Verification of the dualism ordering method by the canonical correspondence analysis: fish community samples

Two ordination techniques (Romaniszyn diagram, RD, and Canonical correspondence analysis, CCA) were applied to the same data set (fish assemblage composition along two Paraná river tributaries and associated environmental variables), to identify spatial community patterns and further to evaluate the performance of RD. The major patterns in these Brazilian streams were successfully revealed by both methods (i.e. clear separation of both tributaries on the basis of fish assemblage composition and environmental factors), but more complex situations may limit the application of RD in comparison with CCA.     

SVD方法在气象场诊断分析中的普适性

本文首次从理论上推导证明两个气象场的奇异值分解（ＳＶＤ）在气象场时空分布耦合信号的诊断分析中具有普适性。结果表明，两个场的ＳＶＤ求解准则不同于典型相关分析（ＣＣＡ），且ＣＣＡ模型可视为ＳＶＤ之特例，尤其当各个场经ＰＣＡ滤波后，其ＣＣＡ完全与ＳＶＤ等价。ＳＶＤ分析的结果不但可完全代替ＣＣＡ，且计算更简便，所得耦合信号的物理解释更清晰，特别适合于大尺度气象场的遥相关型研究。     

用附有条件的参数平差法求解秩亏网新探

通过引进典则参数,以较简捷的方式证明了秩亏网平差应满足的条件方程,从而用附有条件的平差方法求解秩亏网平差参数的最小二乘极小范数解。     

浅探兰州市城区大气环境污染与治理的若干问题

介绍了兰州市城区大气污染的物理机制和客观成因,总结了目前正在采用或论证的一些治理措施和方法,并对这些进行了分析与讨论,提出了今后应重点研究的几个问题,最后对兰州市城区大气污染的治理提出了一些初步看法与建议。     

DEPENDENCE BETWEEN FUSION TEMPERATURES AND CHEMICAL COMPONENTS OF A CERTAIN TYPE OF COAL USING CLASSICAL,NON-PARAMETRIC AND BOOTSTRAP TECHNIQUES

A statistical study of the dependence between various critical fusion temperatures of a certain kind ofcoal and its chemical components is carried out.As well as using classical dependence techniques(multiple,stepwise and PLS regression,principal components,canonical correlation,etc.)together withthe corresponding inference on the parameters of interest,non-parametric regression and bootstrapinference are also performed.     

Multivariate canonical correlation techniques: An economic approach for evaluation of pollutants in soil and sediments of Bombay region, India

Multivariate canonical correlation analysis has been carried out taking physical variables (mean, standard deviation, skewness, kurtosis) as predictors and chemical variables (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, and Zn) as responses from the soils and sediments of Thane Creek and Ulhas River areas in Bombay, India. Soil samples provide the first canonical correlation to the presence of more clay fractions, which controls the concentration of trace elements such as Co, Fe, and Ni. In sediment samples, the first canonical correlation explains the role of mean particle size in controlling the concentration of Pb and Ni. The second correlation shows the role of clay minerals in controlling the concentration of the trace elements such as Fe and Zn. The plot of transformed scores of first canonical correlation for soil illustrate the high correlation between sets of variables as all points are grouped closely within an ellipsoidal field. The plot of transformed scores of first canonical correlation illustrate that there is a clear distinction between the type of sediments collected from Thane creek and the Ulhas river region.     

外来入侵植物分布格局及与环境和人为因子的关系——以五个自然保护区为例(英文)

以5个保护区为例来探究外来入侵植物与环境及人为因子间的关系。利用CCA分析了环境变量与外来入侵植物丰度的关系,采用了多元回归得出了与外来入侵植物最为相关的环境与人为因子。结果显示,从泰山自然保护区到丰林自然保护区,外来入侵植物分别为25种、12种、13种、5种、5种,沿着包括纬度、最高温度,最低温度、最高降雨量等环境因子强度的降低而下滑。而同时,外来入侵植物的数量随着人为活动的干扰度增强而增加。从起源上来看,热带成分从31%降至0,而北美起源的植物则逐渐增加。从科的组成上看,五个自然保护区中均有菊科分布,所占比例分别为15%、33%、36%、 40% 和20%,显示了其世界广布的特性,而其他科属入侵植物的分布并不均衡。从生活型上看,一年生或多年生草本植物为主要成分。外来入侵植物的传入途径在很大程度上受人类活动及利用喜好的驱动。     

ECC方法在中国夏季气温预测研究中的应用

以中国夏季气温为预测对象,选取东亚地区冬季500 h Pa高度场、海平面气压场、地表温度场和850 h Pa温度场为预测因子,采用1951~2009年去趋势处理后的资料,通过变形的典型相关分析(Barnett-Preisendorfer Canonical Correlation Analysis,BP-CCA)方法分别建立单因子预测模型,再利用集合典型相关分析(Ensemble Canonical Correlation,ECC)方法建立集合预测模型,对中国夏季气温进行基于交叉检验方法的预测试验,然后利用2010~2014年的资料对中国夏季气温进行独立样本检验。通过分析BP-CCA模态可知,一对BP-CCA模态的空间型在一定程度上可以反映预报因子场和对象场的遥相关特征。通过基于交叉检验方法的预测试验表明环流场和热力场均能为气温提供预测信息。ECC预测模型综合了各个预报因子的在不同地区的预报技巧,比单因子BP-CCA预测模型有更高、更稳定的预报技巧。独立样本检验表明ECC模型与单因子BP-CCA预测模型相比,对中国夏季气温有更高、更稳定的实际预测能力,对气温季节预测具有参考价值。     

Development of a diatom-based specific conductivity model for the glacio-isostatic lakes of Truelove Lowland: implications for paleoconductivity and paleoenvironmental reconstructions in Devon Island lakes, N.W.T., Canada

Diatoms are identified and enumerated from the surface sediments of 100 lakes of Truelove Lowland, Devon Island, N.W.T., Canada. These lakes range from large oligotrophic lakes, to small tundra ponds, to coastal marine lagoons which are diverse in terms of ionic concentration and composition. The relationship between diatoms and 15 limnological variables is examined using Canonical Correspondence Analysis (CCA). Specific conductivity is identified as the most important variable influencing the distribution of diatoms in the Truelove lakes. A Weighted Averaging (WA) calibration model is developed to predict diatom-inferred specific conductivity. The reliability of the model is tested by evaluating the correlation between observed and diatom-inferred values and determining the error of prediction by bootstrapping. The applicability of the predictive conductivity equation is demonstrated by reconstructing the paleoconductivity history of Fish Lake.     

Does a one point sample adequately characterize the lake environment for paleoenvironmental calibration studies?

A major goal of paleolimnological studies is the quantification of past environmental conditions. This is accomplished by computing transfer functions relating organism assemblages to environmental factors. The environmental data are typically comprised of a point sample of water chemistry and other environmental parameters that are collected at the same time as a surface sediment sample. We explore whether the year of sampling of the environmental variables affects the parameterization of organism-environment relations, in particular chironomids, ostracodes and diatoms. Canonical correspondence analyses revealed that the year of sampling is of secondary importance when relating the organism assemblages to environmental variables, but only with the major explanatory variables. A chironomid-inferred bottom water temperature partial least squares transfer function revealed similar performance statistics between the years. Taxon optima and tolerances were computed for both years using weighted averaging, and the results are comparable. A paired t-test computed on the proxy-inferred bottom water temperature values indicated that the results between the 2 years are not statistically different. The results of this study provide guarded optimism that the methodology of estimating transfer functions as currently applied is not entirely determined by the particular year when the data were collected, although more case studies are needed.