固定床生物活性炭吸附天然有机物及其模型化研究

以日本长良川原水为研究对象,提高水处理出水水质为目标,研究了生物活性炭(BAC)小柱对原水中天然有机物(NOM)的去除效果。比较了不同NOM进水浓度时BAC小柱对其的去除率,研究了小柱层内及出水中NOM的相对分子量分布随着通水时间增加的变化情况,并利用结合了理想吸附溶液理论(IAST)的平推流表面扩散模型对出水中NOM的浓度进行模拟。结果表明,BAC小柱对不同浓度原水中NOM的去除率均高于相同试验条件下的粒状活性炭(GAC)小柱;BAC小柱对相对分子量分布为1000~5200g/mol内各分子量区间的有机物均可去除;平推流表面扩散模型对试验数据拟合结果较好。

Adsorption Behavior and Modeling Study on Natural Organic Matter by Using Biological Activated Carbon Biological Activated Carbon Adsorbers

In order to improve the water quality, adsorption behavior of natural organic matter(NOM) in fixed bed biological activated carbon(BAC) column was examined by supplying the study object Nagara River water continuously. Effect of NOM influent concentration on the removal was studied; NOM molecular weight distribution in the effluent and along the packed bed depth of the columns were obtained at different running time; a muti-component approach proposed by incorporating the ideal adsorbed solution theory(IAST) and a plug flow surface diffusion model were applied to simulate the breakthrough data of NOM. Results show that the removal of NOM by BAC column is always higher than that by granular activated carbon(GAC) column under the same condition; organic constituents(1 000-5 200 g/mol) are adsorbed by BAC column in a relatively even manner; the prediction results of the model were well verified.