Prediction Model suitable for Long-term High Turbidity Events in a Reservoir

Abstract

The turbidity events caused by Typhoon “Kong-rey” in 2018 were selected as the measured turbidity data required to build the CE-QUAL-W2 model. The turbidity, water temperature, climate data, and discharge measured in the main dam were used as input data for numerical simulations. To ensure the reliability of the parameters, the turbidity events caused by Typhoon “Mitak” in 2019 were additionally selected, and optimal parameters for water temperature and other parameters were selected using case by case simulation. The analysis showed that the error rate and reliability were relatively good as the turnover phase approached through the turbidity rise and fall periods. The results of the verification of the maximum and average turbidity were better than those of the verification of the period-specific simulation. Thus, the models constructed in this study were determined to be suitable for the flood season.