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Cho, Kyung Hwa (조경화)

Department
School of Urban and Environmental Engineering(도시환경공학부)
Research Interests
Water Quality Monitoring and Modeling, Water Treatment Process Modeling
Lab
Environmental Monitoring and Modeling Lab (EM2)
E-Mail
khcho@unist.ac.kr
Website
http://firstkh.wixsite.com/ueeem2
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Issue DateTitleAuthor(s)TypeViewAltmetrics
201801Developing data-driven models for quantifying Cochlodinium polykrikoides using the Geostationary Ocean Color Imager (GOCI)Kwon, Yong Sung; Jang, Eunna; Im, Jungho, et alARTICLE2 Developing data-driven models for quantifying Cochlodinium polykrikoides using the Geostationary Ocean Color Imager (GOCI)
201801Predicting PM10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN)Park, Sechan; Kim, Minjeong; Kim, Mihae, et alARTICLE138 Predicting PM10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN)
201712Evaluating Physico-Chemical Influences on Cyanobacterial Blooms using Hyperspectral Images in an Inland Water, KoreaPark, Yongeun; Pyo, JongCheol; Kown, Yong Sung, et alARTICLE2 Evaluating Physico-Chemical Influences on Cyanobacterial Blooms using Hyperspectral Images in an Inland Water, Korea
201711The relative importance of water temperature and residence time in predicting cyanobacteria abundance in regulated riversCha, YoonKyung; Cho, Kyung Hwa; Lee, Hyuk, et alARTICLE33 The relative importance of water temperature and residence time in predicting cyanobacteria abundance in regulated rivers
201710Investigating the influence of organic matter composition on biofilm volumes in reverse osmosis using optical coherence tomographyPark, Sanghun; Nam, Taewoo; Park, Jongkwan, et alARTICLE53 Investigating the influence of organic matter composition on biofilm volumes in reverse osmosis using optical coherence tomography
201708Hydrological modeling of Fecal Indicator Bacteria in a tropical mountain catchmentKim, Minjeong; Boithias, Laurie; Cho, Kyung Hwa, et alARTICLE88 Hydrological modeling of Fecal Indicator Bacteria in a tropical mountain catchment
201706Modeling the Fate and Transport of Malathion in the Pagsanjan-Lumban Basin, PhilippinesLigaray, Mayzonee; Kim, Minjeong; Baek, Sangsoo, et alARTICLE44 Modeling the Fate and Transport of Malathion in the Pagsanjan-Lumban Basin, Philippines
201705Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in KoreaPyo, JongCheol; Pachepsky, Yakov; Baek, Sang-Soo, et alARTICLE39 Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea
201701Science Walden: Exploring the Convergence of Environmental Technologies with Design and ArtLee, Hyun-Kyung; Cho, Kyung Hwa; Lee, Changsoo, et alARTICLE249 Science Walden: Exploring the Convergence of Environmental Technologies with Design and Art
201612Watershed-scale modeling on the fate and transport of polycyclic aromatic hydrocarbons (PAHs)Ligaray, Mayzonee; Baek. Sang Soo; Kwon, Hye-Ok, et alARTICLE269 Watershed-scale modeling on the fate and transport of polycyclic aromatic hydrocarbons (PAHs)
201610Fluxes of nutrients and trace metals across the sediment-water interface controlled by sediment-capping agents: bentonite and sandHan, Junho; Ro, Hee-Myong; Cho, Kyung Hwa, et alARTICLE271 Fluxes of nutrients and trace metals across the sediment-water interface controlled by sediment-capping agents: bentonite and sand
201609Modeling Spatiotemporal Bacterial Variability with Meteorological and Watershed Land-use CharacteristicsCha, YoonKyung; Park, Mi-Hyun; Lee, Sang-Hyup, et alARTICLE171 Modeling Spatiotemporal Bacterial Variability with Meteorological and Watershed Land-use Characteristics
201609Modeling fate and transport of fecally-derived microorganisms at the watershed scale: State of the science and future opportunitiesCho, Kyung Hwa; Pachepsky, Yakov A.; Oliver, David M., et alARTICLE220 Modeling fate and transport of fecally-derived microorganisms at the watershed scale: State of the science and future opportunities
201608Finding sources and sinks of fluorescent dissolved organic matter in a riverine system using parallel factor modelDin, Aamir Alaud; Park, Yongeun; Lee, Seung Won, et alARTICLE269 Finding sources and sinks of fluorescent dissolved organic matter in a riverine system using parallel factor model
201606Development of enhanced groundwater arsenic prediction model using machine learning approaches in Southeast Asian countriesPark, Yongeun; Ligaray, Mayzonee; Kim, Young Mo, et alARTICLE325 Development of enhanced groundwater arsenic prediction model using machine learning approaches in Southeast Asian countries
201606Optimization of operating variables in a pilot-scale reverse osmosis membrane process for reclamation of tunnel construction wastewaterCho, Hyun Uk; Cho, Kyung Hwa; Kang, Seokkoo, et alARTICLE276 Optimization of operating variables in a pilot-scale reverse osmosis membrane process for reclamation of tunnel construction wastewater
201605Determination of best management timing of nonpoint source pollutants using particle bins and dimensionless time in a single stormwater runoff eventCho, Kyung Hwa; Cha, Sung Min; Lee, Seung Won, et alARTICLE306 Determination of best management timing of nonpoint source pollutants using particle bins and dimensionless time in a single stormwater runoff event
201604Modeling seasonal variability of fecal coliform in natural surface waters using the modified SWATCho, Kyung Hwa; Pachepsky, Yakov A.; Kim, Minjeong, et alARTICLE367 Modeling seasonal variability of fecal coliform in natural surface waters using the modified SWAT
201602Chlorophyll-a concentration estimation using three difference bio-optical algorithms, including a correction for the low-concentration range: the case of the Yiam reservoir, KoreaPyo, JongCheol; Ha, SeongHyeon; Yakov A. Pachepsky, et alARTICLE302 Chlorophyll-a concentration estimation using three difference bio-optical algorithms, including a correction for the low-concentration range: the case of the Yiam reservoir, Korea
201601Bayesian modeling approach for characterizing groundwater arsenic contamination in the Mekong River basinCha, YoonKyung; Kim, Young Mo; Choi, Jae-Woo, et alARTICLE461 Bayesian modeling approach for characterizing groundwater arsenic contamination in the Mekong River basin

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