Early warning is a key element for disaster risk reduction. However, the advances in generating hazard risk information have not yet been incorporated into operational forecast systems and consequently, operational forecasts have not been integrated into decision making processes in order to reduce disaster risks. This paper describes a decision support framework (DSS) for flood risk management using one to ten days multiple weather ensemble (EPS) forecasts of the European Center for Medium Range Forecasts (ECMWF), integrating hydrological models, and combining GIS and user needs. It designed to interpret, translate, and communicate science-based risk information into user-friendly early warning information products to assist emergency managers and decision makers. The DSS interface allows users to interactively specify the objectives and criteria that are germane to a particular situation, and obtain the management options (strategies) that are possible, and the exogenous influences (scenarios) that should be taken into account before policy planning and decision making. The lumped and semi-distributed hydrological model was used in the multi-model discharge forecasting scheme.
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Early warning is a key element for disaster risk reduction. However, the advances in generating hazard risk information have not yet been incorporated into operational forecast systems and consequently, operational forecasts have not been integrated into decision making processes in order to reduce disaster risks. This paper describes a decision support framework (DSS) for flood risk management using one to ten days multiple weather ensemble (EPS) forecasts of the European Center for Medium Range Forecasts (ECMWF), integrating hydrological models, and combining GIS and user needs. It designed to interpret, translate, and communicate science-based risk information into user-friendly early warning information products to assist emergency managers and decision makers. The DSS interface allows users to interactively specify the objectives and criteria that are germane to a particular situation, and obtain the management options (strategies) that are possible, and the exogenous influences (scenarios) that should be taken into account before policy planning and decision making. The lumped and semi-distributed hydrological model was used in the multi-model discharge forecasting scheme.
Mr. Fakhruddin is a hydrologist by training, specializing in hydrology, disaster and climate risk management. His recent work involves providing technical expertise for generation and application of long lead flood forecasting techniques for the Region and demonstration of location specific early warning system for coastal hazards.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Early warning is a key element for disaster risk reduction. However, the advances in generating hazard risk information have not yet been incorporated into operational forecast systems and consequently, operational forecasts have not been integrated into decision making processes in order to reduce disaster risks. This paper describes a decision support framework (DSS) for flood risk management using one to ten days multiple weather ensemble (EPS) forecasts of the European Center for Medium Range Forecasts (ECMWF), integrating hydrological models, and combining GIS and user needs. It designed to interpret, translate, and communicate science-based risk information into user-friendly early warning information products to assist emergency managers and decision makers. The DSS interface allows users to interactively specify the objectives and criteria that are germane to a particular situation, and obtain the management options (strategies) that are possible, and the exogenous influences (scenarios) that should be taken into account before policy planning and decision making. The lumped and semi-distributed hydrological model was used in the multi-model discharge forecasting scheme. N° de réf. du vendeur 9783659205026
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Fakhruddin S.H.M.Mr. Fakhruddin is a hydrologist by training, specializing in hydrology, disaster and climate risk management. His recent work involves providing technical expertise for generation and application of long lead flood f. N° de réf. du vendeur 5139486
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Taschenbuch. Etat : Neu. A decision support framework for flood risk management | An application to the Brahmaputra river in Bangladesh | S. H. M. Fakhruddin (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659205026 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 106288524
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