加权支持向量回归机及其在水质预测中的应用

支持向量机是一种基于结构风险最小化原理的学习技术，也是一种新的具有很好泛化性能的回归方法。本文对用于回归估计的标准支持向量机加以改进，提出了一种新的用于回归估计的支持向量机学习算法，针对各样本重要性的差异，给各个样本的惩罚系数和误差要求赋予不同权重，并利用加权支持向量回归机的理论及其算法构建水质预测模型。实验结果表明，该方法对水质具有较好的预测效果。     

城市湖泊水华预警模型研究——以北京“六海”为例

采用决策树方法和非线性回归方法建立湖泊水华预警模型。决策树方法预测水华爆发时机,非线性回归方法预测水华爆发强度,并运用信号灯显示方法,划分出水华爆发的预警区间。以北京六海为例,模型结果表明来水水量Q,温度T和总磷浓度是影响“六海”湖泊水华爆发的主要影响因子,选择叶绿素a(Chl-a)<30 μg/L的预警信号为绿色,30 μg/L60 μg/L为红色。当每月来水量Q>79.0万m3或来水量Q<79.0万m3,水温<13.4℃,预警指标为绿色;Q<79.0万m3,水温T>13.4℃,水华预警为黄色;Q<38.7万m3时,T>23.25℃,TP>0.13 mg/L,水华预警为红色。对模型结果分类进行了验证。结果表明:模型对于限制因素发生变化时的水华预测结果更为准确,并且结构简单,输入输出关系明显,结果易于解释。     

新疆乌兰乌苏物候变化规律及其对气候变化的响应

分析新疆乌兰乌苏农业气象试验站1980—2002年物候与相应气候因子资料,得出乌兰乌苏23a来气温增高,降水增多,气候增暖增湿;候鸟停留时间增长,与积温、日照时数和降水量的年变化趋势一致,除降水外,其他均存在显著正相关关系;木本植物生育期延长,与4—10月平均气温、平均相对湿度、总日照时数和总降水量趋势一致;初霜和终霜均推迟,无霜期缩短;初雪和初次积雪提前,终雪推迟,冬季雪日增长;积雪开始融化提前,完全融化推迟,融化时间增长;土壤表面开始解冻日期趋势提前,而土壤表面开始冻结日期趋势推迟。另外,通过物候与气象因子建立的最优回归方程,获得物候对气候响应的定量关系,为生态环境研究提供一定的理论依据。     

基于CART集成学习的城市不透水层百分比遥感估算

利用Landsat ETM^＋遥感数据，提出了一种基于CART集成学习的ISP遥感亚像元估算方法，将Boosting重采样技术引入CART分析中，用于提高ISP估算的精度。实验结果表明，该方法的ISP估算性能优于传统的单一CART学习算法，从ETM^＋影像中估算的ISP值与真实值之间的相关系数达到0．91，平均偏差为11．16％。     

Transfer processes in a simulated urban street canyon

The transfer processes within and above a simulated urban street canyon were investigated in a generic manner. Computational fluid dynamics (CFD) was used to aid understanding and to produce some simple operational parameterisations. In this study we addressed specifically the commonly met situation where buoyancy effects arising from elevated surface temperatures are not important, i.e. when mechanical forces outweigh buoyancy forces. In a geophysical context this requires that some suitably defined Richardson number is small. From an engineering perspective this is interpreted as the important case when heat transfer within and above urban street canyons is by forced convection. Surprisingly, this particular scenario (for which the heat transfer coefficient between buildings and the flow is largest), has been less well studied than the situation where buoyancy effects are important. The CFD technique was compared against wind-tunnel experiments to provide model evaluation. The height-to-width ratio of the canyon was varied through the range 0.5–5 and the flow was normal to the canyon axis. By setting the canyon’s facets to have the same or different temperatures or to have a partial temperature distribution, simulations were carried out to investigate: (a) the influence of geometry on the flow and mixing within the canyon and (b) the exchange processes within the canyon and across the canyon top interface. Results showed that the vortex-type circulation and turbulence developed within the canyon produced a temperature distribution that was, essentially, spatially uniform (apart from a relatively thin near-wall thermal boundary layer) This allowed the temperatures within the street canyon to be specified by just one value T _can , the canyon temperature. The variation of T _can with wind speed, surface temperatures and geometry was extensively studied. Finally, the exchange velocity u _E across the interface between the canyon and the flow above was calculated based on a heat flux balance within the canyon and between the canyon and the flow above. Results showed that u _E was approximately 1% of a characteristic wind velocity above the street canyon. The problem of radiative exchange is not addressed but it can, of course, be introduced analytically, or computationally, when necessary.     

