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Monash University (2020)

Assimilating remotely sensed evapotranspiration data into next-generation hydrogeological models

GELSINARI SIMONE

Titre : Assimilating remotely sensed evapotranspiration data into next-generation hydrogeological models

Auteur : GELSINARI SIMONE

Université de soutenance : Monash University

Grade : Doctor of Philosophy (PhD) 2020

Résumé
Groundwater resource is the most reliable source of water for arid and semi-arid regions. Guaranteeing the sustainable management of this resource is one of the most important hydrogeological challenges. Because groundwater modeling is always affected by uncertainty, model-data fusion methods, such as data assimilation, can be used to constrain and quantify the uncertainty in the model results. This thesis presents a method for the assimilation of evapotranspiration data into hydrogeological models.

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Page publiée le 11 mars 2021