| 多氯联苯湿地生物降解规律预测及污染风险分析 |
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| 引用本文： | 刘凌,陆桂华.多氯联苯湿地生物降解规律预测及污染风险分析[J].水科学进展,2003,14(1):79-84. |
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| 作者姓名： | 刘凌 陆桂华 |
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| 作者单位： | 河海大学水资源开发利用国家专业实验室, 江苏南京, 210024 |
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| 基金项目： | 国家自然科学基金资助项目(59909003)，教育部优秀年轻教师基金资助项目 |
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| 摘 要： | 建立了一个数学模型来预测多氯联苯湿地生物降解过程。该模型全面考虑了多氯联苯湿地生物降解的各子过程,包括:吸附/解吸、土壤屏蔽、扩散和生物降解,利用模型,预测了多氯联苯湿地生物降解的规律性及处理时间、处理终点;利用Monte-Carlo法,进行了多氯联苯湿地生物降解污染风险分析,结果表明,在采用基地现有处理方式的情况下,经过8年处理,土壤中4-Cl-PCBs不低于69.4%被降解的可能性为75%,此时土壤中能够继续污染外部环境的4-Cl-PCBs部分不超过10.9%的可能性为75%;土壤中4-Cl-PCBs全部生物降解完毕所需处理时间不超过16.20年的可能性为75%,最后被土壤不可逆屏蔽的残余物不超过20.9%的可能性为75%。
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| 关 键 词： | 多氯联苯 人工湿地 生物降解 污染风险分析 |
| 文章编号： | 1001-6791(2003)01-079-06 |
| 收稿时间： | 2002-09-12 |
| 修稿时间： | 2002年9月12日 |
PCB biodegradation in constructed wetland and contamination risk analysis |
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| LIU Ling,LU Gui-hua.PCB biodegradation in constructed wetland and contamination risk analysis[J].Advances in Water Science,2003,14(1):79-84. |
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| Authors: | LIU Ling LU Gui-hua |
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| Affiliation: | Water Resources Development and Utilization Laboratory, Hohai University, Nanjing 210098, China |
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| Abstract: | PCB biodegradation in constructed wetland could be described quantitatively with a mathematical model,which was established considering the sorption/desorption,sequestration,diffusion and biodegradation processes.The rmdel simulations were performed in this paper to predict the PCBs' degradation behavior,the necessary treatment time and the end point.Using the Monte-Carlo simulation techniques,the contamination risk analysis for PCB biodegradation in constructed wetland was conducted.It is noteworthy that,after 8 years' biodegradation,no less than 69.4% 4-Cl-PCBs in soil would have been degraded wrath 75% probability and no greater than 10.9% 4-Cl-PCBs in soil would continue to contaminate bulk water wrath 75% probability.The necessary treatment time for 4-Cl-PCBs to reach the end point in soil is no greater than 16.20 years wrath 75% probability,and the sequestration part in soil is no greater than 20.9% with 75% poobaility. |
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| Keywords: | Polychlorinated biphenyls constructed wetland biodegradation contamination risk analysis |
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