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Watershed Planning within a Quantitative Scenario Analysis Framework
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A multidimension cloud model-based approach for water quality assessment.

Dong Wang1, Debiao Zeng1, Vijay P Singh2

  • 1Key Laboratory of Surficial Geochemistry, Ministry of Education, Department of Hydrosciences, School of Earth Sciences and Engineering, State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University, Nanjing, PR China.

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Summary

A new Multidimension Normal Cloud Model (MNCM) effectively evaluates lake eutrophication, considering randomness and fuzziness. This method improves upon existing models, offering a more accurate assessment of water quality for vital lake functions.

Keywords:
Entropy weightEutrophication evaluationMulti-dimension normal cloud model

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Area of Science:

  • Environmental Science
  • Water Resource Management
  • Ecology

Background:

  • Lakes provide essential ecosystem services including water supply, recreation, and habitat.
  • Eutrophication significantly impairs lake functions and water quality.
  • Accurate evaluation of lake eutrophication is crucial for effective management and restoration.

Purpose of the Study:

  • To develop and validate a novel method for evaluating lake eutrophication.
  • To incorporate randomness and fuzziness inherent in the evaluation process.
  • To enhance the accuracy and applicability of eutrophication assessment tools.

Main Methods:

  • Proposed the Multidimension Normal Cloud Model (MNCM) for eutrophication evaluation.
  • Utilized entropy to determine the weights of various evaluation factors.
  • Generated eutrophication levels based on certainty degrees derived from MNCM.

Main Results:

  • MNCM demonstrated high consistency with the actual water status of 12 Chinese lakes and reservoirs.
  • The model effectively integrated multiple evaluation factors, accounting for uncertainty.
  • MNCM proved more consistent with the complexity of water eutrophication than existing methods.

Conclusions:

  • The Multidimension Normal Cloud Model (MNCM) is an effective tool for assessing lake eutrophication.
  • MNCM offers improved parameterization and direct determination of eutrophication levels.
  • This method provides a more robust approach to managing and protecting lake ecosystems.