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基于熵权物元模型的污水处理厂运行效果综合评价与分析

Comprehensive Evaluation and Analysis on the Operation of Wastewater Treatment Plant Based on Matter-element Model Combined With Entropy Weight

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【作者】 郝瑞霞刘峰吕鉴王建超

【Author】 HAO Rui-xia1,LIU Feng1,2,L Jian1,WANG Jian-chao1(1.The Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering,Beijing University of Technology,Beijing 100124,China; 2.China Petroleum Pipeline Engineering Corporation,Langfang 065000,Hebei,China)

【机构】 北京工业大学建筑工程学院北京市水质科学与水环境恢复工程重点实验室中国石油天然气管道工程有限公司

【摘要】 采用基于熵权指数的模糊物元模型方法,对华北某市8座污水处理厂的工艺运行效果及其影响因素进行了综合评价和分析,为污水处理厂的建设和运行管理提供技术指导.该方法能基于污水处理厂的实际运行参数,通过客观运算确定各项评价指标的权重值,避免主观干扰和经验限制,评价结果能客观真实地反映污水处理厂的实际运行状况.结果表明:A/A/O工艺在脱氮除磷方面优势明显,采用该工艺的污水处理厂运行效果普遍较好;TN去除率和泥饼量是影响污水厂运行效果的重要因素,也是提高污水处理厂运行管理水平的主要途径.

【Abstract】 In order to supervise the programming construction and the operating management of a municipal wastewater treatment plant(WWTP),the fuzzy matter-element model based on entropy weight of an index was used as the evaluation method to achieve the comprehensive evaluation and analysis on operation effect and its influencing factors of 8 WWTPs located in a city of North China.The primary characteristic of the method was that the weight value of an evaluation index could be objectively assigned and calculated based on actual operational data of a WWTP,avoiding subjective interferences and the experience restriction of a researcher.The evaluation result could reflect operation circumstances of a WWTP practically and objectively.The results showed that the operation effect of WWTP with A/A/O process was generally good,especially the removal efficiencies of nitrogen and phosphorus were better than other processes.TN removal rate and the productive quantity of the excess sludge cake were identified as important factors influenced the operation effect.So the operation level of WWTP could be approached mainly by increasing the TN removal rate and decreasing the excess sludge cake quantity.

【基金】 国家科技重大专项资助项目(2009ZX07104-006);国家自然科学基金资助项目(51178005)
  • 【文献出处】 北京工业大学学报 ,Journal of Beijing University of Technology , 编辑部邮箱 ,2013年03期
  • 【分类号】X703.1
  • 【被引频次】17
  • 【下载频次】309
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