The Seasonal Characteristics of the Wind Conditions and Turbidity for Lake-Type Raw Water and the Development of a Turbidity Prediction Model
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.
Authors
- Yiping Zhang (ORCID: https://orcid.org/0000-0001-8537-8181)
- Xiaolin Yao
Institutions
- Hangzhou Wanxiang Polytechnic (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Sustainability
- Published
- 2025-02-21
- DOI
- https://doi.org/10.3390/su17051835
- Citations
- 1
- Primary Topic
- Hydrology and Watershed Management Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.82