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Eutrophication Assessment Based on the Cloud Matter Element Model.

Yumin Wang1, Xian'e Zhang2, Yifeng Wu1

  • 1School of Energy and Environment, Southeast University, Nanjing 210096, China.

International Journal of Environmental Research and Public Health
|January 18, 2020
PubMed
Summary
This summary is machine-generated.

A new cloud matter element (CME) model effectively evaluates lake eutrophication, incorporating uncertainty for objective scientific assessment. This method provides reliable results for China

Keywords:
cloud matter element (CME)eutrophication evaluationlakesreservoirs

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Area of Science:

  • Environmental Science
  • Water Quality Assessment
  • Eutrophication Studies

Background:

  • Eutrophication poses a significant threat to China's lakes and reservoirs, impacting ecosystems and water resources.
  • Evaluating eutrophication involves complex, multi-criteria decision-making processes often affected by inherent uncertainties.

Purpose of the Study:

  • To develop and validate a novel Cloud Matter Element (CME) model for objective and scientific eutrophication level evaluation.
  • To address the randomness and fuzziness inherent in the eutrophication assessment process.

Main Methods:

  • Developed a CME model integrating randomness and fuzziness using cloud theory.
  • Determined element certainty degrees via cloud model simulations with expectation (E), entropy (E), and hyper-entropy (H).
  • Combined entropy technology and analytic hierarchy process for indicator weight determination.

Main Results:

  • The CME model successfully evaluated eutrophication levels for 24 typical Chinese lakes/reservoirs.
  • Results demonstrated consistency with comprehensive index, matter element, fuzzy matter element, and cloud models.
  • The model effectively determined eutrophication levels based on maximum neartude principal.

Conclusions:

  • The proposed CME model is a scientifically sound and effective tool for evaluating lake and reservoir eutrophication.
  • The CME model offers an objective approach to managing water quality and addressing eutrophication challenges.