사진

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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)
Website
http://firstkh.wixsite.com/ueeem2
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Issue DateTitleAuthor(s)TypeViewAltmetrics
2018-09Seasonal Changes in Antibiotic Resistance Genes in Rivers and Reservoirs in South KoreaSon, Dae-ik; Aleta, Prince; Park, Minseung, et alARTICLE220 Seasonal Changes in Antibiotic Resistance Genes in Rivers and Reservoirs in South Korea
2018-09Microbial Water Quality: Monitoring and ModelingPachepsky, Y. A.; Allende, A.; Boithias, L., et alARTICLE199 Microbial Water Quality: Monitoring and Modeling
2018-08High-Spatial Resolution Monitoring of Phycocyanin and Chlorophyll-a Using Airborne Hyperspectral ImageryPyo, Jong Cheol; Ligaray, Mayzonee; Kwon, Yong Sung, et alARTICLE265 High-Spatial Resolution Monitoring of Phycocyanin and Chlorophyll-a Using Airborne Hyperspectral Imagery
2018-08Monitoring Coastal Chlorophyll-a Concentrations in Coastal Areas Using Machine Learning ModelsKwon, Yong Sung; Baek, Seung Ho; Lim, Young Kyun, et alARTICLE251 Monitoring Coastal Chlorophyll-a Concentrations in Coastal Areas Using Machine Learning Models
2018-04Modeling trihalomethanes concentrations in water treatment plants using machine learning techniquesPark, Jongkwan; Lee, Chan Ho; Cho, Kyung Hwa, et alARTICLE239 Modeling trihalomethanes concentrations in water treatment plants using machine learning techniques
2018-02Evaluating the effects of organic matter bioavailability on nanofiltration membrane using real-time monitoringPark, Sanghun; You, Jeongyeop; Ahn, Yujin, et alARTICLE536 Evaluating the effects of organic matter bioavailability on nanofiltration membrane using real-time monitoring
2018-01Predicting PM10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN)Park, Sechan; Kim, Minjeong; Kim, Mihae, et alARTICLE908 Predicting PM10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN)
2018-01Developing data-driven models for quantifying Cochlodinium polykrikoides using the Geostationary Ocean Color Imager (GOCI)Kwon, Yong Sung; Jang, Eunna; Im, Jungho, et alARTICLE587 Developing data-driven models for quantifying Cochlodinium polykrikoides using the Geostationary Ocean Color Imager (GOCI)
2017-12Evaluating Physico-Chemical Influences on Cyanobacterial Blooms using Hyperspectral Images in an Inland Water, KoreaPark, Yongeun; Pyo, JongCheol; Kown, Yong Sung, et alARTICLE545 Evaluating Physico-Chemical Influences on Cyanobacterial Blooms using Hyperspectral Images in an Inland Water, Korea
2017-12Optimizing Agricultural Best Management Practices in a Lake Erie WatershedPho, Jongcheol; Baek, Sang-Soo; Kim, Minjeong, et alARTICLE452 Optimizing Agricultural Best Management Practices in a Lake Erie Watershed
2017-11The relative importance of water temperature and residence time in predicting cyanobacteria abundance in regulated riversCha, YoonKyung; Cho, Kyung Hwa; Lee, Hyuk, et alARTICLE439 The relative importance of water temperature and residence time in predicting cyanobacteria abundance in regulated rivers
2017-10Investigating the influence of organic matter composition on biofilm volumes in reverse osmosis using optical coherence tomographyPark, Sanghun; Nam, Taewoo; Park, Jongkwan, et alARTICLE606 Investigating the influence of organic matter composition on biofilm volumes in reverse osmosis using optical coherence tomography
2017-08Hydrological modeling of Fecal Indicator Bacteria in a tropical mountain catchmentKim, Minjeong; Boithias, Laurie; Cho, Kyung Hwa, et alARTICLE607 Hydrological modeling of Fecal Indicator Bacteria in a tropical mountain catchment
2017-08Assessing the efficiency of aggregate low impact development (LID) at a small urbanized sub-catchment under different storm scenariosJeon, Dong Jin; Ki, Seo Jin; Baek, Sang-Soo, et alARTICLE580 Assessing the efficiency of aggregate low impact development (LID) at a small urbanized sub-catchment under different storm scenarios
2017-06Modeling the Fate and Transport of Malathion in the Pagsanjan-Lumban Basin, PhilippinesLigaray, Mayzonee; Kim, Minjeong; Baek, Sangsoo, et alARTICLE456 Modeling the Fate and Transport of Malathion in the Pagsanjan-Lumban Basin, Philippines
2017-06Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in KoreaPyo, JongCheol; Pachepsky, Yakov; Baek, Sang-Soo, et alARTICLE362 Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea
2017-01Science Walden: Exploring the Convergence of Environmental Technologies with Design and ArtLee, Hyun-Kyung; Cho, Kyung Hwa; Lee, Changsoo, et alARTICLE1046 Science Walden: Exploring the Convergence of Environmental Technologies with Design and Art
2016-12Watershed-scale modeling on the fate and transport of polycyclic aromatic hydrocarbons (PAHs)Ligaray, Mayzonee; Baek. Sang Soo; Kwon, Hye-Ok, et alARTICLE705 Watershed-scale modeling on the fate and transport of polycyclic aromatic hydrocarbons (PAHs)
2016-10Fluxes 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 alARTICLE606 Fluxes of nutrients and trace metals across the sediment-water interface controlled by sediment-capping agents: bentonite and sand
2016-09Modeling 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 alARTICLE597 Modeling fate and transport of fecally-derived microorganisms at the watershed scale: State of the science and future opportunities

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