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dc.contributor.authorCosta, Marcopt
dc.contributor.authorBaturin, Olexandrpt
dc.contributor.authorGonçalves, A. Manuelapt
dc.description.abstractA structural time series model is one which is set up in terms of components which have a direct interpretation. In this paper, the discussion focuses on the dynamic modeling procedure based on the state space approach (associated to the Kalman filter), in the context of surface water quality monitoring, in order to analyze and evaluate the temporal evolution of the environmental variables, and thus identify trends or possible changes in water quality (change point detection). The approach is applied to environmental time series: time series of surface water quality variables in a river basin. The statistical modeling procedure is applied to monthly values of physico- chemical variables measured in a network of 8 water monitoring sites over a 15-year period (1999-2014) in the River Ave hydrological basin located in the Northwest region of
dc.subjectRiver Avept
dc.subjectWater quality variablespt
dc.subjectStructural time series modelspt
dc.subjectState space modelspt
dc.subjectKalman filterpt
dc.titleStructural Time Series Modeling: an Application to Environmental Variablespt
ua.event.date30 junho, 2016pt
degois.publication.locationSantiago de Compostelapt
degois.publication.titleII Encontro Galaico - Portugués de Biometría, con aplicación ás Ciencias da Saúde, á Ecoloxía e ás Ciencias do Medio Ambiente (BIOAPP2016)pt
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