4.7 Article

THMs precursor removal by an integrated process of ozonation and biological granular activated carbon for typical Northern China water

期刊

SEPARATION AND PURIFICATION TECHNOLOGY
卷 72, 期 3, 页码 263-268

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.seppur.2010.02.015

关键词

Granular activated carbon (GAC); Natural organic matter (NOM); Resin adsorption; Trihalomethanes formation potential (THMFP); Ultrafiltration

资金

  1. CNSF [50808001]
  2. National Key Technology R&D Program of China [2006BAD01B03, 2006BAD01B09]
  3. China Postdoctoral Science Foundation

向作者/读者索取更多资源

The removal of trihalomethanes (THMs) precursor and natural organic matter (NOM) by an integrated process of ozonation and biological granular activated carbon filtration (BGAC) as a deep water treatment process was investigated in pilot-scale tests. A comparison is also made with granular activated carbon filtration (GAC). The characteristics of the THMs precursor and the THMs formation potential (THMFP) were investigated by resin adsorption and ultrafiltration. The results show that the integrated process of ozonation and BGAC (O(3)/BGAC) is obviously superior to GAC for the removal of the THMs precursor because a considerable synergetic effect occurs between the ozonation and the BGAC. Although ozonation can limitedly remove dissolved organic carbon (DOC), it can cut down the molecular weight of the NOM, change its polarity, decrease the THMFP, and obviously enhance the efficiency of the BGAC. The BGAC could efficiently remove the hydrophobic base (HoB), hydrophobic neutral (HoN), weakly hydrophobic acid (WHOA), and low molecular weight fraction DOC that was produced in the optimized ozonation process. However, the BGAC stage should be carefully controlled to avoid the leakage of microbes and/or the products of metabolism because it has a high risk for producing THMs in following chlorination process. (C) 2010 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据