Search

Your search keyword '"Atmo Normandie"' showing total 23 results
Start Over Author "Atmo Normandie"
23 results on '"Atmo Normandie"'

1. PIRATE (Port Inventories ReAl TimE): Overview of an upcoming French-Korean project

Author

Riffault, Véronique, d'Anna, B., Roustan, Yelva, Escat, Emmanuel, Cortinovis, Jérôme, Armengaud, Alexandre, Lim, Hyoji, Lee, Yongchan, Lee, Heekwan, Centre for Energy and Environment (CERI EE - IMT Nord Europe), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Laboratoire Chimie de l'environnement (LCE), Aix Marseille Université (AMU)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Centre d'Enseignement et de Recherche en Environnement Atmosphérique (CEREA), École des Ponts ParisTech (ENPC)-EDF R&D (EDF R&D), EDF (EDF)-EDF (EDF), ATMO Hauts de France [Lille], Atmo Normandie, AtmoSud, Incheon National University, and ANR-11-LABX-0005,Cappa,Physiques et Chimie de l'Environnement Atmosphérique(2011)

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere
Published
2021

2. Arabitol, mannitol, and glucose as tracers of primary biogenic organic aerosol: the influence of environmental factors on ambient air concentrations and spatial distribution over France

Author

A. Samaké, J.-L. Jaffrezo, O. Favez, S. Weber, V. Jacob, T. Canete, A. Albinet, A. Charron, V. Riffault, E. Perdrix, A. Waked, B. Golly, D. Salameh, F. Chevrier, D. M. Oliveira, J.-L. Besombes, J. M. F. Martins, N. Bonnaire, S. Conil, G. Guillaud, B. Mesbah, B. Rocq, P.-Y. Robic, A. Hulin, S. Le Meur, M. Descheemaecker, E. Chretien, N. Marchand, G. Uzu, Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), Institut National de l'Environnement Industriel et des Risques (INERIS), Département S.A.G.E (SAGE), École des Mines de Douai (Mines Douai EMD), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Laboratoire de Chimie Moléculaire et Environnement (LCME), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Grenoble Alpes (UGA), Laboratoire Chimie de l'environnement (LCE), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS), Agence Nationale pour la Gestion des Déchets Radioactifs (ANDRA), Atmo Rhone-Alpes, Atmo-Sud, GeographR, ATMO Hauts de France [Lille], Atmo Occitanie, Atmo Nouvelle-Aquitaine, Atmo Normandie, Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Atmo Grand Est, Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre for Energy and Environment (CERI EE - IMT Nord Europe), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), Institut Mines-Télécom [Paris] (IMT), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Aix Marseille Université (AMU)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Chimie Atmosphérique Expérimentale (CAE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut de Recherche pour le Développement (IRD)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre for Energy and Environment (CERI EE), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Institut de Chimie du CNRS (INC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), and Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)

Subjects
Atmospheric Science, 010504 meteorology & atmospheric sciences, 010501 environmental sciences, Spatial distribution, Atmospheric sciences, 01 natural sciences, GEOF, lcsh:Chemistry, chemistry.chemical_compound, Arabitol, environmental factors, Tracers, Relative humidity, 0105 earth and related environmental sciences, 2. Zero hunger, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], Topsoil, polyols, Detritus, Vegetation, 15. Life on land, Debris, primary biogenic organic aerosol, lcsh:QC1-999, Aerosol, chemistry, lcsh:QD1-999, 13. Climate action, [SDE]Environmental Sciences, Environmental science, lcsh:Physics
Abstract

International audience; The primary sugar compounds (SCs, defined as glucose, arabitol, and mannitol) are widely recognized as suitable molecular markers to characterize and apportion primary biogenic organic aerosol emission sources. This work improves our understanding of the spatial behavior and distribution of these chemical species and evidences their major effective environmental drivers. We conducted a large study focusing on the daily (24 h) PM 10 SC concentrations for 16 increasing space scale sites (local to nationwide), over at least 1 complete year. These sites are distributed in several French geographic areas of different environmental conditions. Our analyses, mainly based on the examination of the short-term evolutions of SC concentrations, clearly show distance-dependent correlations. SC concentration evo-lutions are highly synchronous at an urban city scale and remain well correlated throughout the same geographic re-Published by Copernicus Publications on behalf of the European Geosciences Union. 11014 A. Samaké et al.: Arabitol, mannitol, and glucose as tracers of primary biogenic organic aerosol gions, even if the sites are situated in different cities. However , sampling sites located in two distinct geographic areas are poorly correlated. Such a pattern indicates that the processes responsible for the evolution of the atmospheric SC concentrations present a spatial homogeneity over typical areas of at least tens of kilometers. Local phenomena, such as the resuspension of topsoil and associated microbiota, do no account for the major emissions processes of SC in urban areas not directly influenced by agricultural activities. The concentrations of SC and cellulose display remarkably synchronous temporal evolution cycles at an urban site in Greno-ble, indicating a common source ascribed to vegetation. Additionally , higher concentrations of SC at another site located in a crop field region occur during each harvest periods, indicating resuspension processes of plant materials (crop de-tritus, leaf debris) and associated microbiota for agricultural and nearby urbanized areas. Finally, ambient air temperature, relative humidity, and vegetation density constitute the main effective drivers of SC atmospheric concentrations.

