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光催化氧化有机物所需光强的数学模型和估计方法 被引量:2

The Mathematical Model and Estimated Method for Predicting Light Intensity on Photocatalysis
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摘要 基于羟基自由基为氧化污染物的主要物种,提出了针对不同污染物浓度、去除效率以及空气流量或者所要求的反应速率来确定光催化降解室内挥发性有机污染物所需光强的数学模型,在此基础上给出了简单可靠的光强估计方法.对浓度为24.54~490.8μmol/m3的甲醛降解所需的光强进行了计算,并与实验进行了对比分析.结果表明,基于所提出模型的光强估计方法简单可靠.这使光强的选择有了依据,对光催化系统的设计具有一定的指导意义. A mathematic model for predicting light intensity was presented accoramg to the volatile organic compound initial concentration, removal efficiency and airflow rate or the required reaction rate in the light of hydroxyl radicals being the primary reactants in the degradation of volatile organic compounds. Based on it, a simple estimated method for predicting light intensity was presented. Values of light intensity were calculated for the degradation of formaldehyde from 24.54 to 490.8μmol/m^3 and compared to the experiments. It is proved that the method is effective for predicting light intensity and the model has instructive significance on photocatalysis.
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2005年第11期1895-1898,共4页 Journal of Shanghai Jiaotong University
关键词 光催化氧化 光强 数学模型 估计方法 甲醛降解 photocatalytic oxidation light intensity mathematical model estimated method degradation of formaldehyde
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参考文献15

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