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https://hdl.handle.net/1822/20998
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Campo DC | Valor | Idioma |
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dc.contributor.author | Gonçalves, A. Manuela | - |
dc.contributor.author | Costa, Marco | - |
dc.date.accessioned | 2012-11-26T17:26:09Z | - |
dc.date.available | 2012-11-26T17:26:09Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 1436-3240 | por |
dc.identifier.uri | https://hdl.handle.net/1822/20998 | - |
dc.description.abstract | This study focuses on the potential improvement of environmental variables modelling by using linear state-space models, as an improvement of the linear regression model, and by incorporating a constructed hydro-meteorological covariate. The Kalman filter predictors allow to obtain accurate predictions of calibration factors for both seasonal and hydro-meteorological components. This methodology can be used to analyze the water quality behaviour by minimizing the effect of the hydrological conditions. This idea is illustrated based on a rather extended data set relative to the River Ave basin (Portugal) that consists mainly of monthly measurements of dissolved oxygen concentration in a network of water quality monitoring sites. The hydro-meteorological factor is constructed for each monitoring site based on monthly precipitation estimates obtained by means of a rain gauge network associated with stochastic interpolation (kriging). A linear state-space model is fitted for each homogeneous group (obtained by clustering techniques) of water monitoring sites. The adjustment of linear state-space models is performed by using distribution-free estimators developed in a separate section. | por |
dc.description.sponsorship | Fundação para a Ciência e a Tecnologia (FCT) - Pluriannual Funding Program | por |
dc.language.iso | eng | por |
dc.publisher | Springer | por |
dc.rights | restrictedAccess | por |
dc.subject | Hydrological basin | por |
dc.subject | Water quality | por |
dc.subject | State-space modelling | por |
dc.subject | Kalman filter | por |
dc.subject | Distribution-free estimation | por |
dc.title | Predicting seasonal and hydro-meteorological impact in environmental variables modelling via Kalman filtering | por |
dc.type | article | por |
dc.peerreviewed | yes | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 1021 | - |
oaire.citationEndPage | 1038 | - |
oaire.citationIssue | 5 | - |
oaire.citationTitle | Stochastic Environmental Research and Risk Assessment | por |
oaire.citationVolume | 27 | - |
dc.identifier.doi | 10.1007/s00477-012-0640-7 | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Stochastic Environmental Research and Risk Assessment (SERRA) | por |
Aparece nas coleções: | CMAT - Artigos em revistas com arbitragem / Papers in peer review journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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GoncalvesCosta2012_04_10.pdf Acesso restrito! | Artigo SERRA | 1,1 MB | Adobe PDF | Ver/Abrir |