31 Papers
73 Citations
Hyuk Lee is an academic researcher from National Institute of Environmental Research. The author has contributed to research in topics: Water quality & Environmental science. The author has an hindex of 10, co-authored 31 publications.
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Papers
Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: Experimental and modeling approach.
TL;DR: A novel methodology to optimize the sizes of different types of LID by conducting intensive stormwater monitoring and numerical modeling in a commercial site in Korea is proposed, which optimizes LID size in an attempt to moderate FFE on a receiving waterbody.
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A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imagery
JongCheol Pyo,Hongtao Duan,Sang-Soo Baek,Moon S. Kim,Taegyun Jeon,Yong Sung Kwon,Hyuk Lee,Kyung Hwa Cho +7 more
TL;DR: In this paper, the point-centered regression CNN (PRCNN) was applied to estimate the concentrations of phycocyanin and chlorophyll-a (Chl-a).
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The relative importance of water temperature and residence time in predicting cyanobacteria abundance in regulated rivers.
TL;DR: It was suggested that temperature and residence time, but not nutrient levels, are important predictors of summer cyanobacteria abundance in rivers, and the magnitude of weir inflow is a key factor determining the cyanob bacteria abundance under baseline conditions.
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Evaluating physico-chemical influences on cyanobacterial blooms using hyperspectral images in inland water, Korea.
TL;DR: Overall, this study helps to describe spatial and temporal variations in cyanobacterial blooms and identify the factors affecting the variation in the blooms.
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High-Spatial Resolution Monitoring of Phycocyanin and Chlorophyll-a Using Airborne Hyperspectral Imagery
JongCheol Pyo,Mayzonee Ligaray,Yong Sung Kwon,Myoung Hwan Ahn,Kyunghyun Kim,Hyuk Lee,Taegu Kang,Seong Been Cho,Yongeun Park,Kyung Hwa Cho +9 more
TL;DR: The PC:Chl-a distribution generated using HSI proved to be negatively dependent on flow velocity and successfully indicated cyanobacteria risk regions in the study area and the MODTRAN 6 correction led to the highest R2 values and lowest root mean square error values for all algorithms in terms of PC and Chl- a.
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