| 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; Park, Jong-Pyo; Kang, Joo-Hyon; Pachepsky, Yakov; Chun, Jong Ahn; Cho, Kyung Hwa | ARTICLE | 177 |
| 2020-05 | Assessment of a green roof practice using the coupled SWMM and HYDRUS models | Baek, SangSoo; Ligaray, Mayzonee; Pachepsky, Yakov; Chun, Jong Ahn; Yoon, Kwang-Sik; Park, Yongeun; Cho, Kyung Hwa | ARTICLE | 124 |
| 2017-11-17 | Chlorophyll-a and Phycocyanin estimation with optimization of bio-optical algorithm in inland waters in Korea | Pyo, JongCheol; Pachepsky, Yakov; Baek, Sang Soo; Kwon, YongSeong; Kim, MinJeong; Lee, Hyuck; Park, Sanghyun; Cha, YoonKyung; Ha, Rim; Nam, Gibeom; Park, Yongeun; Cho, Kyung Hwa | CONFERENCE | 33 |
| 2020-11 | Data assimilation in surface water quality modeling: A review | Cho, Kyung Hwa; Pachepsky, Yakov; Ligaray, Mayzonee; Kwon, Yongsung; Kim, Kyung Hyun | ARTICLE | 14 |
| 2019-10 | Deep neural networks for modeling fouling growth and flux decline during NF/RO membrane filtration | Park, Sanghun; Baek, Sang-Soo; Pyo, JongCheol; Pachepsky, Yakov; Park, Jongkwan; Cho, Kyung Hwa | ARTICLE | 393 |
| 2017-11-17 | Developing a New Low Impact Development model: SWMM-H | Baek, Sang Soo; Pachepsky, Yakov; Cho, Kyung Hwa | CONFERENCE | 23 |
| 2018-09 | Development of a Nowcasting System Using Machine Learning Approaches to Predict Fecal Contamination Levels at Recreational Beaches in Korea | Park, Yongeun; Kim, Minjeong; Pachepsky, Yakov; Choi, Seoung-Hwa; Jeong, Goo Cho; Jeon, Junho; Cho, Kyung Hwa | ARTICLE | 432 |
| 2017-01 | Escherichia coli release from streambed to water column during baseflow periods: A modeling study | Park, Yongeun; Pachepsky, Yakov; Hong, Eun-Mi; Shelton, Daniel; Coppock, Cary | ARTICLE | 403 |
| 2020-11-11 | Estimation of Fecal contamination in surface water using deep learning | Abass, Ather; Baek, Sangsoo; Silvera, Norbert; Soulileuth, Bousamay; Pachepsky, Yakov; Ribolzi, Olivier; Boithias, Laurie; Cho, Kyung Hwa | CONFERENCE | 5 |
| 2020-08 | Identification and enumeration of cyanobacteria species using a deep neural network | Baek, Sang-Soo; Pyo, JongCheol; Pachepsky, Yakov; Park, Yongeun; Ligaray, Mayzonee; Ahn, Chi-Yong; Kim, Young-Hyo; Chun, Jong Ahn; Cho, Kyung Hwa | ARTICLE | 128 |
| 2017-06 | Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea | Pyo, JongCheol; Pachepsky, Yakov; Baek, Sang-Soo; Kwon, YongSeong; Kim, MinJeong; Lee, Hyuk; Park, Sanghyun; Cha, YoonKyung; Park, Yongeun; Cho, Kyung Hwa | ARTICLE | 440 |
| 2016-06 | Review on Modeling Fate and Transport of Fecally-derived Microorganisms at the Watershed Scale | Cho, Kyung Hwa; Pachepsky, Yakov; Oliver, David; Muirhead, Richard; Park, Youneun; Quilliam, Richard; Shelton, Daniel | CONFERENCE | 34 |
| 2015-07 | Saturated Hydraulic Conductivity of US Soils Grouped According to Textural Class and Bulk Density | Pachepsky, Yakov; Park, Yongeun | ARTICLE | 390 |
| 2016-05 | Survival of Manure-borne Escherichia coli and Fecal Coliforms in Soil: Temperature Dependence as Affected by Site-Specific Factors | Park, Yongeun; Pachepsky, Yakov; Shelton, Daniel; Jeong, Jaehak; Whelan, Gene | ARTICLE | 272 |
| 2019-10-29 | SWMM-HYDRUS linked modelling for development of a Low Impact Development (LID) practice tool | Baek, Sangsoo; Ligaray, Mayzonee; Pachepsky, Yakov; Chun, Jong Ahn; Yoo, Kwang-Sik; Park, Yongeun; Cho, Kyung Hwa | CONFERENCE | 55 |
| 2020-11 | Using convolutional neural network for predicting cyanobacteria concentrations in river water | Pyo, JongCheol; Park, Lan Joo; Pachepsky, Yakov; Baek, Sang-Soo; Kim, Kyunghyun; Cho, Kyung Hwa | ARTICLE | 17 |
| 2017-05-25 | 대한민국 담수계의 클로로필a와 피코시아닌 정량화를 위한 분광알고리즘 최적화 연구 | 표종철; Pachepsky, Yakov; 이혁; 박용은; 조경화 | CONFERENCE | 26 |
