{"refrec":{"BRefID":109686,"RR":"<b>de Brauwere, A.</b> (2007). A system identification view on two aquatic topics: Phytoplankton dynamics and water mass mixing. PhD Thesis. Vrije Universiteit Brussel. Faculty of Science. Analytical and Environmental Chemistry: Brussel. 224 pp.","BEntID":104380,"PublicFlag":1,"CheckedFlag":0,"wosflag":0,"vabbflag":0,"RefStringPartII":". PhD Thesis. Vrije Universiteit Brussel. Faculty of Science. Analytical and Environmental Chemistry: Brussel.  224 pp.","DocTypID":5,"DocType":"Book/Monograph","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"de Brauwere, A.","OrigTitleTranslFlag":0,"Authorstringtrunc":"de Brauwere, A.","Englishabstract":"The general aim of this study is to modify or improve existing modelling procedures in order to extract more or more reliable information from observations at hand. In practice, this means that much attention is directed to quantifying uncertainties, since these enable to draw a line between what is significant and what should not be interpreted. Two applications were considered: tracer experiments modelled by compartmental models (Part A) and a multivariate water mass mixing model (Part B). However, the focus lies on the methods used and developed to improve the models and their inferences. Indeed, the merit of this work is not to have enabled the estimation of flux rates and mixing fractions, but to have enabled their accurate estimation, together with an estimate of the associated uncertainty. Very briefly, these are the main achievements: (i) Inclusion of the input uncertainties in the estimation of model parameters and their uncertainties.(ii) Model selection method based on the statistical interpretation of the residual Weighted Least Squares cost function.(iii) Improvement of Optimum Multiparameter analysis for large-scale reconstruction of mixing water mass distributions.(iv) Construction of an algorithm to estimate heteroscedastic noise variances, from residuals but corrected for model errors.(v) Verification of identifiability of given experiment-model combinations.","AbstractOtherLang":"De algemene doelstelling van deze studie is het aanpassen en verbeteren van bestaande modelleringsprocedures, met de bedoeling om meer en meer betrouwbare informatie te extraheren uit de beschikbare waarnemingen. Concreet betekent dit dat veel aandacht besteed is aan het kwantificeren van onzekerheden, gezien deze nodig zijn om een lijn te trekken tussen wat significant is in de metingen en het deel dat niet moet geïnterpreteerd worden. Twee toepassingen werden nader bekeken: tracerexperimenten gemodelleerd door compartimentele modellen (Deel A) en een multivariaat model voor het beschrijven van mengende watermassa’s (Deel B). De nadruk van deze studie ligt echter op de gebruikte en ontwikkelde methoden. Zijn bijdrage is niet zo zeer om uitwisselingssnelheden of mengingsfracties te hebben geschat, maar eerder om hun accurate schatting te hebben verwezenlijkt, tegelijk met een schatting van de gekoppelde onzekerheid. De voornaamste verwezenlijkingen van deze doctoraatsstudie kunnen in het heel kort samengevat worden als volgt:(i) In rekening brengen van inputonzekerheden bij het schatten vanmodelparameters en hun onzekerheden.(ii) Modelselectie gebaseerd op de statistische interpretatie van deresiduele Gewogen Kleinste Kwadraten kostfunctie.(iii) Verfijning van de Optimum Multiparameter analysis voor degrootschalige reconstructie van spatiale verdeling van mengendewatermassa’s.(iv) Opstellen van algoritme om heteroscedastische ruisvarianties teschatten uit de residuen, met een correctie voor eventuelemodelfouten.(v) Nagaan van identificeerbaarheid van gegeven experiment-modelcombinaties.","BibLvlCode":"M","StandardTitle":"A system identification view on two aquatic topics: Phytoplankton dynamics and water mass mixing","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2025-09-23 01:36:00.060537","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":null,"OtherDescriptors":null,"Notes":null,"AnaPub":null,"MonPub":2007,"DateUpdate":"2025-09-16","DateCreate":"2007-04-17","SecASFANote":null,"ConfID":null,"PeerRev":0,"VlizCoreFlag":1,"WoScode":null,"VABBcode":null,"OpenAcc":1},"refs":null,"anarec":null,"monrec":{"MonID":109686,"ISBN":null,"PubliDate":2007,"IssueDate":null,"Volume":null,"Issue":null,"Pagination":"224","Place":"Brussel","Edition":null,"BRefXtra":null,"BRefXtraRR":null,"SerID":null,"SerRR":null,"Ser2BRefID":null,"Ser2RR":null,"StandardTitleSer":null,"ISSN":null,"AbbrevSer":null,"Degree":"PhD","ThesisID":109686,"InsID":40,"Acronym":"AMGC","FullStandardName":"Vrije Universiteit Brussel; 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