小兴安岭森林生态系统中小型土壤动物生态地理分布特征

对小兴安岭森林生态系统10个生境中小型土壤动物的数量和类群组成、多样性、生态地理分布及群落排序进行研究.从水平分布看,中小型土壤动物个体数最多的是人工云冷杉林,类群数最多的是赤杨林,个体数和类群数最少的均为林间草甸.中小型土壤动物在土壤中的垂直分布具有明显的表聚性,但各生境的变化情况略有不同.10个生境多样性指数和丰富度指数在人工林和相应的天然林内的变化趋势相反.而均匀度指数和优势度指数差异不大.排序结果显示云冷杉红松林、云冷杉林、赤杨林和林间草甸与其它生境差异较大.     

硫酸根分析技术及应用现状

就近年来硫酸根检测分析技术及应用现状作一综述,并着重对重量法、滴定法、原子吸收法、光度法、荧光法、离子色谱法、离子选择电极法、ICP-AES法测定硫酸根进行了评述,为在医药、食品、化工生产和环境监测方面的应用提供了依据。     

多分类器组合方法的遥感技术研究

将光谱聚类方法应用于高光谱遥感数据处理,对低反射率地物信息的提取取得较好效果;同时采用决策树的多分类器组合方法提取高光谱遥感影像信息,经对比研究发现其效果明显优于单个分类器。     

A latent class MDS model with spatial constraints for non-stationary spatial covariance estimation

Multidimensional scaling (MDS) has played an important role in non-stationary spatial covariance structure estimation and in analyzing the spatiotemporal processes underlying environmental studies. A combined cluster-MDS model, including geographical spatial constraints, has been previously proposed by the authors to address the estimation problem in oversampled domains in a least squares framework. In this paper is formulated a general latent class model with spatial constraints that, in a maximum likelihood framework, allows to partition the sample stations into classes and simultaneously to represent the cluster centers in a low-dimensional space, while the stations and clusters retain their spatial relationships. A model selection strategy is proposed to determine the number of latent classes and the dimensionality of the problem. Real and artificial data sets are analyzed to test the performance of the model.     

Estimating the 4DVAR analysis error of GODAE products

We explore the ocean circulation estimates obtained by assimilating observational products made available by the Global Ocean Data Assimilation Experiment (GODAE) and other sources in an incremental, four-dimensional variational data assimilation system for the Intra-Americas Sea. Estimates of the analysis error (formally, the inverse Hessian matrix) are computed during the assimilation procedure. Comparing the impact of differing sea surface height and sea surface temperature products on both the final analysis error and difference between the model state estimates, we find that assimilating GODAE and non-GODAE products yields differences between the model and observations that are comparable to the differences between the observation products themselves. While the resulting analysis error estimates depend on the configuration of the assimilation system, the basic spatial structures of the standard deviations of the ocean circulation estimates are fairly robust and reveal that the assimilation procedure is capable of reducing the circulation uncertainty when only surface data are assimilated.     

EXPERIMENTS WITH SHORT-TERM CLIMATE PREDICTION MODELS ON SSTA OVER THE NINO OCEANIC REGION

Predictions of averaged SST monthly anomalous series for Nino 1-4 regions in the context of auto-adaptive filter are made using a model combining the singular spectrum analysis (SSA) and auto-regression (AR). The results have shown that the scheme is efticient in forward forecaning of the strong ENSO event in 1997-1998, it is of high reliability in retrospective forecasting of three corresponding historical strong ENSO events. It is seen that the scheme has stable skill and large accuracy for experiments of both independent samples and real cases.With modifications, the SSA-AR scheme is expected to become an efficient model in routine predictions of ENSO.     

甘肃省森林、草原火灾的成因分析

简要介绍了利用NOAA极轨气象卫星资料监测森林 ,草原火灾的原理 ,结合实际工作经验 ,阐明了引起甘肃省森林、草原火灾的成因、林牧区的地理分布及特点     

喀斯特流域枯水径流频率分析——以贵州省河流为例

以贵州省各水文站控制断面为例,选择了18 个流域进行枯水频率分析。在综述国内外枯水频率研究的基础上,选择了对数正态分布、P-Ⅲ型分布、对数P-Ⅲ型分布及耿贝尔曲线四种理论分布的线型,来分析在喀斯特流域进行枯水径流频率计算时所适用的理论频率曲线,以及不同的地貌类型对所选择的曲线线型是否产生影响。研究表明,地貌类型对枯水频率曲线的线型影响不大,采用对数正态分布计算,其所造成的误差最小,其它三种方法误差则较大。      

江苏防震减灾网客户端访问统计分析

对2005年改版后的江苏防震减灾网站访问流量进行多方位的统计,并通过统计数据对地震专业网站浏览者的情况做全面的分析,从而为地震专业网站今后的开发平台和发展方向提供有效的依据。