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The Seasonal Characteristics of the Wind Conditions and Turbidity for Lake-Type Raw Water and the Development of a Turbidity Prediction Model

Author

Listed:
  • Xinyu Yao

    (College of Urban Construction, Hangzhou Polytechnic, Hangzhou 311402, China)

  • Yiping Zhang

    (Key Laboratory of Drinking Water Safety and Distribution Technology, Zhejiang University, Hangzhou 310058, China)

Abstract

Shallow lakes are important drinking water sources, but are easily affected by wind. Turbidity is an indicator that fluctuates dramatically with changes in wind and is affected not only by the instantaneous wind speed but also by the wind direction, duration, etc. The Weibull distribution was introduced to describe the distributions of the wind conditions and turbidity during a seasonal period. The relationship between the mean wind-power density and the corresponding turbidity reached 0.8, which showed a relatively strong correlation. A turbidity prediction model was built by the random forest algorithm and was fed with the mean wind-power density and temperature. The results indicated that nearly half of the test samples had REs less than 20%, which was enough for waterworks to adjust the dosage in advance. The findings can be used to develop turbidity prediction models using meteorological forecast data and provide a reference for waterworks with shallow lakes as sources.

Suggested Citation

  • Xinyu Yao & Yiping Zhang, 2025. "The Seasonal Characteristics of the Wind Conditions and Turbidity for Lake-Type Raw Water and the Development of a Turbidity Prediction Model," Sustainability, MDPI, vol. 17(5), pages 1-25, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:5:p:1835-:d:1596733
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    References listed on IDEAS

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