20200707_Algal bloom prediction of the lower Han River, Korea using the EFDC hydrodynamic and water quality model

 

1. Title, Journal, and Authors

Title: Algal bloom prediction of the lower Han River, Korea using the EFDC hydrodynamic and water quality model

Journal: Ecological Modeling

Authors: Jaeyoung Kim, Tongeun Lee, Dongil Seo*

Department of environmental engineering, Chungnam national university

 

2. Summary

This paper is written to find out the way to increase the accuracy of the EFDC model when predicting the concentration of the algae. So, three scenarios are introduced. 1) Same algae growth rate regardless of genera and site. 2) Different algae growth in terms of genera. 3) Different algae growth in terms of genera and site. Chlorophyll-a was introduced as a target material.

The third shows the highest accuracy among the scenarios. As a result, to achieve the highest accuracy of the EFDC model, the respective algal growth rate should be introduced, and other algal genera are also needed to be considered except the three genera. Finally, it is important to consider the factors not treated in the model.

 

5. Contact

Dae Seong Jeong / Integrated Ph.D. program

 

Environmental Systems Engineering Lab.

School of Environmental Science & Engineering

Gwangju Institute of Science and Technology

1 Oryong-dong Buk-gu Gwangju, 500-712, Korea

 

Phone : +82-10-2003-7860

E-mail : jeongds92@gist.ac.kr