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Updated: Jan 21, 2026

10:44
Clean Sampling and Analysis of River and Estuarine Waters for Trace Metal Studies
Published on: July 1, 2016
12.0K
Assessment of River Water Quality Based on an Improved Fuzzy Matter-Element Model
Yumin Wang1, Weijian Ran2, Lei Wu3
1School of Energy and Environment, Southeast University, Nanjing 210096, China. wangyumin@seu.edu.cn.
Summary
An improved fuzzy matter-element (IFME) method enhances river water quality assessment by integrating set pair analysis and variable coefficient methods. This approach provides a more scientific and objective evaluation, especially for polluted rivers.
Area of Science:
- Environmental Science
- Water Quality Assessment
- Fuzzy Mathematics
Background:
- Traditional water quality evaluation methods often face challenges with data interpretation and objectivity.
- Assessing river water quality is crucial for environmental management and public health.
Purpose of the Study:
- To propose and validate an improved fuzzy matter-element (IFME) method for scientific and objective river water quality assessment.
- To evaluate the water quality of Caoqiao River using the novel IFME method.
Main Methods:
- Integration of the classical matter-element (ME) method, set pair analysis (SPA), and variable coefficient method (VCM).
- Application of the IFME method to water quality data from five monitor stations along Caoqiao River.
- Determination of river water quality levels using fuzzy closeness degree.
Main Results:
- The IFME method effectively determined river water quality levels.
- Variable coefficient method (VCM) optimized weight determination, reducing workload and mitigating abnormal data effects.
- Set pair analysis (SPA) enabled more scientific and comprehensive utilization of monitored data.
Conclusions:
- The IFME method offers a more scientific and objective approach to river water quality assessment compared to traditional methods.
- The IFME method is particularly suitable for evaluating seriously polluted rivers.
- An integrated approach is essential for accurate river water quality assessment.
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