Excel在约旦18号死海海堤沉降监测中的应用

通过死海南端约旦18号海堤的沉降监测实例,总结了用Microsoft Excel在国外进行沉降监测资料整理的方法和体会,并较为全面地介绍了各类图表的意义,这些方法可在类似的监测工作中予以借鉴。     

松花江干流（哈尔滨段）春季最低水位预测方法

利用1949~2003年松花江(哈尔滨段)最低水位资料,分析松花江干流(哈尔滨段)春季最低水位变化规律和典型枯水年成因,分析了其与松花江、嫩江等松花江流域面雨量的相关性,与拉尼娜、厄尔尼诺、太阳黑子等的关系。以松花江、嫩江、第二松花江流域7~11月面雨量总和及前一年松花江干流(哈尔滨段)最高水位为因子,预测2004~2013年松花江干流(哈尔滨段)最低水位。利用方差周期方法、均生函数方法对2004~2013年拉尼娜、厄尔尼诺、太阳黑子及松花江、嫩江、第二松花江流域月面雨量进行预测,并以此预测对2004~2013年松花江干流(哈尔滨段)最低水位进行订正,得出预测结论。     

宝鸡市2005-09-20强对流暴雨分析

利用M ICAPS系统资料和卫星云图及多普勒雷达资料对2005-09-20宝鸡强对流暴雨进行分析,结果表明此次强降水与副高外围暖湿气流和东西两路冷空气形成的锢囚锋共同影响有关。低空急流为暴雨提供了丰沛的水汽和位势不稳定能量;横槽转竖和高原槽的合并加深,有利于引导冷空气南下,锋区加强。物理量场表现出水汽强辐合;高层辐散和低层辐合及强烈的上升运动;等sθe线密集区蕴藏着可供中尺度对流发展所必需的不稳定能量。冷、暖空气共同作用激发出中-α尺度对流云团;雷达图上对应有强度≥35 dB z的中尺度对流回波带。     

2004年气象因子对棉花生长的影响

针对2004年石河子气象因子对棉花减产的影响进行分析,得出棉花减产因素为:春季土墒、花期暴雨、铃期低温、病虫害、早霜,并提出了相应的对策。     

一场大范围强对流天气的成因分析

利用常规气象资料,对造成2005年5月30日大范围强对流天气过程的中α尺度对流系统发生、发展的大尺度环流背景、天气尺度影响系统、卫星云图逐时演变情况和大气层结稳定度进行了天气学分析;利用T213数值模式的物理量预报产品对造成此次强对流天气过程的中α尺度对流系统发生、发展的物理量场分布进行了动力学诊断分析。分析表明:此次中α尺度对流系统的发生、发展是典型的由于蒙古冷涡旋转东移南压,在高低层有高空急流和低空急流,低层有暖湿舌伸展,中层有干舌叠加在低层湿舌之上和大范围存在对流不稳定层结等诸多有利的温湿条件和动力条件下,首先激发中γ尺度对流系统,再由几个中γ尺度对流系统合并而成中β尺度对流系统,然后由几个中β尺度对流系统合并发展而成。     

FEATURES OF WATER VAPOR TRANSPORT OF TYPHOON DAN (9914)

The 2.5^。×2.52^。 gridded ECMWF reanalysis data are used to diagnose the genesis, development and dissipation of typhoon Dan by calculated stream function, velocity potential and vapor budget. It is shown in the result that when typhoon Dan moved westwards, water vapor mainly came from the eastern and western boundaries, with most of it was transferred by the easterly flow south of the western North Pacific subtropical high; after Dan swerved northwards, water vapor mainly came from western boundary of the typhoon, and the vapor came from the South China Sea and the Indian Ocean. The transfer of water vapor was mainly concentrated on the mid-lower troposphere, especially the level of 925hPa, at which the most intensive transfer belt was located. During the different period of typhoon Dan, there was great water vapor change as indicated by stream function, velocity potential and vapor budget, which suggest the importance of water vapor in the development of typhoon Dan.     

THE VARIATION OF THE SPRING PRECIPITATION IN GUANGZHOU AND ITS PRECURSORY SIGNALS

Guangzhou spring rainfall mainly exhibits interannual variation of Quasi-biannual and interdecadal variation of 30 yrs, and is in the period of weak rainfall at interdecadal time scale. SST anomalies (SSTA) of Nino3 are the strongest precursor of Guangzhou spring rainfall. They have significant positive correlation from previous November and persist stably to April. Nino3 SSTA in the previous winter affects Guangzhou spring rainfall through North Pacific subtropical high and low wind in spring. When Nino3 SSTA is positive in the previous winter, spring subtropical high is intense and westward, South China is located in the area of ascending airflow at the edge of the subtropical high, and water vapor transporting to South China is intensified by anticyclone circulation to the east of the Philippines. So Guangzhou spring rainfall is heavy. When Nino3 SSTA is negative, the subtropical high is weak and eastward, South China is far away from the subtropical high and is located in the area of descending airflow, and water vapor transporting to South China is weak because low-level cyclonic circulation controls areas to the east of the Philippines and north wind prevails in South China. So Guangzhou spring rainfall is weak and spring drought is resulted.     

An Aggregate Constraint Method for Inequality-constrained Least Squares Problems

The inequality-constrained least squares (ICLS) problem can be solved by the simplex algorithm of quadratic programming. The ICLS problem may also be reformulated as a Bayesian problem and solved by using the Bayesian principle. This paper proposes using the aggregate constraint method of non-linear programming to solve the ICLS problem by converting many inequality constraints into one equality constraint, which is a basic augmented Lagrangean algorithm for deriving the solution to equality-constrained non-linear programming problems. Since the new approach finds the active constraints, we can derive the approximate algorithm-dependent statistical properties of the solution. As a result, some conclusions about the superiority of the estimator can be approximately made. Two simulated examples are given to show how to compute the approximate statistical properties and to show that the reasonable inequality constraints can improve the results of geodetic network with an ill-conditioned normal matrix.     

Band Selection for Hyperspectral Image Classification Using Mutual Information

Spectral band selection is a fundamental problem in hyperspectral data processing. In this letter, a new band-selection method based on mutual information (MI) is proposed. MI measures the statistical dependence between two random variables and can therefore be used to evaluate the relative utility of each band to classification. A new strategy is described to estimate the MI using a priori knowledge of the scene, reducing reliance on a "ground truth" reference map, by retaining bands with high associated MI values (subject to the so-called "complementary" conditions). Simulations of classification performance on 16 classes of vegetation from the AVIRIS 92AV3C data set show the effectiveness of the method, which outperforms an MI-based method using the associated reference map, an entropy-based method, and a correlation-based method. It is also competitive with the steepest ascent algorithm at much lower computational cost     

遥感技术在防震减灾领域中的应用

为了有效地组织救灾和震后重建,快速地获取地震造成的破坏程度、破坏范围成为至关重要的一环。遥感技术本身所具有的宏观性、时效性、经济高效性使其被广泛应用于防震减灾事业中。本文简单介绍了遥感技术的原理、特点及其在防震减灾领域中的应用历史及现状。在借鉴已有成果的基础上较系统地阐述了遥感技术在地震防灾方面的应用及展望。