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Inproceedings Reference Towards a cross-border hydrogeological model: harmonized data integration within the H3O-projects
Located in Library / RBINS Staff Publications
Inproceedings Reference PSI analysis of TSX archive data for urban geohazard risk management: preliminary results from Brussels
Located in Library / RBINS Staff Publications
Article Reference The role of long-term human impact on avulsion and fan development
This study aims to understand (mainly qualitatively) the long-term role of human impact on avulsion processes and the development of fluvial (mega-) fans in semi-arid environments. In this paper we refer to human impact as the direct influences of actions on the river's hydraulics (i.e. flow regulation, flow diversion and channel engineering). In five case-studies drawn from the Khuzestan plains in southwest Iran we have analysed the setup and triggering conditions of specific avulsions that occurred in the past (timescale of millennia) and identified the role of human interference in their causation. Our analysis is based on the integration of historical, archaeological, geomorphological and geological data. Through this study we demonstrate that avulsions in the Khuzestan plains are the result of long-term and complex interplay between multiple human-induced and natural causes. In similar ways human-induced actions may play important roles during different phases of avulsion development. The ‘success‘ of an avulsion in the post-triggering phase may be defined by human-induced setup causes as well as morphodynamic processes. We suggest that present-day flood events may be partly inherited from long-term human alterations of the natural processes. These finding could have implications for any fluvial system (e.g. distributive fluvial systems, deltas) where avulsion plays a major role in their development and research tends to emphasize on natural mechanisms.
Located in Library / RBINS Staff Publications
Inbook Reference Analyses des restes fauniques
Located in Library / RBINS Staff Publications 2021
Article Reference Taintignies (Rumes) – « Le Pèlerin » : site artisanal (et d’extraction ?) du Haut-Empire et réoccupation rurale tardo-romaine
Located in Library / RBINS Staff Publications 2019
Article Reference Data assimilation with the ensemble Kalman filter in a numerical model of the North Sea
Coastal management and maritime safety strongly rely on accurate representations of the sea state. Both dynamical models and observations provide abundant pieces of information. However, none of them provides the complete picture. The assimilation of observations into models is one way to improve our knowledge of the ocean state. Its application in coastal models remains challenging because of the wide range of temporal and spatial variabilities of the processes involved. This study investigates the assimilation of temperature profiles with the ensemble Kalman filter in 3-D North Sea simulations. The model error is represented by the standard deviation of an ensemble of model states. Parameters’ values for the ensemble generation are first computed from the misfit between the data and the model results without assimilation. Then, two square root algorithms are applied to assimilate the data. The impact of data assimilation on the simulated temperature is assessed. Results show that the ensemble Kalman filter is adequate for improving temperature forecasts in coastal areas, under adequate model error specification.
Located in Library / RBINS Staff Publications 2016
Article Reference Geniation and the genus concept in ancient lakes
Located in Library / RBINS Staff Publications
Article Reference Speciation in ancient lake ostracods: comparative analysis of Baikalian Cytherissa and Tanganyikan Cyprideis
Located in Library / RBINS Staff Publications
Article Reference Reproductive mode and habitat stability: the example of ancient lake Ostracoda
Located in Library / RBINS Staff Publications
Article Reference Biodiversity and molecular phylogeny - ostracods from ancient lakes
Located in Library / RBINS Staff Publications