Sung-Chul Kim, Ph.D.

Affiliations: 
2006 Colorado State University, Fort Collins, CO 
Area:
Environmental Engineering
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"Sung-Chul Kim"
Cross-listing: Envirotree

Parents

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Kenneth H. Carlson grad student 2006 Colorado State
 (Occurrence, fate, and transport of human and veterinary antibiotics in the watershed.)
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Publications

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Kim JW, Hong YK, Yang JE, et al. (2022) Bioaccumulation and Mass Balance Analysis of Veterinary Antibiotics in an Agricultural Environment. Toxics. 10
Kim SJ, Oh Sj, Kim S, et al. (2018) Efficiency and Longevity of In-situ Stabilization Methods in Heavy Metal Contaminated Arable Soils Korean Journal of Environmental Agriculture. 37: 179-188
Yoo J, Park S, Kim W, et al. (2017) Effects of Soil Amendments Application on Growth of RiceCultivated in Soils Polluted with Heavy Metal(loid) and on theAs and Cd Content in Brown Rice Ocean Science Journal. 50: 663-673
Choi W, Hong Y, Min K, et al. (2017) Evaluating Soil Respiration as Indicator of Heavy Metal Pollution in Agricultural Field Ocean Science Journal. 50: 472-481
Kim S, Hong YK, Lee SP, et al. (2017) Calculating Soil Quality Index for Biomass Production Based on Soil Chemical Properties Ocean Science Journal. 50: 56-64
Kim SW, Park M, Kim H, et al. (2017) In-situ nano-alloying Pd-Ni for economical control of syngas production from high-temperature thermo-electrochemical reduction of steam/CO2 Applied Catalysis B: Environmental. 200: 265-273
Son J, Kim S, Sohn K. (2016) Fast illumination-robust foreground detection using hierarchical distribution map for real-time video surveillance system Expert Systems With Applications. 66: 32-41
Awad YM, Kim KR, Kim S, et al. (2015) Monitoring Antibiotic Residues and Corresponding Antibiotic Resistance Genes in an Agroecosystem Journal of Chemistry. 2015: 974843
Kim SC, Kim HS, Seo BH, et al. (2015) Phytoavailability control based management for paddy soil contaminated with Cd and Pb: Implications for safer rice production Geoderma
Kim S, Yang JE, Kim D, et al. (2012) Screening of extraction methods for Cd and As bioavailability prediction in rhizospheric soil using multivariate analyses Environmental Earth Sciences. 66: 327-335
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