...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Environmental earth sciences >Groundwater quality assessment with respect to fuzzy water quality index (FWQI): an application of expert systems in environmental monitoring
【24h】

Groundwater quality assessment with respect to fuzzy water quality index (FWQI): an application of expert systems in environmental monitoring

机译：关于水质模糊指数（FWQI）的地下水质量评估：专家系统在环境监测中的应用

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Water quality degradation affects socio-economic development inappropriately and has dire effects on human health too. Water quality indexes (WQIs) are the methods widely used for modelling water quality status. However, using these indexes is limited by some constraints like deficiency of necessary database or uncertainty of decision-making. Throughout the ongoing research, fuzzy water quality indexes (FWQIs) were developed based on the Mamdani fuzzy inference system (FIS) to overcome the above-mentioned limitations. In other words, seven FWQIs models with different water quality parameters have been developed based on triangular and trapezoidal membership functions. Later, the developed indexes were employed to evaluate the water quality of 17 wells in Saveh Plain, Iran. Compared to the conventional WQI, the results showed that the elimination of some needed parameters in development of FWQI did not decrease the accuracy of water quality classification. However, omitting some other parameters with undesirable values made the classification of water quality unreliable. According to the results, some 35 % of wells benefitted from proper drinking water quality, while approximately 30 and 35 % of them suffered from unsuitable and very poor drinking water quality, respectively.
机译：水质退化不适当地影响了社会经济发展，也对人类健康产生了可怕的影响。水质指数（WQIs）是广泛用于水质状况建模的方法。但是，使用这些索引受到某些约束的限制，例如必需数据库的不足或决策的不确定性。在整个正在进行的研究中，基于Mamdani模糊推理系统（FIS）的模糊水质指标（FWQI）得以开发，以克服上述限制。换句话说，已经基于三角和梯形隶属函数开发了七个具有不同水质参数的FWQIs模型。后来，使用已开发的指标评估了伊朗Saveh平原的17口井的水质。与传统的WQI相比，结果表明在FWQI的开发过程中消除一些必需参数不会降低水质分类的准确性。但是，如果忽略其他一些不希望有的值，则会导致水质分类不可靠。根据结果​​，大约35％的水井得益于适当的饮用水质量，而其中分别有30％和35％的水质受到不良和非常差的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号