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Les enjeux politiques de la géographie de l’asile. Répartition territoriale, dispersion et trajectoires résidentielles des exilés en France métropolitaine
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Equilibrium partition coefficients of semi-volatile organic compounds (SVOCs) between indoor surfaces and air assessed using two experimental methods
No full textInternational audienceIndoor exposure to semi-volatile organic compounds (SVOCs) is affected by their sorption onto indoor surfaces such as clothes, toys, building materials and furniture. They are transferred from these contaminated surfaces to the body via various routes such as skin contact, inhalation or hand-to-mouth transfer. Knowledge of their sink surface/air partition coefficients KSurf are needed to apply indoor fate models and assess occupants’ exposure to SVOCs.Partition coefficients of triphenyl phosphate (TPP), 2-ethylhexyl diphenyl phosphate (EHDPP) and 1,2-cyclohexane-dicarboxylic acid, dinonyl ester (DINCH) on cotton, glass and stainless steel (SS) surfaces were experimentally determined using two different methods. In the Micro-Chamber/Thermal Extractor (M-CTE), Kcotton values were close to 104 m. For this method, improvements were proposed to investigate the sorption on surfaces having lower sorption capacities such as glass or SS. In the sandwich-like emission cell, Kglass and KSS values ranged from 20 to 465 m, and from 99 to 1570 m, respectively. In coherence with the literature, sorption on cotton was higher than on SS and glass. Moreover, based on literature data, the SVOC vapor pressure (VP) could be a good predictor of KSurf for non-porous surfaces such as SS and glass. For porous surfaces (cotton), additional parameters related to the surface (porosity or composition) should be used with VP. Strong sorption capacity of cotton reinforces the health risk posed by contaminated clothes. This study highlights the need for further research to understand the key parameters of SVOC sorption on textiles
Léon Parvillée. De Constantinople à Paris : l’innovation par les arts turcs
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Du bœuf contre des voitures : quand le Mercosur sacrifie le climat sur l'autel du libre-échange
No full textInternational audienceLe 21 janvier 2026, le Parlement européen a saisi la CJUE afin qu'elle se prononce sur la compatibilité des accords UE-Mercosur avec les traités, en soulignant les risques qu'ils font peser sur l'autonomie de l'Union et la protection de l'environnement
When a forest is masked by trees: How French subsurface industries involved in decarbonisation and transition policies are instrumentalising poor social acceptance
No full textInternational audienceMany policy-makers and industrialists consider that, over and above technology, social acceptance is the main obstacle to any decarbonised industrial use of the subsurface. Our aim in this paper is to challengeand criticise this point of view, by showing that even if a lack of social acceptance can explain the non-deployment of some subsurface technologies, generalising this explanation to every industrial failure hidessometimes intentionally the different reasons explaining why various promises from subsurface industries have failed to materialise in France. Through an analysis of three subsurface industries over a period of 15 years (underground carbon storage, shale gas development and mining prospects), this article shows how a coalition of subsurface industries and policymakers have built up a narrative emphasising the lack of social acceptability. We first show why the narratives about the lack of social acceptance fail to describe the various conflicts and project failures, and then categorise three different ways the lack of social acceptance is used to describe opponents, hide other reasons for failure and obtain policy reforms. We discuss the limitations of these frames to promote energy transition projects and the use of the very notion of social acceptance
Hunting and fishing harvest data collection: a horizon scanning exercise from the French context
No full textInternational audienceLegal and societal moves increasingly lead leisure hunting and fishing practitioners to record their harvest. The total number of individuals harvested per population per year is the minimum required information to feed into demographic models and allow science‐based management. Some few schemes record more detailed data, hence allowing better‐informed decisions to be made. France has an extended list of legally harvested species and a wide variety of exploitation modes, which leads to a large number of harvest data collection schemes. This country is therefore taken as a case study to review the variety of situations and the pros and cons of each protocol. This review outlines a set of best practices that can guide future harvest data collection schemes both nationally and internationally, distinguishing basic information that is needed for minimum management from additional data that allow for more detailed knowledge. It highlights the trade‐off between using simple tools and clear protocols to encourage user participation, and the need for more detailed data to support advanced modeling techniques used for modern population and harvest management
Rapport d’expertise relatif à l’état des connaissances des populations du Silure Silurus glanis et de ses impacts sur la gestion équilibrée des populations piscicoles
No full textLe présent document est une synthèse des connaissances concernant l’écologie du silure, son statut, ses impacts sur la biodiversité, ses caractéristiques dans une perspective de valorisation économique ainsi que les mesures de régulation de l’espèce. Il vise à éclairer les pouvoirs publics dans les politiques de gestion du silure et, plus récemment, de conservation des migrateurs amphihalins. Il a vocation à être régulièrement mis à jour, en fonction notamment des études et des retours d’expérience
A new non-parametric estimator of the cumulative distribution function under time-and random-censoring
No full textInternational audienceIn this paper, we first provide a review of different non-parametric estimators for the cumulative distribution function under left-censoring. We then propose a new estimator based on a non-parametric likelihood approach using reversed hazard rate. Finally, we conclude with an application to a real data