조경화 교수
Cho, Kyunghwa
고려대학교 건축사회환경공학부 · 환경과학
연구실 소개
조경화 교수의 연구실은 환경 미생물학과 수문학 모델링을 융합하여 수질 오염의 원인인 대장균 등 병원성 미생물의 수문지역 내 이동과 생존을 예측하는 데 초점을 맞추고 있습니다. 특히 강우 및 기상 조건, 농업 및 도시 환경 관리 방식이 수질 오염에 미치는 영향을 수리모델링을 통해 분석하며, 지속 가능한 수자원 관리를 위한 과학적 근거를 제공합니다. 최근에는 암세포의 전이 메커니즘을 규명하는 분자 생물학적 연구도 병행하고 있습니다.
수문지역 모델링환경 미생물수질 오염 예측전이성 암세포ROS/STAT3 신호 경로
연구 현황
논문 수
323
총 인용 수
10,222
최근 5년 논문
124
주요 분야
환경과학
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
5개년 연도별 논문 게재 수
124총합
2022
2023
2024
2025
2026
5개년 연도별 피인용 수
2,473총합
20222023202420252026
주요 논문
151
논문|인용수 303·2015
Prediction of effluent concentration in a wastewater treatment plant using machine learning modelsHong Guo, Kwanho Jeong, Jiyeon Lim, Jeongwon Jo, Young Mo Kim, Jong-pyo Park, Joon Ha Kim, Kyung Hwa Cho
SJR Q1Journal of Environmental SciencesOA
Environmental EngineeringEnvironmental Science
2
논문|인용수 251·2015
Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: Experimental and modeling approachSang‐Soo Baek, Dongho Choi, Jae‐Woon Jung, Hyung‐Jin Lee, Hyuk Lee, Kwang‐Sik Yoon, Kyung Hwa Cho
SJR Q1Water ResearchOA
Environmental EngineeringEnvironmental Science
3
논문|인용수 190·2023
Machine-learning-based prediction and optimization of emerging contaminants' adsorption capacity on biochar materialsZeeshan Haider Jaffari, Heewon Jeong, Jaegwan Shin, Jinwoo Kwak, Changgil Son, Yong-Gu Lee, Sang-Won Kim, Kangmin Chon, Kyung Hwa Cho
SJR Q1Chemical Engineering Journal
Water Science and TechnologyEnvironmental Science
4
논문|인용수 178·2020
Estimation of heavy metals using deep neural network with visible and infrared spectroscopy of soilJongCheol Pyo, Seok Min Hong, Yong Sung Kwon, Moon S. Kim, Kyung Hwa Cho
SJR Q1The Science of The Total EnvironmentOA
Analytical ChemistryChemistry
5
논문|인용수 172·2017
Predicting PM10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN)Sechan Park, Minjeong Kim, Minhae Kim, Hyeong-Gyu Namgung, Ki‐Tae Kim, Kyung Hwa Cho, Soon-Bark Kwon
SJR Q1Journal of Hazardous Materials
Environmental EngineeringEnvironmental Science
6
논문|인용수 171·2019
A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imageryJongCheol Pyo, Hongtao Duan, Sang‐Soo Baek, Moon S. Kim, Taegyun Jeon, Yong Sung Kwon, Hyuk Lee, Kyung Hwa Cho
SJR Q1Remote Sensing of Environment
Industrial and Manufacturing EngineeringEnvironmental Science
7
논문|인용수 145·2011
Prediction of contamination potential of groundwater arsenic in Cambodia, Laos, and Thailand using artificial neural networkKyung Hwa Cho, Suthipong Sthiannopkao, Yakov Pachepsky, Kyoung‐Woong Kim, Joon Ha Kim
SJR Q1Water Research
Environmental ChemistryEnvironmental Science
8
리뷰|인용수 143·2016
Modeling fate and transport of fecally-derived microorganisms at the watershed scale: State of the science and future opportunitiesKyung Hwa Cho, Yakov Pachepsky, David M. Oliver, Richard Muirhead, Yongeun Park, Richard S. Quilliam, Daniel R. Shelton
SJR Q1Water ResearchOA
Natural waters serve as habitat for a wide range of microorganisms, a proportion of which may be derived from fecal material. A number of watershed models have been developed to understand and predict the fate and transport of fecal microorganisms within complex watersheds, as well as to determine whether microbial water quality standards can be satisfied under site-specific meteorological and/or management conditions. The aim of this review is to highlight and critically evaluate developments i
Water Science and TechnologyEnvironmental Science
9
논문|인용수 129·2022
Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite greenZeeshan Haider Jaffari, Ather Abbas, Sze–Mun Lam, Sanghun Park, Kangmin Chon, Eun-Sik Kim, Kyung Hwa Cho
SJR Q1Journal of Hazardous Materials
Renewable Energy, Sustainability and the EnvironmentEnergy
10
논문|인용수 122·2020
A novel water quality module of the SWMM model for assessing low impact development (LID) in urban watershedsSang‐Soo Baek, Mayzonee Ligaray, JongCheol Pyo, Jong-Pyo Park, Joo‐Hyon Kang, Yakov Pachepsky, Jong Ahn Chun, Kyung Hwa Cho
SJR Q1Journal of Hydrology
Environmental EngineeringEnvironmental Science
11
논문|인용수 118·2013
STAT3 mediates TGF-β1-induced TWIST1 expression and prostate cancer invasionKyung Hwa Cho, Kang Jin Jeong, Shang Cheul Shin, Jaeku Kang, Chang Gyo Park, Hoi Young Lee
SJR Q1Cancer Letters
Molecular BiologyBiochemistry, Genetics and Molecular Biology
12
논문|인용수 117·2010
Release of Escherichia coli from the bottom sediment in a first-order creek: Experiment and reach-specific modelingKyung Hwa Cho, Yakov Pachepsky, Joon Ha Kim, Andrey Guber, Daniel R. Shelton, R. Rowland
SJR Q1Journal of Hydrology
Water Science and TechnologyEnvironmental Science
13
논문|인용수 115·2020
Using convolutional neural network for predicting cyanobacteria concentrations in river waterJongCheol Pyo, Lan Joo Park, Yakov Pachepsky, Sang‐Soo Baek, Kyunghyun Kim, Kyung Hwa Cho
SJR Q1Water Research
Water Science and TechnologyEnvironmental Science
14
논문|인용수 111·2015
A multivariate study for characterizing particulate matter (PM10, PM2.5, and PM1) in Seoul metropolitan subway stations, KoreaSoon-Bark Kwon, Wootae Jeong, Duckshin Park, Ki‐Tae Kim, Kyung Hwa Cho
SJR Q1Journal of Hazardous MaterialsOA
Health, Toxicology and MutagenesisEnvironmental Science
15
논문|인용수 105·2021
Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning modelsKwanho Jeong, Ather Abbas, Jingyeong Shin, Moon Son, Young Mo Kim, Kyung Hwa Cho
SJR Q1Water Research
Electrical and Electronic EngineeringEngineering
대표 연구 분야
Water Science and TechnologyEnvironmental EngineeringBiomedical EngineeringOceanographyPollutionEnvironmental Chemistry
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