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给水管网中细菌总数快速预测模型的建立与应用 被引量:1

Establishment and Application of Rapid Prediction Model for Total Bacteria Number in Water Distribution Network
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摘要 对选定实际给水管网的水质进行了长期监测,研究了水质与细菌总数的相关关系,分析确定了与细菌总数相关性较高且易于测定的水温、自由余氯、总余氯、浊度及UV254等5项指标,应用多元线性回归分析建立了实际给水管网中细菌总数的快速预测模型。经验证,该模型预测的准确度为64.55%,能够用于实际给水管网中细菌总数的快速预测,可为保障供水管网水质微生物学指标的安全提供快速、可靠的技术支持。 Long time detection was made on the water quality in selected water distribution network. The correlation between several water quality parameters and total bacteria number was investigated. Temperature, free residual chlorine, total residual chlorine, turbidity and UV254 were analyzed and determined for their high correlation with total bacteria number and ease to be detected. Multivariate linear regression method was applied to found a rapid prediction model for total bacteria number in water distribution network. The prediction accuracy of the model is 64.55%. The model can be used in the rapid prediction of total bacteria number in water distribution network, and provide technical support for ensuring the microbiological indexes of water quality in water distribution network.
出处 《中国给水排水》 CAS CSCD 北大核心 2008年第13期78-81,共4页 China Water & Wastewater
基金 国家自然科学基金资助项目(50478086)
关键词 给水管网 细菌总数 预测模型 water distribution network total bacteria number prediction model
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