Research Optimal Model for Sorption on Sediments of Atrazine under the Influence of a Variety of Environmental Conditions
|Keywords||model optimization copper atrazine composite contamination surficial sediments|
In order to fully reveal the pesticide atrazine in natural water migration into thebehavior, this article relying on self-designed simulation natural water environment undera variety of environmental conditions, whether the introduction of heavy metals copperadsorption desorption system experimental device experiments atrazine adsorption datain sediments. Use a fixed effects model from the mathematical quantitative point of viewto estimate the main effects of various environmental factors and higher-order interactioneffects of atrazine adsorbed on sediment contribution. Combined with multiple linearregression model, and the best subset regression modeling method. Screening andsediments separate adsorption the atrazine model and the heavy metals copper introducedsediment atrazine adsorption model. Model to target contaminants atrazine as thedependent variable, factor in four different environmental conditions as the independentvariable, on this basis, to study the environmental conditions factor main effect ofhigher-order interactions of atrazine in sediment adsorption. After atrazine adsorption tosediments model as the objective function, parameter variation range of factors to fourenvironmental conditions as constraints to optimize the use of relevant software, toobtain the maximum adsorption amount of atrazine in sediments and minimumenvironmental conditions of the program, the program of the migration andtransformation of atrazine in the water with a certain sense.Multiple linear regression model and best subset regression model are used to studythe law of sediment adsorption of atrazine alone, the study found:Which have the significant synergy in atrazine Separate adsorption are aerationintensity, the pH*ionic strength, the aeration intensity*temperature, the temperature*ionic strength, aeration intensity*ionic strength and aeration intensity*temperature*ion intensity (=0.05). Temperature, pH, ionic strength, temperature*pH, aerationintensity*pH and aeration intensity*temperature*pH has significant antagonism inatrazine adsorption. Multiple linear regression model and best subset regression model are used to studythe law of sediment adsorption of atrazine when the heavy metals copper coexist, thestudy found:Which have the significant synergy in atrazine adsorption when the copper coexistare ionic strength, aeration intensity, temperature*ionic strength, pH*ionic strengthand aeration intensity*temperature*pH (=0.05). While the temperature, pH,temperature*pH, aeration intensity*pH on the atrazine adsorption has significantantagonism.Optimize the two models, the study found:Comparison with the experimental data, optimization results in line withexpectations, after the introduction of heavy metals copper, either the maximum orminimum value of the adsorption amount of atrazine in sediments showed a significantdecrease. This result suggests that the heavy metals copper has played a significantantagonism in adsorption of atrazine in sediments.