Published
2019
Full Text
View/download PDF

3. Air pollution modeling and exposure assessment during pregnancy in the French Longitudinal Study of Children (ELFE)

Author

Elsa Real, Laure Malherbe, Julien Bernard, Fabrice Dugay, Emmanuel Riviere, Emie Seyve, Damien Piga, Anne Laborie, Pierre-Yves Robic, Jonathan Virga, Jérôme Cortinovis, Marie Cheminat, Johanna Lepeule, Cécile Zaros, Agnès Hulin, Marie-Aline Charles, François Ducroz, Atmo Grand Est, Atmo Nouvelle-Aquitaine, Atmo Sud, AIRPARIF - Surveillance de la qualité de l'air en Île-de-France, Etude longitudinale française depuis l'enfance (UMS : Ined-Inserm-EFS) (ELFE), Institut national d'études démographiques (INED)-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Atmo Normandie, Air Pays de la Loire, ATMO, Institut National de l'Environnement Industriel et des Risques (INERIS), Atmo Occitanie, Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB), Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Civs, Gestionnaire, EFS-Institut national d'études démographiques (INED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])

Subjects
[SDE] Environmental Sciences, Atmospheric Science, Longitudinal study, 010504 meteorology & atmospheric sciences, Scale (ratio), Air pollution, 010501 environmental sciences, medicine.disease_cause, 01 natural sciences, Spearman's rank correlation coefficient, 11. Sustainability, Statistics, medicine, COHORT, 0105 earth and related environmental sciences, General Environmental Science, Exposure assessment, Pollutant, Simulation modeling, Atmospheric dispersion modeling, EXPOSURE ASSESSMENT, 3. Good health, AIR POLLUTION, PREGNANCY, 13. Climate action, [SDE]Environmental Sciences, Environmental science, DISPERSION MODELING
Abstract

We developed a nation-wide exposure model to NO2, PM10 and PM2.5 at a fine spatial and temporal resolution for France in order to study air pollutants exposure during pregnancy for the French Longitudinal Study of Children (ELFE). The exposure to air pollutants was estimated daily for years 2010 and 2011 by combining three simulation models at the national and regional scale (CHIMERE) and at the local urban scale (ADMS-Urban or SIRANE). The spatial resolution was 4 km for the national scale model, 3–4 km for regional models and from 10 to 200 m for urban-scale models. We developed a confidence index (from 0 to 10) based on the target plot to identify the best model to estimate exposure for a given address, year and pollutant. Air pollution exposure during pregnancy was then estimated using each modeling scale for the 17,427 women participating in the ELFE cohort. We described the exposure of the women during different time windows of pregnancy using each of the three models and using the most suitable model as estimated by the confidence index. The exposure estimates obtained from the three models were quite similar and highly correlated (spearman correlation between 0.64 and 0.96), especially for the national and regional models. For NO2 and PM10 predicted by the urban models, the minimum values were lower and the maximum values and the variability were higher, compared to the regional and national models. The averaged confidence indexes were comprised between 5.6 and 8 depending on the pollutant, year and exposure model considered. The best confidence index was observed for urban modeling (10) and the lowest for the regional modeling (0). In average during pregnancy, using the most suitable model, women were exposed to 21 μg/m3 for NO2, 16 μg/m3 for PM2.5 and 24 μg/m3 for PM10. To our knowledge, this is the first study combining three modeling tools available at different scales to estimate NO2, PM10 and PM2.5 concentrations at a fine spatial and temporal resolution over a large geographical area. The confidence index provides guidance in the choice of the exposure model. These exposure estimates will be used to investigate potential effects of air pollutants on the pregnant woman health and on health of the fetus and development of the child.

Published
2019
Full Text
View/download PDF

4. Objective odor analysis of incidentally emitted compounds using the Langage des Nez® method: application to the industrial zone of Le Havre

Author

Géraldine Savary, Céline Leger, Nicolas Hucher, Sabine Crunaire, Charbel Hawko, Marie Verriele, Nadine Locoge, Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), Institut Mines-Télécom [Paris] (IMT), Unité de Recherche en Chimie Organique et Macromoléculaire (URCOM), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), and Atmo Normandie

Subjects
Chromatography, Gas, Computer science, Health, Toxicology and Mutagenesis, Context (language use), 010501 environmental sciences, computer.software_genre, Lexicon, 01 natural sciences, Sensory analysis, Industrial zone, Industry, Environmental Chemistry, Analysis method, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, Air Pollutants, business.industry, General Medicine, Pollution, Identification (information), Categorization, Odor, Odorants, [SDE]Environmental Sciences, France, Artificial intelligence, business, computer, Natural language processing
Abstract

Environmental odor studies are usually done using two approaches: nuisance impact assessment and source identification. The latter may be done using chemical analysis or sensory analysis. While sensory analyses offer many advantages, they also face the main obstacle: odor nature description still uses conventional methods based on subjective evocations as odor descriptors. This makes the sensory method ineffective especially when the expected outcome is the source identification in the context of an industrial accident. This work wants to fulfill this gap proposing to build an objective database including the odor nature description of selected potentially emitted compounds using a promising approach: the Langage des Nez® (LdN). Using definite odorous compounds as odor referents, this work provides the odor nature description of 44 compounds, reported as potential incidentally released chemical compounds in the industrial zone of Le Havre. The city of Le Havre, France, was chosen as a model due to a history of odorous emissions of industrial origins. A trained panel described the odor of each compound using up to three referents of the LdN referents collection and attributed a score to each referent. A data analysis method was developed based on the frequency of citation of the referents and the attributed scores allowing the categorization of each compound in three types of consensus categories. The data analysis results showed that around 80% of compounds were described with a good consensus, showing the LdN as a well-adapted lexicon. This study does not point to any correlation between the chemical structures of the compounds of interest and their relative referents. When compared to conventional methods, LdN revealed a more objective and precise approach. The proposed experimental method and the results provided in this work offer the first insight for time-efficient approaches to objectively describe environmental odors, especially potentially emitted odors during incidents. This work may be supplemented by abatement and mixture effect investigations for a complete understanding of odor dispersion.

Published
2021
Full Text
View/download PDF

5. Overview of the French Operational Network for In Situ Observation of PM Chemical Composition and Sources in Urban Environments (CARA Program)

