土壤石油生物降解影响因子正交实验分析

石油污染物进入土壤之后，多种因素同时制约着污染物的生物降解，为了定量化各因素对彼此的影响，探求促进正向作用，抑制负向作用的途径，为各因素制定适宜的施用时间顺序以及施用量，以最大限度地加快降解速度，笔者设计了本文中的复合生物降解实验，结果表明，使用多因素复合处理方法可以在土壤石油处理中收到很好的效果，在土壤石油含量为64g/kg水平下，三周内的降解率可以高达48％，在实验初期，表面活性剂和氧化剂的投加是影响降解速率的重要因素，它们的最优水平均为各受试水平中的最大值，到了实验的中后期，污染强度上升为降解的首要影响因子，并且在受试样品范围内，污染度越大降解率越高。     

黑龙江省主要气象灾害对粮食产量的影响及减灾对策

本文用1965～1992年粮食产量和气象资料,采用组合因子处理气象资料方法,定量分析了黑龙江省主要气象灾害对粮食产量的影响,并提出了相应减灾对策。     

Environmental policies and productivity growth: Evidence across industries and firms

This paper investigates the impact of changes in environmental policy stringency on industry- and firm-level productivity growth in a panel of OECD countries. To test the strong version of the Porter Hypothesis (PH), we extend a neo-Schumpeterian productivity model to allow for effects of environmental policies. We use a new environmental policy stringency (EPS) index and let the effect of countries׳ environmental policies vary with the pollution intensity of the industry and with the countries’ and firms’ technological advancement. A tightening of environmental policy is associated with a short-term increase in industry-level productivity growth in the most technologically-advanced countries. This effect diminishes with the distance to the global productivity frontier, eventually becoming insignificant. For the average firm, no evidence of PH is found. However, the most productive firms see a temporary boost in productivity growth, while the less productive ones experience a productivity slowdown.     

大连市空气污染预测预报统计方法的研究

通过分析大连市的大气污染因子与气象因子的关系 ,利用统计学中多元回归的方法 ,建立了大连空气污染预测预报方程。