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Joon Ha Kim

Showing results (21-30 of 40) with videos related to

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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, KoreaKyung Hwa Cho, Joo-Hyon Kang, Seo Jin Ki, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|June 18, 2010
Spatial and temporal variability of fecal indicator bacteria in an urban stream under different meteorological regimesSung Min Cha, Seung Won Lee, Yong Eun Park, et al.
Membranes|November 24, 2022
Optimization of the Design Configuration and Operation Strategy of Single-Pass Seawater Reverse OsmosisSeung Ji Lim, Seo Jin Ki, Jae-Lim Lim, et al.
Water Research|July 6, 2010
Linking land-use type and stream water quality using spatial data of fecal indicator bacteria and heavy metals in the Yeongsan river basinJoo-Hyon Kang, Seung Won Lee, Kyung Hwa Cho, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|June 5, 2009
Interpretation of seasonal water quality variation in the Yeongsan Reservoir, Korea using multivariate statistical analysesKyung Hwa Cho, Yongeun Park, Joo-Hyon Kang, 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 numberKyung 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 equationsKyung Hwa Cho, Seungwon Lee, Young Sik Ham, et al.
Environmental Management|November 1, 2007
Mass load-based pollution management of the Han River and its tributaries, KoreaJung-Woo Kim, Seo Jin Ki, Jihee Moon, et al.
Environmental Science & Technology|September 22, 2010
Use of barcoded pyrosequencing and shared OTUs to determine sources of fecal bacteria in watershedsTatsuya Unno, Jeonghwan Jang, Dukki Han, et al.
Journal of Environmental Sciences (China)|June 5, 2015
Prediction of effluent concentration in a wastewater treatment plant using machine learning modelsHong Guo, Kwanho Jeong, Jiyeon Lim, et al.
Pageof 4

Showing results (21-30 of 40) with videos related to

Sort By:
Pageof 4
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, KoreaKyung Hwa Cho, Joo-Hyon Kang, Seo Jin Ki, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|June 18, 2010
Spatial and temporal variability of fecal indicator bacteria in an urban stream under different meteorological regimesSung Min Cha, Seung Won Lee, Yong Eun Park, et al.
Membranes|November 24, 2022
Optimization of the Design Configuration and Operation Strategy of Single-Pass Seawater Reverse OsmosisSeung Ji Lim, Seo Jin Ki, Jae-Lim Lim, et al.
Water Research|July 6, 2010
Linking land-use type and stream water quality using spatial data of fecal indicator bacteria and heavy metals in the Yeongsan river basinJoo-Hyon Kang, Seung Won Lee, Kyung Hwa Cho, et al.
Water Science and Technology : a Journal of the International Association on Water Pollution Research|June 5, 2009
Interpretation of seasonal water quality variation in the Yeongsan Reservoir, Korea using multivariate statistical analysesKyung Hwa Cho, Yongeun Park, Joo-Hyon Kang, 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 numberKyung 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 equationsKyung Hwa Cho, Seungwon Lee, Young Sik Ham, et al.
Environmental Management|November 1, 2007
Mass load-based pollution management of the Han River and its tributaries, KoreaJung-Woo Kim, Seo Jin Ki, Jihee Moon, et al.
Environmental Science & Technology|September 22, 2010
Use of barcoded pyrosequencing and shared OTUs to determine sources of fecal bacteria in watershedsTatsuya Unno, Jeonghwan Jang, Dukki Han, et al.
Journal of Environmental Sciences (China)|June 5, 2015
Prediction of effluent concentration in a wastewater treatment plant using machine learning modelsHong Guo, Kwanho Jeong, Jiyeon Lim, et al.
Pageof 4