水质
生化需氧量
浊度
环境科学
碱度
索引(排版)
地表水
总悬浮物
化学需氧量
模糊推理系统
总溶解固体
质量(理念)
水文学(农业)
环境工程
比例(比率)
模糊逻辑
水资源管理
环境资源管理
计算机科学
地理
自适应神经模糊推理系统
生态学
工程类
地图学
化学
模糊控制系统
废水
人工智能
生物
认识论
岩土工程
有机化学
哲学
万维网
作者
Tirupathi Chanapathi,Shashidhar Thatikonda
出处
期刊:Journal of Hazardous, Toxic, and Radioactive Waste
[American Society of Civil Engineers]
日期:2019-05-26
卷期号:23 (4)
被引量:22
标识
DOI:10.1061/(asce)hz.2153-5515.0000443
摘要
Evaluation of the water quality index is highly complex and needs competent models to assess at global and regional scales. A fuzzy-based inference system (FIS) provides an effective tool for solving this type of complex problems. This study presents the development of a Mamdani-type fuzzy-based regional water quality index (FRWQI) consisting of 10 water quality parameters such as dissolved oxygen (DO), fecal coliforms (FC), biological oxygen demand (BOD), pH, nitrogen, suspended solids (SS), alkalinity, turbidity, chemical oxygen demand (COD), and electrical conductivity (EC). It can be used for the evaluation of the water quality index of various river basins across the world. The assessment of surface water quality was proposed with three classes using classifications from six countries in various geographic regions. The FRWQI is comparable to water quality models used in India, Malaysia, and the United States, despite its varied geographic origin, and can help in the self-assessment of regional water quality on a global scale.
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