사진

  • Scopus
  • Google Citations

Cho, Kyung Hwa (조경화)

Department
Department of Urban and Environmental Engineering(도시환경공학과)
Website
http://firstkh.wixsite.com/ueeem2
Lab
Water-Environmental Informatics Lab. (물환경정보학 연구실)
Research Keywords
환경 모니터링, 환경 모델링, Water Quality Monitoring, Water Quality Modeling
Research Interests
Our Water Environment Informatics Lab has been conducting research on various topics such as remote water quality monitoring, data-based modeling, and low energy water treatment systems. We have been pioneering new research areas by combining in-depth considerations on water environment systems and various information processing technologies. In particular, by actively introducing artificial intelligence-related technologies to environmental issues, we have been conducting various analysis and prediction studies that have not been attempted before. Recent research topics are as follows.1. Water quality monitoring using hyperspectral sensors mounted on drones/aircrafts2. Development and optimization of a low-energy seawater desalination system using seawater batteries3. Water quality prediction and water treatment process optimization using deep learning techniques
This table browses all dspace content
Issue DateTitleAuthor(s)TypeViewAltmetrics
2022-02When river water meets seawater: Insights into primary marine aerosol productionPark, Jiyeon; Jang, Jiyi; Yoon, Young Jun, et alARTICLE71 When river water meets seawater: Insights into primary marine aerosol production
2022-02Analysis of micropollutants in a marine outfall using network analysis and decision treeBaek, Sang-Soo; Yun, Daeun; Pyo, JongCheol, et alARTICLE10 Analysis of micropollutants in a marine outfall using network analysis and decision tree
2021-12Modeling and evaluating performance of full-scale reverse osmosis system in industrial water treatment plantJeong, Kwanho; Son, Moon; Yoon, Nakyung, et alARTICLE101 Modeling and evaluating performance of full-scale reverse osmosis system in industrial water treatment plant
2021-12Improving the performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling methodKim, Jin Hwi; Shin, Jae-Ki; Lee, Hankyu, et alARTICLE10 Improving the performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling method
2021-12In-stream Escherichia coli modeling using high-temporal-resolution data with deep learning and process-based modelsAbbas, Ather; Baek, Sangsoo; Silvera, Norbert, et alARTICLE14 In-stream Escherichia coli modeling using high-temporal-resolution data with deep learning and process-based models
2021-11Monitoring the vertical distribution of HABs using hyperspectral imagery and deep learning modelsHong, Seok Min; Baek,Sang-Soo; Yun, Daeun, et alARTICLE83 Monitoring the vertical distribution of HABs using hyperspectral imagery and deep learning models
2021-11Application of Machine Learning for eutrophication analysis and algal bloom prediction in an urban river: A 10-year study of the Han River, South KoreaLy, Quang Viet; Nguyen, Xuan Cuong; Lê, Ngoc C., et alARTICLE70 Application of Machine Learning for eutrophication analysis and algal bloom prediction in an urban river: A 10-year study of the Han River, South Korea
2021-11Deep learning for pH prediction in water desalination using membrane capacitive deionizationSon, Moon; Yoon, Nakyung; Jeong, Kwanho, et alARTICLE80 Deep learning for pH prediction in water desalination using membrane capacitive deionization
2021-10Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning modelsJeong, Kwanho; Abbas, Ather; Shin, Jingyeong, et alARTICLE24 Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning models
2021-10Deep Learning for Simulating Harmful Algal Blooms Using Ocean Numerical ModelBaek, Sang-Soo; Pyo, JongCheol; Kwon, Yong Sung, et alARTICLE35 Deep Learning for Simulating Harmful Algal Blooms Using Ocean Numerical Model
2021-09Dual-stage attention-based LSTM for simulating performance of brackish water treatment plantYoon, Nakyung; Kim, Jihye; Lim, Jae-Lim, et alARTICLE75 Dual-stage attention-based LSTM for simulating performance of brackish water treatment plant
2021-09Simultaneous Energy Storage and Seawater Desalination using Rechargeable Seawater Battery: Feasibility and Future DirectionsSon, Moon; Park, Sanghun; Kim, Namhyeok, et alARTICLE87 Simultaneous Energy Storage and Seawater Desalination using Rechargeable Seawater Battery: Feasibility and Future Directions
2021-09Cyanobacteria cell prediction using interpretable deep learning model with observed, numerical, and sensing data assemblagePyo, JongCheol; Cho, Kyung Hwa; Kim, Kyunghyun, et alARTICLE55 Cyanobacteria cell prediction using interpretable deep learning model with observed, numerical, and sensing data assemblage
2021-09Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality modelsPyo, JongCheol; Kwon, Yong Sung; Min, Joong-Hyuk, et alARTICLE65 Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality models
2021-08Pharmaceutical removal at low energy consumption using membrane capacitive deionizationSon, Moon; Jeong, Kwanho; Yoon, Nakyung, et alARTICLE67 Pharmaceutical removal at low energy consumption using membrane capacitive deionization
2021-08Changes in adsorption mechanisms of radioactive barium, cobalt, and strontium ions using spent coffee waste biochars via alkaline chemical activation: Enrichment effects of O-containing functional groupsShin, Jaegwan; Kwak, Jinwoo; Lee, Yong-Gu, et alARTICLE53 Changes in adsorption mechanisms of radioactive barium, cobalt, and strontium ions using spent coffee waste biochars via alkaline chemical activation: Enrichment effects of O-containing functional groups
2021-07Developing a cloud-based toolbox for sensitivity analysis of a water quality modelKim, Soobin; Kwon, Yong Sung; Pyo, JongCheol, et alARTICLE93 Developing a cloud-based toolbox for sensitivity analysis of a water quality model
2021-07Evaluating an on-line cleaning agent for mitigating organic fouling in a reverse osmosis membranePark, Sanghun; Hong, Seok Min; Park, Jongkwan, et alARTICLE76 Evaluating an on-line cleaning agent for mitigating organic fouling in a reverse osmosis membrane
2021-06Investigating the influence of catholyte salinity on seawater battery desalinationPark, Sanghun; Ligaray, Mayzonee; Kim, Youngsik, et alARTICLE162 Investigating the influence of catholyte salinity on seawater battery desalination
2021-06Deep learning model for simulating influence of natural organic matter in nanofiltrationShim, Jaegyu; Park, Sanghun; Cho, Kyung HwaARTICLE90 Deep learning model for simulating influence of natural organic matter in nanofiltration

MENU