Groundwater recharge and associated uncertainty estimation combining multi-method and multi-scale approaches

Abstract : Groundwater resource assessment is a major concern for water managers who have to balance water demands and resources at a basin or territory scale. One operational way to address this question is often to estimate only the part of recharge which is linked to precipitation. Many methods to estimate groundwater recharge are described in the literature, varying in terms of time scale and the nature of the data they treat. They do not always provide a suitable estimate of uncertainty. To obtain both a realistic estimation of groundwater recharge and a confidence interval at the hydrogeological basin scale, we propose a multi-method approach combined to a gridded water budget approach at the system scale. Firstly, ESPERE a recharge estimation tool combining several analytical methods has been developed and then applied to nine French hydrogeological case studies. The methods implemented in ESPERE are based either on climate data, discharges or piezometric levels time-series processing. This first approach addresses uncertainties linked to the estimation methods themselves. It also highlights the variability of recharge due to the interannual variability of meteorological data. Then, a spatialized approach was applied, in order to address spatial variability of meteorological data and parameters that control the water infiltration toward the aquifer. It relies on numerical treatments chaining cartographic data processing and water budget calculation with a resolution of 8 km. The combination of both approaches allows providing recharge time series at the systems scale, homogeneous recharge maps at the regional scale and uncertainty estimation associated to the calculation methods.
Type de document :
Communication dans un congrès
8th International Congress on Environmental Modelling and Software, Jul 2016, Toulouse, France
Liste complète des métadonnées

Littérature citée [23 références]  Voir  Masquer  Télécharger

https://hal-brgm.archives-ouvertes.fr/hal-01326398
Contributeur : Sandra Lanini <>
Soumis le : vendredi 3 juin 2016 - 15:20:58
Dernière modification le : mercredi 17 août 2016 - 01:04:51

Fichier

Article_IEMSS_LaniniCaballero_...
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01326398, version 1

Collections

Citation

Sandra Lanini, Yvan Caballero. Groundwater recharge and associated uncertainty estimation combining multi-method and multi-scale approaches. 8th International Congress on Environmental Modelling and Software, Jul 2016, Toulouse, France. 〈hal-01326398〉

Partager

Métriques

Consultations de la notice

42

Téléchargements de fichiers

95