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  • 1
    ISSN: 1365-3121
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geosciences
    Notes: Sediment archives from a mountain lake are used as indicators of seismotectonic activity in the Grenoble area (French western Alps, 45°N). Sedimentological analysis (texture and grain-size characteristics) exhibits several layers resulting from instantaneous deposits in Lake Laffrey: six debris flow events up to 8 cm thick can be attributed to slope failure along the western flank of the basin. Dating with 210Pb and 137Cs gamma counting techniques and the reconnaissance of historical events, provide a constrained age-depth model. Over the last 250 years, five of such debris flow deposits could be related to historical earthquakes of MSK intensities greater than VI over an area of 〈60 km. One debris flow deposit triggered at the beginning of the last century can be related to an historical landslide possibly triggered by the artificial regulation of the lake level.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2023-02-28
    Description: The Sicily region (central Mediterranean) is at high risk of drying and desertification caused by current warming and land management. The aim of this study is to place current climatic changes within the past trajectories and natural climatic variability of the Holocene. For this we re‐examine a sediment core retrieved at Lake Pergusa covering the last ca. 6700 years. A multiproxy investigation, and in particular the oxygen isotope composition of lacustrine carbonate (δ18Oc), allowed us to reconstruct decadal‐ to centennial‐scale hydrological changes. The wettest period occurred between ca. 6700 and 6000 cal a BP. The δ18Oc record indicates a new period of wetter conditions between ca. 3700 and 2400 cal a BP. In particular, a δ18Oc minimum between 2850 and 2450 cal a BP overlaps with the period of the ‘Great Solar Minimum’ and corresponds to a dramatic reduction of arboreal pollen (AP%) and to an increase in synanthropic pollen, marking the onset of Greek colonization in the region. The longest driest interval corresponds to the Medieval Climate Anomaly, whereas the highest δ18Oc values are recorded in the last 150 years. The trend of the last 3000 years suggests that, considering future climate projections, the area will experience unprecedented drying exacerbated by human impact.
    Description: Published
    Description: 1280-1293
    Description: 5A. Ricerche polari e paleoclima
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 3
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Arnaud, Fabien; Revel, M; Chapron, Emmanuel; Desmet, Marc; Tribovillard, N (2005): 7200 years of Rhône river flooding activity in Lake Le Bourget, France: a high-resolution sediment record of NW Alps hydrology. The Holocene, 15(3), 420-428, https://doi.org/10.1191/0959683605hl801rp
    Publication Date: 2023-02-07
    Description: Magnetic susceptibility (MS) was measured with high resolution (5 mm) on a 9 m long, 14C dated core from Lake Le Bourget (Savoie, France), spanning the last 7200 years. The strong correlation (R=0.85) of the MS with the silicate-borne suite of elements (Si, Al, Fe, Mg, K) and anti-correlation with the carbonate content (R =-0.87) allows it to be used as a proxy for the fluctuations of the abundance of riverborne clastic fraction versus authigenic carbonates in sediment. As the Rhône is the only river bringing a significant amount of silicate minerals to the coring site, the MS downstream is interpreted as a proxy of the Rhône suspended load discharge in Lake Le Bourget. This is confirmed over the last 3000 years by the good match with the evolution of hydrological activity of the Rhône as it is known through geomorphological studies of well-dated archaeological sites. Over the last 7200 years, the record is consistent with the regional record of lake water-level fluctuations. While the intensity of the MS signal might be widely affected by the human impact on soil stability, the timing of the period of enhanced hydrological activity appears to be mostly climate-related, and should thus constitute a first step toward a high-resolution (〈 8 yr) continuous history of hydrological conditions in the NW Alps.
