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Fuzzy Logic Water Quality Index and Importance of Water Quality Parameters

机译：水质指标的模糊逻辑及水质参数的重要性

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Determination of status of water quality of a river or any other water sources is highly indeterminate. It is necessary to have a competent model to predict the status of water quality and to advice for type of water treatment for meeting different demands. One such model (UNIQ2007) is developed as an application software in water quality engineering. The unit operates in a fuzzy logic mode including a fuzzification engine receiving a plurality of input variables on its input and being adapted to compute membership function parameters. A processor engine connected downstream of the fuzzification unit will produce fuzzy set, based on fuzzy variable viz. DO, BOD, COD, AN, SS and pH. It has a defuzzification unit operative to translate the inference results into a discrete crisp value of WQI. The UNIQ2007 contains a first memory device connected to the fuzzification unit and containing the set of membership functions, a secondary memory device connected to the defuzzification unit and containing the set of crisp value which appear in the THEN part of the fuzzy rules and an additional memory device connected to the defuzzification unit. More advantageously, UINQ2007 is constructed with control elements having dynamic fuzzy logic properties wherein target non-linearity can be input to result in a perfect evaluation of water quality. The development of the fuzzy model with one river system is explained in this paper. Further the model has been evaluated with the data from few rivers in Malaysia, India and Thailand. This water quality assessor probe can provide better quality index or identify the status of river with 90% perfection. Presently, WQI in most of the countries is referring to physic-chemical parameters only due to great efforts needed to quantify the biological parameters. This study ensures a better method to include pathogens into WQI due to superior capabilities of fuzzy logic in dealing with non-linear, complex and uncertain systems.
机译：确定河流或任何其他水源的水质状况非常不确定。必须有一个能胜任的模型来预测水质状况并为满足不同需求提供水处理类型的建议。开发了一种这样的模型（UNIQ2007）作为水质工程中的应用软件。该单元以包括模糊化引擎的模糊逻辑模式操作，该模糊化引擎在其输入上接收多个输入变量并且适于计算隶属函数参数。连接到模糊化单元下游的处理器引擎将基于模糊变量viz产生模糊集。 DO，BOD，COD，AN，SS和pH。它具有可将推理结果转换为WQI离散离散值的解模糊单元。 UNIQ2007包含一个连接到模糊化单元并包含隶属函数集的第一存储设备，一个连接到模糊化单元并包含出现在模糊规则的THEN部分中的明快值的辅助存储设备，以及一个附加存储器连接到除模糊单元的设备。更有利地，UINQ2007由具有动态模糊逻辑特性的控制元件构成，其中可以输入目标非线性度，以对水质进行完美评估。本文阐述了一种河流系统模糊模型的发展。此外，还利用来自马来西亚，印度和泰国的几条河流的数据对模型进行了评估。这款水质评估器探头可以提供更好的质量指标或以90％的完美度识别河流状况。当前，大多数国家中的WQI仅由于对生物学参数进行定量化的努力而引用物理化学参数。由于模糊逻辑在处理非线性，复杂和不确定系统方面的卓越能力，因此本研究确保了将病原体纳入WQI的更好方法。

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