍了国际地震保险开展情况，剖析了地震保险投保率过低的原因，并针对问题提出了解决措施。     

2000年以来中国大陆5级以上地震近源区的相继发震特征与预测

通过对中国大陆除新疆和东北深震区以外的主要地区2000年以来5级以上地震活动特征的研究发现,5级以上地震近源区的相继发震是某些区域地震活动的重要特征。依据这一特征可以对今后研究区内5级以上地震的后续地震作中期预测。     

Strong earthquake activity all over the world and strong-moderate earthquake activity within and near China (December 2004～January 2005)

Illustration All the data in this catalog are chosen from the ″Preliminary Seismological Report of Chi-nese Seismic Stations″ (Its abbreviation is ″Monthly Report″). The catalog includes the events of M≥4.7 in and near China and M≥6 all over the world. The ″Monthly Report″ is monthly compiled by the Ninth Section of Institute of Geophysics, China Earthquake Administration. The origin times of earthquakes in the catalog adopt coordinated universal time (UTC) in accordance with…     

Strong earthquake activity all over the world and strong-moderate earthquake activity within and near China (June, 2005～July, 2005)

Illustration All the data in this catalog are chosen from the ″Preliminary Seismological Report of Chi-nese Seismic Stations″ (Its abbreviation is ″Monthly Report″). The catalog includes the events of M≥4.7 in and near China and M≥6 all over the world. The ″Monthly Report″ is monthly compiled by the Ninth Section of Institute of Geophysics, China Earthquake Administration. The origin times of earthquakes in the catalog adopt coordinated universal time (UTC) in accordance with…     

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".