Author

Joel Savarino, Jean-Eudes Petit, Gilles Levigoureux, Shouwen Zhang, Sabrina Pontet, Laurent Y. Alleman, Florie Chevrier, Carole Boullanger, Raphaële Falhun, Gaëlle Uzu, Jean-Luc Besombes, Nicolas Bonnaire, Samuël Weber, Deepchandra Srivastava, Abdoulaye Samaké, Dalia Salameh, Arnaud Papin, Valérie Gros, Véronique Riffault, Yunjiang Zhang, Anais Detournay, Caroline Marchand, Alexandre Albinet, Nicolas Marchand, Marta Dominik-Sègue, Céline Garbin, Mélodie Chatain, Eva Leoz-Garziandia, Véronique Ghersi, Sébastien Conil, Jérôme Rangognio, Tanguy Amodeo, Guillaume Grignion, Robin Aujay-Plouzeau, Jean-Luc Jaffrezo, Benjamin Chazeau, Olivier Favez, Institut National de l'Environnement Industriel et des Risques (INERIS), LCSQA - Laboratoire Central de Surveillance de la Qualité de l’Air, Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Chimie Atmosphérique Expérimentale (CAE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), Institut Mines-Télécom [Paris] (IMT), Centre for Energy and Environment (CERI EE - IMT Nord Europe), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Laboratoire Chimie de l'environnement (LCE), Aix Marseille Université (AMU)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), AtmoSud, Madininair, Atmo Grand Est, Atmo Nouvelle-Aquitaine, Atmo Bourgogne Franche-Comté (ATMO BFC), Atmo Normandie, Air Breizh, Gwad'air, AIRPARIF - Surveillance de la qualité de l'air en Île-de-France, Qualitair Corse, Air Pays de la Loire, ATMO Auvergne-Rhône-Alpes (ATMO-AURA), LIG'AIR- Surveillance de la Qualité de l'Air en Région Centre, ATMO Hauts de France [Lille], Environnements, Dynamiques et Territoires de Montagne (EDYTEM), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Observatoire Pérenne de l'Environnement, Agence Nationale pour la Gestion des Déchets Radioactifs (ANDRA), French Ministry of Environment, ADEME, CNRS, CEA, ACTRIS-France (CLAP national observation service), ANDRA, ENS Paris, CARA program (LCSQA), CPER CLIMIBIO, SOURCES project (1462C0064), DECOMBIO project (1362C0028), PM-DRIVE project (1162C0002), CAMERA project (1062c0008), INACS project (1262c0011), QAMECS project (1262c0011), ANR-11-LABX-0005,Cappa,Physiques et Chimie de l'Environnement Atmosphérique(2011), ANR-10-LABX-0056,OSUG@2020,Innovative strategies for observing and modelling natural systems(2010), European Project: 262254,EC:FP7:INFRA,FP7-INFRASTRUCTURES-2010-1,ACTRIS(2011), European Project: 654109,H2020,H2020-INFRAIA-2014-2015,ACTRIS-2(2015), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Centre for Energy and Environment (CERI EE), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Institut de Chimie du CNRS (INC), Atmo Bourgogne Franche-Comté, Environnements, Dynamiques et Territoires de la Montagne (EDYTEM), and Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])

Subjects
In situ, Atmospheric Science, source, 010504 meteorology & atmospheric sciences, [SDE.MCG]Environmental Sciences/Global Changes, Aerosol chemical composition, lcsh:QC851-999, 010501 environmental sciences, Environmental Science (miscellaneous), Mineral dust, Reference laboratory, 01 natural sciences, 7. Clean energy, apportionment, Apportionment, 11. Sustainability, Air quality index, Chemical composition, 0105 earth and related environmental sciences, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, aerosol chemical composition, business.industry, Environmental resource management, Quality control, source apportionment, Particulates, atmospheric_science, Aerosol, monitoring strategies, 13. Climate action, urban air quality, Environmental chemistry, Environmental science, lcsh:Meteorology. Climatology, France, business, Quality assurance
Abstract

The CARA program has been developed since 2008 by the French reference laboratory for air quality monitoring (LCSQA) and the regional monitoring networks to gain a better knowledge at the national level on the particulate matter (PM) chemistry and its diverse origins in urban environments. It results of strong collaborations with international-level academic partners, allowing to bring state-of-the-art, straightforward and robust results and methodologies within operational air quality stakeholders (and subsequently, decision makers). Here, we illustrate some of the main outputs obtained over the last decade thanks to this program, regarding methodological aspects (both in terms of measurement techniques and data treatment procedures) as well as acquired knowledge on the predominant PM sources. Offline and online methods are used following well-suited quality assurance and quality control procedures, notably including inter-laboratory comparison exercises. Source apportionment studies are conducted using various receptor modeling approaches. Overall, the results presented herewith underline the major influences of residential wood burning (during the cold period) and road transport emissions (exhaust and non-exhaust ones, all along the year), as well as substantial contributions of mineral dust and primary biogenic particles (mostly during the warm period). Long-range transport phenomena, e.g., advection of secondary inorganic aerosols from the European continental sector and of Saharan dust into the French West Indies, are also discussed in this paper. Finally, we briefly address the use of stable isotope measurements (δ15N) and of various organic molecular markers for a better understanding of the origins of ammonium and of the different organic aerosol fractions, respectively.

Published
2021
Full Text
View/download PDF

6. Toward an objective odor characterization of compounds emitted in industrial zones : the Langage des Nez® as an efficient tool

Author

Charbel Hawko, Marie Verriele, Nicolas Hucher, Sabine Crunaire, Celine Leger, Nadine Locoge, Geraldine Savary, Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe), Institut Mines-Télécom [Paris] (IMT), Unité de Recherche en Chimie Organique et Macromoléculaire (URCOM), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), UNIVERSITE DU HAVRE, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), and Atmo Normandie

Subjects
TK7885-7895, Computer engineering. Computer hardware, Chemical engineering, [CHIM]Chemical Sciences, TP155-156, ComputingMilieux_MISCELLANEOUS
Abstract

When studying odour nuisance, sensory analyses show many advantages making these approaches essential along with chemical analyses. However, sensory analyses face the problem of subjectivity related to the panel. This subjectivity, even if it may be cured when assessing the odour intensity, is still an obstacle when describing the odour profile. One method offers a solution: The Langage des Nez®. This is an approach that uses definite chemical referents as odour descriptors. The aim of this work is to experiment the efficiency of this method when analysing the odour of incidentally emitted compounds in industrial zones. The odour of 44 chemical compound that can be released incidentally in the industrial zone of the city of Le Havre, France, was described using the Langage des Nez®. A trained panel was asked to describe the odour of each compound using one, two or three referents from the Langage des Nez® and attributing a score over 9 for the chosen referents as a degree of representativity. Based on the frequency of citation of each referent and the attributed scores, one two or three referents were chosen as odour descriptors. The obtained results reveal that no correlation can be clearly established between the chemical structure of the compound and its odour descriptor(s). The difference between odour profiles obtained using conventional methods from the literature and the ones using Langage des Nez® revealed that the later offers a more objective and precise lexicon. This work shows that the sensory approaches are indispensable when assessing odour nuisance. The use of Langage des Nez® upgrades these analyses to an objective and reliable tool to anticipate potentially emitted odours during industrial incidents in any industrial city.

