Implementation, study and calibration of a modified ASM2d for the simulation of SBR processes
An enhanced process model for SBRs has been developed. Though the basic mechanism largely draws on the Activated Sludge Model n. 2d, its new features are the splitting of the nitrification stage in a two-step process, according to the well known Nitrosomonas-Nitrobacter oxidation sequence, and an im...
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description | An enhanced process model for SBRs has been developed. Though the basic mechanism largely draws on the Activated Sludge Model n. 2d, its new features are the splitting of the nitrification stage in a two-step process, according to the well known Nitrosomonas-Nitrobacter oxidation sequence, and an improved XPAO dynamics, involved in the anaerobic/aerobic phosphorus removal process. The model was implemented through the DLL technique allowing complied C++ modules to be linked to an ordinary Simulink block diagram. The static sensitivity study revealed that if the parameter vector is partitioned into subsets of biologically related parameters and calibrated separately, the calibration procedure does not present particularly difficult aspects. Trajectory sensitivity showed also to which extent data collection could be optimised in order to improve calibration accuracy. The study of the shape of the error functional generated by parameters couples allows a much more effective calibration strategy. |
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Though the basic mechanism largely draws on the Activated Sludge Model n. 2d, its new features are the splitting of the nitrification stage in a two-step process, according to the well known Nitrosomonas-Nitrobacter oxidation sequence, and an improved XPAO dynamics, involved in the anaerobic/aerobic phosphorus removal process. The model was implemented through the DLL technique allowing complied C++ modules to be linked to an ordinary Simulink block diagram. The static sensitivity study revealed that if the parameter vector is partitioned into subsets of biologically related parameters and calibrated separately, the calibration procedure does not present particularly difficult aspects. Trajectory sensitivity showed also to which extent data collection could be optimised in order to improve calibration accuracy. The study of the shape of the error functional generated by parameters couples allows a much more effective calibration strategy.</description><identifier>ISSN: 0273-1223</identifier><identifier>ISBN: 1900222744</identifier><identifier>ISBN: 9781900222747</identifier><identifier>EISSN: 1996-9732</identifier><identifier>DOI: 10.2166/wst.2001.0120</identifier><identifier>PMID: 11381934</identifier><identifier>CODEN: WSTED4</identifier><language>eng</language><publisher>Oxford: Pergamon Press</publisher><subject>Activated sludge ; Anaerobic processes ; Applied sciences ; Biological and medical sciences ; Biological treatment of waters ; Bioreactors - microbiology ; Biotechnology ; Calibration ; Computer Simulation ; Data collection ; Dynamic link libraries ; Dynamics ; Environment and pollution ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; General purification processes ; Industrial applications and implications. Economical aspects ; Mathematical models ; Models, Theoretical ; Nitrification ; Nitrobacter ; Nitrobacter - metabolism ; Nitrogen - isolation & purification ; Nitrosomonas ; Nitrosomonas - metabolism ; Oxidation ; Parameters ; Phosphorus ; Phosphorus - isolation & purification ; Phosphorus removal ; Pollution ; Removal ; Sensitivity ; Sensitivity and Specificity ; sequencing batch reactors ; Sewage - chemistry ; Sewage - microbiology ; Sludge ; Software ; Two dimensional models ; Waste Disposal, Fluid - methods ; Waste Disposal, Fluid - statistics & numerical data ; Wastewaters ; Water treatment and pollution</subject><ispartof>Water science and technology, 2001-01, Vol.43 (3), p.69-76</ispartof><rights>2001 INIST-CNRS</rights><rights>Copyright IWA Publishing Feb 2001</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c376t-df972010548dab2d127828c326bec3c39388fb9cc9a07cebc85ec1630b719b5c3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,776,780,785,786,23911,23912,25120,27903,27904</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=785036$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11381934$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Delgenes, J-P</contributor><contributor>Moletta, R</contributor><contributor>Wilderer, PA (eds)</contributor><contributor>Torrijos, M</contributor><creatorcontrib>MARSILI