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Related Experiment Videos

Water quality evaluation based on improved fuzzy matter-element method.

Dongjun Liu1, Zhihong Zou

  • 1School of Economics and Management, Beihang University, Beijing 100191, China. laueastking3168@163.com

Journal of Environmental Sciences (China)
|March 22, 2013
PubMed
Summary
This summary is machine-generated.

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Testing Water Quality

When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
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Quality of Water

In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...

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This study introduces an improved fuzzy matter-element method for natural water quality evaluation. The enhanced approach provides more credible and comprehensive water quality assessments, reducing workload and improving accuracy.

Area of Science:

  • Environmental Science
  • Water Resource Management
  • Applied Mathematics

Background:

  • Traditional water quality evaluation methods face challenges with data variability and workload.
  • Accurate and reliable water quality assessment is crucial for environmental protection and public health.

Purpose of the Study:

  • To present an improved fuzzy matter-element evaluation method for natural water quality.
  • To enhance the accuracy and efficiency of water quality assessment using scientific data.
  • To provide a more credible evaluation method compared to traditional approaches.

Main Methods:

  • Modified the determination of indicator weights using the coefficient of variation.
  • Replaced traditional trapezoidal membership functions with normal membership degrees.

Related Experiment Videos

  • Constructed composite fuzzy matter-elements through associated transformation and applied the principle of maximum correlation.

    • Main Results:

    • The improved method was applied to the Luokou mainstream estuary, showing a decline from water quality level I to level II.
    • Results from the improved method closely aligned with official water quality data.
    • The coefficient of variation method for weight determination reduced workload and mitigated the impact of abnormal data.

    Conclusions:

    • The improved fuzzy matter-element evaluation method offers a more scientific and comprehensive approach to water quality assessment.
    • This method enhances credibility and efficiency compared to traditional evaluation techniques.
    • It provides a valuable new tool for water quality monitoring and management.