Published
2021

7. Modeling the quality of odor mixtures in environment : a new approach using the experimental mixture design combined with the Langage des nez®

Author

Charbel Hawko, Marie Verriele, Nicolas Hucher, Sabine Crunaire, Celine Leger, Nadine Locoge, Geraldine Savary, Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe), Institut Mines-Télécom [Paris] (IMT), Unité de Recherche en Chimie Organique et Macromoléculaire (URCOM), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), UNIVERSITE DU HAVRE, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), and Atmo Normandie

Subjects
TK7885-7895, Computer engineering. Computer hardware, Chemical engineering, [CHIM]Chemical Sciences, TP155-156, ComputingMilieux_MISCELLANEOUS
Abstract

Odour nuisance can be caused by industrial emissions. Sensory analyses are efficient approaches when assessing these odours. However, two obstacles may interfere with sensory analyses and make odour sources identification harder: the subjectivity of the human panel and the poorly understood effect of odour mixtures on the quality of the final odour, when industrial emissions get mixed. To answer that question, an approach is proposed in this article combining the experimental mixture design with the Langage des Nez®, a method that uses chemical referents as odour descriptors reducing the subjectivity of the panel. Three odorous compounds were studied: propyl mercaptan, a-pinene and furfuryl mercaptan. They were mixed at different odour activity values. For each mixture, a sensory analysis was made to describe the odour with the Langage des Nez®. The variation of the odour profile with the composition was modelled. The obtained models were validated and represented in a 3D space enabling the visualisation of the evolution of the models. This approach is considered a cornerstone in better understanding the effect of odours mixtures thus removing this obstacle when assessing odour nuisance with the objective of identifying the odour sources using sensory analyses.

Published
2021

8. A review of environmental odor quantification and qualification methods : The question of objectivity in sensory analysis

Author

HAWKO, Charbel., VERRIELE, Marie., Hucher, N., CRUNAIRE, Sabine., LEGER, C., LOCOGE, Nadine., Savary, G., Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe), Institut Mines-Télécom [Paris] (IMT), UNIVERSITE DU HAVRE, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Atmo Normandie, Unité de Recherche en Chimie Organique et Macromoléculaire (URCOM), Université Le Havre Normandie (ULH), and Normandie Université (NU)-Normandie Université (NU)

Subjects
[SDE]Environmental Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2021

9. Maternal Ambient Exposure to Atmospheric Pollutants during Pregnancy and Offspring Term Birth Weight in the Nationwide ELFE Cohort

Author

Marion, Ouidir, Emie, Seyve, Emmanuel, Rivière, Julien, Bernard, Marie, Cheminat, Jérôme, Cortinovis, François, Ducroz, Fabrice, Dugay, Agnès, Hulin, Itai, Kloog, Anne, Laborie, Ludivine, Launay, Laure, Malherbe, Pierre-Yves, Robic, Joel, Schwartz, Valérie, Siroux, Jonathan, Virga, Cécile, Zaros, Marie-Aline, Charles, Rémy, Slama, Johanna, Lepeule, Civs, Gestionnaire, Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB), Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Atmo Grand Est, Etude longitudinale française depuis l'enfance (UMS : Ined-Inserm-EFS) (ELFE), Institut national d'études démographiques (INED)-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM), Atmo Normandie, Air Pays de la Loire, AIRPARIF - Surveillance de la qualité de l'air en Île-de-France, Atmo Nouvelle-Aquitaine, Ben-Gurion University of the Negev (BGU), Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers (ANTICIPE), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN)-Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-UNICANCER-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de l'Environnement Industriel et des Risques (INERIS), Atmo Occitanie, Harvard T.H. Chan School of Public Health, Atmo-PACA, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), EFS-Institut national d'études démographiques (INED)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU)-UNICANCER, and Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
[SDV.EE.SANT]Life Sciences [q-bio]/Ecology, environment/Health, Air Pollutants, Nitrogen Dioxide, air pollution, spatial autocorrelation, Article, fluids and secretions, Maternal Exposure, Pregnancy, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, term birth weight, Birth Weight, Humans, Medicine, [SDV.EE.SANT] Life Sciences [q-bio]/Ecology, environment/Health, Environmental Pollutants, Female, Particulate Matter, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Longitudinal Studies, Child, doubly robust, propensity score
Abstract

Background: Studies have reported associations between maternal exposure to atmospheric pollution and lower birth weight. However, the evidence is not consistent and uncertainties remain. We used advanced statistical approaches to robustly estimate the association of atmospheric pollutant exposure during specific pregnancy time windows with term birth weight (TBW) in a nationwide study. Methods: Among 13,334 women from the French Longitudinal Study of Children (ELFE) cohort, exposures to PM2.5, PM10 (particles &lt, 2.5 µm and &lt, 10 µm) and NO2 (nitrogen dioxide) were estimated using a fine spatio-temporal exposure model. We used inverse probability scores and doubly robust methods in generalized additive models accounting for spatial autocorrelation to study the association of such exposures with TBW. Results: First trimester exposures were associated with an increased TBW. Second trimester exposures were associated with a decreased TBW by 17.1 g (95% CI, −26.8, −7.3) and by 18.0 g (−26.6, −9.4) for each 5 µg/m3 increase in PM2.5 and PM10, respectively, and by 15.9 g (−27.6, −4.2) for each 10 µg/m3 increase in NO2. Third trimester exposures (truncated at 37 gestational weeks) were associated with a decreased TBW by 48.1 g (−58.1, −38.0) for PM2.5, 38.1 g (−46.7, −29.6) for PM10 and 14.7 g (−25.3, −4.0) for NO2. Effects of pollutants on TBW were larger in rural areas. Conclusions: Our results support an adverse effect of air pollutant exposure on TBW. We highlighted a larger effect of air pollutants on TBW among women living in rural areas compared to women living in urban areas.

