A NUMERICAL COMPUTATION OF THE WIND-DRIVEN CURRENT IN THE BOHAI SEA

On the basis of shallow water equations, a 2-dimensional model for the wind-driven current is developed in this paper to simulate the mean wind-driven circulation and sea-surface elevation fields respectively in winter and summer, and to describe the general nature of the wind-driven current in the Bohai Sea.Numerical results show that the patterns of the wind-driven circulation in Bohai are mainly the cyclonic circulation in winter and both cyclonic and anticyclonic circulations in summer. A theoretical argument based on vorticity is put up to explain the generating-mechanism of large eddies near the strait, which are considered to be the direct results of the wind stress interaction with topography gradients.     

基于RS与GIS技术的变更图斑自动识别方法研究

基于RS与GIS技术的土地利用变更图斑自动识别方法,即"以遥感正射影像图为基础,以地理信息和地物反射光谱为判别依据"的变更信息识别方法,能够尽量避免传统利用遥感影像分类技术进行地物变更识别存在的不足。本文通过对距离算法的改良,有效利用遥感数据的实时性和丰富性,在地理信息系统的支持下,提高了对地物变更地块的识别精度。     

Environmental Investigation and Evaluation of Land Subsidence in the Datong Coalfield Based on InSAR Technology

Heavy mining of Jurassic and Carboniferous horizontal coal seams in the Datong coalfield has seriously affected the local geological environment, which is mainly manifested by such geohazards as soil avalanches, landslides, mudflows, surface subsidence, surface cracks, surface solid waste accumulation and surface deformation. More seriously, coal mining causes groundwater to leak. Overpumping of groundwater has resulted in substantial land subsidence of the urban area in Datong City. Based on the previous geo-environmental investigation in the work area, the authors used radar remote sensing techniques such as InSAR （synthetic aperture radar interferometry） and D-InSAR （differential synthetic aperture radar interferometry）, supplemented by the optical remote sensing method, for geo-environmental investigation to ascertain the geo-environmental background of the Datong Jurassic and Carboniferous-Permian coalfield and evaluate the effects of the geohazards, thus providing a basis for the geo-environmental protection, geohazard control and prevention, land improvement and optimization of the human environment. In this study 8 cog-nominal ERS-1/2 SAR data frames during 1992 to 2003 were used, but the following processing was made： （1） the multitemporal SAR magnitude images were used to interpret the geological structure, vegetation, microgeomorphology and drainage system; （2） the multi-temporal InSAR coherent images were used to make a classification of surface features and evaluate the coherence change due to coal mining; and （3） the multi-temporal cog-nominal SAR images were used to complete D-InSAR processing to remove the information of differential deformation areas （sites）. In the end, a ten-year time series of differential interferograms were obtained using the multi-temporal cog-nominal SAR images. In the tests, 84 deformed areas （sites） were obtained, belonging to those in 1993-1996, 1996-1997, 1997-1998, 1998-2001, 1998-2002 and 2001-2003 respectively. Of the 84 areas, 44 are m     

造山带异源浆混花岗岩理论与方法研究

1：5万花岗岩填图方法在区调工作中推广以来,在造山带花岗岩调查实践中,由于造山作用及过程的复杂性,花岗岩浆的多源及多样性,使同源岩浆演化理论及方法遇到了难题。文章在新一轮1：25万造山带试点图幅,在对同源岩浆演化理论及方法的适用性进行探索的同时,提出了异源浆混理论指导造山带内部浆混花岗岩（H型花岗岩）的填图方法。并就异源浆混花岗岩鉴别标志等作了系统总结,提出了浆混组合、浆混单元、浆混体,填图的理论方法体系;给予了浆混花岗岩明确的定义。     

像素级遥感图像融合方法研究

多传感器遥感图像融合按信息表征层次的不同,可以分为像素级融合、特征级融合和决策级融合。本文介绍了像素级层次上的多种遥感图像融合方法,阐述了其融合原理和实现过程,分析了它们适用性和优缺点,并给出了遥感图像融合的一般评价指标。     

基于COM/AutoCAD的SPOT5卫星影像地物半自动成图方法

对使用COM ActiveX自动控件接口操作AutoCAD进行介绍,针对利用SPOT5 HRS立体影像进行地物要素成图问题提出基于COM/AutoCAD的矢量化方法,并着重阐述利用该方法制作1∶50 000地形图的主要问题。     

OZONE VALLEY OVER TIBETAN PLATEAU*

We analysed the atmospheric total column ozone temporal and spatial distributions,by using the USA Nimbus Satellite TOMS data provided by the Goddard Space Flight Center of NASA,USA.We ploted the monthly mean total column ozone distributions over China by the averaged data from 1979 to 1991,and found that the atmospheric total column ozone contours were parallel to latitudes in winter and spring. However, from June, the lower center of atmospheric column ozone, called "ozone valley",was formed gradually over the Tibetan Plateau, as shown in Fig.     

山东省德州市“中华碘泉”矿泉水的发现与开发

在山东省德州市首次探明国内稀有含碘饮用用天然矿泉水－－“中华碘泉”,研究表明,矿泉水是在新生代断陷盆地的构造背景和弱碱氧化的水文地球化学环境条件下,地下水与含水介南长期水－岩反应中经溶滤形成的,矿泉水水量丰富,水质优良,为含碘水苏打型矿泉水,但氟含量偏讥;为合理开发这一富足资源,可选用电渗析,倾析方法降低氟含量,并将其作为规模化含碘矿泉水生产的技术工艺。     

A model for thinning of the plasma sheet

A one-dimensional model for thinning of the plasma sheet is developed on the basis of launching a fast mode MHD rarefaction wave propagating in the tailward direction along the plasma sheet. Behind the rarefaction wave the pressure is reduced, leading to thinning of the plasma sheet and also to an Earthward plasma flow with a speed on the order of the sound speed a₀. The plasma sheet thickness is reduced by a factor of 2 if an Earthward plasma flow speed of 0.8a₀ is induced. The predictions of the model are in reasonable agreement with observations.     

Application of back-propagation networks in debris flow prediction

Debris flows have caused serious loss of human lives and a lot of damage to properties in Taiwan over the past decades. Moreover, debris flows have brought massive mud causing water pollution in reservoirs and resulted in water shortage for daily life locally and affected agricultural irrigation and industrial usages seriously. A number of methods for prediction of debris flows have been studied. However, the successful prediction ratio of debris flows cannot always maintain a stable and reliable level. The objective of this study is to present a stable and reliable analytical model for occurrence predictions of debris flows. This study proposes an Artificial Neural Networks (ANN) model that was constructed by seven significant factors using back-propagation (BP) algorithm. These seven factors include (1) length of creek, (2) average slope, (3) effective watershed area, (4) shape coefficient, (5) median size of soil grain, (6) effective cumulative rainfall, and (7) effective rainfall intensity. A total of 178 potential cases of debris flows collected in eastern Taiwan were fed into the ANN model for training and testing. The average ratio of successful prediction reaching 93.82% demonstrates that the presented ANN model with seven significant factors can provide a stable and reliable result for the prediction of debris flows in hazard mitigation and guarding systems.