Statistical identification of monod-kinetic parameters from on-line measurements
Tune series analysis of on-line monitored ammonia and nitrate concentrations from full-scale wastewater treatment plants operated according to an alternating scheme makes the identification of Monod-kinetic expressions possible. The models presented in the present context only include kinetic parame...
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| Veröffentlicht in: | Water science and technology 1995, Vol.31 (2), p.125-133 |
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| creator | Carstensen, Jacob Haffemoës, Poul Madsen, Henrik |
| description | Tune series analysis of on-line monitored ammonia and nitrate concentrations from full-scale wastewater treatment plants operated according to an alternating scheme makes the identification of Monod-kinetic expressions possible. The models presented in the present context only include kinetic parameters which have shown to be significant in a statistical sense. Estimates of kinetic parameters for the nitrification and denitrification processes are obtained by applying these models to the time series of ammonia and nitrate concentrations. In this paper, the concept of statistical identification which depends on the two conditions of theoretical and practical identification, is described. Experiences from estimating time series models of the nitrification and denitrification processes with data from two wastewater treatment plants are discussed. It appears that the dynamic of the biological processes on a full-scale plant is strongly varying. The proposed models are suitable for on-line control, because the states of the plant are continuously updated as new information from the on-line sensors becomes available. |
| doi_str_mv | 10.1016/0273-1223(95)00186-Q |
| format | Article |
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The models presented in the present context only include kinetic parameters which have shown to be significant in a statistical sense. Estimates of kinetic parameters for the nitrification and denitrification processes are obtained by applying these models to the time series of ammonia and nitrate concentrations. In this paper, the concept of statistical identification which depends on the two conditions of theoretical and practical identification, is described. Experiences from estimating time series models of the nitrification and denitrification processes with data from two wastewater treatment plants are discussed. It appears that the dynamic of the biological processes on a full-scale plant is strongly varying. The proposed models are suitable for on-line control, because the states of the plant are continuously updated as new information from the on-line sensors becomes available.</description><identifier>ISSN: 0273-1223</identifier><identifier>EISSN: 1996-9732</identifier><identifier>DOI: 10.1016/0273-1223(95)00186-Q</identifier><language>eng</language><publisher>London: Elsevier Ltd</publisher><subject>Ammonia ; Biological activity ; Control ; Denitrification ; estimation ; grey box modelling ; identifiability ; Identification ; Mathematical models ; Monod kinetics ; Monod-kinetic expressions ; Nitrates ; Nitrification ; non-linear time series models ; Parameter estimation ; Parameter identification ; Parameters ; Q1 ; Statistical analysis ; surveillance ; Time series ; Wastewater ; Wastewater treatment ; Wastewater treatment plants ; Water treatment plants</subject><ispartof>Water science and technology, 1995, Vol.31 (2), p.125-133</ispartof><rights>1995 International Association on Water Quality</rights><rights>Copyright IWA Publishing Jan 1995</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c324q-b49cb407380f2099f73733566812829ae07a1ff5796d6130f88cdca973a418b43</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids></links><search><creatorcontrib>Carstensen, Jacob</creatorcontrib><creatorcontrib>Haffemoës, Poul</creatorcontrib><creatorcontrib>Madsen, Henrik</creatorcontrib><title>Statistical identification of monod-kinetic parameters from on-line measurements</title><title>Water science and technology</title><description>Tune series analysis of on-line monitored ammonia and nitrate concentrations from full-scale wastewater treatment plants operated according to an alternating scheme makes the identification of Monod-kinetic expressions possible. The models presented in the present context only include kinetic parameters which have shown to be significant in a statistical sense. Estimates of kinetic parameters for the nitrification and denitrification processes are obtained by applying these models to the time series of ammonia and nitrate concentrations. In this paper, the concept of statistical identification which depends on the two conditions of theoretical and practical identification, is described. Experiences from estimating time series models of the nitrification and denitrification processes with data from two wastewater treatment plants are discussed. It appears that the dynamic of the biological processes on a full-scale plant is strongly varying. 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The models presented in the present context only include kinetic parameters which have shown to be significant in a statistical sense. Estimates of kinetic parameters for the nitrification and denitrification processes are obtained by applying these models to the time series of ammonia and nitrate concentrations. In this paper, the concept of statistical identification which depends on the two conditions of theoretical and practical identification, is described. Experiences from estimating time series models of the nitrification and denitrification processes with data from two wastewater treatment plants are discussed. It appears that the dynamic of the biological processes on a full-scale plant is strongly varying. The proposed models are suitable for on-line control, because the states of the plant are continuously updated as new information from the on-line sensors becomes available.</abstract><cop>London</cop><pub>Elsevier Ltd</pub><doi>10.1016/0273-1223(95)00186-Q</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
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| ispartof | Water science and technology, 1995, Vol.31 (2), p.125-133 |
| issn | 0273-1223 1996-9732 |
| language | eng |
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| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Ammonia Biological activity Control Denitrification estimation grey box modelling identifiability Identification Mathematical models Monod kinetics Monod-kinetic expressions Nitrates Nitrification non-linear time series models Parameter estimation Parameter identification Parameters Q1 Statistical analysis surveillance Time series Wastewater Wastewater treatment Wastewater treatment plants Water treatment plants |
| title | Statistical identification of monod-kinetic parameters from on-line measurements |
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