Biological journal of the Linnean Society 136(3): 417-422. (2022) Climate change negatively affects Amazonian social wasps. Dejean A., Corbara B., Azémar F., Petitclerc F., Burban B., Talaga S.(2022) Zooplankton distribution and community structure as a function of environmental variables in the Niger River and its tributaries in Niger. Science of the Total Environment (accepted) (2022) Long-term phytoplankton dynamics in the Zeeschelde estuary (Belgium) are driven by the interactive effects of de-eutrophication, altered hydrodynamics and extreme weather events. A., Sabbe K., Dasseville R., Daveloose I., Verstraete T., D’hondt S., Azémar F., Sossou A. Annales de la Société Entomologique de France. (2023) Presence of the European bone-skipper fly Thyreophora cynophila (Panzer, 1798) (Diptera: Piophilidae) larvae in the cerebral cavity of large mammals and report of different insect larvae living inside mammals’ bones. Larquier C., Azémar F., Braet Y., Weiss L., Compin A.& Pelozuelo L.Member of expert commitees for the HCERES: evaluation of the research unit BOREA (2017) and DYNECO (2021).Member of the Personnel Commity of the Science and Engeneree Faculty, since 2020.Member (elected) of the Council of Science and Engeneree Faculty, since 2020.Member of the health and safety commission (4R1 site).Member of the laboratory informatic commission.Fish farm impact on the Céret river, co-responsible with EGIS-Eau.Responsible of the Biologic analysis platform.Responsible of the Scientific SCUBA diving teamof EcoLab, since 2007.Impact of the city of Niamey on the zooplankton community of the Niger river. Structure and planktonic functioning of the Pertuis-Charentais marshes: effect of the marine submersion events on their ecological functions.
Azemar frederic windows#
Furthermore we discuss the application of this model for flood risk evaluation across Europe, specifically by interpretation of some key model results, such as spatial and temporal correlations of precipitation and discharge for various aggregation periods and evaluation windows (e.g., precipitation and discharge maxima over a month, and their correlations in both space and time), as well as effects of seasonality on precipitation and discharge regimes. Moreover, by providing these forcings to our hydrological model, we are able to adequately reflect the corresponding hydrological response in terms of discharge. Our results show that by applying the model we are able to simulate input forcings such that the statistics compare favourably with those of observations.
In this work, additionally to giving an overview of the European Flood Model that is currently being developed at RMS, we describe the development and the analysis of a coherent, continent-wide set of stochastic model forcings and their effect on large-scale flood modelling. As flood risk can conceptually be regarded as the result of the combined effects of intense local precipitation (triggering local "pluvial" flood events), and high river discharge (driving large-scale "fluvial" floods), there is a need to model both these variables in such a way that the statistics at any one location as well as the correlations in space and time are aptly described.
Azemar frederic drivers#
Secondly, it's also relevant to the insurance sector to model spatio-temporal correlations of the drivers of flood loss correctly across the entire domain, in order to not over- or underestimate the financial consequences of flood events. Firstly, the insurance sector has an interest in large-scale models (viz., country scale and larger), so that flood risk across their entire portfolio, which is often geographically dispersed over a large area, can be consistently assessed.
Flood risk models as developed for the insurance sector tend to have two distinct features that set them apart from many other model applications.
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