Tshimanga R.M., Tshitenge J.M., Kabuya P., Alsdorf D., Mahé Gil, Kibukusa G., Lukanda V. (2016). A regional perceptive of flood forecasting and disaster management systems for the Congo river basin. In :
Adams T.E. (ed.), Pagano T.C. (ed.). Flood forecasting : an international perspective. Cambridge : Academic Press, p. 87-124. ISBN 978-0-12-801884-2.
Titre du document
A regional perceptive of flood forecasting and disaster management systems for the Congo river basin
Année de publication
2016
Type de document
Partie d'ouvrage
Auteurs
Tshimanga R.M., Tshitenge J.M., Kabuya P., Alsdorf D., Mahé Gil, Kibukusa G., Lukanda V.
In
Adams T.E. (ed.), Pagano T.C. (ed.), Flood forecasting : an international perspective
Source
Cambridge : Academic Press, 2016,
p. 87-124 ISBN 978-0-12-801884-2
The world is witnessing major environmental changes, which are a consequence of increasing impacts and pressure on the natural system. Hydrological processes at the catchment scale are sensitive to these changes, and the resulting effect is an increase in the frequency of extreme events such as flooding and droughts, which cause serious damages to human lives, to food production systems and to infrastructures. Losses incurred by these damages are sometimes large and beyond imagination, and represent a major challenge for economic expansion in developing nations. While these impacts are real in the Congo Basin, efforts to mitigate them or to enable capacity of people to minimize their costs are little. This is basically due to a lack of understanding of processes governing the dynamics of the extreme events, a lack of adequate data and information required at the appropriate scales, and insufficient infrastructures. This paper presents the current status of flood forecasting systems in the Congo Basin, including current knowledge of drivers and trends in flood events, available data and tools, as well as available infrastructures and technology necessary to establish flood monitoring systems and early warning mechanisms. A diagnostic analysis is carried out with the aim to identify gaps and propose areas for future actions of capacity development.
Plan de classement
Gestion, prévision en temps réel et modélisation [062EVAEAU03]
Descripteurs
INONDATION ; PLUVIOMETRIE ; DEBIT ; TOPOGRAPHIE ; UTILISATION DU SOL ; ETUDE REGIONALE ; CATASTROPHE NATURELLE ; SURVEILLANCE ; PREVISION ; GESTION ; POLITIQUE REGIONALE ; INVENTAIRE ; DONNEES DE TERRAIN ; DONNEES SATELLITE ; MODELISATION ; SYSTEME D'ALERTE ; RESEAU HYDROMETRIQUE ; ORGANISATION ; IMPACT SOCIOECONOMIQUE ; CHANGEMENT CLIMATIQUE
Description Géographique
ANGOLA ; BURUNDI ; CENTRAFRIQUE ; CONGO ; RWANDA ; TANZANIE ; ZAMBIE
Localisation
Fonds IRD [F B010069627]
Identifiant IRD
fdi:010069627
