Projects
Projects
Embedded Files
Current Projects
Current Projects
Mar., 2023 – Dec., 2027
Development of Remote Sensing-Based Measurement Method for Global-Scale Spatio-Temporal Monitoring of Discharge and Sediment Load in Rivers
하천 유량 및 유사량의 전 지구적 시공간 모니터링을 위한 원격탐사 기반 계측기법 개발
PI, Funded by the National Research Foundation of Korea (NRF) [한국연구재단], Sejong Science Fellowship
Aug., 2026 – July, 2028
Study on Water Quality Management Considering Water Intake and Pumping Facilities in the Mainstream and Tributaries of the Nakdong River
낙동강 본류 및 지류 취·양수 시설을 고려한 수질관리방안 연구
PI, Funded by the Nakdong River Basin Management Committee [낙동강수계관리위원회]
April, 2024 – Dec., 2027
Continuous automated measurement technology: development for river sediment discharge using acoustic and optical sensors
음향 및 광학 센서를 활용한 하천 유사량 연속 자동 계측기술 개발
Co-I, Funded by the Ministry of Climate, Energy and Environment (MCEE) [기후에너지환경부]
Collaborators: Dankook Univ., Seoul National Univ., Korea Institute of Hydrological Survey (KIHS), Korea Institute of Civil Engineering and Building Technology (KICT), Geosystem Research, and HydroSEM
Oct., 2025 – Sep., 2028
DeepWater DIVE: Development, Implementation, Verification, and Education (DIVE) of DeepWater Large Language Model in Water Resources Engineering
DeepWater DIVE: 수자원공학 특화 대규모 언어모델 DeepWater의 개발·구현·검증 및 교육
Co-I, Funded by the National Research Foundation of Korea (NRF) [한국연구재단]
Collaborators: Chungnam National Univ. (CNU) and Chung-Ang Univ.
April, 2026 – Dec., 2028
Development of Advanced Remote Sensing-Based Technology for Monitoring Available Water Resources
첨단 원격탐사 기반 수자원 활용 가능량 모니터링 기술개발
Co-I, Funded by the Ministry of Climate, Energy and Environment (MCEE) [기후에너지환경부]
Collaborators: K-Water, Joongbu Univ., Geosystem Research, Seoul National Univ., and AllforLand
April, 2026 – Dec., 2030
Development of Image Analysis Technology for the Safety Assessment and Maintenance of River Structures
하천시설물 안전성 확보 및 유지관리를 위한 영상 분석 기술개발
Co-I, Funded by the Ministry of Climate, Energy and Environment (MCEE) [기후에너지환경부]
Collaborators: Myungji Univ., Dankook Univ., Hanyang Univ., Kyung Hee Univ., Boogie Tech., and Burin
April, 2026 – Nov., 2026
High-Resolution Monitoring of Changes in Sedimentary Environments in National Rivers
국가하천 퇴적환경 변화 정밀 모니터링
Co-I, Funded by the National Institute of Environmental Research (NIER) [국립환경과학원]
Collaborators: Seoul National Univ., Myongji Univ., Dankook Univ., and Changwon National Univ.
Research Interests
Research Interests
Mixing and transport in rivers, lakes, and deltas
Confluence of Nakdong-Hwang rivers (South Korea), meandering channel (KICT river experimental center, South Korea), and Wax Lake Delta (Louisiana, USA; AVIRIS-NG image obtained from NASA's Delta-X project)
Confluence mixing
Delta mixing
Related papers
Kwon, S., Seo, I.W., Lyu. S., Investigating mixing patterns of suspended sediment in a river confluence using high-resolution hyperspectral imagery. Journal of Hydrology. 620PB, 129505. https://doi.org/10.1016/j.jhydrol.2023.129505
Kwon, S., Seo, I.W., Kim., D., Effects of hydropeaking by an upstream dam on thermal mixing in a riverine lake. Journal of Hydrology. 633, 130992. https://doi.org/10.1016/j.jhydrol.2024.130992.
Kwon, S., Passalacqua, P., Nghiem, J., Lamb, M., Mixing patterns of river deltas obtained from remotely-sensed Rouse number. Journal of Geophysical Research: Earth Surface. 130, e2024JF008077. https://doi.org/10.1029/2024JF008077
Remote sensing for sediment transport in rivers and deltas
Drone remote sensing
Related papers
Kwon, S., Shin, J., Seo, I.W., Noh, H., Jung, S.H., You, H., Measurement of suspended sediment concentration in open channel flows based on hyperspectral imagery from UAVs. Advances in Water Resources 159, 104076. https://doi.org/10.1016/j.advwatres.2021.104076
Kwon, S., Seo, I.W., Noh, H., Kim, B., Hyperspectral retrievals of suspended sediment using cluster-based machine learning regression in shallow waters. Science of the Total Environment 833, 155168. https://doi.org/10.1016/j.scitotenv.2022.155168
Kwon, S., Gwon, Y., Kim., D., Seo, I.W., You, H., Unsupervised classification of bottom materials for bathymetry estimation using UAV-based hyperspectral imagery in shallow rivers. Remote Sensing. 15(11), 2803. https://doi.org/10.3390/rs15112803
Airborne remote sensing
Related papers
Kwon, S., Passalacqua, P., Soloy, A., Jensen, D., Simard, M. Depth mapping in turbid and deep waters using AVIRIS-NG imagery: a study in Wax Lake Delta, Louisiana, USA. Water Resources Research. 60(11). https://doi.org/10.1029/2023WR036875
Kwon, S., Passalacqua, P., Nghiem, J., Lamb, M., Mixing patterns of river deltas obtained from remotely-sensed Rouse number. Journal of Geophysical Research: Earth Surface. 130, e2024JF008077. https://doi.org/10.1029/2024JF008077
Numerical modeling of mixing and transport in environmental flows
Hydropower release-driven thermal mixing at a confluence
Analysis of particle behavior under hydropeaking using a Lagrangian Particle Tracking (LPT) model
Related papers
Kwon, S., Seo, I. W.*, Park, I., Kim, J. S., Suspended material retention in riverine reservoirs: role of hydropeaking, density currents, and settling velocity. Journal of Hydrology-Regional Studies. 61, 102706. https://doi.org/10.1016/j.ejrh.2025.102706
Kwon, S., Seo, I.W.*, Kim., D., Effects of hydropeaking by an upstream dam on thermal mixing in a riverine lake. Journal of Hydrology. 633, 130992. https://doi.org/10.1016/j.jhydrol.2024.130992.
INTELLIGENT ENVIRONMENTAL HYDRAULICS LAB @GNU
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