Mahloch J L
Appl Microbiol. 1974 Feb;27(2):340-5. doi: 10.1128/am.27.2.340-345.1974.
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.
目前，利用模型预测水质参数变化被视为流域管理的一个组成部分。由于涉及的复杂性以及自然环境中大肠菌群种群缺乏确切信息，建模技术在大肠菌群方面的应用尚处于起步阶段。本研究的目的是对现有的大肠菌群模型进行比较分析，以改进该领域的技术水平。现有的大肠菌群模型可分为确定性模型或统计模型。在本研究中，选择了六种不同的模型，每种类型各三个，进行分析并应用于Leaf河的大肠菌群数据。模型比较结果表明，确定性模型最适合总大肠菌群，统计模型最适合粪大肠菌群。大肠菌群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，当前技术可能会倾向于使用确定性模型。
