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固相反硝化反应器对含盐水体脱氮效率的预测模型 被引量:8

Prediction model for nitrate removal efficiency of saline water in solid-phase denitrification packed-bed reactors.
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摘要 以聚丁二酸丁二醇酯(PBS)颗粒作为反硝化固体碳源和生物膜载体的填料床反应器处理含盐水体的脱氮效果表明,在温度在(29±1)℃的条件下,反应器对含盐水体中NO3--N具有良好的反硝化性能.以NO3--N去除率为响应值,利用响应曲面法考察进水硝酸盐浓度和水力停留时间对脱氮效率的影响.因素分析表明,进水NO3--N和HRT及其交互作用对响应目标值均具显著影响.根据多重回归的系数建立了二次多项式回归方程的预测模型,通过对模型进行方差分析,显示模型的预测值与实测值吻合良好. The PBS(polybutylene succinate) pellets were investigated as the simultaneous solid carbon source and the biofilm carrier for the nitrate removal of the synthetic saline wastewater.Nitrate was removed effectively when the water temperature was(29±1)℃.Based on the theory of response surface methodology(RSM),effects of influent nitrate concentrations and hydraulic retention time were explored with the nitrate removal efficiency as the response value.Influent nitrate concentration,hydraulic retention time and their corresponding relationship had significant impacts on response objective.Base on the value of multiple regressions,the predictive polynomial quadratic equation model was established.Predictions inferred from the model were in good agreement with the experimental data that obtained from actual operation by analysis of variance(ANOVA).
出处 《中国环境科学》 EI CAS CSCD 北大核心 2011年第1期32-37,共6页 China Environmental Science
基金 国家科技支撑计划项目(2006BAD03B06) 上海市重点学科建设项目(S30701)
关键词 固相反硝化 硝酸盐去除 响应曲面法 预测模型 solid-phase denitrification nitrate removal response surface methodology prediction model
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