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Volumn 36, Issue 5, 2002, Pages 1181-1192

Accuracy analysis of a respirometer for activated sludge dynamic modelling

Author keywords

Activated sludge; Mathematical modelling; Microbial kinetics; Nitrification; Oxygen uptake rate; Respirometry

Indexed keywords

BIOMASS; ENVIRONMENTAL IMPACT; NITRIFICATION; OXYGEN; PH;

EID: 0036177975     PISSN: 00431354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0043-1354(01)00339-6     Document Type: Article
Times cited : (42)

References (22)
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  • 4
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    • Henze M, Gujer W, Mino T, van Loosdrecht MCM. Activated sludge models ASM1, ASM2, ASM2d, and ASM3. IWA Scientific and Technical Report No. 9, 2000.
  • 6
    • 85189272913 scopus 로고    scopus 로고
    • Petersen B. Calibration, identifiability and optimal experimental design of activated sludge models. Ph.D. thesis, Biomath, University of Gent, Belgium, 2000.
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    • Modelling of activated sludge systems, Lancaster, Basel: Technomics Publ. Co. Inc.
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    • Vanrolleghem PA, Gernaey K, Petersen B, De Clercq B, Coen F, Ottoy J-P. Limitations of short-term experiments designed for identification of activated sludge biodegradation models by fast dynamic phenomena. Proceedings of the Seventh IFAC Conference on Computer Applications in Biotechnology CAB7. Osaka, Japan, 1998. p. 567-72.
  • 13
    • 0022532224 scopus 로고
    • Nitrate versus oxygen utilisation rates in wastewater and activated sludge systems
    • (1986) Water Sci Technol , vol.18 , Issue.6 , pp. 115-122
    • Henze, M.1
  • 14
    • 85189264574 scopus 로고    scopus 로고
    • Petersen B, Gernaey K, Vanrolleghem PA. Improved theoretical identifiability of model parameters by combined respirometric-titrimetric measurements. A generalization of results. Proceeding of the IMACS Third Symposium on Mathematical Modelling, Vienna, Austria. Vol. 2, 2000. p. 639-42.
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    • System identifiability based on the power series expansion of the solution
    • (1978) Math Biosci , vol.41 , pp. 21-33
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    • On the practical identifiability of microbial growth models incorporating Michaelis-Menten type nonlinearities
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    • Seber GA, Wild CJ. Nonlinear regression. Wiley, 1989.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.