| 基于分式析因及最佳子集回归的多种污染物复合污染特征——阿特拉津与多种污染物在松花江沉积物上的吸附效应 |
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| 引用本文： | 李鱼,王檬,张琛,高茜.基于分式析因及最佳子集回归的多种污染物复合污染特征——阿特拉津与多种污染物在松花江沉积物上的吸附效应[J].吉林大学学报(地球科学版),2013,43(5):1595-1602. |
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| 作者姓名： | 李鱼 王檬 张琛 高茜 |
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| 作者单位： | 1．华北电力大学区域能源系统优化教育部重点实验室，北京102206;
2．华北电力大学资源与环境研究院，北京102206 |
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| 基金项目： | 国家自然科学基金项目(50879025) |
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| 摘 要： | 为揭示农药（晶体乐果、甲霜灵、阿特拉津、马拉硫磷、扑草净）与重金属（铜、锌、铅、镉、镍）10种污染物共存时的复合污染规律，以阿特拉津为目标污染物，采用分辨度为Ⅲ的210-6分式析因实验设计，并用完全折叠实验和区组设计进行辅助，通过多元线性回归的建模方法筛选并建立了以阿特拉津为因变量、10种污染物因子主效应和二阶交互效应为自变量的多元线性回归吸附模型。研究表明：共存体系中因子主效应项铅、铜、锌、镉、镍和农药晶体乐果显著抑制（显著性水平α=0.05）阿特拉津在沉积物上的吸附，与阿特拉津产生竞争吸附效应，因重金属主效应产生的拮抗作用占总拮抗作用的63.5%，其拮抗作用从大到小为镍、镉、晶体乐果、锌、铅、铜；在以镍为关键自变量的二阶交互效应项中，因二阶交互效应项产生的协同或拮抗作用占阿特拉津吸附能力的35.3%，其中，铅、镉和晶体乐果抑制镍与阿特拉津的竞争吸附，与阿特拉津在沉积物上的吸附发生协同作用，协同作用从大到小为镉×镍、铅×镍、镍×晶体乐果；而镍作为调节自变量的二阶交互效应项镍阿特拉津会促进阿特拉津的吸附，说明多种污染物共存体系中重金属镍对阿特拉津在沉积物上吸附影响作用的复杂性和重要性。
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| 关 键 词： | 复合污染 分式析因设计 多元子集回归 重金属 农药 沉积物 阿特拉津 |
| 收稿时间： | 2012-12-09 |
Composite Contamination Effects About Atrazine with a Variety of Pollutants Based on Fractional Factorial Design and Best Subset Regression |
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| Li Yu;Wang Meng;Zhang Chen;Gao Qian.Composite Contamination Effects About Atrazine with a Variety of Pollutants Based on Fractional Factorial Design and Best Subset Regression[J].Journal of Jilin Unviersity:Earth Science Edition,2013,43(5):1595-1602. |
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| Authors: | Li Yu;Wang Meng;Zhang Chen;Gao Qian |
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| Institution: | 1.MOE Key Laboratory of Regional Energy Systems Optimization, North China Electric Power University, Beijing102206, China;
2.Resources and Environmental Research Academy, North China Electric Power University, Beijing102206, China |
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| Abstract: | In order to reveal the composite contaminations characteristic of atrazine adsorption onto the surficial sediments in pesticide （dimethoate, metalaxyl, atrazine, malathion and prometryn）/heavy metals （copper, zinc, lead, cadmium and nickel） composite contamination system, a completely foldover design and confounding design assisted resolution Ⅲ of 210-6 fractional factorial design method and a best subset regression modeling method are used to identify the main effects and interactions of these ten pollution factors, while screening and establishing a atrazine multiple linear regression adsorption model （AT-MRAM） which includes atrazine as the dependent variable and the main effects factors and second-order interaction effects of ten pollutions were statistically significant （α=0.05） as independent variables. The study found that the main effects of lead, copper, zinc, cadmium, nickel and pesticide crystal rogor have significant effect （α=0.05） to inhibit the adsorption of atrazine on the sediment, named atrazine competitive adsorption effects, and its antagonism: Ni>Cd> crystal rogor>Zn>Pb>Cu, and antagonism account generated by heavy metals in the main effect is 63.51% of the total antagonism. Synergistic or antagonistic effects of the second-order interaction effects in nickel as the key independent variable are accounted for 35.3% of the atrazine adsorption capacity. Among them, lead, cadmium and crystal rogor inhibit the competitive adsorption of nickel and atrazine, with the adsorption of atrazine on the sediment, synergy: Cd Nickel Lead Nickel>Nickel crystal dimethoate, while the second-order interaction effect nickel atrazine with nickel as the adjustment variable has the same effect with the nickel main factor about atrazine adsorption, these imply that the complexity and importance of the role of nickel in a variety of pollutants coexisting system on atrazine adsorption in the sediment. Moreover, according to the coefficient of variation of the atrazine multiple linear regression adsorption model, we also can estimate the compound pollution levels about the target pollutant on these main effects and second-order interaction effects of pollutant factors. |
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| Keywords: | composite contamination fractional factorial design best subset regression heavy metals pesticide sediments atrazine |
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