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Joon Ha Kim

Showing results (1-10 of 40) with videos related to

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Environmental Science & Technology|June 8, 2004
Public mis-notification of coastal water quality: a probabilistic evaluation of posting errors at Huntington Beach, CaliforniaJoon Ha Kim, Stanley B Grant
Membranes|April 3, 2021
Theoretical Analysis of a Mathematical Relation between Driving Pressures in Membrane-Based Desalting ProcessesSung Ho Chae, Joon Ha Kim
Biotechnology Progress|August 2, 2003
Unstructured model for L-lysine fermentation under controlled dissolved oxygenSemsi Ensari, Joon Ha Kim, Henry C Lim
Journal of Colloid and Interface Science|May 26, 2001
Kinetic Theories for the Coagulation and Sedimentation of ParticlesStanley B. Grant, Joon Ha Kim, Cris Poor
Environmental Management|April 25, 2007
Solar and tidal modulations of fecal indicator bacteria in coastal waters at Huntington Beach, CaliforniaSeo Jin Ki, Semsi Ensari, Joon Ha Kim
The Science of the Total Environment|October 27, 2007
Development of a new biomonitoring method to detect the abnormal activity of Daphnia magna using automated Grid Counter deviceJunho Jeon, Joon Ha Kim, Byung Cheun Lee, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|June 5, 2009
An analytical model for non-conservative pollutants mixing in the surf zoneSeo Jin Ki, Jin Hwan Hwang, Joo-Hyon Kang, et al.
Journal of Environmental Science and Health. Part A, Toxic/Hazardous Substances & Environmental Engineering|October 10, 2012
Multi-level stressor analysis from the DNA/biochemical level to community levels in an urban stream and integrative health response (IHR) assessmentsJae Hoon Lee, Joon Ha Kim, Hee-Mock Oh, et al.
Water Research|July 24, 2017
The relative importance of water temperature and residence time in predicting cyanobacteria abundance in regulated riversYoonKyung Cha, Kyung Hwa Cho, Hyuk Lee, et al.
The Science of the Total Environment|September 22, 2014
Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, KoreaYongeun Park, Kyung Hwa Cho, Jihwan Park, et al.
Pageof 4

Showing results (1-10 of 40) with videos related to

Sort By:
Pageof 4
Environmental Science & Technology|June 8, 2004
Public mis-notification of coastal water quality: a probabilistic evaluation of posting errors at Huntington Beach, CaliforniaJoon Ha Kim, Stanley B Grant
Membranes|April 3, 2021
Theoretical Analysis of a Mathematical Relation between Driving Pressures in Membrane-Based Desalting ProcessesSung Ho Chae, Joon Ha Kim
Biotechnology Progress|August 2, 2003
Unstructured model for L-lysine fermentation under controlled dissolved oxygenSemsi Ensari, Joon Ha Kim, Henry C Lim
Journal of Colloid and Interface Science|May 26, 2001
Kinetic Theories for the Coagulation and Sedimentation of ParticlesStanley B. Grant, Joon Ha Kim, Cris Poor
Environmental Management|April 25, 2007
Solar and tidal modulations of fecal indicator bacteria in coastal waters at Huntington Beach, CaliforniaSeo Jin Ki, Semsi Ensari, Joon Ha Kim
The Science of the Total Environment|October 27, 2007
Development of a new biomonitoring method to detect the abnormal activity of Daphnia magna using automated Grid Counter deviceJunho Jeon, Joon Ha Kim, Byung Cheun Lee, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|June 5, 2009
An analytical model for non-conservative pollutants mixing in the surf zoneSeo Jin Ki, Jin Hwan Hwang, Joo-Hyon Kang, et al.
Journal of Environmental Science and Health. Part A, Toxic/Hazardous Substances & Environmental Engineering|October 10, 2012
Multi-level stressor analysis from the DNA/biochemical level to community levels in an urban stream and integrative health response (IHR) assessmentsJae Hoon Lee, Joon Ha Kim, Hee-Mock Oh, et al.
Water Research|July 24, 2017
The relative importance of water temperature and residence time in predicting cyanobacteria abundance in regulated riversYoonKyung Cha, Kyung Hwa Cho, Hyuk Lee, et al.
The Science of the Total Environment|September 22, 2014
Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, KoreaYongeun Park, Kyung Hwa Cho, Jihwan Park, et al.
Pageof 4