Publications

*: corresponding author


In Prep.

Kwon, S.*, Passalacqua, P., Nghiem, J., Lamb, M., Mixing Patterns of River Deltas from Remotely Sensed Rouse Number (In preparation for Journal of Geophysical Research: Earth Surface)


In Review

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 (under review).


Kwon, S., Seo, I.W., Kim, B., Jung, S.H.*, Kim, Y. D., Assessment of River Recreation Safety through the Integration of Hydrodynamic Modeling and Fuzzy Logic: A Spatial River Recreational Index Approach. Journal of Hydro-environment Research (in revision).


2024

[16] Jung, S.H., Kwon, S., Seo, I.W., Kim, J.S.*, Comparison between Hyperspectral and Multispectral Retrievals of Suspended Sediment Concentration in Rivers. Water. 16(9), 1275. https://doi.org/10.3390/w16091275.


[15] 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.


[14] Noh, H., Kwon, S.,  Park, Y.S.*, Woo, S-B, Application of RGB UAV imagery to sea surface suspended sediment concentration monitoring in coastal construction site. Applied Ocean Research. 145, 103940. https://doi.org/10.1016/j.apor.2024.103940.


[13] Nam, S.H.,  Kwon, S., Kim., Y.D.*, Development of a basin-scale total nitrogen prediction model by integrating clustering and regression methods. Science of the Total Environment. 920, 170765. https://doi.org/10.1016/j.scitotenv.2024.170765.


2023

[12] Gwon, Y., Kwon, S.*, Kim., D., Seo, I.W., You, H., Estimation of shallow stream bathymetry under varying suspended sediment concentrations and compositions using hyperspectral imagery. Geomorphology. 433(15), 108722. https://doi.org/10.1016/j.geomorph.2023.108722


[11] Kwon, S., Noh, H., Seo, I.W.*, Park, Y.S., Effects of spectral variability due to sediment and bottom characteristics on remote sensing for suspended sediment in shallow rivers. Science of the Total Environment. 833, 155168.  https://doi.org/10.1016/j.scitotenv.2023.163125


[10] Kim, B., Seo, I.W.*, Kwon, S., Baek, D.,  Estimating Net Retention Time of Solute in Storage Zones of a Stream. Water Resources Research. 59(5). https://doi.org/10.1029/2022WR032243


[9] 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


[8] 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


[7] Kim, B., Kwon, S.*, Seo, I.W., An Explicit Solution for Characterizing Non-Fickian Solute Transport in Natural Streams. Water. 15(9), 1702. https://doi.org/10.3390/w15091702


2022

[6] Kim, B., Kwon, S., Noh, H., Seo, I.W.*, Surrogate prediction of the breakthrough curve of solute transport in rivers using its reach length dependence. Journal of Contaminant Hydrology. 249, 104024. https://doi.org/10.1016/j.jconhyd.2022.104024.


[5] 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

 

[4] 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

 

2021

[3] Kim, B., Seo, I.W.*, Kwon, S., Jung, S.H., Choi, Y., Modeling one-dimensional reactive transport of toxic contaminants in natural rivers. Environmental Modeling and Software 137, 104971. https://doi.org/10.1016/j.envsoft.2021.104971

 

[2] Kwon, S., Noh, H., Seo, I.W.*, Jung, S.H., Baek, D., Identification framework of contaminant spill in rivers using machine learning with breakthrough curve analysis. International Journal of Environmental Research and Public Health 18, 1–28. https://doi.org/10.3390/ijerph18031023

 

2020

[1] Noh, H., Kwon, S., Seo, I.W.*, Baek, D., Jung, S.H., Multi-gene genetic programming regression model for prediction of transient storage model parameters in natural rivers. Water 13, 76. https://doi.org/10.3390/w13010076



2023

[6] Kim, J., Kim, G. S., Kwon, S., Kim, Y.*, Review of applicability of Turbidity-SS relationship in hyperspectral imaging-based turbid water monitoring. Journal of Korea Water Resources Association, 56(12), 919-928. https://doi.org/10.3741/JKWRA.2023.56.12.919.


[5] Gwon, Y., Kim, D.*, Kwon, S., Riverine bathymetry survey using unmanned aerial vehicle-based multispectral image. Geo Data, 5(3), 195-206. https://doi.org/10.22761/GD.2023.0033.


2022

[4] Kim, J., Lee, S.U., Kwon, S., Chung, S.W., Kim, Y.*, 2022. Improvement of turbid water prediction accuracy using sensor-based monitoring data in Imha Dam reservoir. Journal of Korea Water Resources Association, 55(11), 931-939. 

https://doi: 10.3741/JKWRA.2022.55.11.931.

 

[3] Gwon, Y., Kim, D.*, You, H., Han, E., Kwon, S., Kim, Y., 2022. Development of tracer concentration analysis method using drone-based spatio-temporal hyperspectral image and RGB image. Journal of Korea Water Resources Association, 55(8), 623-634. https://doi.org/10.3741/JKWRA.2022.55.8.623.

 

2021

[2] Kim, B., Seo, I. W.*, Kwon, S., Jung, S. H., Yun, S. H., 2021. Analysis of solute transport in rivers using a stochastic storage model. Journal of Korea Water Resources Association, 54(5), 335-345. https://doi.org/10.3741/JKWRA.2021.54.5.335.

 

[1] Kwon, S., Seo. I. W.*, and Baek, D., 2021. Development of suspended solid concentration measurement technique based on multi-spectral satellite imagery in Nakdong River using machine learning model. Journal of Korea Water Resources Association, 54(2), 121-133. https://10.3741/JKWRA.2021.54.2.121.



Korean Patent 10-2355001: Method of estimating the spatial distribution of suspended sediment concentration from hyperspectral imagery using machine learning regression model and probabilistic clustering method.


Korean Patent 10-2210698: Method for back-tracing the source of chemical accidents by combining a machine learning model based on a river hazardous chemical spill scenario and a recursive feature elimination method.


Korean Patent 10-2189254: Method of providing pollutants transport and backtracking information through GIS-based irregular river topography characteristic analysis.