Published
2021
Full Text
View/download PDF

10. Substantial brown carbon emissions from wintertime residential wood burning over France

Author

Valérie Gros, Griša Močnik, Véronique Jacob, Grégory Gille, Jean-Eudes Petit, Gilles Levigoureux, Florie Chevrier, Sabrina Pontet, Jean-Luc Jaffrezo, Yunjiang Zhang, Olivier Favez, Marta Dominik-Sègue, Eve Chretien, Alexandre Albinet, Institut National de l'Environnement Industriel et des Risques (INERIS), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Chimie Atmosphérique Expérimentale (CAE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Regional Network for Air Quality Monitoring, Atmo-PACA, ATMO Auvergne-Rhône-Alpes (ATMO-AURA), Atmo Grand Est, Atmo Normandie, University of Nova Gorica, Jozef Stefan Institute [Ljubljana] (IJS), European Project: 262254,EC:FP7:INFRA,FP7-INFRASTRUCTURES-2010-1,ACTRIS(2011), European Project: 654109,H2020,H2020-INFRAIA-2014-2015,ACTRIS-2(2015), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), and Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )

Subjects
Environmental Engineering, 010504 meteorology & atmospheric sciences, 010501 environmental sciences, Atmospheric sciences, 01 natural sciences, Radiative effect, chemistry.chemical_compound, Environmental Chemistry, Multi sites, Brown carbon, Biomass burning, Waste Management and Disposal, 0105 earth and related environmental sciences, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Mass absorption, integumentary system, Mass absorption efficiency, Levoglucosan, Residential wood burning, Pollution, 6. Clean water, chemistry, 13. Climate action, Geographic origin, Aerosol absorption, Environmental science, Wood burning, France
Abstract

International audience; levated concentrations of inorganic arsenic, one of the most potent environmental toxicants and carcinogens, have been detected in well water around Lake Poopó, Bolivia. This study aimed to assess human exposure to arsenic in villages around Lake Poopó, and also to elucidate whether the metabolism and detoxification of arsenic in this population is as efficient as previously indicated in other Andean areas. We recruited 201 women from 10 villages around Lake Poopó. Arsenic exposure was determined as the sum concentration of arsenic metabolites (inorganic arsenic; monomethylarsonic acid, MMA; and dimethylarsinic acid, DMA) in urine (U-As), measured by HPLC-HG-ICP-MS. Efficiency of arsenic metabolism was assessed by the relative fractions of the urinary metabolites. The women had a wide variation in U-As (range 12–407 μg/L, median 65 μg/L) and a markedly efficient metabolism of arsenic with low %MMA (median 7.7%, range: 2.2–18%) and high %DMA (80%, range: 54–91%) in urine. In multivariable-adjusted linear regression models, ethnicity (Aymara-Quechua vs. Uru), body weight, fish consumption and tobacco smoking were associated with urinary arsenic metabolite fractions. On average, the Uru women had 2.5 lower % (percentage unit) iAs, 2.2 lower %MMA and 4.7 higher %DMA compared with the Aymara-Quechua women. Our study identified several factors that may predict these women's arsenic methylation capacity, particularly ethnicity. Further studies should focus on mechanisms underlying these differences in arsenic metabolism efficiency, and its importance for the risk of arsenic-related health effects.

Published
2020
Full Text
View/download PDF

11. Importance of the PBOA fraction of PM10

Author

Abdoulaye Samaké, Jean-Luc Jaffrezo, Olivier Favez, Samuel Weber, Véronique Jacob, Alexandre Albinet, Véronique Riffault, Esperanza Perdrix, Antoine Waked, Benjamin Golly, Dalia Salameh, Florie Chevrier, Diogo Miguel Oliveira, Nicolas Bonnaire, Jean-Luc Besombes, Martins, Jean M. F., Sébastien Conil, Géraldine Guillaud, Boualem Mesbah, Benoit Rocq, Pierre-Yves Robic, Agnès Hulin, Sébastien Le Meur, Maxence Descheemaecker, Eve Chretien, Nicolas Marchand, Gaëlle UZU, Institut des Géosciences de l’Environnement (IGE), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Institut National de l'Environnement Industriel et des Risques (INERIS), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), Institut Mines-Télécom [Paris] (IMT), Centre for Energy and Environment (CERI EE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Chimie Atmosphérique Expérimentale (CAE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Laboratoire de Chimie Moléculaire et Environnement (LCME), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Agence Nationale pour la Gestion des Déchets Radioactifs (ANDRA), ATMO Auvergne-Rhône-Alpes (ATMO-AURA), Atmo-Sud, GeographR, ATMO Hauts de France [Lille], Atmo Occitanie, Atmo Nouvelle-Aquitaine, Atmo Normandie, LIG'AIR- Surveillance de la Qualité de l'Air en Région Centre, Atmo Grand Est, Laboratoire Chimie de l'environnement (LCE), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Institut de Chimie du CNRS (INC), Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre for Energy and Environment (CERI EE - IMT Nord Europe), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), and Aix Marseille Université (AMU)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDE.MCG]Environmental Sciences/Global Changes, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2019

12. Le Langage des Nez® : un atout pour limiter l’incidence d’une pollution olfactive – application à la zone industrialo-portuaire du Havre

Author

HAWKO, C., VERRIELE, M., Hucher, N., CRUNAIRE, S., LEGER, C., Locoge, N., Savary, G., Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), Institut Mines-Télécom [Paris] (IMT), UNIVERSITE DU HAVRE, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), and Atmo Normandie

Subjects
[INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2019

13. Comparison of PM10 Sources Profiles at 15 French Sites Using a Harmonized Constrained Positive Matrix Factorization Approach

Author

Jean-Luc Jaffrezo, Antoine Waked, Alexandre Albinet, Benoit Rocq, Laurent Y. Alleman, Olivier Favez, Géraldine Guillaud, Boualem Meshbah, Jean-Luc Besombes, Véronique Jacob, Agnès Hulin, Samuël Weber, Dalia Salameh, Marta Dominik-Sègue, Eve Chretien, Institut des Géosciences de l’Environnement (IGE), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut de Recherche pour le Développement (IRD)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Institut National de l'Environnement Industriel et des Risques (INERIS), Centre for Energy and Environment (CERI EE), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Institut Mines-Télécom [Paris] (IMT), Laboratoire LCME / Equipe Chimie de l'Environnement (LCME_CE), Laboratoire de Chimie Moléculaire et Environnement (LCME), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), ATMO Auvergne-Rhône-Alpes (ATMO-AURA), ATMO Hauts de France [Lille], Atmo Nouvelle-Aquitaine, Atmo Normandie, Atmo Grand Est, Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre for Energy and Environment (CERI EE - IMT Nord Europe), and Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe)