    Keywords: Age, 14C AMS; Age, calibrated; Age, dated; Age, dated, range, maximum; Age, dated, range, minimum; Age, dated standard deviation; DEPTH, sediment/rock; GCUWI; Gravity corer, UWITEC; Lac du Bourget, France; LDB01-I; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
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  • 4
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Dendievel, André-Marie; Mourier, Brice; Coynel, Alexandra; Evrard, Olivier; Labadie, Pierre; Ayrault, Sophie; Debret, Maxime; Koltalo, Florence; Copard, Yoann; Faivre, Quentin; Gardes, Thomas; Vauclin, Sophia; Budzinski, Hélène; Grosbois, Cécile; Winiarski, Thierry; Desmet, Marc (2020): Spatio-temporal assessment of the polychlorinated biphenyl (PCB) sediment contamination in four major French river corridors (1945-2018). Earth System Science Data, 12(2), 1153-1170, https://doi.org/10.5194/essd-12-1153-2020
    Publication Date: 2023-02-22
    Description: We collected PCB analysis results from multiple sources (French Water Basin Agencies, Port Authorities, Research Laboratories) to produce a spatio-temporal database of PCB contamination in sediments along the main French Rivers (source-estuary) from 1945 to 2018. This database contains data from bed and flood deposits, cores, suspended particulate matter and dredged sediments. It presents sediment concentrations of PCB indicators (PCB28, 52, 101, 118, 138, 153, 180; µg/kg) and their sum or reconstructed sum according to the porportion of highly chlorinated congeners (PCB 138, 153 and 180).
    Keywords: Area/locality; Distance; Event label; France; French Rivers; Garonne_PCB-S01; Garonne_PCB-S02; Garonne_PCB-S03; Garonne_PCB-S04; Garonne_PCB-S05; Garonne_PCB-S06; Garonne_PCB-S07; Garonne_PCB-S08; Garonne_PCB-S09; Garonne_PCB-S10; Garonne_PCB-S11; Garonne_PCB-S12; Garonne_PCB-S13; Garonne_PCB-S14; Garonne_PCB-S15; Garonne_PCB-S16; Garonne_PCB-S17; Garonne_PCB-S18; Garonne_PCB-S19; Garonne_PCB-S20; Garonne_PCB-S21; Garonne_PCB-S22; Garonne_PCB-S23; Garonne_PCB-S24; Hydrosystem; Latitude of event; Loire_PCB-S01; Loire_PCB-S02; Loire_PCB-S03; Loire_PCB-S04; Loire_PCB-S05; Loire_PCB-S06; Loire_PCB-S07; Loire_PCB-S08; Loire_PCB-S09; Loire_PCB-S10; Loire_PCB-S11; Loire_PCB-S12; Loire_PCB-S13; Loire_PCB-S14; Loire_PCB-S15; Loire_PCB-S16; Loire_PCB-S17; Loire_PCB-S18; Loire_PCB-S19; Loire_PCB-S20; Loire_PCB-S21; Loire_PCB-S22; Loire_PCB-S23; Loire_PCB-S24; Loire_PCB-S25; Loire_PCB-S26; Loire_PCB-S27; Loire_PCB-S28; Loire_PCB-S29; Loire_PCB-S30; Loire_PCB-S31; Loire_PCB-S32; Loire_PCB-S33; Loire_PCB-S34; Loire_PCB-S35; Loire_PCB-S36; Loire_PCB-S37; Longitude of event; Matrix description; MULT; Multiple investigations; Period; Persistent Organic Pollutant; Polychlorinated biphenyl; Polychlorinated biphenyl indicators, congener; PolyChlorinated Biphenyls (PCB); Rhone_PCB-S01; Rhone_PCB-S02; Rhone_PCB-S03; Rhone_PCB-S04; Rhone_PCB-S05; Rhone_PCB-S06; Rhone_PCB-S07; Rhone_PCB-S08; Rhone_PCB-S09; Rhone_PCB-S10; Rhone_PCB-S100; Rhone_PCB-S101; Rhone_PCB-S102; Rhone_PCB-S103; Rhone_PCB-S104; Rhone_PCB-S105; Rhone_PCB-S107; Rhone_PCB-S108; Rhone_PCB-S109; Rhone_PCB-S11; Rhone_PCB-S110; Rhone_PCB-S112; Rhone_PCB-S113; Rhone_PCB-S114; Rhone_PCB-S115; Rhone_PCB-S116; Rhone_PCB-S117; Rhone_PCB-S118; Rhone_PCB-S119; Rhone_PCB-S12; Rhone_PCB-S13; Rhone_PCB-S14; Rhone_PCB-S15; Rhone_PCB-S16; Rhone_PCB-S18; Rhone_PCB-S19; Rhone_PCB-S20; Rhone_PCB-S21; Rhone_PCB-S22; Rhone_PCB-S23; Rhone_PCB-S24; Rhone_PCB-S25; Rhone_PCB-S26; Rhone_PCB-S27; Rhone_PCB-S28; Rhone_PCB-S29; Rhone_PCB-S30; Rhone_PCB-S31; Rhone_PCB-S32; Rhone_PCB-S33; Rhone_PCB-S34; Rhone_PCB-S35; Rhone_PCB-S36; Rhone_PCB-S37; Rhone_PCB-S38; Rhone_PCB-S39; Rhone_PCB-S40; Rhone_PCB-S41; Rhone_PCB-S42; Rhone_PCB-S43; Rhone_PCB-S44; Rhone_PCB-S45; Rhone_PCB-S46; Rhone_PCB-S47; Rhone_PCB-S48; Rhone_PCB-S49; Rhone_PCB-S50; Rhone_PCB-S51; Rhone_PCB-S52; Rhone_PCB-S53; Rhone_PCB-S54; Rhone_PCB-S55; Rhone_PCB-S56; Rhone_PCB-S57; Rhone_PCB-S58; Rhone_PCB-S59; Rhone_PCB-S60; Rhone_PCB-S61; Rhone_PCB-S62; Rhone_PCB-S63; Rhone_PCB-S64; Rhone_PCB-S65; Rhone_PCB-S66; Rhone_PCB-S67; Rhone_PCB-S68; Rhone_PCB-S69; Rhone_PCB-S70; Rhone_PCB-S71; Rhone_PCB-S72; Rhone_PCB-S73; Rhone_PCB-S74; Rhone_PCB-S75; Rhone_PCB-S76; Rhone_PCB-S77; Rhone_PCB-S78; Rhone_PCB-S79; Rhone_PCB-S80; Rhone_PCB-S81; Rhone_PCB-S82; Rhone_PCB-S83; Rhone_PCB-S84; Rhone_PCB-S85; Rhone_PCB-S86; Rhone_PCB-S87; Rhone_PCB-S88; Rhone_PCB-S89; Rhone_PCB-S90; Rhone_PCB-S92; Rhone_PCB-S93; Rhone_PCB-S94; Rhone_PCB-S95; Rhone_PCB-S96; Rhone_PCB-S97; Rhone_PCB-S98; Rhone_PCB-S99; River; sediment; Seine_PCB-S01; Seine_PCB-S02; Seine_PCB-S03; Seine_PCB-S04; Seine_PCB-S05; Seine_PCB-S06; Seine_PCB-S07; Seine_PCB-S08; Seine_PCB-S09; Seine_PCB-S10; Seine_PCB-S11; Seine_PCB-S12; Seine_PCB-S13; Seine_PCB-S15; Seine_PCB-S16; Seine_PCB-S17; Seine_PCB-S18; Seine_PCB-S19; Seine_PCB-S20; Seine_PCB-S21; Seine_PCB-S22; Seine_PCB-S23; Seine_PCB-S24; Seine_PCB-S25; Seine_PCB-S26; Seine_PCB-S28; Seine_PCB-S29; Seine_PCB-S30; Seine_PCB-S31; Seine_PCB-S32; Seine_PCB-S33; Seine_PCB-S34; Seine_PCB-S35; Seine_PCB-S36; Seine_PCB-S37; Seine_PCB-S38; Seine_PCB-S39; Seine_PCB-S40; Seine_PCB-S41; Seine_PCB-S42; Seine_PCB-S43; Seine_PCB-S44; Seine_PCB-S45; Seine_PCB-S46; Seine_PCB-S47; Seine_PCB-S48; Seine_PCB-S49; Seine_PCB-S50; Seine_PCB-S51; Seine_PCB-S52
    Type: Dataset
    Format: text/tab-separated-values, 63144 data points
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  • 5
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Mourier, Brice; Labadie, Pierre; Desmet, Marc; Grosbois, Cécile; Raux, Julie; Debret, Maxime; Copard, Yoann; Pardon, Patrick; Budzinski, Hélène; Babut, Marc (2019): Combined spatial and retrospective analysis of fluoroalkyl chemicals in fluvial sediments reveal changes in levels and patterns over the last 40 years. Environmental Pollution, 253, 1117-1125, https://doi.org/10.1016/j.envpol.2019.07.079
    Publication Date: 2023-10-18
