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WATER QUALITY MANAGEMENT IN A TREATMENT PLANT USING THE BOX-JENKINS METHOD

机译:使用箱子jenkins方法治疗厂水质管理

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摘要

Drinking water systems are critical to society. They protect residents from waterbome illnesses and encourage economic success of businesses by providing consistent water supplies to industries and supporting a healthy work force. This paper shows a study on water quality management in a treatment plant (TP) using the Box-Jenkins method. A comparative analysis was carried out between concentrations of water quality parameters, and Colombian legislation and guidelines established by the World Health Organization. We also studied the rainfall influence in relation to variations in water quality supplied by the TP. A correlation analysis between water quality parameters was carried out to identify management parameters during the TP operation. Results showed the usefulness of the Box-Jenkins method for analyzing the TP operation from a weekly timescale (medium-term), and not from a daily timescale (short-term). This was probably due to significant daily variations in the management parameters of water quality in the TP. The application of a weekly moving average transformation to the daily time series of water quality parameter concentrations significantly decreased the mean absolute percentage error in the forecasts of Box-Jenkins models developed. Box-Jenkins analysis suggested an influence of the water quality parameter concentrations observed in the TP during previous weeks (between 2-3 weeks). This study was probably constituted as a medium-term planning tool in relation to atypical events or contingencies observed during the TP operation. Finally, the findings in this study will be useful for companies or designers of drinking water treatment systems to take operational decisions within the public health framework.
机译:饮用水系统对社会至关重要。它们通过为行业提供一致的水供应并支持健康的劳动力,保护企业的居民免受睡眠疾病的并鼓励经济成功。本文展示了使用箱子詹金斯方法进行治疗厂(TP)水质管理的研究。在水质参数浓度和世界卫生组织建立的哥伦比亚立法和准则之间进行了比较分析。我们还研究了与TP提供的水质的变化有关的降雨影响。进行了水质参数之间的相关分析,以在TP操作期间识别管理参数。结果表明,从每周时间尺度(中期),而不是每日时间尺度(短期)分析TP操作的箱子-Jenkins方法的有用性。这可能是由于TP水质管理参数的显着日常变化。将每周移动平均转换的应用在日常时间序列的水质参数浓度下显着降低了开发的箱子詹金斯模型预测中的平均绝对百分比误差。 Box-Jenkins分析表明在前几周(2-3周之间)在TP中观察到的水质参数浓度的影响。本研究可能是与TP操作期间观察到的非典型事件或突发事件相关的中期规划工具。最后,本研究中的调查结果对于饮用水处理系统的公司或设计师将在公共卫生框架内采取业务决策。

著录项

  • 来源
    《Archives of Civil Engineering》 |2020年第3期|125-137|共13页
  • 作者单位

    Universidad Distrital Francisco Jose de Caldas Facultad del Medio Ambiente y Recursos Naturales Avda. Circunvalar Venado de Oro. Bogota Colombia;

    Universidad Distrital Francisco Jose de Caldas Facultad del Medio Ambiente y Recursos Naturales Avda. Circunvalar Venado de Oro. Bogota Colombia;

    Universidad Distrital Francisco Jose de Caldas Facultad del Medio Ambiente y Recursos Naturales Avda. Circunvalar Venado de Oro. Bogota Colombia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Box-Jenkins model; Treatment plant; Time series; Water quality;

    机译:Box-Jenkins模型;治疗厂;时间序列;水质;

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