Subjects
Atmospheric Science, 010504 meteorology & atmospheric sciences, PM, Air pollution, Context (language use), lcsh:QC851-999, 010501 environmental sciences, Environmental Science (miscellaneous), Atmospheric sciences, medicine.disease_cause, 01 natural sciences, Representativeness heuristic, GEOF, similarity assessment, 11. Sustainability, medicine, [CHIM]Chemical Sciences, Nonnegative matrix, Air quality index, 0105 earth and related environmental sciences, Mathematical model, Homogeneity (statistics), source apportionment, Particulates, uncertainties, 13. Climate action, [SDE]Environmental Sciences, Environmental science, lcsh:Meteorology. Climatology, aerosols
Abstract

Receptor-oriented models, including positive matrix factorization (PMF) analyses, are now commonly used to elaborate and/or evaluate action plans to improve air quality. In this context, the SOURCES project has been set-up to gather and investigate in a harmonized way 15 datasets of chemical compounds from PM10 collected for PMF studies during a five-year period (2012&ndash, 2016) in France. The present paper aims at giving an overview of the results obtained within this project, notably illustrating the behavior of key primary sources as well as focusing on their statistical robustness and representativeness. Overall, wood burning for residential heating as well as road transport were confirmed to be the two main primary sources strongly influencing PM10 loadings across the country. While wood burning profiles, as well as those dominated by secondary inorganic aerosols, present a rather good homogeneity among the sites investigated, some significant variabilities were observed for primary traffic factors, illustrating the need to better characterize the diversity of the various vehicle exhaust and non-exhaust emissions. Finally, natural sources, such as sea salts (widely observed in internal mixing with anthropogenic compounds), primary biogenic aerosols and/or terrigenous particles, were also found as non-negligible PM10 components at every investigated site.

Published
2019
Full Text
View/download PDF

14. Polyols and glucose particulate species as tracers of primary biogenic organic aerosols at 28 French sites

Author

A. Samaké, J.-L. Jaffrezo, O. Favez, S. Weber, V. Jacob, A. Albinet, V. Riffault, E. Perdrix, A. Waked, B. Golly, D. Salameh, F. Chevrier, D. M. Oliveira, N. Bonnaire, J.-L. Besombes, J. M. F. Martins, S. Conil, G. Guillaud, B. Mesbah, B. Rocq, P.-Y. Robic, A. Hulin, S. Le Meur, M. Descheemaecker, E. Chretien, N. Marchand, G. Uzu, Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Université Grenoble Alpes (UGA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut National de l'Environnement Industriel et des Risques (INERIS), IMT Lille Douai, Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Université Lille Nord de France (COMUE), Laboratoire Chimie de l'environnement (LCE), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire LCME / Equipe Chimie de l'Environnement (LCME_CE), Laboratoire de Chimie Moléculaire et Environnement (LCME), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Ctr Meuse Haute Marne - Observ Perenne Environm, DRD Observat Surveillance, Bure, France, Université Paris Diderot - Paris 7 (UPD7), Atmo Rhone-Alpes, Pôle métier Climat & Air du CRIGE-PACA, GeographR, ATMO Hauts de France [Lille], Atmo Occitanie, Atmo Nouvelle-Aquitaine, Atmo Normandie, Lig'air, Atmo Grand Est, Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut de Recherche pour le Développement (IRD)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre for Energy and Environment (CERI EE), Institut Mines-Télécom [Paris] (IMT), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Institut de Chimie du CNRS (INC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Chimie Atmosphérique Expérimentale (CAE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Agence Nationale pour la Gestion des Déchets Radioactifs (ANDRA), Atmo Sud, LIG'AIR- Surveillance de la Qualité de l'Air en Région Centre, Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre for Energy and Environment (CERI EE - IMT Nord Europe), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe), Aix Marseille Université (AMU)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), and Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Atmospheric Science, 010504 meteorology & atmospheric sciences, 010501 environmental sciences, 01 natural sciences, GEOF, lcsh:Chemistry, Atmosphere, chemistry.chemical_compound, Abundance (ecology), Arabitol, medicine, [CHIM]Chemical Sciences, Organic matter, Sugar, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, french sites, chemistry.chemical_classification, polyols, 15. Life on land, Particulates, primary biogenic organic aerosol, lcsh:QC1-999, Aerosol, tracers, lcsh:QD1-999, chemistry, 13. Climate action, [SDU]Sciences of the Universe [physics], Environmental chemistry, [SDE]Environmental Sciences, Environmental science, Mannitol, lcsh:Physics, medicine.drug
Abstract

A growing number of studies are using specific primary sugar species, such as sugar alcohols or primary saccharides, as marker compounds to characterize and apportion primary biogenic organic aerosols (PBOAs) in the atmosphere. To better understand their annual cycles, as well as their spatiotemporal abundance in terms of concentrations and sources, we conducted a large study focusing on three major atmospheric primary sugar compounds (i.e., arabitol, mannitol, and glucose) measured in various environmental conditions for about 5300 filter samples collected at 28 sites in France. Our results show significant atmospheric concentrations of polyols (defined here as the sum of arabitol and mannitol) and glucose at each sampling location, highlighting their ubiquity. Results also confirm that polyols and glucose are mainly associated with the coarse rather than the fine aerosol mode. At nearly all sites, atmospheric concentrations of polyols and glucose display a well-marked seasonal pattern, with maximum concentrations from late spring to early autumn, followed by an abrupt decrease in late autumn, and a minimum concentration during wintertime. Such seasonal patterns support biogenic emissions associated with higher biological metabolic activities (sporulation, growth, etc.) during warmer periods. Results from a previous comprehensive study using positive matrix factorization (PMF) based on an extended aerosol chemical composition dataset of up to 130 species for 16 of the same sample series have also been used in the present work. The polyols-to-PMPBOA ratio is 0.024±0.010 on average for all sites, with no clear distinction between traffic, urban, or rural typology. Overall, even if the exact origin of the PBOA source is still under investigation, it appears to be an important source of particulate matter (PM), especially during summertime. Results also show that PBOAs are significant sources of total organic matter (OM) in PM10 (13±4 % on a yearly average, and up to 40 % in some environments in summer) at most of the investigated sites. The mean PBOA chemical profile is clearly dominated by contribution from OM (78±9 % of the mass of the PBOA PMF on average), and only a minor contribution from the dust class (3±4 %), suggesting that ambient polyols are most likely associated with biological particle emissions (e.g., active spore discharge) rather than soil dust resuspension.

