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  • 标题:Determine of Surface Water Quality Index in Iran
  • 其他标题:Determine of Surface Water Quality Index in Iran
  • 本地全文:下载
  • 作者:Balal Oroji
  • 期刊名称:Journal of Environment and Earth Science
  • 印刷版ISSN:2225-0948
  • 电子版ISSN:2225-0948
  • 出版年度:2017
  • 卷号:7
  • 期号:2
  • 页码:53-63
  • 语种:English
  • 出版社:The International Institute for Science, Technology and Education (IISTE)
  • 摘要:In modeling complex of environmental problems, researchers often fail to define precise statements about input and outcomes of contaminants, but fuzzy logic could help to dominate this logical indecision. The goal of this work is to propose a new river water quality indicator using fuzzy logic. The proposed index combines six indicators, and not only does it exhibit a tool that accounts for the discrepancy between the two base indices, but also provides a quantifiable score for the determined water quality. These classifications with a membership grade can be of a sound support for decision-making, and can help assign each section of a river a gradual quality sub-objective to be reached. To show the applicability of the proposed approach, the new indicator was used to classify water quality in a number of stations along the basins of Qarah-chai and Siminehrood. The obtained classifications were then compared to the conventional physicochemical water quality indicator currently in use in Iran. The results revealed that the fuzzy indicator provided stringent classifications compared to the conventional index in 38% and 44% of the cases for the two basins respectively. These noted exceptions are mainly due to the big disagreement between the different quality thresholds in the two standards, especially for fecal coliform and total phosphorus. These large disparities put forward an argument for the Iranian water quality law to be upgraded. Keywords: Fuzzy logic; Qarah-chai basin; Siminehrood; Water quality index
  • 关键词:Fuzzy logic; Qarah-chai basin; Siminehrood; Water quality index
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