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Journal of Contaminant Hydrology
|
October 2, 2025
Assessing the applicability of the soil and water assessment tool-deep learning hybrid model for predicting total nitrogen loads in a mixed agricultural watershed
Dae Seong Jeong, Heewon Jeong, Joon Ha Kim, et al.
Journal of Environmental Quality
|
October 2, 2018
Development of a Nowcasting System Using Machine Learning Approaches to Predict Fecal Contamination Levels at Recreational Beaches in Korea
Yongeun Park, Minjeong Kim, Yakov Pachepsky, et al.
The Science of the Total Environment
|
July 24, 2021
Temporal triggers of N<sub>2</sub>O emissions during cyclical and seasonal variations of a full-scale sequencing batch reactor treating municipal wastewater
Wo Bin Bae, Yongeun Park, Kartik Chandran, et al.
Journal of Environmental Management
|
January 31, 2020
Assessment of a green roof practice using the coupled SWMM and HYDRUS models
SangSoo Baek, Mayzonee Ligaray, Yakov Pachepsky, et al.
The Science of the Total Environment
|
February 13, 2009
Determination of the optimal parameters in regression models for the prediction of chlorophyll-a: a case study of the Yeongsan Reservoir, Korea
Kyung Hwa Cho, Joo-Hyon Kang, Seo Jin Ki, et al.
Environmental Science and Pollution Research International
|
July 18, 2020
Effects of physicochemical properties of biochar derived from spent coffee grounds and commercial activated carbon on adsorption behavior and mechanisms of strontium ions (Sr<sup>2+</sup>)
Jaegwan Shin, Sang-Ho Lee, Sangwon Kim, et al.
Journal of Hazardous Materials
|
September 19, 2020
Single and competitive adsorptions of micropollutants using pristine and alkali-modified biochars from spent coffee grounds
Jaegwan Shin, Yong-Gu Lee, Sang-Ho Lee, et al.
Journal of Environmental Sciences (China)
|
October 7, 2010
Evaluation of the relationship between two different methods for enumeration fecal indicator bacteria: colony-forming unit and most probable number
Kyung Hwa Cho, Dukki Han, Yongeun Park, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research
|
June 5, 2009
A new methodology for determining dispersion coefficient using ordinary and partial differential transport equations
Kyung Hwa Cho, Seungwon Lee, Young Sik Ham, et al.
Toxics
|
December 22, 2023
Machine Learning-Based Early Warning Level Prediction for Cyanobacterial Blooms Using Environmental Variable Selection and Data Resampling
Jin Hwi Kim, Hankyu Lee, Seohyun Byeon, et al.
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of 4
Search research articles
Search
Showing results (11-20 of 34) with videos related to
Sort By:
Page
of 4
Journal of Contaminant Hydrology
|
October 2, 2025
Assessing the applicability of the soil and water assessment tool-deep learning hybrid model for predicting total nitrogen loads in a mixed agricultural watershed
Dae Seong Jeong, Heewon Jeong, Joon Ha Kim, et al.
Journal of Environmental Quality
|
October 2, 2018
Development of a Nowcasting System Using Machine Learning Approaches to Predict Fecal Contamination Levels at Recreational Beaches in Korea
Yongeun Park, Minjeong Kim, Yakov Pachepsky, et al.
The Science of the Total Environment
|
July 24, 2021
Temporal triggers of N<sub>2</sub>O emissions during cyclical and seasonal variations of a full-scale sequencing batch reactor treating municipal wastewater
Wo Bin Bae, Yongeun Park, Kartik Chandran, et al.
Journal of Environmental Management
|
January 31, 2020
Assessment of a green roof practice using the coupled SWMM and HYDRUS models
SangSoo Baek, Mayzonee Ligaray, Yakov Pachepsky, et al.
The Science of the Total Environment
|
February 13, 2009
Determination of the optimal parameters in regression models for the prediction of chlorophyll-a: a case study of the Yeongsan Reservoir, Korea
Kyung Hwa Cho, Joo-Hyon Kang, Seo Jin Ki, et al.
Environmental Science and Pollution Research International
|
July 18, 2020
Effects of physicochemical properties of biochar derived from spent coffee grounds and commercial activated carbon on adsorption behavior and mechanisms of strontium ions (Sr<sup>2+</sup>)
Jaegwan Shin, Sang-Ho Lee, Sangwon Kim, et al.
Journal of Hazardous Materials
|
September 19, 2020
Single and competitive adsorptions of micropollutants using pristine and alkali-modified biochars from spent coffee grounds
Jaegwan Shin, Yong-Gu Lee, Sang-Ho Lee, et al.
Journal of Environmental Sciences (China)
|
October 7, 2010
Evaluation of the relationship between two different methods for enumeration fecal indicator bacteria: colony-forming unit and most probable number
Kyung Hwa Cho, Dukki Han, Yongeun Park, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research
|
June 5, 2009
A new methodology for determining dispersion coefficient using ordinary and partial differential transport equations
Kyung Hwa Cho, Seungwon Lee, Young Sik Ham, et al.
Toxics
|
December 22, 2023
Machine Learning-Based Early Warning Level Prediction for Cyanobacterial Blooms Using Environmental Variable Selection and Data Resampling
Jin Hwi Kim, Hankyu Lee, Seohyun Byeon, et al.
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of 4