LIBELLI, S</creatorcontrib><creatorcontrib>RATINI, P</creatorcontrib><creatorcontrib>SPAGNI, A</creatorcontrib><creatorcontrib>BORTONE, G</creatorcontrib><title>Implementation, study and calibration of a modified ASM2d for the simulation of SBR processes</title><title>Water science and technology</title><addtitle>Water Sci Technol</addtitle><description>An enhanced process model for SBRs has been developed. Though the basic mechanism largely draws on the Activated Sludge Model n. 2d, its new features are the splitting of the nitrification stage in a two-step process, according to the well known Nitrosomonas-Nitrobacter oxidation sequence, and an improved XPAO dynamics, involved in the anaerobic/aerobic phosphorus removal process. The model was implemented through the DLL technique allowing complied C++ modules to be linked to an ordinary Simulink block diagram. The static sensitivity study revealed that if the parameter vector is partitioned into subsets of biologically related parameters and calibrated separately, the calibration procedure does not present particularly difficult aspects. Trajectory sensitivity showed also to which extent data collection could be optimised in order to improve calibration accuracy. The study of the shape of the error functional generated by parameters couples allows a much more effective calibration strategy.</description><subject>Activated sludge</subject><subject>Anaerobic processes</subject><subject>Applied sciences</subject><subject>Biological and medical sciences</subject><subject>Biological treatment of waters</subject><subject>Bioreactors - microbiology</subject><subject>Biotechnology</subject><subject>Calibration</subject><subject>Computer Simulation</subject><subject>Data collection</subject><subject>Dynamic link libraries</subject><subject>Dynamics</subject><subject>Environment and pollution</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General purification processes</subject><subject>Industrial applications and implications. Economical aspects</subject><subject>Mathematical models</subject><subject>Models, Theoretical</subject><subject>Nitrification</subject><subject>Nitrobacter</subject><subject>Nitrobacter - metabolism</subject><subject>Nitrogen - isolation & purification</subject><subject>Nitrosomonas</subject><subject>Nitrosomonas - metabolism</subject><subject>Oxidation</subject><subject>Parameters</subject><subject>Phosphorus</subject><subject>Phosphorus - isolation & purification</subject><subject>Phosphorus removal</subject><subject>Pollution</subject><subject>Removal</subject><subject>Sensitivity</subject><subject>Sensitivity and Specificity</subject><subject>sequencing batch reactors</subject><subject>Sewage - chemistry</subject><subject>Sewage - microbiology</subject><subject>Sludge</subject><subject>Software</subject><subject>Two dimensional models</subject><subject>Waste Disposal, Fluid - methods</subject><subject>Waste Disposal, Fluid - statistics & numerical data</subject><subject>Wastewaters</subject><subject>Water treatment and pollution</subject><issn>0273-1223</issn><issn>1996-9732</issn><isbn>1900222744</isbn><isbn>9781900222747</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkc1rFTEUxYNW7Gt16VYCgivnee9NJh_LWvwotBRaXUrIJBmcMh_PZAbpf-88-6ji6sLlxzmHcxh7hbAlVOr9rzJvCQC3gARP2AatVZXVgp6yE7QARKSlPGIbIC0qJBLH7KSUOwDQQsJzdowoDFohN-z7xbDr05DG2c_dNL7jZV7iPfdj5MH3XZP_vPnUcs-HKXZtlyI_u72iyNsp8_lH4qUblv4Ru_1ww3d5CqmUVF6wZ63vS3p5uKfs26ePX8-_VJfXny_Ozy6rILSaq9haTYBQSxN9QxFJGzJBkGpSEEFYYUzb2BCsBx1SE0ydAioBjUbb1EGcsrcPuqvzzyWV2Q1dCanv_ZimpTg0qKSsYQXf_AfeTUse12wOrRSSatBqpaoHKuSplJxat8vd4PO9Q3D7Cdw6gdtP4PYTrPzrg-rSDCn-pQ81_2Pry1prm_0YuvLIabNGU-I3BjCLBw</recordid><startdate>20010101</startdate><enddate>20010101</enddate><creator>MARSILI LIBELLI, S</creator><creator>RATINI, P</creator><creator>SPAGNI, A</creator><creator>BORTONE, G</creator><general>Pergamon Press</general><general>IWA Publishing</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>7TV</scope></search><sort><creationdate>20010101</creationdate><title>Implementation, study and calibration of a modified ASM2d for the simulation of SBR processes</title><author>MARSILI LIBELLI, S ; RATINI, P ; SPAGNI, A ; BORTONE, G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c376t-df972010548dab2d127828c326bec3c39388fb9cc9a07cebc85ec1630b719b5c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Activated sludge</topic><topic>Anaerobic processes</topic><topic>Applied sciences</topic><topic>Biological and medical sciences</topic><topic>Biological treatment of waters</topic><topic>Bioreactors - microbiology</topic><topic>Biotechnology</topic><topic>Calibration</topic><topic>Computer