Published
2019
Full Text
View/download PDF

15. Faire face à une nuisance odorante environnementale : une situation toujours complexe. Pourquoi ne pas s'initier en s'amusant avec les ECSPER à Smellville ?

Author

VERRIELE, M., CRUNAIRE, S., Redon, N., Vermeulen, M., GUIGON, G., LEGER, C., Wroblewski, A., Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), Institut Mines-Télécom [Paris] (IMT), Gif-sur-Yvette, and Atmo Normandie

Subjects
[INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2017

16. Etude des déterminants des concentrations en PM10 dans le nord de la France

Author

Oliveira, Diogo Miguel, Perdrix, Esperanza, Sauvage, Stephane, Favez, Olivier, Riffault, Véronique, Alleman, Laurent, Bonnaire, Nicolas, Delaunay, Tiphaine, Rocq, Benoit, Chretien, Eve, Lemeur, Sébastien, Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), Institut Mines-Télécom [Paris] (IMT), Centre for Energy and Environment (CERI EE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Institut National de l'Environnement Industriel et des Risques (INERIS), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), ATMO Hauts de France [Lille], Atmo Grand Est, Atmo Normandie, Centre for Energy and Environment (CERI EE - IMT Nord Europe), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDE.MCG]Environmental Sciences/Global Changes, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2017

17. Deployment of low-cost air quality sensors in Rouen: A dataset of one year of hourly concentrations of gas pollutants.

Author

Thulliez E, Portier B, Bobbia M, and Poggi JM

Abstract

Nitrogen dioxide (NO 2 ) is a major pollutant in urban conditions, as it is mostly produced by traffic. To ensure a good health of cities inhabitants, Europe have set some regulations over maximum NO 2 concentrations. This article presents a dataset of NO 2 concentrations measured by AirSensEUR sensors and monitoring stations in Rouen, (France). Sensors' data consist of measurements of nitrogen oxides (NO x ), carbon monoxide (CO), ozone (O 3 ), and meteorological parameters at ten sites in the city of Rouen, France, over a one-year period. Measurements from three reference stations (two in a traffic area and one in a background area) are also provided, so that comparison between devices and calibration in-situ of the network can be investigated. The dataset consists of CSV files providing the hourly-averaged measurements made by the sensor nodes, and the three reference measurements acquired at the same time. It has been designed to assist organization in investigating the feasibility of a sensor network and its benefits to monitor NO 2 concentration in cities. The aim is thus to address the challenge of having a dense network of precise measuring devices at their disposal and make air quality information more accessible for the global population., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

Published
2024
Full Text
View/download PDF

18. Air quality low-cost sensors and monitoring stations NO 2 raw dataset in Rouen (France).

Author

Thulliez E, Portier B, Bobbia M, and Poggi JM

Abstract

This article presents a dataset comprising measurements made by co-located devices, with the aim of calibrating sensors for an upcoming in-situ use. The dataset includes hourly averaged data from 9 low-cost sensors and 2 traffic monitoring stations (thereafter named QDP and SUD3) in Rouen spanning from October 20, 2021 to March 25, 2022. In addition, the dataset is enriched by covariates measured by the sensors: temperature, relative humidity, atmospheric pressure, plus Ox and CO measures. The experiment was conducted as part of TIGA's call for project, and designed to have a better understanding of sensors' drawbacks, particularly when they are moved or shut down. Knowledge about the effect of air pollution on health has gained significant attention from both the scientific community and citizens, making air quality a growing issue for urban area. As a result, the city of Rouen in Normandy, France, has prioritized air quality monitoring as a key initiative. Concurrently, several means to measure air pollutants have been made more accessible, such as the use of low-cost sensors. Those sensors offer affordability, but are known to be less accurate than monitoring stations. Thus, they need to be cautiously studied so as to be used properly., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Authors. Published by Elsevier Inc.)

Published
2023
Full Text
View/download PDF

19. A review of environmental odor quantification and qualification methods: The question of objectivity in sensory analysis.

Author

Hawko C, Verriele M, Hucher N, Crunaire S, Leger C, Locoge N, and Savary G

Subjects
Chromatography, Gas, Olfactometry, Reproducibility of Results, Environmental Monitoring, Odorants analysis
Abstract

For several years, various issues have up surged linked to odor nuisances with impacts on health and economic concerns. As awareness grew, recent development in instrumental techniques and sensorial analysis have emerged offering efficient and complementary approaches regarding environmental odor monitoring and control. While chemical analysis faces several obstacles, the sensory approach can help overcome them. Therefore, this latter may be considered as subjective, putting the reliability of the studies at risk. This paper is a review of the most commonly sensory methodology used for quantitative and qualitative environmental assessment of odor intensity (OI), odor concentration (OC), odor nature (ON) and hedonic tone (HT). For each of these odor dimensions, the assessment techniques are presented and compared: panel characteristics are discussed; laboratory and field studies are considered and the objectivity of the results is debated. For odor quantification, the use of a reference scale for OI assessment offers less subjectivity than other techniques but at the expense of ease-of-use. For OC assessment, the use of dynamic olfactometry was shown to be the least biased. For odor qualification, the ON description was less subjective when a reference-based lexicon was used but at the expense of simplicity, cost, and lesser panel-training requirements. Only when assessing HT was subjectivity an accepted feature because it reflects the impacted communities' acceptance of odorous emissions. For all discussed dimensions, field studies were shown to be the least biased due to the absence of air sampling, except for OC, where the dispersion modeling approach also showed great potential. In conclusion, this paper offers the reader a guide for environmental odor sensory analysis with the capacity to choose among different methods depending on the study nature, expectations, and capacities., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Published
2021
Full Text
View/download PDF

20. Objective odor analysis of incidentally emitted compounds using the Langage des Nez® method: application to the industrial zone of Le Havre.

