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Title: A predictive modelling tool for assessing climate, land use and hydrological change on reservoir physicochemical and biological properties
Authors: Samantha, J. H
Cabecinha, E
Andrade dos Santos, J.C.
Mendes Lopes, D.M.
da Fonseca Trindade, H.M.
dos Santos Cabral, J. A. F. A.
Santiago dos Santos, M.G.
Martinho Lourenço, J.M.
Marques Aranha, J.T.
Sanches Fernandes, L.F.
Morais, M. M.
Mendonça Leite, M. S.
Ribeiro Coutinho de Oliveira, P.C.
Cortes, R. M. V.
Keywords: Portugal
climate change
land use
predictive modelling
Issue Date: 2012
Publisher: Area
Citation: Samantha J. H., E. Cabecinha, J.C. Andrade dos Santos, D. M. Mendes Lopes, H. M. da Fonseca Trindade, J. A. F. A. dos Santos Cabral, M. G. Santiago dos Santos, J. M. Martinho Lourenço, J. T. Marques Aranha, L. F. Sanches Fernandes, M. M. Morais, M. S. Mendonça Leite, P. C. Ribeiro Coutinho de Oliveira & R. M. V. Cortes, 2012 - A predictive modelling tool for assessing climate, land use and hydrological change on reservoir physicochemical and biological properties, Area, 44 (4): 432-444.
Abstract: Reservoirs are fundamental for water and energy supply but vulnerable to impacts including climate change. This paper outlines the steps in the development of a model to predict how climate, land use and hydrological change could affect the physiochemical and ecological quality of reservoirs in Portugal’s Douro region. Climatic data will be downscaled for subsequent finer spatial scale models to develop scenarios and outputs. Field observations and satellite imagery analysis will create dynamic maps providing data on change in land use and vegetation cover, while Artificial Neural Networks will determine how climate, land use and vegetation cover change may influence catchment hydrology. Data from field surveys of biological indicators, greenhouse gas emissions plus additional research will be applied in the Stochastic Dynamic Methodology, a sequential modelling process based on statistical parameter estimation, developed to predict and model physiochemical and ecological changes in reservoirs. This interdisciplinary approach will provide vital modelling tools for end users essential for water resource management in Portugal and to comply with the EU Water Framework Directive.
Type: article
Appears in Collections:BIO - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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