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城市污水处理厂挥发性芳香烃的气味指纹及定量评价研究
摘要点击 2838  全文点击 1653  投稿时间:2012-11-03  修订日期:2013-01-09
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中文关键词  恶臭污染  电子鼻  挥发性芳香烃  污水处理厂  定量评价
英文关键词  odor pollution  electronic nose  volatile aromatic hydrocarbons(VAH)  sewage treatment plant  quantification assessment
作者单位E-mail
郭薇 暨南大学环境工程系,广州 510632 jerry.guowei@163.com 
王伯光 暨南大学环境工程系,广州 510632
广东省普通高校水土环境毒害性污染物防治与生物修复重点实验室, 广州 510632 
tbongue@jnu.edu.cn 
唐小东 暨南大学环境工程系,广州 510632  
刘舒乐 暨南大学环境工程系,广州 510632  
何洁 暨南大学环境工程系,广州 510632  
张春林 暨南大学环境工程系,广州 510632
广东省普通高校水土环境毒害性污染物防治与生物修复重点实验室, 广州 510632 
 
中文摘要
      采用二次热解析-气相色谱/质谱仪(GC/MS)与电子鼻对广州市某典型城市污水处理厂排放的挥发性恶臭有机物(MVOCs)进行检测与分析,结果表明:1芳香烃是该污水处理厂排放的最普遍、浓度最高的挥发性恶臭有机物质,浓度范围为96.61~818.03μg·m-3,均占各处理单元总MVOCs含量的50%以上,远高于其他MVOCs物种. 2城市污水厂的挥发性芳香烃主要来源于生活污水,而污泥处理过程是污水处理厂释放这些污染物的重要环节,各单元排放的芳香烃化合物总浓度由高至低表现为:污泥脱水机房>污泥浓缩池>曝气池>格栅>生化池>沉砂池. 3主成分分析(PCA)能够区分各单元排放的废气气味特征,识别指数达到71%,而按照各处理单元挥发性芳香烃的组成水平配制的模拟气体,其PCA识别指数高达94%,反映了不同处理单元挥发性芳香烃的气味也有很大不同. 4 将T70/2传感器所测得的实际气体与模拟气体的气味指纹进行比较,实际气体的气味指纹要大于模拟气体,从相关性方面分析得知挥发性芳香烃的气味指纹与各单元的气味指纹均呈现较好的正相关,其中曝气池挥发性芳香烃的气味指纹与实际气体气味指纹相关性尤为显著,达到0.98.
英文摘要
      The malodorous volatile organic compounds (MVOCs) from a typical municipal sewage treatment plant in Guangzhou were detected and analyzed using thermal-desorption/GC-MS and electronic nose, respectively. The results showed that:1Aromatic hydrocarbons were the main malodorous volatile organic compounds of the sewage treatment plant, with concentrations ranging from 96.61 μg·m-3 to 818.03 μg·m-3, accounting for more than 50% of the total MVOCs, much higher than other MVOCs species. 2Volatile aromatic hydrocarbons (VAH) in municipal sewage treatment plant were mainly from domestic wastewater, and the sludge treatment process played an important part in release of these pollutants. The total concentration of aromatic hydrocarbons emitted from each processing unit in a descending order was: the sludge dehydration room>sludge thickener>aeration tank>grille>biochemical pool>grit chamber. 3Principal component analysis (PCA) was able to distinguish the characteristic of odor emission from each processing unit, with the recognition index reaching 71%, and the PCA recognition index of simulated gases which simulated the VAH levels of different processes reached 94%, indicating that there was big difference among the smell of the VAH emitted from different processes. 4 The comparison of the original odor fingerprint and simulated odor fingerprint measured by the sensor T70/2 showed that the original odor fingerprint was greater than the simulated odor fingerprint, and the correlation analysis indicated that the VAH had a great contribution to the odor fingerprint of each unit, and the contribution of VAH odor of the aeration tank to the original odor fingerprint reached 0.98.

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