Please use this identifier to cite or link to this item: http://hdl.handle.net/10348/4304
Title: A predictive modelling tool for assessing climate, land use and hydrological change on reservoir quality.
Authors: Hughes, Samantha Jane
Cabecinha, Edna
Santos, João Carlos Andrade dos
Andrade, Cristina Maria Mendes
Lopes, Domingos Manuel Mendes
Trindade, Henrique Manuel da Fonseca
Cabral, João Alexandre
Santos, Mário
Lourenço, José Manuel Martinho
Aranha, José Tadeu Marques
Fernandes, Luís Filipe Sanches
Morais, Maria Manuela
Leite, Maria Solange Mendonça
Oliveira, Paula Cristina Ribeiro Coutinho de
Cortes, Rui Manuel Vitor
Keywords: Portugal
Climate change
Lande use
Hydrology
Reservoir
Predictive modelling
Issue Date: 2012
Citation: Hughes, S. J. el al, 2012
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.
Peer Reviewed: yes
URI: http://hdl.handle.net/10348/4304
ISSN: 0004-0894
Document Type: Article
Appears in Collections:DEBA - Artigo publicado em Revista Científica Indexada

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