Determination of Turbidity in Kourris Dam in Cyprus Utilizing Landsat TM Remotely Sensed Data

Determination of turbidity is a common component of water-quality assessments. In regions where there are a lot of inland waters such as dams, sampling even a small proportion of those dams for monitoring and assessing water quality is cost prohibitive. Satellite remote sensing has the potential to be a powerful tool for assessing water quality over large spatial scales. The overall objective of this study was to examine whether Landsat-5 TM (Thematic Mapper) and Landsat-7 ETM+ (Enhanced Thematic Mapper) could be used to measure turbidity across theKourris Dam, which is the biggest dam in Cyprus. This paper presents the results obtained by applying the linear regression analysis in order to examine the relationship between the turbidity measurements measured in-situ during the satellite overpass against at-satellite atmospheric corrected reflectance values. It has been found that the reflectance, after atmospheric correction, at LandsatTMBands 1 and 3 is strongly related with turbidity levels after linear regression analysis. The most significant correlation was occurred when reflectance in TM band 3 and logarithmic reflectance in TM band 3 were correlated with turbidity measurements. Indeed, the correlation coefficient (R) when atmospheric corrected reflectance (ρ) in the LandsatTMband 3 were correlated against turbidity, before atmospheric correction was R = 0.38 and after atmospheric correction was R = 1; and when atmospheric corrected logarithmic reflectance (Log ρ) in the Landsat TM band 3 were correlated against turbidity, before atmospheric correction was R = 0.46 and after atmospheric correction was R = 1.     

牡丹江市城区段天然河道水面线回归模型

根据牡丹江不同频率的天然河道各断面水面高程值和各频率洪水的洪峰流量值的实测洪水（或调查洪水）资料，采用线性回归技术，建立了用于牡丹江城区段天然河道水面线计算的数学模型。经在回归计算，各回归方程回归效果较好，均达到极显著水平，该模型可以计算天然河道任意位置，任意频率洪水的水面线，指导防洪规划，设计，调度等工作。     

Values and goals as determinants of intended tenure choice

Housing choice and tenure choice have beenstudied from many different theoreticalperspectives and with a great variety ofmethodological approaches. In explaininghousing choice, researchers have shown theinfluence of both macrolevel (housing market,economic situation) and microlevel (age,income) factors. Relatively little attentionhas been given to motivational microlevelfactors such as goals and values. In thisarticle, the focus is on values and goals asdeterminants of housing choice. Therelationships between these motivationalfactors, other microlevel factors, and housingchoice are specified in an extended means-endmodel which is based on means-end theory. Theempirical validity of this extended model hasbeen partly assessed by using it to predictintended tenure choice. In the article,previous research on the motivations forhousing choice is discussed and the extendedmeans-end model is described. The empiricalresults of applying the model to intendedtenure choice are presented and discussed,while the assessment of the reliability of thevalue scales is also described.     

氨合成反应化学平衡常数计算模型的研究

针对目前氨合成反应化学平衡常数计算模型所存在的问题，提出一种基于径向基函数网络并结合主成分回归方法的网络模型。试验结果表明，该模型用于氨合成反应化学平衡常数的计算，效果良好。     

非线性回归问题的迭代法在地下水动态研究中的应用

本文介绍了非线性回归问题迭代法的教学分析原理，解决了不能用最小二乘法求解的纯非线性回归问题．在地下水研究中应用结果表明：该方法快捷、方便，且计算精度较高，可在微机上实现．     

用测井资料识别烃源岩

根据烃源岩的地质特点 ,提出了地层的弹性参数、铀 /钍比等几个参数也可以反映地层的有机碳含量问题。应用以下2种方法计算地层有机碳含量 :1声波时差与电阻率曲线重叠法 ;2根据实验结果建立的有机碳含量与地层测井响应的回归方程。 2种方法的计算结果与实验结果符合较好     

Application of a new selection algorithm to the development of a wide-range equation of state for refrigerant R134a

Refrigerant R134a (1,1.1,2-tetrafuoroethane) is a leading substitute for refrigerant R12. As such, there has been worldwide activity to develop accurate wide-range equations of state for this fluid. In this study. we have developed a new selection algorithm for determining high-accuracy equations of state in the Helmholtz representation. This method combines least-squares regression analysis with simulated annealing optimization. Simulated annealing, unlike stepwise regression, allows for the controlled acceptance of random increases in the objective function. Thus, this procedure produces a computationally efficient selection algorithm which is not susceptible to the function-space local-minima problems present in a purely stepwise regression approach. Two equations are presented in this work and compared against experimental data and other high-accuracy equations of state for R134a. One equation was produced strictly by using stepwise a regression algorithm, while the other was produced using the simulated-annealing selection algorithm. In both cases the temperature dependence of the equations was restricted to have no terms whose exponents were greater than live.Paper presented at the Twelfth Symposium on Thermophysical Properties. June 19–24, 1994, Boulder, Colorado, U.S.A.     

基于模糊回归的电价预测

利用模糊隶属函数建立了复合回归模型；在复合回归模型基础上，建立了模糊非线性回归模型；给出了求非对称模糊分布的上下边界的线性规划方法；实例应用验证了方法的正确性。     

天荒坪抽水蓄能电站上库廊道渗水观测回归分析

天荒坪抽水蓄能电站上库自首次蓄水至今 ,因廊道渗水异常等原因放空检修多次。应用相关统计模型对上库廊道渗水进行计算分析 ,并采用插值原理 ,用差值回归法对上库廊道渗水进行分量分离。结果表明 :模型选择正确 ,因子选取合理 ,且计算成果能较真实地反映上库廊道渗水的基本规律     

非线性回归模型误差方差估计量分布收敛速度

设σ_n~2是用非线性模型的前n个观察值算出的,基于残差平方和的误差方差σ~2的估计。本文在一定的条件下,推广了线性模型中的有关结果,研究了在非线性模型(1)下σ_n~2—σ~2的收敛速度和G_n(x)收敛于φ(x)的一致性收敛速度的问题。