Introduction à l'hygiène du travail : un support de formation

[Table des matières] A. Cadre et contexte général : Place et démarche de santé au travail ; Place de l'hygiène du travail dans la santé au travail ; Approche pluridisciplinaire et équipe de santé au travail ; Interface avec d'autres acteurs ; Gestion du risque ; Concept général ; Les outils du management ; La notion de risque acceptable. - B. Hygiène et sécurité du travail : Définition et historique de l'hygiène du travail ; Défis et perspectives ; Ethique professionnelle ; Démarche de l'hygiène du travail ; Méthode d'analyse des risques. - C. Identification des dangers : Méthodes ; Etiquetage des produits chimiques. - D. Evaluation des risques : Généralités ; Stratégie ; Normes ; Risques chimiques ; Toxicologie ; Gaz, vapeurs ; Aérosols ; Amiante ; Surveillance biologique ; Laboratoires ; Risques physiques ; Le Bruit ; Les vibrations ; Les radiations ionisantes ; Rayonnement optique et lasers ; Radiofréquence et rayonnements de basse fréquence ; Le stress thermique ; Environnements hypo- et hyperbares ; les risques biologiques ; Facteurs généraux liés à l'ambiance ; Aspects ergonomiques ; Généralités ; Charge physique ; Organisation du travail ; Instruments de mesure. - E. Maîtrise du risque : Organisation de la prévention ; Un nouveau concept de gestion du risque ; Prévention technique ; A la source - substitution ; A l'interface - ventilation ; Sur la cible. Equipements de protection individuelle ; Au niveau du travailleur - Prévention médicale ; Information et formation des travailleurs

Orbitally forced ice sheet fluctuations during the Marinoan Snowball Earth glaciation

Two global glaciations occurred during the Neoproterozoic. Snowball Earth theory posits that these were terminated after millions of years of frigidity when initial warming from rising atmospheric CO2 concentrations was amplified by the reduction of ice cover and hence a reduction in planetary albedo. This scenario implies that most of the geological record of ice cover was deposited in a brief period of melt-back. However, deposits in low palaeo-latitudes show evidence of glacial–interglacial cycles. Here we analyse the sedimentology and oxygen and sulphur isotopic signatures of Marinoan Snowball glaciation deposits from Svalbard, in the Norwegian High Arctic. The deposits preserve a record of oscillations in glacier extent and hydrologic conditions under uniformly high atmospheric CO2 concentrations. We use simulations from a coupled three-dimensional ice sheet and atmospheric general circulation model to show that such oscillations can be explained by orbital forcing in the late stages of a Snowball glaciation. The simulations suggest that while atmospheric CO2 concentrations were rising, but not yet at the threshold required for complete melt-back, the ice sheets would have been sensitive to orbital forcing. We conclude that a similar dynamic can potentially explain the complex successions observed at other localities

The Need for Laboratory Measurements and Ab Initio Studies to Aid Understanding of Exoplanetary Atmospheres

We are now on a clear trajectory for improvements in exoplanet observations that will revolutionize our ability to characterize their atmospheric structure, composition, and circulation, from gas giants to rocky planets. However, exoplanet atmospheric models capable of interpreting the upcoming observations are often limited by insufficiencies in the laboratory and theoretical data that serve as critical inputs to atmospheric physical and chemical tools. Here we provide an up-to-date and condensed description of areas where laboratory and/or ab initio investigations could fill critical gaps in our ability to model exoplanet atmospheric opacities, clouds, and chemistry, building off a larger 2016 white paper, and endorsed by the NAS Exoplanet Science Strategy report. Now is the ideal time for progress in these areas, but this progress requires better access to, understanding of, and training in the production of spectroscopic data as well as a better insight into chemical reaction kinetics both thermal and radiation-induced at a broad range of temperatures. Given that most published efforts have emphasized relatively Earth-like conditions, we can expect significant and enlightening discoveries as emphasis moves to the exotic atmospheres of exoplanets.Comment: Submitted as an Astro2020 Science White Pape

Investigating plausible mechanisms to trigger a deglaciation from a hard snowball Earth

