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感潮珠江原水臭氧氧化副产物BrO3-预测模型的建立

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胡冰, 吴纯德, 张之琳, 胡彩霞, 梁佳莉, 梁国建, 刘吕刚. 感潮珠江原水臭氧氧化副产物BrO3-预测模型的建立[J]. 环境化学, 2013, 32(7): 1263-1267. doi: 10.7524/j.issn.0254-6108.2013.07.020
引用本文: 胡冰, 吴纯德, 张之琳, 胡彩霞, 梁佳莉, 梁国建, 刘吕刚. 感潮珠江原水臭氧氧化副产物BrO3-预测模型的建立[J]. 环境化学, 2013, 32(7): 1263-1267. doi: 10.7524/j.issn.0254-6108.2013.07.020
shu
HU Bing, WU Chunde, ZHANG Zhilin, HU Caixia, LIANG Jiali, LIANG Guojian, LIU Lyugang. Modeling of bromate formation during ozonation process of surface water in the Pearl River Basin affected by seawater intrusion[J]. Environmental Chemistry, 2013, 32(7): 1263-1267. doi: 10.7524/j.issn.0254-6108.2013.07.020
Citation: HU Bing, WU Chunde, ZHANG Zhilin, HU Caixia, LIANG Jiali, LIANG Guojian, LIU Lyugang. Modeling of bromate formation during ozonation process of surface water in the Pearl River Basin affected by seawater intrusion[J]. Environmental Chemistry, 2013, 32(7): 1263-1267. doi: 10.7524/j.issn.0254-6108.2013.07.020
shu

感潮珠江原水臭氧氧化副产物BrO3-预测模型的建立

  • 1.

    华南理工大学环境与能源学院, 广州, 510006

  • 基金项目:

    国家水体污染控制与治理重大专项资助(2009ZX07423-003)

    国家自然科学基金项目( 51078148 ) 资助.

Modeling of bromate formation during ozonation process of surface water in the Pearl River Basin affected by seawater intrusion

  • 1.

    College of Environmental Science and Engineering, South China University of Technology, Guangzhou, 510006, China

  • Fund Project:

  • 摘要: 以珠江流域西江中山段的感潮原水为对象,模拟其臭氧预处理、常规处理和臭氧活性炭处理,考察原水预、主臭氧对应投加量时溴酸盐生成情况,构建了预、主臭氧溴酸盐生成经验预测模型.结果表明,在预臭氧过程中,高的DOC、O3及Br-浓度,会增加溴酸盐的生成量,升高pH,提高NH3-N及IC有利于抑制溴酸盐的形成;在主臭氧过程中,升高pH,提高O3及Br-浓度,会增加溴酸盐的生成量,而高的DOC、NH3-N及IC会降低溴酸盐的形成风险.所建模型预测实际水样,发现预、主臭氧预测模型预测误差分别为33.72%和13.22%.
    Abstract: In this study, by selecting the raw water of Xijiang Zhongshan section of the Pearl River Basin affected by seawater intrusion and simulating the processes of preozonation, general treatment, postozonation and GAC, the bromate formation of different ozone dosages and modeling of bromate formation during preozonation and later ozonation process was studied. The results show that during preozonation process, high concentrations of DOC, O3 and Br- in raw water, lead to more generation of bromate, while pH,NH3-N and IC can suppress bromate formation under cetain conditions. During postozonation process, bromate concentration increases increases of pH value, ozone and bromine concentration, but high concentrations of DOC, NH3-N and IC reduce the risk of the bromate formation. For predicting water samples, the forecast errors of the formation modelings during preozonation process and later qzonation process are 33.72% and 13.22%, respectively.
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    [3] 赵玉丽, 李杏放. 饮用水消毒副产物: 化学特性与毒性[J].环境化学,2011,30(1): 20-33
    [4] Ozekin K,. Modelling bromate formation during ozonation and assessing its control. University of Colorado, USA, 1994
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    [7] Tyrovola K Diamadopoulos E. Bromate formation during ozonation of groundwater in coastal areas in Greece[J]. Desalination, 2005, 176: 201-209
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  • 收稿日期:  2013-02-26
胡冰, 吴纯德, 张之琳, 胡彩霞, 梁佳莉, 梁国建, 刘吕刚. 感潮珠江原水臭氧氧化副产物BrO3-预测模型的建立[J]. 环境化学, 2013, 32(7): 1263-1267. doi: 10.7524/j.issn.0254-6108.2013.07.020
引用本文: 胡冰, 吴纯德, 张之琳, 胡彩霞, 梁佳莉, 梁国建, 刘吕刚. 感潮珠江原水臭氧氧化副产物BrO3-预测模型的建立[J]. 环境化学, 2013, 32(7): 1263-1267. doi: 10.7524/j.issn.0254-6108.2013.07.020
shu
HU Bing, WU Chunde, ZHANG Zhilin, HU Caixia, LIANG Jiali, LIANG Guojian, LIU Lyugang. Modeling of bromate formation during ozonation process of surface water in the Pearl River Basin affected by seawater intrusion[J]. Environmental Chemistry, 2013, 32(7): 1263-1267. doi: 10.7524/j.issn.0254-6108.2013.07.020
Citation: HU Bing, WU Chunde, ZHANG Zhilin, HU Caixia, LIANG Jiali, LIANG Guojian, LIU Lyugang. Modeling of bromate formation during ozonation process of surface water in the Pearl River Basin affected by seawater intrusion[J]. Environmental Chemistry, 2013, 32(7): 1263-1267. doi: 10.7524/j.issn.0254-6108.2013.07.020
shu

感潮珠江原水臭氧氧化副产物BrO3-预测模型的建立

  • 1. 华南理工大学环境与能源学院, 广州, 510006
  • 收稿日期:  2013-02-26
基金项目:

国家水体污染控制与治理重大专项资助(2009ZX07423-003)

国家自然科学基金项目( 51078148 ) 资助.

摘要: 以珠江流域西江中山段的感潮原水为对象,模拟其臭氧预处理、常规处理和臭氧活性炭处理,考察原水预、主臭氧对应投加量时溴酸盐生成情况,构建了预、主臭氧溴酸盐生成经验预测模型.结果表明,在预臭氧过程中,高的DOC、O3及Br-浓度,会增加溴酸盐的生成量,升高pH,提高NH3-N及IC有利于抑制溴酸盐的形成;在主臭氧过程中,升高pH,提高O3及Br-浓度,会增加溴酸盐的生成量,而高的DOC、NH3-N及IC会降低溴酸盐的形成风险.所建模型预测实际水样,发现预、主臭氧预测模型预测误差分别为33.72%和13.22%.

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