Simulation</topic><topic>Data collection</topic><topic>Dynamic link libraries</topic><topic>Dynamics</topic><topic>Environment and pollution</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General purification processes</topic><topic>Industrial applications and implications. Economical aspects</topic><topic>Mathematical models</topic><topic>Models, Theoretical</topic><topic>Nitrification</topic><topic>Nitrobacter</topic><topic>Nitrobacter - metabolism</topic><topic>Nitrogen - isolation & purification</topic><topic>Nitrosomonas</topic><topic>Nitrosomonas - metabolism</topic><topic>Oxidation</topic><topic>Parameters</topic><topic>Phosphorus</topic><topic>Phosphorus - isolation & purification</topic><topic>Phosphorus removal</topic><topic>Pollution</topic><topic>Removal</topic><topic>Sensitivity</topic><topic>Sensitivity and Specificity</topic><topic>sequencing batch reactors</topic><topic>Sewage - chemistry</topic><topic>Sewage - microbiology</topic><topic>Sludge</topic><topic>Software</topic><topic>Two dimensional models</topic><topic>Waste Disposal, Fluid - methods</topic><topic>Waste Disposal, Fluid - statistics & numerical data</topic><topic>Wastewaters</topic><topic>Water treatment and pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>MARSILI LIBELLI, S</creatorcontrib><creatorcontrib>RATINI, P</creatorcontrib><creatorcontrib>SPAGNI, A</creatorcontrib><creatorcontrib>BORTONE, G</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Pollution Abstracts</collection><jtitle>Water science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>MARSILI LIBELLI, S</au><au>RATINI, P</au><au>SPAGNI, A</au><au>BORTONE, G</au><au>Delgenes, J-P</au><au>Moletta, R</au><au>Wilderer, PA (eds)</au><au>Torrijos, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Implementation, study and calibration of a modified ASM2d for the simulation of SBR processes</atitle><jtitle>Water science and technology</jtitle><addtitle>Water Sci Technol</addtitle><date>2001-01-01</date><risdate>2001</risdate><volume>43</volume><issue>3</issue><spage>69</spage><epage>76</epage><pages>69-76</pages><issn>0273-1223</issn><eissn>1996-9732</eissn><isbn>1900222744</isbn><isbn>9781900222747</isbn><coden>WSTED4</coden><abstract>An enhanced process model for SBRs has been developed. Though the basic mechanism largely draws on the Activated Sludge Model n. 2d, its new features are the splitting of the nitrification stage in a two-step process, according to the well known Nitrosomonas-Nitrobacter oxidation sequence, and an improved XPAO dynamics, involved in the anaerobic/aerobic phosphorus removal process. The model was implemented through the DLL technique allowing complied C++ modules to be linked to an ordinary Simulink block diagram. The static sensitivity study revealed that if the parameter vector is partitioned into subsets of biologically related parameters and calibrated separately, the calibration procedure does not present particularly difficult aspects. Trajectory sensitivity showed also to which extent data collection could be optimised in order to improve calibration accuracy. The study of the shape of the error functional generated by parameters couples allows a much more effective calibration strategy.</abstract><cop>Oxford</cop><pub>Pergamon Press</pub><pmid>11381934</pmid><doi>10.2166/wst.2001.0120</doi><tpages>8</tpages></addata></record> |
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subjects | Activated sludge Anaerobic processes Applied sciences Biological and medical sciences Biological treatment of waters Bioreactors - microbiology Biotechnology Calibration Computer Simulation Data collection Dynamic link libraries Dynamics Environment and pollution Exact sciences and technology Fundamental and applied biological sciences. Psychology General purification processes Industrial applications and implications. Economical aspects Mathematical models Models, Theoretical Nitrification Nitrobacter Nitrobacter - metabolism Nitrogen - isolation & purification Nitrosomonas Nitrosomonas - metabolism Oxidation Parameters Phosphorus Phosphorus - isolation & purification Phosphorus removal Pollution Removal Sensitivity Sensitivity and Specificity sequencing batch reactors Sewage - chemistry Sewage - microbiology Sludge Software Two dimensional models Waste Disposal, Fluid - methods Waste Disposal, Fluid - statistics & numerical data Wastewaters Water treatment and pollution |
title | Implementation, study and calibration of a modified ASM2d for the simulation of SBR processes |
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