武汉台重力长期变化分析

通过对武汉台超导重力仪９年多连续观测的重力长期变化资料分析,得到长周期重力潮汐参数、该频段气压回归因子Ｃ、极移重力效应因子Ｐ和长周期气压回归因子Ｃ１分别为：Ｃ：－０．３８３（±０．０１４）×１０－８ｍ·ｓ－２／１００Ｐａ;Ｍｍ：１．１１７３（±０．０７２０）,－１°．１７８７（±３°．６９４３）;Ｍｆ：１．１４３２（±０．０４８４）,５°．２２３５（±２°．４２５３）;Ｍｔｍ：１．２２７６（±０．２２４５）,－１７°．５６４８（±１０°．４７５８）;Ｃ１：－０．３１２（±０．０１５）×１０－８ｍ·ｓ－２／１００Ｐａ;Ｐ：１．９０４７（±０．０６９５）．重力长期变化在Ｃｈａｎｄｌｅｒ周期附近的振幅约为３．２６×１０－８ｍ·ｓ－２。     

基于岭估计的SPOT影像外方位元素的解算方法

后方交会法解求 SPOT卫星影像的外方位元素时 ,其法方程系数矩阵经常产生很严重的病态 ,若用最小二乘法估计 ,参数解将明显偏离真值 ,甚至无法解得外方位元素。本文中提出了用最小二乘岭估计的方法解求外方位元素 ,实验证明这是非常有效的。     

教育测量数据的多元自建模模型分析

将关于形状不变的自建模回归模型推广到多元自变量,解决了计算问题,并结合教育测量数据给出了实例。该模型既可以反映多条曲线走势的共性,又可以反映每条曲线之间的相互关系及其个性。     

On the solar cycle dependence of winds and planetary waves as seen from mid-latitude D1 LF mesopause region wind measurements

At the Collm Observatory of the University of Leipzig LF D1 low-frequency total reflection nighttime wind measurements have been carried out continuously for more than two decades. Using a multiple regression analysis to derive prevailing winds, tides and the quasi-2-day wave from the half-hourly mean values of the horizontal wind components, monthly mean values of mesopause wind parameters are obtained that can be analysed with respect to long-term trends and influences of solar variability. The response of the prevailing wind to the 11-year solar cycle differs throughout the year. While in winter no significant correlation between the zonal prevailing wind and solar activity is found, in spring and summer a negative correlation between the TWC can be seen from the measurements. This is connected with stronger vertical gradients of the zonal prevailing wind during solar maximum than during solar minimum. Since the amplitude of the quasi-2-day wave is dependent on the zonal mean wind vertical gradient, this is connected with a positive correlation between solar activity and quasi-two-day wave activity.Paper Presented at the Second IAGA/ICMA (IAMAS) Workshop on Solar Activity Forcing of the Middle Atmosphere, Prague, August 1997     

利用变参数回归方法反演泥质岩裂缝密度

本文利用变参数回归分析建立了多口井的泥质岩储层裂缝密度模型。该模型的平均相对误差为１３．５％,较常系数回归分析、ＢＰ网络模型进行裂缝预测的精度高（平均相对误差分别为３８．７％、１７．９％）。通过实际资料处理认为该油田在纵向上随时代变老,深度加深,裂缝密度降低。即从Ｎ２２、Ｎ１２到Ｎ１,平均裂缝密度从０．７８条／ｍ、０．５条／ｍ降低到０．３条／ｍ。在平面上,沿构造轴部裂缝最发育,平均裂缝密度Ｎ２２、Ｎ１２、Ｎ１层分别为０．５８条／ｍ、０．６条／ｍ、０．３条／ｍ。