Gelsinari_(27588165)_Thesis.pdf (56.12 MB)

Assimilating remotely sensed evapotranspiration data into next-generation hydrogeological models

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thesis
posted on 21.08.2020, 01:47 by SIMONE GELSINARI
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.

History

Campus location

Australia

Principal supervisor

Valentijn Pauwels

Additional supervisor 1

Edoardo Daly

Additional supervisor 2

Rebecca Doble

Year of Award

2020

Department, School or Centre

Civil Engineering

Additional Institution or Organisation

CSIRO

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Exports