The University of Liège wishes to use cookies or trackers to store and access your personal data, to perform audience measurement. Some cookies are necessary for the website to function. Cookie policy.
[en] In terms of publishing in open access, the transparent handling of the interpretation model is even more crucial. For example, for numerical modelling in groundwater science, such kind of field observatories (i.e. databases) are very useful utilities as those allow an extensive, secured and scientific validated access to data and long time series. In addition, field observatories provide the possibility to use a unique structuration of the data sets used for modelling, which is an additional motivation for data transparency. During the first workshop of the ENIGMA ITN (https://enigma-itn.eu/), the students were introduced in the database of the H+ Network. The H+ Network maintain and coordinate a network of experimental sites in Europe and India, and provide data relevant to the water cycle and transport processes in aquifers. The present guide explains fundamental concepts and the structure of the H+ Network database. In addition, the document provides a step-by-step guideline about inserting and extracting data to and from the database of the H+ Network, respectively. For that a pumping test data set, collected for an alluvial sediment in Europe (Hermalle-sous-Argenteau site by Liege), is used.
Disciplines :
Geological, petroleum & mining engineering
Author, co-author :
Hoffmann, Richard ; Université de Liège - ULiège > Form. doct. sc. ingé. & techn. (archi., gén. civ. - paysage)