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Manho Park
Manho Park
illinois.edu의 이메일 확인됨 - 홈페이지
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Removal of aqueous-phase Pb (II), Cd (II), As (III), and As (V) by nanoscale zero-valent iron supported on exhausted coffee grounds
MH Park, S Jeong, G Lee, H Park, JY Kim
Waste management 92, 49-58, 2019
622019
Adsorption of NH3-N onto rice straw-derived biochar
MH Park, S Jeong, JY Kim
Journal of Environmental Chemical Engineering 7 (2), 103039, 2019
582019
Innovation of flux chamber network design for surface methane emission from landfills using spatial interpolation models
S Jeong, J Park, YM Kim, MH Park, JY Kim
Science of the total environment 688, 18-25, 2019
232019
Evaluation of error inducing factors in unmanned aerial vehicle mounted detector to measure fugitive methane from solid waste landfill
YM Kim, MH Park, S Jeong, KH Lee, JY Kim
Waste Management 124, 368-376, 2021
202021
Bayesian approach in estimating flood waste generation: A case study in South Korea
MH Park, M Ju, JY Kim
Journal of environmental management 265, 110552, 2020
122020
Valorization of petroleum refinery oil sludges via anaerobic co-digestion with food waste and swine manure
C Lee, S Kim, MH Park, YS Lee, C Lee, S Lee, J Yang, JY Kim
Journal of Environmental Management 307, 114562, 2022
112022
Incorporating interaction terms in multivariate linear regression for post-event flood waste estimation
MH Park, M Ju, S Jeong, JY Kim
Waste Management 124, 377-384, 2021
102021
Oxidation resistance of nanoscale zero-valent iron supported on exhausted coffee grounds
MH Park, J Lee, JY Kim
Chemosphere 234, 179-186, 2019
72019
Adsorption of lead and cadmium from wastewater utilizing nano zero valent iron supported by coffee ground
MH Park, GR Lee, HS Park, SJ Jeong, JY Kim
J. Korean Soc. Envirom. Eng 40 (2), 82-90, 2018
72018
Feature extraction and prediction of fine particulate matter (PM2. 5) chemical constituents using four machine learning models
YS Lee, E Choi, M Park, H Jo, M Park, E Nam, SM Yi, JY Kim
Expert Systems with Applications 221, 119696, 2023
62023
Data stratification toward advanced flood waste estimation: A case study in South Korea
MH Park, M Ju, YH Cho, JY Kim
Waste Management 114, 215-224, 2020
42020
Development of regional flood debris estimation model utilizing data of disaster annual report: Case study on Ulsan City
MH Park, H Kim, M Ju, HJ Kim, JY Kim
Journal of Korea Society of Waste Management 35 (8), 777-784, 2018
42018
Learned 1-D passive scalar advection to accelerate chemical transport modeling: a case study with GEOS-FP horizontal wind fields
M Park, Z Zheng, N Riemer, CW Tessum
arXiv preprint arXiv:2309.11035, 2023
2023
Towards Machine-Learned Acceleration for Passive Scalar Advection: Model Description and Validation in 1-D
M Park, Z Zheng, N Riemer, C Tessum
103rd AMS Annual Meeting, 2023
2023
Learned 1-D advection solver to accelerate air quality modeling
M Park, Z Zheng, N Riemer, CW Tessum
arXiv preprint arXiv:2211.03906, 2022
2022
A study on development of models estimating the amount of flood waste
박만호
서울대학교 대학원, 2020
2020
우드칩 필터를 이용한 음식물쓰레기 디스포저 오수의 처리
이수영, 박만호, 김재영
한국폐기물자원순환학회지 36 (5), 444-451, 2019
2019
재해연보 자료를 이용한 지역 단위 수해폐기물 발생량 예측 모형 개발: 울산광역시 사례 연구
박만호, 김호남, 주문솔, 김희종, 김재영
한국폐기물자원순환학회지 35 (8), 777-784, 2018
2018
Machine-learned Advection Operator to Accelerate Air Quality Modeling
M Park, Z Zheng, N Riemer, C Tessum
AGU23, 0
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