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Cho, Kyung Hwa (조경화)

Department: Department of Urban and Environmental Engineering(도시환경공학과)

Website: http://firstkh.wixsite.com/ueeem2

Lab: Environmental Monitoring and Modeling Lab. (환경 모니터링 및 모델링 연구실)

Research Keywords: 환경 모니터링, 환경 모델링, Water Quality Monitoring, Water Quality Modeling

Research Interests: 1. Environmental Monitoring- Harmful algal bloom monitoring with hyperspectral remote sensing- Biofilm monitoring with OCT device2. Environmental Modeling- Chemical transport model for chemical accidents- Low Impact Development optimizing model- Harmful algal bloom prediction using hydrodynamic model- Deep learning based modeling of biofilm

This table browses all dspace content
Issue Date	Title	Author(s)	Type	View	Altmetrics
2021-06	Investigating the influence of catholyte salinity on seawater battery desalination	Park, Sanghun; Ligaray, Mayzonee; Kim, Youngsik, et al	ARTICLE	19	Investigating the influence of catholyte salinity on seawater battery desalination
2021-05	Designing a marine outfall to reduce microbial risk on a recreational beach: Field experiment and modeling	Kim, Minjeong; Ligaray, Mayzonee; Kwon, Yong Sung, et al	ARTICLE	10	Designing a marine outfall to reduce microbial risk on a recreational beach: Field experiment and modeling
2021-03	Effects of NaOH Activation on Adsorptive Removal of Herbicides by Biochars Prepared from Ground Coffee Residues	Lee, Yong-Gu; Shin, Jaegwan; Kwak, Jinwoo, et al	ARTICLE	26	Effects of NaOH Activation on Adsorptive Removal of Herbicides by Biochars Prepared from Ground Coffee Residues
2021-02	3D printed honeycomb-shaped feed channel spacer for membrane fouling mitigation in nanofiltration	Park, Sanghun; Jeong, Young Dal; Lee, Jae Hwa, et al	ARTICLE	53	3D printed honeycomb-shaped feed channel spacer for membrane fouling mitigation in nanofiltration
2021-02	Hydrometeorological Influence on Antibiotic-Resistance Genes (ARGs) and Bacterial Community at a Recreational Beach in Korea	Jang, Jiyi; Kim, Minjeong; Baek, Sangsoo, et al	ARTICLE	28	Hydrometeorological Influence on Antibiotic-Resistance Genes (ARGs) and Bacterial Community at a Recreational Beach in Korea
2021-02	Influence of natural organic matter on membrane capacitive deionization performance	Shim, Jaegyu; Yoon, Nakyung; Park, Sanghun, et al	ARTICLE	32	Influence of natural organic matter on membrane capacitive deionization performance
2021-02	Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water	Pyo, JongCheol; Kwon, Yong Sung; Ahn, Jae-Hyun, et al	ARTICLE	8	Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water
2021-01	Replacing the internal standard to estimate micropollutants using deep and machine learning	Baek, Sang-Soo; Choi, Younghun; Jeon, Junho, et al	ARTICLE	28	Replacing the internal standard to estimate micropollutants using deep and machine learning
2020-12	Compartmentalized desalination and salination by high energy density desalination seawater battery	Kim, Namhyeok; Park, Jeong-Sun; Harzandi, Ahmad Mosen, et al	ARTICLE	121	Compartmentalized desalination and salination by high energy density desalination seawater battery
2020-12	수 환경 분야에서의 딥러닝 모델 적용사례	표종철; 박상훈; 조경화, et al	ARTICLE	10
2020-11	Optimization of a nanofiltration and membrane capacitive deionization (NF-MCDI) hybrid system: Experimental and modeling studies	Jeong, Kwanho; Yoon, Nakyung; Park, Sanghun, et al	ARTICLE	80	Optimization of a nanofiltration and membrane capacitive deionization (NF-MCDI) hybrid system: Experimental and modeling studies
2020-11	Estimation of heavy metals using deep neural network with visible and infrared spectroscopy of soil	Pyo, JongCheol; Hong, Seok Min; Kwon, Yong Sung, et al	ARTICLE	72	Estimation of heavy metals using deep neural network with visible and infrared spectroscopy of soil
2020-11	Data assimilation in surface water quality modeling: A review	Cho, Kyung Hwa; Pachepsky, Yakov; Ligaray, Mayzonee, et al	ARTICLE	34	Data assimilation in surface water quality modeling: A review
2020-11	Using convolutional neural network for predicting cyanobacteria concentrations in river water	Pyo, JongCheol; Park, Lan Joo; Pachepsky, Yakov, et al	ARTICLE	40	Using convolutional neural network for predicting cyanobacteria concentrations in river water
2020-11	Surface and sub-surface flow estimation at high temporal resolution using deep neural networks	Abbas, Ather; Baek, Sangsoo; Kim, Minjeong, et al	ARTICLE	68	Surface and sub-surface flow estimation at high temporal resolution using deep neural networks
2020-10	Coupling of the AQUATOX and EFDC Models for Ecological Impact Assessment of Chemical Spill Scenarios in the Jeonju River, Korea	Yeom, Jaehoon; Kim, Injeong; Kim, Minjeong, et al	ARTICLE	90	Coupling of the AQUATOX and EFDC Models for Ecological Impact Assessment of Chemical Spill Scenarios in the Jeonju River, Korea
2020-10	Membrane and Electrochemical Processes for Water Desalination: A Short Perspective and the Role of Nanotechnology	Son, Moon; Cho, Kyung Hwa; Jeong, Kwanho, et al	ARTICLE	76	Membrane and Electrochemical Processes for Water Desalination: A Short Perspective and the Role of Nanotechnology
2020-09	Energy projection of the seawater battery desalination system using the reverse osmosis system analysis model	Ligaray, Mayzonee; Kim, NamHyeok; Park, Sanghun, et al	ARTICLE	268	Energy projection of the seawater battery desalination system using the reverse osmosis system analysis model
2020-08	Identification and enumeration of cyanobacteria species using a deep neural network	Baek, Sang-Soo; Pyo, JongCheol; Pachepsky, Yakov, et al	ARTICLE	174	Identification and enumeration of cyanobacteria species using a deep neural network
2020-07	A novel water quality module of the SWMM model for assessing Low Impact Development (LID) in Urban watersheds	Baek, Sang-Soo; Ligaray, Mayzonee; Pyo, Jongcheol, et al	ARTICLE	250	A novel water quality module of the SWMM model for assessing Low Impact Development (LID) in Urban watersheds

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