BROWSE

사진

  • Scopus
  • Google Citations

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)
Website
http://firstkh.wixsite.com/ueeem2
This table browses all dspace content
Issue DateTitleAuthor(s)TypeViewAltmetrics
201903Evaluating the influence of climate change on the fate and transport of fecal coliform bacteria using the modified SWAT modelJeon, Dong Jin; Ligaray, Mayzonee; Kim, Minjeong, et alARTICLE64 Evaluating the influence of climate change on the fate and transport of fecal coliform bacteria using the modified SWAT model
201902Evaluating membrane fouling potentials of dissolved organic matter in brackish waterPark, Sunghun; Nam, Taewoo; You, Jeongyeop, et alARTICLE42 Evaluating membrane fouling potentials of dissolved organic matter in brackish water
201811Evaluation of fouling in nanofiltration for desalination using a resistance-in-series model and optical coherence tomographyPark, Jongkwan; Lee, Sungyun; You, Jeongyeop, et alARTICLE82 Evaluation of fouling in nanofiltration for desalination using a resistance-in-series model and optical coherence tomography
201809Microbial Water Quality: Monitoring and ModelingPachepsky, Y. A.; Allende, A.; Boithias, L., et alARTICLE50 Microbial Water Quality: Monitoring and Modeling
201809Seasonal Changes in Antibiotic Resistance Genes in Rivers and Reservoirs in South KoreaSon, Dae-ik; Aleta, Prince; Park, Minseung, et alARTICLE39 Seasonal Changes in Antibiotic Resistance Genes in Rivers and Reservoirs in South Korea
201809Development of a Nowcasting System Using Machine Learning Approaches to Predict Fecal Contamination Levels at Recreational Beaches in KoreaPark, Yongeun; Kim, Minjeong; Pachepsky, Yakov, et alARTICLE102 Development of a Nowcasting System Using Machine Learning Approaches to Predict Fecal Contamination Levels at Recreational Beaches in Korea
201809Modeling the Impact of Land Use Change on Basin-scale Transfer of Fecal Indicator Bacteria: SWAT Model PerformanceKim, Minjeong; Boithias, Laurie; Cho, Kyung Hwa, et alARTICLE43 Modeling the Impact of Land Use Change on Basin-scale Transfer of Fecal Indicator Bacteria: SWAT Model Performance
201809Sorption of pharmaceuticals to soil organic matter in a constructed wetland by electrostatic interactionPark, Jongkwan; Cho, Kyung Hwa; Lee, Eunkyung, et alARTICLE366 Sorption of pharmaceuticals to soil organic matter in a constructed wetland by electrostatic interaction
201808Monitoring Coastal Chlorophyll-a Concentrations in Coastal Areas Using Machine Learning ModelsKwon, Yong Sung; Baek, Seung Ho; Lim, Young Kyun, et alARTICLE52 Monitoring Coastal Chlorophyll-a Concentrations in Coastal Areas Using Machine Learning Models
201808High-Spatial Resolution Monitoring of Phycocyanin and Chlorophyll-a Using Airborne Hyperspectral ImageryPyo, Jong Cheol; Ligaray, Mayzonee; Kwon, Yong Sung, et alARTICLE51 High-Spatial Resolution Monitoring of Phycocyanin and Chlorophyll-a Using Airborne Hyperspectral Imagery
201804Modeling trihalomethanes concentrations in water treatment plants using machine learning techniquesPark, Jongkwan; Lee, Chan Ho; Cho, Kyung Hwa, et alARTICLE47 Modeling trihalomethanes concentrations in water treatment plants using machine learning techniques
201802Evaluating the effects of organic matter bioavailability on nanofiltration membrane using real-time monitoringPark, Sanghun; You, Jeongyeop; Ahn, Yujin, et alARTICLE289 Evaluating the effects of organic matter bioavailability on nanofiltration membrane using real-time monitoring
201801Developing data-driven models for quantifying Cochlodinium polykrikoides using the Geostationary Ocean Color Imager (GOCI)Kwon, Yong Sung; Jang, Eunna; Im, Jungho, et alARTICLE340 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 alARTICLE636 Predicting PM10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN)
201712Optimizing Agricultural Best Management Practices in a Lake Erie WatershedPho, Jongcheol; Baek, Sang-Soo; Kim, Minjeong, et alARTICLE204 Optimizing Agricultural Best Management Practices in a Lake Erie Watershed
201712Evaluating Physico-Chemical Influences on Cyanobacterial Blooms using Hyperspectral Images in an Inland Water, KoreaPark, Yongeun; Pyo, JongCheol; Kown, Yong Sung, et alARTICLE290 Evaluating Physico-Chemical Influences on Cyanobacterial Blooms using Hyperspectral Images in an Inland Water, Korea
201711Simulating seasonal variability of phytoplankton in stream water using the modified SWAT modelPyo, JongCheol; Pachepsky, Yakov A.; Kim, Minjeong, et alARTICLE81 Simulating seasonal variability of phytoplankton in stream water using the modified SWAT model
201711The relative importance of water temperature and residence time in predicting cyanobacteria abundance in regulated riversCha, YoonKyung; Cho, Kyung Hwa; Lee, Hyuk, et alARTICLE236 The relative importance of water temperature and residence time in predicting cyanobacteria abundance in regulated rivers
201711Developing a hydrological simulation tool to design bioretention in a watershedBaek, Sang-Soo; Ligaray, Mayzonee; Park, Jong-Pyo, et alARTICLE78 Developing a hydrological simulation tool to design bioretention in a watershed
201710Investigating the influence of organic matter composition on biofilm volumes in reverse osmosis using optical coherence tomographyPark, Sanghun; Nam, Taewoo; Park, Jongkwan, et alARTICLE322 Investigating the influence of organic matter composition on biofilm volumes in reverse osmosis using optical coherence tomography

MENU