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Showing items 1 through 9 of 4.
  1. Library Resource
    Journal Articles & Books
    December, 2015
    France, Sweden

    The robustness of the physically-based, semi-distributed hydrological model ECOMAG with respect to changing (climatic or land-use) conditions was evaluated for two basins, considered within the modelling workshop held in the frame of the 2013 IAHS conference in Göteborg, Sweden. The first basin, the Garonne River basin, France, is characterized mostly by changes in climatic conditions, while the second, Obyån Creek, Sweden, was exposed to drastic land cover change due to deforestation.

  2. Library Resource
    Journal Articles & Books
    December, 2015
    France, Sweden, United States of America

    Artificial neural networks (ANN) are nonlinear models widely investigated in hydrology due to their properties of universal approximation and parsimony. Their performance during the training phase is very good, and their ability to generalize can be improved by using regularization methods such as early stopping and cross-validation. In our research, two kinds of generic models are implemented: the feed-forward model and the recurrent model.

  3. Library Resource
    Journal Articles & Books
    December, 2013
    France

    This article aims at testing whether the ecosystem services framework helps in understanding the link between local management and biodiversity conservation. Tourism was analysed in Camargue (France), a wetland area of high biodiversity value, via semi-structured interviews with local stakeholders. Three types of stakeholders were interviewed: protected area managers, livestock farmers and public institutions. This was done to examine whether they manage the land to enable tourism and/or maintain or restore the ecological state of ecosystems.

  4. Library Resource
    Journal Articles & Books
    December, 2014
    France

    This article addresses the critical need for a better quantitative understanding of how water resources from the Hérault River catchment in France have been influenced by climate variability and the increasing pressure of human activity over the last 50 years. A method is proposed for assessing the relative impacts of climate and growing water demand on the decrease in discharge observed at various gauging stations in the periods 1961–1980 and 1981–2010.

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