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Comparative Analysis of Modeling Techniques for Coliform Organisms in Streams

机译：流中大肠菌生物建模技术的比较分析

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The use of models for predicting changes in water quality parameters is currently considered an integral part of river basin management. The application of modeling techniques to coliform organisms is in its infancy due to the complexities involved and the lack of definitive information on coliform populations in natural environments. The purpose of this study was to make a comparative analysis of the available models for coliform organisms in order to improve on the state of the art of this subject. The available coliform models may be classified into deterministic or statistical types. In this study, six different models, three of each type, were selected for analysis and were applied to coliform data available on the Leaf River. Results of comparing the models indicated that a deterministic model was best suited for total coliform and a statistical model was best suited for fecal coliform. Ultimate selection of a model for coliform organisms is dependent not only on the accuracy of the model but on ease of implementation. Current technology would probably dictate the use of a deterministic model because of the lack of a complete data base on which to base statistical models.
机译：目前认为使用模型来预测水质参数的变化是流域管理不可或缺的一部分。由于涉及的复杂性以及缺乏自然环境中大肠菌群种群的确切信息，因此将建模技术应用于大肠菌群生物尚处于起步阶段。这项研究的目的是对大肠菌群生物可用模型进行比较分析，以改善该受试者的技术水平。可用的大肠菌群模型可以分为确定性或统计类型。在这项研究中，选择了六个不同的模型（每种类型三个）进行分析，并将其应用于叶河上可获得的大肠菌群数据。比较模型的结果表明，确定性模型最适合于总大肠菌群，而统计模型最适合于粪便大肠菌群。对大肠菌群生物模型的最终选择不仅取决于模型的准确性，还取决于实施的难易程度。由于缺乏作为统计模型基础的完整数据库，当前技术可能会决定使用确定性模型。

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