| 污水处理厂原始数据可靠性评价方法 |
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| 引用本文： | 郝晓地,胡沅胜,王克巍.污水处理厂原始数据可靠性评价方法[J].环境科学学报,2009,29(10):2081-2085. |
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| 作者姓名： | 郝晓地 胡沅胜 王克巍 |
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| 作者单位： | 北京建筑工程学院可持续环境生物技术研发中心,北京,100044 |
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| 基金项目： | 国家高技术研究发展计划（863）项目（No. 2006AA06Z320）；北京市“可持续水与废物循环利用技术”学术创新团队项目（No. BJE10016200611） |
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| 摘 要： | 利用生物营养物去除（BNR）实验室试验系统，建立了物料平衡关系矩阵，并借助于Macrobal软件对原始运行数据进行深入检查和可靠性评估.结果表明，物料平衡检查过程不仅能发现并修正测量中隐藏的大误差，准确地确定污泥龄（SRT）;此外，还能得出COD的氧化量（OCCOD）、硝化量（Qnitr）、反硝化量（Qdeni）及氧的净消耗量（OCnet）等开放平衡数据.其中，准确的污泥龄(SRT)是获得良好模拟预测效果的关键，反硝化量（Qdeni）将为反硝化过程的校正提供可靠依据，氧的净消耗量（OCnet）可用于模型校正的最终检验过程.
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| 关 键 词： | 生物营养物去除（BNR） 数学模拟 数据可靠性 物料平衡 Macrobal软件 |
| 收稿时间： | 2009/2/18 0:00:00 |
| 修稿时间： | 5/4/2009 6:59:45 AM |
Evaluating the reliability of original data from wastewater treatment plants |
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| HAO Xiaodi,HU Yuansheng and WANG Kewei.Evaluating the reliability of original data from wastewater treatment plants[J].Acta Scientiae Circumstantiae,2009,29(10):2081-2085. |
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| Authors: | HAO Xiaodi HU Yuansheng and WANG Kewei |
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| Institution: | The R & D Center for Sustainable Environmental Biotechnology, Beijing University of Civil Engineering and Architecture, Beijing 100044,The R & D Center for Sustainable Environmental Biotechnology, Beijing University of Civil Engineering and Architecture, Beijing 100044 and The R & D Center for Sustainable Environmental Biotechnology, Beijing University of Civil Engineering and Architecture, Beijing 100044 |
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| Abstract: | Based on a lab-scale BNR (biological nutrient removal) experiment,a matrix of mass balances was set up and a set of original operational data was checked for their reliability with the help of the Macrobal software program. The calculation of mass balances could not only check gross errors,but also accurately determine the SRT. Moreover,the fluxes of COD oxidation(OCCOD),nitrification(Qnitr),denitrification(Qdeni)and the net consumption of oxygen (OCnet)could be calculated. An accurately determined SRT is key to making good model predictions; Qdeni can be a reliable reference for calibrating the denitrification process and OCnet can be used for final verification of model calibration. |
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| Keywords: | biological nutrient removal (BNR) mathematical modeling data reliability mass balance Macrobal software |
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