A fast predicting neural fuzzy model for high-rate anaerobic wastewater treatment systems

2000 ◽  
Vol 34 (11) ◽  
pp. 2849-2860 ◽  
Author(s):  
J Tay
2020 ◽  
Vol 299 ◽  
pp. 122598 ◽  
Author(s):  
Heng Xu ◽  
Kaijun Wang ◽  
Xiaoqian Zhang ◽  
Hui Gong ◽  
Yu Xia ◽  
...  

1993 ◽  
Vol 27 (5) ◽  
pp. 749-756 ◽  
Author(s):  
P. Arne Alphenaar ◽  
Ron Sleyster ◽  
Peter De Reuver ◽  
Gert-Jan Ligthart ◽  
Gatze Lettinga

2014 ◽  
Vol 31 (1) ◽  
pp. 67-75
Author(s):  
Anna Grabińska-Łoniewska ◽  
Tomasz Słomczyński ◽  
Elżbieta Pajor ◽  
Katarzyna Kołosowska

A set of 21 strains of yeast-like microorganisms isolated from biocenoses of aerobic and anaerobic wastewater treatment systems were assayed for their ability to utilize aromatic hydrocarbons as a sole C-source. Basing on the achieved results, the highly biochemically active strains for application in enhancing of wastewaters and exhaust gases purification as well as soil bioremediation were selected.


1991 ◽  
Vol 24 (8) ◽  
pp. 61-78 ◽  
Author(s):  
S. R. Harper ◽  
M. T. Suidan

A discussion of principles guiding the experimental elucidation of microbial growth and substrate utilization kinetics, and the development of mathematical models for anaerobic wastewater treatment systems, is presented. Recent developments in the areas of anaerobic treatment microbiology (including biomass characterization), biochemical mechanisms, microbial growth dyamics, reactor hydrodynamics, and mathematical modeling approaches are presented and explored.


2005 ◽  
pp. 135-162 ◽  
Author(s):  
Hans-Joachim Jördening ◽  
Klaus Buchholz

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