论江苏若干矿产资源开发利用的新方向

江苏泥炭大多数为低有机质分解较强的低位泥炭，适于制作肥料或制成腐肥使用；江苏硅质原料丰富，一种以硅为主的化肥——硅肥正日益显示其重要性；湖泊淤泥具有颗粒微细、含砂量少、可塑性高、结合力强、干燥敏感性好和收缩率较大等特点，是生产空心砖的最佳原料；高家边组泥页岩和坟头组底部细粉砂质泥岩及泥质粉砂岩是良好的陶粒原料、砖瓦、陶瓷建材以及水泥用粘土质原料；利用矿泉水与茶的结合能够生产出高、中、低多效应的复合型新产品。上述尚未被利用或利用程度不够的矿产资源有着广泛的开发利用前景。     

Determination of the elastic modulus set of foliated rocks from ultrasonic velocity measurements

Ultrasonic measurements of compressional and shear wave velocities under hydrostatic pressure up to 70 MPa were carried out on cylindrical specimens cored across and along the foliation planes. Our measurements revealed that the foliation of the metamorphic rocks induces a clear velocity anisotropy between two orthogonal directions; faster along the foliation plane and slower across the plane in most rock types. All velocity components monotonically increase with the confining pressure, probably due to the closure of microcracks distributed in rock specimens. We determined the complete set of dynamic moduli of foliated metamorphic rocks with two assumptions; transverse isotropy due to the foliation and ellipsoidal seismic energy propagation from a point source. The calculated elastic moduli referring to different directions could be valuable for the design of various engineering structures in planar textured rock mass.     

数字地质编录中坡面展示影像图的制作研究

基于影像的数字地质编录是摄影测量和工程地质学科边缘交叉发展的技术成果之一．目前仍处于研究阶段。介绍了影像数字地质编录中坡面展示影像图的制作原理及其流程，重点阐述了畸变校正后像片坡面影像几何纠正的两种不同的处理方法。实践表明，两种处理方法的结合能够很好地满足数字地质编录中对展示影像图的生成及使用的要求。     

利用热红外温差识别沙尘

沙尘识别是沙尘灾害监测和沙尘气溶胶特性研究的首要工作。利用辐射传输方程进行了沙尘气溶胶的辐射计算 ,对不同沙尘气溶胶光学厚度下的热红外通道温差ΔT(T11μm-T12 μm)的变化进行了分析。理论分析表明 ,利用热红外通道的温度差ΔT进行陆地沙尘识别是可行的。并利用NOAA AVHRR热红外通道的温度差ΔT进行了陆地沙尘识别的实验 ,经与地面气象站实测的沙尘天气现象相比较 ,结果一致。     

HJ3A型低温恒温槽故障的排除

HJ3A型低温恒温槽是由中华人民共和国重庆试验设备厂生产的用于一等水银温度计及其它温度计检定、对比、及定点用的设备。1997年省气象技术装备中心购置,同年在气象仪器计量所正式投入业务运行。由于该设备承担山西省100多个气象台站大约2000支左右温度表检定任务,故使用频率比     

西风带研究动态

本文较为详细地介绍了影响我国气候的重要因子——西风带的一些国内外最新研究动态,这些研究动态和研究成果将对山西省的气候研究起到积极作用。     

宝鸡市气候服务系统

本文首先给出了雨水集蓄利用的概念，针对黄土高原地区十分匮乏的水资源和严重的水土流失现状，提出了在该区实施雨水集蓄的可行性。在此基础上，对雨水集蓄利用在各个方面所取得的成就和存在的问题，进行了深入细致的分析，并对亟待解决的问题和今后的发展方向进行了展望。     

自动风向转换程序设计思路

由于OSSMO 2004版地面测报业务软件中抄录报表风向不太方便，故长治县气象局自行设计了自动风向角度和方位的转换程序。本程序用OBJECT PASCAL语言编写，在DELPHI中实现，采用Microsoft．Jet．OLEDB．4．0数据库引擎及ADO的方式操作数据库。     

Seasonal Variation of the East Asian Subtropical Westerly Jet and Its Association with the Heating Field over East Asia

The structure and seasonal variation of the East Asian Subtropical Westerly Jet （EAWJ） and associations with heating fields over East Asia are examined by using NCEP/NCAR reanalysis data. Obvious differences exist in the westerly jet intensity and location in different regions and seasons due to the ocean-land distribution and seasonal thermal contrast, as well as the dynamic and thermodynamic impacts of the Tibetan Plateau. In winter, the EAWJ center is situated over the western Pacific Ocean and the intensity is reduced gradually from east to west over the East Asian region. In summer, the EAWJ center is located over the north of the Tibetan Plateau and the jet intensity is reduced evidently compared with that in winter. The EAWJ seasonal evolution is characterized by the obvious longitudinal inconsistency of the northward migration and in-phase southward retreat of the EAWJ axis. A good correspondence between the seasonal variations of EAWJ and the meridional differences of air temperature （MDT） in the mid-upper troposphere demonstrates that the MDT is the basic reason for the seasonal variation of EAWJ. Correlation analyses indicate that the Kuroshio Current region to the south of Japan and the Tibetan Plateau are the key areas for the variations of the EAWJ intensities in winter and in summer, respectively. The strong sensible and latent heating in the Kuroshio Current region is closely related to the intensification of EAWJ in winter. In summer, strong sensible heating in the Tibetan Plateau corresponds to the EAWJ strengthening and southward shift, while the weak sensible heating in the Tibetan Plateau is consistent with the EAWJ weakening and northward migration.     

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".