基于饮用水ICR数据库的有机物去除分析及模型建立研究

发布时间：2018-01-13 01:10

本文关键词：基于饮用水ICR数据库的有机物去除分析及模型建立研究　出处：《清华大学》2015年硕士论文　论文类型：学位论文

【摘要】：新的饮用水卫生标准中增加的有机物指标给我国的饮用水处理工艺带了极大挑战。地表水中常含有过量的天然有机物,其不仅会导致水体生物稳定性变差,还会同消毒剂反应生成有害的消毒副产物。因而研究饮用水中有机物的去除对保障饮用水的水质安全具有重要的实用价值和理论意义。本文利用美国ICR数据库,对常规工艺和生物活性炭(BAC)深度处理工艺的水厂不同工艺条件和原水水质参数下有机物的去除情况进行统计分析、模型建立、模型分析,期望对实际水厂工艺运行给出指导性建议。通过对ICR数据库中有机物的去除分析:以中位数计,原水TOC2mg/L的TOC去除率为32.9%,常规工艺的TOC去除率为31.8%,BAC工艺的TOC去除率为39.6%。常规工艺对高TOC、低碱度的原水的有机物去除效果更佳。常规工艺会选择性去除水中的憎水性有机物。Al混凝剂对有机物去除更容易受碱度影响,对于高碱度的原水建议采用Fe混凝剂。O3-BAC和一般BAC工艺的TOC去除率中位数分别42.6%和38.8%,O3-BAC相比于BAC工艺在原水TOC浓度较大时有机物去除优势更高。处理低TOC、高碱度的原水时,BAC工艺对TOC的去除效果优于常规工艺。通过多元回归分析和遗传算法优化的BP网络对常规Fe工艺、常规Al工艺、BAC工艺三种工艺下的TOC去除率进行预测建模,模型的性能分析表明两种模型都能进行较好地预测,其中遗传优化的BP模型更优。在模型建立的基础上,首先通过BP网络得到预测TOC去除率的最优输入参数组合:对常规工艺为TOC、碱度和混凝剂投加量,对BAC工艺为TOC、碱度、温度和混凝剂投加量。其次通过逆向运用最优参数组合和USEPA有机物去除标准,计算出常规工艺下不同TOC和碱度下的采用Fe、Al两种混凝剂的最优单位TOC混凝剂投加量。对比常规工艺下Fe、Al混凝剂,温度和碱度对Al混凝剂影响大于Fe混凝剂。对比常规工艺和BAC工艺,温度对BAC工艺的影响更显著,而碱度和UV254对常规工艺的影响更显著。最后运用多元回归模型定量对比了采用Al混凝剂的不同TOC和碱度下的常规工艺和BAC工艺下的TOC去除率。当原水为低碱度、高TOC或原水SUVA较高的水质,用常规工艺去除水中的有机物较适宜;当原水为高碱度低TOC或SUVA较低的水质,采用BAC工艺可以更好地去除水中的有机物。
[Abstract]:The index of organic matter increased new drinking water health standards to our drinking water treatment process with a great challenge. The surface water often contain natural organic matter in excess, it will not only lead to water biological stability becomes worse, the by-product material will react with disinfectant disinfection harmful. It has important practical value and theoretical the significance of the removal of organic compounds in drinking water to protect drinking water quality and safety. In this paper, using the ICR database, the conventional process and biological activated carbon (BAC) for statistical analysis, removal of organic water depth treatment process in different conditions and the raw water quality parameters of the model, model analysis, expectations the actual waterworks operation gives guidance. Through the analysis of the removal of organic matter in the ICR database: the median TOC2mg/L of raw water, the removal rate of TOC is 32.9%, the conventional process The removal rate of TOC is 31.8%, BAC process, the removal rate of TOC is 39.6%. the conventional process of high TOC, low alkalinity of raw water organic matter removal effect is better. The conventional process will be selective removal of hydrophobic organic coagulant.Al removal is more susceptible to alkalinity effect on organic matter, for raw water with high alkalinity with suggestions Fe coagulant.O3-BAC and general BAC process TOC removal rate of 42.6% and 38.8% respectively. The median, O3-BAC compared to the BAC process in the TOC of raw water at high concentrations of organic matter removal advantage more. Treatment of low TOC, high alkalinity of raw water, BAC process on the removal of TOC is better than the conventional process. Through multiple regression analysis and genetic optimization of BP network on the conventional Fe process, conventional Al process, BAC process of three kinds of process, the removal rate of TOC for predictive modeling, analysis showed that the two models can better predict the performance of the model, including genetic optimization The BP model is better. Based on this model, firstly, through the BP network to get the prediction of optimal input parameter combinations of TOC removal rate of the conventional process is TOC, alkalinity and coagulant dosage, the basicity of BAC process is TOC, temperature and dosage of coagulants. Then by using optimal reverse parameter combination and USEPA organic matter removal standard, calculated by using different Fe TOC and alkalinity under conventional conditions, Al two kinds of coagulant TOC optimal coagulant dosage. Compared with the conventional process under Fe Al, coagulant, temperature and alkalinity of Al coagulant effect than Fe coagulant. Compared with conventional process and the influence of temperature on the BAC process, BAC process is more significant, and the effect of basicity and UV254 on conventional process is more significant. Finally using quantitative multivariate regression models were compared with the conventional process and BAC process in different TOC and alkalinity using Al coagulant under the TOC removal rate. When raw water is low alkalinity and high TOC or raw water SUVA has higher water quality, it is more suitable to remove organic matter in water by conventional process. When raw water is high alkalinity, low TOC or SUVA low water quality, BAC technology can better remove organic matter in water.

【学位授予单位】：清华大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TU991.2

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