International audienceAmong the issues raised by the globally ice-covered Earth, or a so-called 'hard' snowball-Earth scenario, one of the most important is to establish the CO 2 threshold required for the deglaciation. This problem has been addressed using the Energy-Balance Model (or EBM), which showed that for Neoproterozoic insolation, 0.29 bar of CO 2 would be needed to trigger deglaciation. New results, obtained with the Atmospheric General Circulation Model (AGCM) FOAM (for Fast Oceanic Atmospheric Model), have demonstrated that, even with an atmospheric content of 0.2 bar, the equatorial temperature remained far below the level required for the deglaciation. Those results show that the cause of deglaciation is unresolved and the discussion about a plausible escape scenario remains open. For this reason, to test and to determine the sensitivity and efficiency of the greenhouse effect during a 'hard' snowball-Earth, we compare the FOAM results with those of LMDz (AGCM of the 'Laboratoire de météorologie dynamique'). The preliminary results show that LMDz is much more sensitive to a CO 2 increase than FOAM. This article shows that among processes that could explain this difference, the key factor is the cloud parameterization and its interaction with the convective scheme. These simulations suggest that the CO 2 threshold is dependent on the GCM parameterization used, and could be lower than the one suggested by FOAM. Moreover, to investigate other plausible mechanisms able to melt the equatorial ice, we have tested the CH 4 impact with a simple 0D model, INCA-ZD. Results show that the balance between the residence times of CH 4 in a 'hard' snowball-Earth scenario is largely overcome by the extinction of the organic source, which means that CO 2 remains the only greenhouse gas warming the snowball Earth. To cite this article

MORM--a Petri net based model for assessing OH&S risks in industrial processes: modeling qualitative aspects.

Because of the increase in workplace automation and the diversification of industrial processes, workplaces have become more and more complex. The classical approaches used to address workplace hazard concerns, such as checklists or sequence models, are, therefore, of limited use in such complex systems. Moreover, because of the multifaceted nature of workplaces, the use of single-oriented methods, such as AEA (man oriented), FMEA (system oriented), or HAZOP (process oriented), is not satisfactory. The use of a dynamic modeling approach in order to allow multiple-oriented analyses may constitute an alternative to overcome this limitation. The qualitative modeling aspects of the MORM (man-machine occupational risk modeling) model are discussed in this article. The model, realized on an object-oriented Petri net tool (CO-OPN), has been developed to simulate and analyze industrial processes in an OH&S perspective. The industrial process is modeled as a set of interconnected subnets (state spaces), which describe its constitutive machines. Process-related factors are introduced, in an explicit way, through machine interconnections and flow properties. While man-machine interactions are modeled as triggering events for the state spaces of the machines, the CREAM cognitive behavior model is used in order to establish the relevant triggering events. In the CO-OPN formalism, the model is expressed as a set of interconnected CO-OPN objects defined over data types expressing the measure attached to the flow of entities transiting through the machines. Constraints on the measures assigned to these entities are used to determine the state changes in each machine. Interconnecting machines implies the composition of such flow and consequently the interconnection of the measure constraints. This is reflected by the construction of constraint enrichment hierarchies, which can be used for simulation and analysis optimization in a clear mathematical framework. The use of Petri nets to perform multiple-oriented analysis opens perspectives in the field of industrial risk management. It may significantly reduce the duration of the assessment process. But, most of all, it opens perspectives in the field of risk comparisons and integrated risk management. Moreover, because of the generic nature of the model and tool used, the same concepts and patterns may be used to model a wide range of systems and application fields

Biological exposure indicators: quantification of biological variability using toxicokinetic modeling

Compartmental and physiologically based toxicokinetic modeling coupled with Monte Carlo simulation were used to quantify the impact of biological variability (physiological, biochemical, and anatomic parameters) on the values of a series of bio-indicators of metal and organic industrial chemical exposures. A variability extent index and the main parameters affecting biological indicators were identified. Results show a large diversity in interindividual variability for the different categories of biological indicators examined. Measurement of the unchanged substance in blood, alveolar air, or urine is much less variable than the measurement of metabolites, both in blood and urine. In most cases, the alveolar flow and cardiac output were identified as the prime parameters determining biological variability, thus suggesting the importance of workload intensity on absorbed dose for inhaled chemicals