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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
201708Hydrological modeling of Fecal Indicator Bacteria in a tropical mountain catchmentKim, Minjeong; Boithias, Laurie; Cho, Kyung Hwa, et alARTICLE17 Hydrological modeling of Fecal Indicator Bacteria in a tropical mountain catchment
201701Science Walden: Exploring the Convergence of Environmental Technologies with Design and ArtLee, Hyun-Kyung; Cho, Kyung Hwa; Lee, Changsoo, et alARTICLE172 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 alARTICLE203 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 alARTICLE221 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 alARTICLE133 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 alARTICLE148 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 alARTICLE232 Finding sources and sinks of fluorescent dissolved organic matter in a riverine system using parallel factor model
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 alARTICLE238 Optimization of operating variables in a pilot-scale reverse osmosis membrane process for reclamation of tunnel construction wastewater
201606Development of enhanced groundwater arsenic prediction model using machine learning approaches in Southeast Asian countriesPark, Yongeun; Ligaray, Mayzonee; Kim, Young Mo, et alARTICLE282 Development of enhanced groundwater arsenic prediction model using machine learning approaches in Southeast Asian countries
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 alARTICLE267 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 alARTICLE321 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 alARTICLE254 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 alARTICLE425 Bayesian modeling approach for characterizing groundwater arsenic contamination in the Mekong River basin
201512Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: Experimental and modeling approachBaek, Sang-Soo; Choi, Dong-Ho; Jung, Jae-Woon, et alARTICLE237 Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: Experimental and modeling approach
201512Comparative Studies of Different Imputation Methods for Recovering Streamflow ObservationKim, Minjeong; Baek, Sangsoo; Ligaray, Mayzonee, et alARTICLE248 Comparative Studies of Different Imputation Methods for Recovering Streamflow Observation
201512Assessment on Hydrologic Response by Climate Change in the Chao Phraya River Basin, ThailandLigaray, Mayzonee; Kim, Hanna; Sthiannopkao, Suthipong, et alARTICLE231 Assessment on Hydrologic Response by Climate Change in the Chao Phraya River Basin, Thailand
201510사연호 수질 예측을 위한 2차원 수리·수질모델 구축 및 시나리오 분석Pyo, Jongcheol; Lee, Sanghyeon; Kim, Minjeong, et alARTICLE262 사연호 수질 예측을 위한 2차원 수리·수질모델 구축 및 시나리오 분석
201510공업지역의 부유물질 관리를 위한 생태저류지 설계방안Choi, Bogyeong; Lee, Jeonghoon; Sim, Hyunjun, et alARTICLE166 공업지역의 부유물질 관리를 위한 생태저류지 설계방안
201510Stressor-response modeling using the 2D water quality model and regression trees to predict chlorophyll-a in a reservoir systemPark, Yongeun; Pachepsky, Yakov A.; Cho, Kyung Hwa, et alARTICLE295 Stressor-response modeling using the 2D water quality model and regression trees to predict chlorophyll-a in a reservoir system
201510A multivariate study for characterizing particulate matter (PM10, PM2.5, and PM1) in Seoul metropolitan subway stations, KoreaKwon, Soon-Bark; Jeong, Wootae; Park, Duckshin, et alARTICLE385 A multivariate study for characterizing particulate matter (PM10, PM2.5, and PM1) in Seoul metropolitan subway stations, Korea

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