Application of Linear Thermodynamics to the Atmospheric System. Part Ⅰ: Linear Phenomenological Relations and Thermodynamic Property of the Atmospheric System

从一般的热力学原理或其它自然原理对唯象关系所强加的限制，能够演绎出大气系统的一系列热力学性质。利用非平衡态线性热力学导出了湍流K闭合理论中湍流交换系数同唯象系数的关系，从理论上证明大气系统热量湍流输送同水泡之间存在交叉耦合，还导出了湍流强度同速度和位温梯度的关系，从而证明速度和位温空间分布的非均匀性是湍流之源。并证明湍流强度定理，不可压缩气体和各向同性湍流大气中，湍流强度正比于速度与位温梯度的标积。进而证明大气涡旋定理，位温的切变将导致涡旋运动或各种环流运动，速度涡度等于速度同位温相对梯度的矢积。展现了线性热力学在大气系统的应用前景。     

因子计量图的新思路

R型因子分析中，因子计量从所有原始变量中将某一特定因子的有关信息集中起来，可被用来解释某一特定地质作用形成的样品在不同空间的分布等问题，由已知典型地质体的元素含量等地球化学指标计算出来的因子计量系数矩阵作为模型，用这个模型可以计算未知地质体的因子计量，这种方法，不仅可以节省每次加入新样品或舍去部分样品时所有因子计量图都需要重新做的繁重的工作量，而且更重要的是这种图的地球化学意义明确，使我们能够用已知的典型地质现象去预测未知地质观象提供了一条新的途径。     

可控深度电法对水平柱体和垂直界面的计算和实验

球状地球体可控深度电法的效应系数可近似地全面表达可控深度电法和各种效应。通过点源二度体的电算模拟实验，证明了该方法在水平柱状体和地下存在电阻率垂直界面的条件下，也是有效的。     

三峡库区滑坡治理工程设计中推力荷载计算方法初探

随着三峡水利工程的逐步实施，淹没区移民及新城镇建设等人类工程活动的加剧，以滑坡为主的环境地质问题日益突出。本文从稳定系数、安全系数入手，对铁道、公路等部门常用的设计计算原理进行了研究，并由此类比分析研究了三峡区回水后或库水位正常运行条件下，滑坡治理工程设计计算方法。     

确定边坡最危险滑动面的计算机模拟

边坡稳定性分析 ,关键是确定潜在的滑动面 ,目的是有利于工程安全。本文编制了二、三维计算机模拟程序 ,在二维模拟中提出了四种计算模式 ,三维模拟中考虑了空间、荷载、渗流效应 ,结合工程实例对边坡进行模拟并对土层抗剪强度参数进行了反演 ,模拟计算与实测结果吻合 ,模拟出的抗剪强度参数平均值与实测的抗剪强度参数标准值相当     

沙漠化:从圈层耦合到全球变化

从沙漠化概念提出伊始 ,沙漠化成因机理的研究就一直成为学术界关注的焦点。沙漠化过程究竟有多少是由自然因素所致 ,多少是由人类活动所为 ,诸因素与沙漠化之间有何内在关系 ,沙尘天气发生发展过程及其诱因等 ,当属地球系统科学应解决的难题。文章从全球变化的角度 ,将沙漠系统视作一种类生命的非线性动力系统 ,指出沙漠化源于地球表层系统各圈层之间复杂的相关与耦合作用 :气候变化是控制沙漠进退的首要因素 ;陆表水持续亏损则是导致干旱、半干旱地区沙漠化发展的直接原因 ;岩石圈构造运动塑造了不同的地形地貌单元 ,奠定了沙漠分布的地理格局 ;人类的不当活动和气候变化引起的生物生产力的衰退及土地覆盖的破坏 ,造成了现代沙漠化的快速扩张。     

电磁波CT技术在探测堤坝工程中的应用

应用电磁波CT探测技术对流溪何竹料段大堤和丰顺县虎局水库大坝渗水通道进行了探测研究，由于电磁波的吸收系数和地层结构有密切关系，因此，电磁波CT是通过能量的变化观测反演吸收系数的分布，进而推测地下构造的分布，利用电磁波的吸收系数为层析物理量，在钻孔中进行透射观测，以优于0.5m的分辨率清楚地揭示了测区内渗水层位的分布情况。     

Evapotranspiration from citrus trees growing in sandy soilunder drip irrigation with saline water

An experiment on evapotranspiration from citrus trees under irrigation with saline waterwas carried out for 4 months. Two lysimeters planted with a citrus tree in the green house wereused. One lysimeter was irrigated with saline water (NaCl and CaCl2 of 2000 mg/L equivalence,EC = 3.8 dS/m, SAR = 5.9) and the other was irrigated with freshwater using drip irrigation. Theapplied irrigation water was 1.2 times that of the evapotranspiration on the previous day.Evapotranspiration was calculated as the change in lysimeter weight recorded every 30 minutes.The lysimeters were filled with soil with 95.8% sand. The results of the experiment were as follows.(i) The evapotranspiration from citrus tree was reduced after irrigation with saline water. Theevapotranspiration returns to normal after leaching. However it takes months to exhaust the saltfrom the tree. ( ii ) To estimate the impact of irrigation with saline water on the evapotranspirationfrom citrus trees, the reduction coefficient due to salt stress (Ks) was used in this experiment.Evapotranspiration under irrigation with saline water (ETs) can be calculated from evapotranspira-tion under irrigation with freshwater (ET) by the equation ETs = Ks× ET. Ks can be expressed as afunction of ECsw. (iii) The critical soil-water electrical conductivity (ECsw) is 9.5 dS/m, beyondwhich adverse effects on evapotranspiration begin to appear. If ECsw can be controlled at below9.5 dS/m, saline water can be safely used for irrigation.     

乌鲁木齐台钻孔应变与水位相关性的初步研究

1999年 7月 11日乌鲁木齐台钻孔应变观测井的水位突然变化 ,通过计算该台应变与水位的相关系数和回归系数 ,研究了水位与应变的关系 ,认为利用此关系可以排除水位对观测值的影响     

Size Scaling of Cross Correlation Between Multiple Variables

Reservoir models have large uncertainty because of spatial variability and limited sample data. The ultimate aim is to use simultaneously all available data sources to reduce uncertainty and provide reliable reservoir models for resource assessment and flow simulation. Seismic impedance or some other attribute provides a key source of data for reservoir modeling. These seismic data are at a coarser scale than the hard well data and it not an exact measurement of facies proportions or porosity. A requirement for data integration is the cross-covariance between the well and seismic data.The size-scaling behavior of the cross correlation for different measurement scales was nvestigated. The size-scaling relationship is derived theoretically and validated by numerical studies (including an example with real data). The limit properties of the cross-correlation coefficient when the averaging volume becomes large is shown. After some averaging volume, the volume-dependent cross-correlation coefficient reaches a limit value. This plateau value is controlled mainly by the large-scale behavior of the cross and direct variograms.The cross correlation can increase or decrease with volume support depending on the relative importance of long- and short-scale covariance structures. If the direct and cross variograms are proportional, there is no change in the cross correlation as the averaging volume changes. Our study shows that the volume-dependent cross-correlation coefficient is sensitive to the shape of the cross variogram and differences between the direct variograms of the well data and seismic data.