Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Hyosoo Kim"'
Publikováno v:
Journal of Korean Society of Environmental Engineers. 41:627-636
Publikováno v:
Journal of Environmental Science International. 27:1073-1081
Autor:
Yejin Kim, Hyosoo Kim
Publikováno v:
Journal of Environmental Science International. 27:447-456
Publikováno v:
Environmental Science and Pollution Research. 23:25451-25466
In wastewater treatment plants (WWTPs), the portion of operating costs related to electric power consumption is increasing. If the electric power consumption decreased, however, it would be difficult to comply with the effluent water quality requirem
Publikováno v:
Environmental Science and Pollution Research. 23:10785-10798
An operator decision support system (ODSS) is proposed to support operators of wastewater treatment plants (WWTPs) in making appropriate decisions. This system accounts for water quality (WQ) variations in WWTP influent and effluent and in the receiv
Publikováno v:
Journal of Cleaner Production. 113:325-337
This paper evaluates several Wastewater treatment plant (WWTP) processes, an integrated sludge management system, and waste sludge disposal methods in a large city based on life cycle analysis (LCA) and economic efficiency analysis (EEA) together. Am
Publikováno v:
Frontiers of Environmental Science & Engineering. 10:299-310
The k-nearest neighbor (k-NN) method was evaluated to predict the influent flow rate and four water qualities, namely chemical oxygen demand (COD), suspended solid (SS), total nitrogen (T-N) and total phosphorus (T-P) at a wastewater treatment plant
Autor:
Hyosoo Kim, Hyunjin Cho, Sang Seob Yun, Geumhee Gwak, Keun Ho Yang, Ji Il Kim, Sun Cheol Park, In Sung Moon
Publikováno v:
Vascular Specialist International
PURPOSE: An attempt was made to characterize the orbital shear stress by comparing the effects of orbital shear stress on vascular endothelial cells (ECs) with the results of animal experiments. MATERIALS AND METHODS: In the laboratory study, culture
Publikováno v:
Desalination and Water Treatment. 57:12508-12517
The variation in downstream river water quality was investigated using three multivariate statistical techniques: factor analysis (FA), cluster analysis (CA), and discriminant analysis (DA). Four main factors (FA1, FA2, FA3, and FA4) were defined as
Publikováno v:
Journal of Korean Society of Environmental Engineers. 37:1-6