Empirical Bayes calculations of concordance between endpoints in environmental toxicity experiments

Hierarchical models are considered for estimating the probability of agreement between two outcomes or endpoints from an environmental toxicity experiment. Emphasis is placed on generalized regression models, under which the prior mean is related to a linear combination of explanatory variables via a monotone function. This function defines the scale over which the systematic effects are modelled as additive. Specific illustration is provided for the logistic link function. The hierarchical model employs a conjugate beta prior that leads to parametric empirical Bayes estimators of the individual agreement parameters. An example from environmental carcinogenesis illustrates the methods, with motivation derived from estimation of the concordance between two species carcinogenicity outcomes. Based on a large database of carcinogenicity studies, the inter-species concordance is seen to be reasonably informative, i.e. in the range 67–84%. Stratification into pertinent potency-related sub-groups via the logistic model is seen to improve concordance estimation: for environmental stimuli at the extremes of the potency spectrum, concordance can reach well above 90%.     

Geochemistry of soil around a fluoride contaminated area in Nayagarh District,Orissa, India: Factor analytical appraisal

Fluoride contamination in soil was studied in the vicinity of a hot spring in Nayagarh district of Orissa. Both bulk soil from 0 to 30 cm depth and profile soils from 0 to 90 cm depth were analyzed for total fluoride (F_t) and 0.01 M CaCl₂ extractable fluoride (F_ca), major elements, pH, EC and Organic Carbon (OC). High concentrations of both F_t and F_ca were observed in the area surrounding the hot spring and the village of Singhpur. Principal factor analysis (PFA) on the parameters of the bulk soils suggests that two major chemical processes due to three factors, control the soil geochemistry of the area. Factor-1 contributes 37.11% of the total variance and is strongly loaded with Al, Si, Fe, F_tand F_ca, and explains the fluoride enrichment of the soil, whereas the second and the third factors contribute 16.6 and 12.2%, respectively and explain the controlling process of carbonate precipitation and soil alkalinity. Multiple regression analysis of the scores of the factors was performed to derive a fluoride contamination index in soil. The magnitude of the factor effect on the contamination index follows the order of Factor-1 > Factor-2 > Factor-3. The spatial distribution of the contamination index is used to classify the area into highly contaminated, moderately contaminated and uncontaminated zones.     

Streptomyces sp. WJS-825产谷氨酰胺转胺酶发酵条件优化及中试

应用五因子二次正交旋转回归试验设计,建立了微生物谷氨酰胺转胺酶 (TG)发酵生产过程中以酶活力和菌体细胞生长量作为目标函数的数学模型,并以此模型对链霉菌 (Streptomycessp. )WJS-825菌株发酵生产TG的培养条件进行优化,确定了影响TG生产的主要因子及其最适取值为多价胨 2. 1%、可溶性淀粉 1. 5%、初始pH 7. 0及培养温度 30℃.以该优化工艺条件进行了 5L发酵罐小试和 200L发酵规模的中试生产.结果表明,在中试发酵生产中使用以豆饼粉部分替代多价胨的经济性发酵优化培养基,以及发酵过程中在线监控pH、溶氧系数等多项发酵调控参数,并分段控制pH、温度、通气量和搅拌转速以及进行适时的流加补充碳源,该菌株生长繁殖能力强、产酶效果好,TG活性达 3. 2u/mL,而且连续重复的中试发酵生产试验的TG产量均稳定在 3. 2u/mL以上. 图 2表 3参 15     

Statistics: an essential technology in environmental research and management

Statistical methods as developed and used in decision making and scientific research are of recent origin. The logical foundations of statistics are still under discussion and some care is needed in applying the existing methodology and interpreting results. Some pitfalls in statistical data analysis are discussed and the importance of cross examination of data (or exploratory data analysis) before using specific statistical techniques are emphasized. Comments are made on the treatment of outliers, choice of stochastic models, use of multivariate techniques and the choice of software (expert systems) in statistical analysis. The need for developing new methodology with particular relevance to environmental research and policy is stressed.Dr Rao is Eberly Professor of Statistics and Director of the Penn State Center for Multivariate Analysis. He has received PhD and ScD degrees from Cambridge University, and has been awarded numerous honorary doctorates from universities around the world. He is a Fellow of Royal Society, UK; Fellow of Indian National Science Academy; Foreign Honorary Member of American Academy of Arts and Science; Life Fellow of King's College, Cambridge; and Founder Fellow of the Third World Academy of Sciences. He is Honorary Fellow and President of International Statistical Institute, Biometric Society and elected Fellow of the Institute of Mathematical Statistics. He has made outstanding contributions to virtually all important topics of theoretical and applied statistics, and many results bear his name. He has been Editor of Sankhya and theJournal of Multivariate Analysis, and serves on international advisory boards of several professional journals, includingEnvironmetrics and theJournal of Environmental Statistics. This paper is based on the keynote address to the Seventh Annual Conference on Statistics of the United States Environmental Protection Agency.     

土壤环境背景值图件的绘制方法

土壤环境背景值图件是一种综合信息载体。本文通过对环境背景值影响因素的综合分析、主要影响因素聚类分析、聚类一判别分级等步骤,选择和确定了制图单元。按多元统计单元进行编图,其表达更为清晰、科学、准确。     

Mechanism studies on nitrogen removal when treating ammonium-rich leachate by sequencing batch biofilm reactor

The nitrogen removal mechanism was studied and analyzed when treating the ammonium-rich landfill leachate by a set of sequencing batch biofilm reactors (SBBRs), which was designed independently. At the liquid temperature of (32 ± 0.4)°C, and after a 58-days domestication period and a 33-days stabilization period, the efficiency of ammonium removal in the SBBR went up to 95%. Highly frequent intermittent aeration suppressed the activity of nitratebacteria, and also eliminated the influence on the activity of anaerobic ammonium oxidation (ANAMMOX) bacteria and nitritebacteria. This influence was caused by the accumulation of nitrous acid and the undulation of pH. During the aeration stage, the concentration of dissolved oxygen was controlled at 1.2–1.4 mg/L. The nitritebacteria became dominant and nitrite accumulated gradually. During the anoxic stage, along with the concentration debasement of the dissolved oxygen, ANAMMOX bacteria became dominant; then, the nitrite that was accumulated in the aeration stage was wiped off with ammonium simultaneously. Translated from Acta Scientiae Circumstantiae, 2006, 26(1): 55–60 [译自: 环境科学学报]     

海洋岛与王家岛周围海域赤潮生物夜光藻生态初探

对王家岛与石城岛周围海域浮游生物和理化因子的调查资料进行分析，结果表明，夜光藻的生物量以夏季两岛的南部及中部为最高，影响夜光藻繁殖的各环境因子中以浮游植物、可溶性无机磷、总氮、溶氧的共同作用最为显著，Ｙ＝ － ２５７－０ ＸＤＯ＋ ７２－０ ＸＮ－ １３３６－３ ＸＰ＋ １－８０ ＸＦ－ ２２５０ 。Ｒ＝ ０－７１３ ，Ｆ＝３－１０，统计检验，相关显著，回归有意义。     

浅谈一元线性回归在清洁生产审核中的应用

回归分析法是分析相关因素相互关系的一种数理统计方法,这种方法通常应用在预测分析中,如在市场预测时的产品需求预测,而这种方法亦可用于企业清洁生产审核,通过建立一元回归方程,从而表明消耗-生产之间的关系,并更深入地对绩效进行简单的分析,本文就一元线性回归在企业清洁生产审核中的应用进行了简要论述.