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鉴于城市供水管网末梢水质检验一直是供水水质监测的难点,以苏州市五个偏远小区供水管网末梢的水质指标数据为样本,应用数学统计模型中的4D检验模型和Q检验模型对所监测的水质数据进行了检验。结果表明,4D检验模型和Q检验模型均能快速、灵敏地检测出离群数据,其中4D检验模型对水中氯气及游离氯制剂、溶解性总固体、浑浊度等水质指标较为敏感;Q检验模型在不同的显著性水平下均能检测出水中溶解性总固体、总β放射性等水质指标的异常。可见应用数学统计模型可对供水管网水质进行检验与分析,从而可提高水质检测的科学性和合理性,亦可为供水管网建立水质模型与进行水质调度奠定良好的理论基础。
In view of the water quality testing of urban water supply pipe network has been the difficulty of water quality monitoring, taking the water quality indicators of the five remote district water supply network in Suzhou as a sample, using the 4D test model and the Q test model in the mathematical statistical model to monitor The water quality data was tested. The results show that both the 4D test model and the Q test model can detect outliers rapidly and sensitively. The 4D test model is sensitive to the water quality indicators such as chlorine and free chlorine in water, total dissolved solids and turbidity. Q test model Under different significance levels, the abnormalities of water quality indicators such as total dissolved solids and total beta radioactivity can be detected. It can be seen that the application of mathematical statistics model can test and analyze the water quality of water supply network, which can improve the scientificity and rationality of water quality testing. It can also lay a good theoretical foundation for the establishment of water quality model and water quality scheduling for water supply network.