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首页> 外文期刊>Journal of geovisualization and spatial analysis >Fuzzy Logic Interference for Characterization of Surface Water Potability in Ikare Rural Community, Nigeria
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Fuzzy Logic Interference for Characterization of Surface Water Potability in Ikare Rural Community, Nigeria

机译：模糊逻辑特征的干扰在Ikare农村地表水饮用性社区、尼日利亚

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The availability of potable surface water in Nigeria, a typical developing nation, is low, and this information is not readily available to local residents in the country. Therefore, we carried out a low-cost Fuzzy Logic Inference characterization on the quality of surface water in a rural community (with 12 catchment areas) of Ikare, Ondo State of Nigeria. From the numerous water samples taken from the river that runs across the catchment areas, twenty (20) representative water samples were chosen and subjected to physical (temperature, pH), chemical (such as TDS, DO, BOD, metal ion concentrations), and biological (fecal and total coliform) characterizations. Further, five fuzzy sets and Mamdani fuzzy inference system method were used to normalize the parameters for pollution susceptibility analysis. We adopted GIS environment to provide a synoptic and high temporal information about the distribution of the surface water quality, indicating the areas susceptible to pollution. When compared with World Health Organization (WHO) and Nigeria Industrial Standards, we found the waters were generally unsuitable for drinking. Only 8.3% of the studied water samples were moderate for drinking while in linguistic terms for pollutant levels, 16.7%, 50%, and 25% fell in the categories of high, very high, and extremely high, respectively. Through statistical correlation (p < 0.05), we identified the notable water pollutants as fecal coliform, heavy metal, K+, and total dissolved solids. Therefore, we infer that direct excretion into the water channels, dumping of spent oil from mechanic workshop, and effluents from domestic and agricultural wastes are the major sources of the pollutants. Consequently, fuzzy logic analysis proved to be a readily available and reliable method for water potability assessment, especially in rural areas of developing nations.
机译：饮用地表水的可用性尼日利亚,一个典型的发展中国家,低,这个信息不容易获得当地居民。进行了低成本的模糊逻辑推理地表水的质量特征在农村社区(12集水区)Ikare,帕斯尼日利亚的状态。水从河里运行样本在集水区,二十(20)水样本选择和代表受到物理(温度、pH值),化学(如TDS、做、BOD、金属离子浓度),和生物(粪便和总大肠杆菌)特征。Mamdani模糊推理系统的方法规范化的参数为污染敏感性分析。环境提供天气和高时间的分布信息地表水质量,表明区域容易受到污染。世界卫生组织(世卫组织)和尼日利亚工业标准,我们发现水一般不适宜饮用。研究了水样是温和的饮酒对污染物在语言的条款水平,16.7%,50%,25%的下跌类别的高,非常高,非常高,分别。相关性(p < 0.05),我们确认的水污染物如粪大肠菌、重金属、K +和总溶解固体。推断直接排泄入水中渠道,从机械倾倒了石油车间,并从国内和废水农业废物的主要来源污染物。被证明是一个现成的和可靠的方法对水饮用性评估,特别是在发展中国家的农村地区。

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