Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/11641
Título: | Clustering and forecasting of dissolved oxygen concentration on a river basin |
Autor(es): | Gonçalves, A. Manuela Costa, Marco |
Palavras-chave: | Hydrological basin Water quality Clustering State space model Linear model Kalman filter |
Data: | Fev-2011 |
Editora: | Springer Verlag |
Revista: | Stochastic Environmental Research & Risk Assessment (serra) |
Citação: | "Stochastic Environmental Research & Risk Assessment." ISSN 1436-3240. 25:2 (Fev. 2011) 151-163. |
Resumo(s): | The aim of this contribution is to combine statistical methodologies to geographically classify homogeneous groups of water quality monitoring sites based on similarities in the temporal dynamics of the dissolved oxygen (DO) concentration, in order to obtain accurate forecasts of this quality variable. Our methodology intends to classify the water quality monitoring sites into spatial homogeneous groups, based on the DO concentration, which has been selected and considered relevant to characterize the water quality. We apply clustering techniques based on Kullback Information, measures that are obtained in the state space modelling process. For each homogeneous group of water quality monitoring sites we model the DO concentration using linear and state space models, which incorporate tendency and seasonality components in different ways. Both approaches are compared by the mean squared error (MSE) of forecasts. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/11641 |
DOI: | 10.1007/s00477-010-0429-5 |
ISSN: | 1436-3240 1436-3259 |
Versão da editora: | http://www.springerlink.com/ |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
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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CostaGoncalvesSERRA.pdf | Documento principal | 119,28 kB | Adobe PDF | Ver/Abrir |