A recursively identified model for short-term predictions of NH4/NO3-concentrations in alternating activated sludge processes

L.J.S. Lukasse; K.J. Keesman; G. van Straten

doi:10.1016/S0959-1524(98)00037-7

A recursively identified model for short-term predictions of NH4/NO3-concentrations in alternating activated sludge processes

L.J.S. Lukasse, K.J. Keesman, G. van Straten

WIMEK

Research output: Contribution to journal › Article › Academic › peer-review

25 Citations (Scopus)

Original language	English
Pages (from-to)	87-100
Journal	Journal of Process Control
Volume	9
DOIs	https://doi.org/10.1016/S0959-1524(98)00037-7
Publication status	Published - 1999

Keywords

waste water treatment
activated sludge
aeration
nitrogen
removal
models

Access to Document

10.1016/S0959-1524(98)00037-7

Cite this

@article{c04cbd56fa5e414b866531e53db081ae,

title = "A recursively identified model for short-term predictions of NH4/NO3-concentrations in alternating activated sludge processes",

keywords = "afvalwaterbehandeling, geactiveerd slib, beluchting, stikstof, verwijdering, modellen, waste water treatment, activated sludge, aeration, nitrogen, removal, models",

author = "L.J.S. Lukasse and K.J. Keesman and {van Straten}, G.",

year = "1999",

doi = "10.1016/S0959-1524(98)00037-7",

language = "English",

volume = "9",

pages = "87--100",

journal = "Journal of Process Control",

issn = "0959-1524",

publisher = "Elsevier",

}

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T1 - A recursively identified model for short-term predictions of NH4/NO3-concentrations in alternating activated sludge processes

AU - Lukasse, L.J.S.

AU - Keesman, K.J.

AU - van Straten, G.

PY - 1999

Y1 - 1999

KW - afvalwaterbehandeling

KW - geactiveerd slib

KW - beluchting

KW - stikstof

KW - verwijdering

KW - modellen

KW - waste water treatment

KW - activated sludge

KW - aeration

KW - nitrogen

KW - removal

KW - models

U2 - 10.1016/S0959-1524(98)00037-7

DO - 10.1016/S0959-1524(98)00037-7

M3 - Article

SN - 0959-1524

VL - 9

SP - 87

EP - 100

JO - Journal of Process Control

JF - Journal of Process Control

ER -