Work

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

Year: 2025

Type: article

Abstract: : Shallow lakes are important drinking water sources for nearby cities, but shallow lakes are easily affected by wind. Turbidity is an indicator that fluctuates dramatically with changes in wind, which causes severe problems for local waterworks management. Because turbidity is affected not only by the instantaneous wind speed but also by the wind direction, duration of the winds, 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 fluctuation reached 0.8, which was a relatively strong correlation compared with traditional statistical methods. A turbidity prediction model was built, a random forest algorithm was used, and the model was fed with the mean wind-power density and temperature component extracted via EMD (empirical mode decomposition). The results of the model indicated that nearly half of the test samples had REs less than 20%, which was enough for water to work to adjust the dosage in advance. In addition, 90% of the test samples presented an RE (relative error) of less than 70%, which can provide an important reference for adjusting water. The findings of this study can be used to develop turbidity prediction models using readily available meteorological forecast data. This work can serve as a reference for other waterworks with shallow lakes as sources.

Source: Sustainability

DOI: 10.3390/su17051835

Authors: Xinyu Yao, Yiping Zhang

Institutions: Hangzhou Polytechnic, Zhejiang University

Language: English

Topic: Aquatic Ecosystems and Phytoplankton Dynamics

Subfield: Environmental Chemistry

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: gold

Estimated APC paid: $2,896