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Yongeun Park

Showing results (31-40 of 34) with videos related to

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Environmental Pollution (Barking, Essex : 1987)|August 31, 2024
Post-calcination as an effective approach to enhance adsorption of arsenic and antimony anions by Mg/Al layered double hydroxide-decorated spent coffee ground biochars: Role of charge properties and active sitesJaegwan Shin, Sang-Ho Lee, Jinwoo Kwak, et al.
Journal of Environmental Management|June 15, 2021
Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality modelsJongCheol Pyo, Yong Sung Kwon, Joong-Hyuk Min, et al.
Journal of Environmental Monitoring : JEM|April 15, 2011
Factors dominating stratification cycle and seasonal water quality variation in a Korean estuarine reservoirYoung Geun Lee, Joo-Hyon Kang, Seo Jin Ki, et al.
Water Research|November 15, 2021
Improving the performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling methodJin Hwi Kim, Jae-Ki Shin, Hankyu Lee, et al.
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Showing results (31-40 of 34) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 34 results.
Environmental Pollution (Barking, Essex : 1987)|August 31, 2024
Post-calcination as an effective approach to enhance adsorption of arsenic and antimony anions by Mg/Al layered double hydroxide-decorated spent coffee ground biochars: Role of charge properties and active sitesJaegwan Shin, Sang-Ho Lee, Jinwoo Kwak, et al.
Journal of Environmental Management|June 15, 2021
Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality modelsJongCheol Pyo, Yong Sung Kwon, Joong-Hyuk Min, et al.
Journal of Environmental Monitoring : JEM|April 15, 2011
Factors dominating stratification cycle and seasonal water quality variation in a Korean estuarine reservoirYoung Geun Lee, Joo-Hyon Kang, Seo Jin Ki, et al.
Water Research|November 15, 2021
Improving the performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling methodJin Hwi Kim, Jae-Ki Shin, Hankyu Lee, et al.
Pageof 4