Author

Hawko C, Verriele M, Hucher N, Crunaire S, Leger C, Locoge N, and Savary G

Subjects
Chromatography, Gas, France, Industry, Air Pollutants analysis, Odorants analysis
Abstract

Environmental odor studies are usually done using two approaches: nuisance impact assessment and source identification. The latter may be done using chemical analysis or sensory analysis. While sensory analyses offer many advantages, they also face the main obstacle: odor nature description still uses conventional methods based on subjective evocations as odor descriptors. This makes the sensory method ineffective especially when the expected outcome is the source identification in the context of an industrial accident. This work wants to fulfill this gap proposing to build an objective database including the odor nature description of selected potentially emitted compounds using a promising approach: the Langage des Nez® (LdN). Using definite odorous compounds as odor referents, this work provides the odor nature description of 44 compounds, reported as potential incidentally released chemical compounds in the industrial zone of Le Havre. The city of Le Havre, France, was chosen as a model due to a history of odorous emissions of industrial origins. A trained panel described the odor of each compound using up to three referents of the LdN referents collection and attributed a score to each referent. A data analysis method was developed based on the frequency of citation of the referents and the attributed scores allowing the categorization of each compound in three types of consensus categories. The data analysis results showed that around 80% of compounds were described with a good consensus, showing the LdN as a well-adapted lexicon. This study does not point to any correlation between the chemical structures of the compounds of interest and their relative referents. When compared to conventional methods, LdN revealed a more objective and precise approach. The proposed experimental method and the results provided in this work offer the first insight for time-efficient approaches to objectively describe environmental odors, especially potentially emitted odors during incidents. This work may be supplemented by abatement and mixture effect investigations for a complete understanding of odor dispersion., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.)

Published
2021
Full Text
View/download PDF

22. Maternal Ambient Exposure to Atmospheric Pollutants during Pregnancy and Offspring Term Birth Weight in the Nationwide ELFE Cohort.

Author

Ouidir M, Seyve E, Rivière E, Bernard J, Cheminat M, Cortinovis J, Ducroz F, Dugay F, Hulin A, Kloog I, Laborie A, Launay L, Malherbe L, Robic PY, Schwartz J, Siroux V, Virga J, Zaros C, Charles MA, Slama R, and Lepeule J

Subjects
Birth Weight, Child, Female, Humans, Longitudinal Studies, Maternal Exposure adverse effects, Nitrogen Dioxide analysis, Nitrogen Dioxide toxicity, Particulate Matter analysis, Particulate Matter toxicity, Pregnancy, Air Pollutants analysis, Air Pollutants toxicity, Air Pollution adverse effects, Air Pollution analysis, Environmental Pollutants
Abstract

Background: Studies have reported associations between maternal exposure to atmospheric pollution and lower birth weight. However, the evidence is not consistent and uncertainties remain. We used advanced statistical approaches to robustly estimate the association of atmospheric pollutant exposure during specific pregnancy time windows with term birth weight (TBW) in a nationwide study., Methods: Among 13,334 women from the French Longitudinal Study of Children (ELFE) cohort, exposures to PM 2.5 , PM 10 (particles < 2.5 µm and <10 µm) and NO 2 (nitrogen dioxide) were estimated using a fine spatio-temporal exposure model. We used inverse probability scores and doubly robust methods in generalized additive models accounting for spatial autocorrelation to study the association of such exposures with TBW., Results: First trimester exposures were associated with an increased TBW. Second trimester exposures were associated with a decreased TBW by 17.1 g (95% CI, -26.8, -7.3) and by 18.0 g (-26.6, -9.4) for each 5 µg/m 3 increase in PM 2.5 and PM 10 , respectively, and by 15.9 g (-27.6, -4.2) for each 10 µg/m 3 increase in NO 2 . Third trimester exposures (truncated at 37 gestational weeks) were associated with a decreased TBW by 48.1 g (-58.1, -38.0) for PM 2.5 , 38.1 g (-46.7, -29.6) for PM 10 and 14.7 g (-25.3, -4.0) for NO 2 . Effects of pollutants on TBW were larger in rural areas., Conclusions: Our results support an adverse effect of air pollutant exposure on TBW. We highlighted a larger effect of air pollutants on TBW among women living in rural areas compared to women living in urban areas.

Published
2021
Full Text
View/download PDF

23. Substantial brown carbon emissions from wintertime residential wood burning over France.

Author

Zhang Y, Albinet A, Petit JE, Jacob V, Chevrier F, Gille G, Pontet S, Chrétien E, Dominik-Sègue M, Levigoureux G, Močnik G, Gros V, Jaffrezo JL, and Favez O

Abstract

Brown carbon (BrC) is known to absorb light at subvisible wavelengths but its optical properties and sources are still poorly documented, leading to large uncertainties in climate studies. Here, we show its major wintertime contribution to total aerosol absorption at 370 nm (18-42%) at 9 different French sites. Moreover, an excellent correlation with levoglucosan (r 2  = 0.9 and slope = 22.2 at 370 nm), suggesting important contribution of wood burning emissions to ambient BrC aerosols in France. At all sites, BrC peaks were mainly observed during late evening, linking to local intense residential wood burning during this time period. Furthermore, the geographic origin analysis also highlighted the high potential contribution of local and/or small-regional emissions to BrC. Focusing on the Paris region, twice higher BrC mass absorption efficiency value was obtained for less oxidized biomass burning organic aerosols (BBOA) compared to more oxidized BBOA (e.g., about 4.9 ± 0.2 vs. 2.0 ± 0.1 m 2  g - 1 , respectively, at 370 nm). Finally, the BBOA direct radiative effect was found to be 40% higher when these two BBOA fractions are treated as light-absorbing species, compared to the non-absorbing BBOA scenario., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Griša Močnik was employed by the manufacturer of the AE33 during the measurements, but not during the data analysis or writing of the manuscript., (Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.)

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results