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Analysis of Lake Water Quality classification using Fuzzy inference Systems

机译:基于模糊推理系统的湖泊水质分类分析

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Water from various sources are stored in lakes and used for multiple purposes after a prolonged storage time. The main purpose of this paper is to predict the stored water status using fuzzy inference technique. Quality of water affects public health, growth and yield of the plants. Water quality is measured based on its chemical, physical, and biological parameters. Water quality of 3 different lakes in the surroundings of Hosur Municipality in Tamil Nadu has been analysed based on pH, DO, Boron, SAR, BOD, Free Ammonia and TC using fuzzy inference system. Due to uncertainty and inconsistency of water quality data, fuzzy system is used to classify the water into 5 different groups based on the criteria specified by the Central Pollution Control Board. This paper perhaps the first attempt to analyse the lake water in and around Hosur region. It is to be noted that lake water percolates to the soil and directly influences the ground water quality, which is utilized by the local people of Hosur.
机译:来自各种水源的水被储存在湖泊中,并在延长储存时间后用于多种用途。本文的主要目的是使用模糊推理技术预测储水状态。水的质量影响公共健康,植物的生长和产量。水质是根据其化学,物理和生物学参数进行测量的。利用模糊推理系统,基于pH,DO,硼,SAR,BOD,游离氨和TC,分析了泰米尔纳德邦Hosur市周围3个不同湖泊的水质。由于水质数据的不确定性和不一致性,根据中央污染控制委员会指定的标准,使用模糊系统将水分为5个不同的组。本文也许是分析胡苏尔地区及其周边地区湖水的首次尝试。应当指出,湖水渗透到土壤中并直接影响地下水质量,这是Hosur当地人所利用的。

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