Analysis of groundwater quality using fuzzy synthetic evaluation
Analysis of groundwater quality using fuzzy synthetic evaluation
复制标题
DOI：
10.1016/j.jhazmat.2007.01.119
复制
发表时间：
2007-08-25
影响因子：
13.6
通讯作者：
Kushwaha, H. S.
中科院分区：
文献类型：
--
作者：
Dahiya, Sudhir;Singh, Bupinder;Kushwaha, H. S.
本文报道了模糊集决策理论在饮用地下水理化质量评估中的应用。基于模糊集理论的方法，用于在监测数据不精确的环境中表达水质，并以非概率的方式给出规定的限值。模糊综合评价模型根据各个监管机构质量等级的规定限值和饮用水质量领域专家的看法，给出了水的可接受性的确定性水平。以从印度哈里亚纳邦南部 Ateli 地区 15 个村庄采集的 42 个地下水样本为例，说明了基于模糊规则的优化模型的应用。对这些样品的 16 种不同的物理化学水质参数进行了分析。使用此方法使用十个参数进行质量评估。分析结果显示，4个样本属“理想”类别，确定性水平为35-58%；23个样本属“可接受”类别，确定性水平为37%至75%；余下15个样本属“不可接受”类别，确定性水平为44%至100%。结论是，大约 64% 的水源属于饮用“理想”或“可接受”类别。 (C) 2007 Elsevier B.V. 保留所有权利。
This paper reports the application of fuzzy set theory for decision-making in the assessment of physico-chemical quality of groundwater for drinking purposes. Methodology based on fuzzy set theory used to express the quality of water in the imprecise environment of monitored data and prescribed limits given in a non-probabilistic sense. Fuzzy synthetic evaluation model gives the certainty levels for the acceptability of the water based on the prescribed limit of various regulatory bodies quality class and perception of the experts from the field of drinking water quality. Application of fuzzy rule based optimization model is illustrated with 42 groundwater samples collected from the 15 villages of Ateli block of southern Haryana, India. These samples were analysed for 16 different physico-chemical water quality parameters. Ten parameters were used for the quality assessment using this approach. The analysis showed that four samples were in "desirable" category with certainty level of 35-58%, 23 samples were in "acceptable" category whose certainty level ranged from 37 to 75% and remaining 15 samples were in "not acceptable" category for drinking purposes with certainty levels from 44 to 100%. This concludes that about 64% water sources were either in "desirable" or "acceptable" category for drinking purposes. (C) 2007 Elsevier B.V. All rights reserved.