20200416_Evaluating physico-chemical influences on cyanobacterial blooms using hyperspectral images in inland water, Korea
1. Title, Journal, and Authors
Title: Evaluating physico-chemical influences on cyanobacterial blooms using hyperspectral images in inland water, Korea
Journal: Water Research
Authors: Yongeun Parka, JongCheol Pyoa, Yong Sung Kwona, YoonKyung Chab, Hyuk Leec, Taegu Kangd, Kyung Hwa Choa,*
a School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology
b School of Environmental Engineering, University of Seoul
c Water Quality Assessment Research Division, National Institute of Environmental Research, Environmental Research Complex
d Yeongsan River Environmental Research Centr, National Insitute of Environmental Research
The main objective of this research is to describe the relation between cyanobacterial blooms and physicochemical influences. ANN model was carried with four ground-based sampling events based on HSI (Hyperspectral images) data. EFDC model was also carried for the analysis of hydrodynamic conditions.
In the results, the concentrations of August were the highest from August to October that meant the water temperature affected the concentration. And, though the events are the same as August, one showed a lower concentration when water velocity was higher. Although water temperature, TN, TP and outflow rate had the significance of the correlation, the most predominant factor among them was the water temperature.
3. Application to research
- ANN algorithm was carried with other methods such as the EFDC model.
- Various researches would bring better research results.
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
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