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Joon Ha Kim

Showing results (11-20 of 40) with videos related to

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Water Environment Research : a Research Publication of the Water Environment Federation|August 3, 2024
A hybrid approach to improvement of watershed water quality modeling by coupling process-based and deep learning modelsDae Seong Jeong, Heewon Jeong, Jin Hwi Kim, et al.
Water Research|September 16, 2011
Prediction of contamination potential of groundwater arsenic in Cambodia, Laos, and Thailand using artificial neural networkKyung Hwa Cho, Suthipong Sthiannopkao, Yakov A Pachepsky, et al.
Water Research|May 23, 2016
Modeling spatiotemporal bacterial variability with meteorological and watershed land-use characteristicsYoonKyung Cha, Mi-Hyun Park, Sang-Hyup Lee, et al.
The Science of the Total Environment|August 27, 2013
Developing a flow control strategy to reduce nutrient load in a reclaimed multi-reservoir system using a 2D hydrodynamic and water quality modelYongeun Park, Kyung Hwa Cho, Joo-Hyon Kang, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|June 23, 2009
Effect of environmental flow management on river water quality: a case study at Yeongsan River, KoreaSung Min Cha, Seo Jin Ki, Kyung Hwa Cho, et al.
Environmental Science & Technology|June 8, 2004
Locating sources of surf zone pollution: a mass budget analysis of fecal indicator bacteria at Huntington Beach, CaliforniaJoon Ha Kim, Stanley B Grant, Charles D McGee, et al.
Water Research|July 13, 2012
The modified SWAT model for predicting fecal coliforms in the Wachusett Reservoir Watershed, USAKyung Hwa Cho, Yakov A Pachepsky, Joon Ha Kim, et al.
Environmental Toxicology and Chemistry|August 2, 2007
Perchlorate assessment of the Nakdong and Yeongsan watersheds, Republic of KoreaOscar Quiñones, Jeong-Eun Oh, Brett Vanderford, et al.
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 watershedDae Seong Jeong, Heewon Jeong, Joon Ha Kim, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|June 5, 2009
Statistical assessment for spatio-temporal water quality in Angkor, CambodiaSeo Jin Ki, Joo-Hyon Kang, Young Geun Lee, et al.
Pageof 4

Showing results (11-20 of 40) with videos related to

Sort By:
Pageof 4
Water Environment Research : a Research Publication of the Water Environment Federation|August 3, 2024
A hybrid approach to improvement of watershed water quality modeling by coupling process-based and deep learning modelsDae Seong Jeong, Heewon Jeong, Jin Hwi Kim, et al.
Water Research|September 16, 2011
Prediction of contamination potential of groundwater arsenic in Cambodia, Laos, and Thailand using artificial neural networkKyung Hwa Cho, Suthipong Sthiannopkao, Yakov A Pachepsky, et al.
Water Research|May 23, 2016
Modeling spatiotemporal bacterial variability with meteorological and watershed land-use characteristicsYoonKyung Cha, Mi-Hyun Park, Sang-Hyup Lee, et al.
The Science of the Total Environment|August 27, 2013
Developing a flow control strategy to reduce nutrient load in a reclaimed multi-reservoir system using a 2D hydrodynamic and water quality modelYongeun Park, Kyung Hwa Cho, Joo-Hyon Kang, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|June 23, 2009
Effect of environmental flow management on river water quality: a case study at Yeongsan River, KoreaSung Min Cha, Seo Jin Ki, Kyung Hwa Cho, et al.
Environmental Science & Technology|June 8, 2004
Locating sources of surf zone pollution: a mass budget analysis of fecal indicator bacteria at Huntington Beach, CaliforniaJoon Ha Kim, Stanley B Grant, Charles D McGee, et al.
Water Research|July 13, 2012
The modified SWAT model for predicting fecal coliforms in the Wachusett Reservoir Watershed, USAKyung Hwa Cho, Yakov A Pachepsky, Joon Ha Kim, et al.
Environmental Toxicology and Chemistry|August 2, 2007
Perchlorate assessment of the Nakdong and Yeongsan watersheds, Republic of KoreaOscar Quiñones, Jeong-Eun Oh, Brett Vanderford, et al.
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 watershedDae Seong Jeong, Heewon Jeong, Joon Ha Kim, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|June 5, 2009
Statistical assessment for spatio-temporal water quality in Angkor, CambodiaSeo Jin Ki, Joo-Hyon Kang, Young Geun Lee, et al.
Pageof 4