    Description: Bed sediments and a dated sediment core were collected upstream and downstream from the city of Lyon (France) to assess the spatial and temporal trends of contamination by per- and polyfluoroalkyl substances (PFASs) in this section of the Rhône River. Upstream from Lyon, concentrations of total PFASs (tPFASs) in sediments are low (between 0.19 and 2.6 ng g-1 dry weight - dw), being characterized by a high proportion of perfluorooctane sulfonate (PFOS). Downstream from Lyon, and also from a fluoropolymer manufacturing plant, tPFASs concentrations reach 48.7 ng g-1 dw. A gradual decrease of concentrations is reported at the coring site further downstream (38 km). Based on a dated sediment core, the temporal evolution of PFASs is reconstructed from 1984 to 2013. Prior to 1987, tPFASs concentrations were low (≤ 2 ng g-1 dw), increasing to a maximum of 51 ng g-1 dw in the 1990s and then decreasing from 2002 to the present day (~10 ng g-1 dw). In terms of the PFAS pattern, the proportion of perfluoroalkyl sulfonic acids (PFSAs) has remained stable since the 1980s (~10%), whereas large variations are reported for carboxylic acids (PFCAs). Long chain- (C〉8) PFCAs characterized by an even number of perfluorinated carbons represent about 74% of the total PFAS load until 2005. However, from 2005 to 2013, the relative contribution of long chain- (C〉8) PFCAs with an odd number of perfluorinated carbons reaches 80%. Such changes in the PFAS pattern likely highlight a major shift in the industrial production process. This spatial and retrospective study provides valuable insights into the long-term contamination patterns of PFAS chemicals in river basins impacted by both urban and industrial activities.
    Keywords: bed sediment; Per- and polyfluoroalkyl substances; Rhône River; Sediment core; spatial trend; temporal trend
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 6
    Publication Date: 2023-10-18
    Keywords: 6:2 fluorotelomer sulfonic acid; Age; bed sediment; Carbon, organic, total; Core; CORE; DEPTH, sediment/rock; Henicosalfluorodecane sulfonic acid; N-ethyl perfluorooctane sulfonamide; N-methyl perfluorooctane sulfonamide; Per- and polyfluoroalkyl substances; Perfluorinated alkyl substances; Perfluorobutane sulfonic acid; Perfluorobutanoic acid; Perfluorodecanoic acid; Perfluorododecanoic acid; Perfluoroheptane sulfonic acid; Perfluoroheptanoic acid; Perfluorohexane sulfonic acid; Perfluorohexanoic acid; Perfluorononanoic acid; Perfluoroocatane sulfonamide; Perfluorooctane sulfonic acid; Perfluorooctanoic acid; Perfluoropentanoic acid; Perfluorotetradecanoic acid; Perfluorotridecanoic acid; Perfluoroundecanoic acid; Rhone_R9_Core; Rhone, France, Europe; Rhône River; Sediment core; spatial trend; temporal trend
    Type: Dataset
    Format: text/tab-separated-values, 920 data points
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  • 7
    Publication Date: 2023-10-18
    Keywords: 6:2 fluorotelomer sulfonic acid; Ain_A1; Ain, France, Europe; bed sediment; Bourbre_B1; Bourbre, France, Europe; Event label; Giers_G1; Giers, France, Europe; Henicosalfluorodecane sulfonic acid; LATITUDE; LONGITUDE; MULT; Multiple investigations; N-ethyl perfluorooctane sulfonamide; N-ethyl perfluorooctane sulfonamido acetic acid; N-methyl perfluorooctane sulfonamide; N-methyl perfluorooctane sulphonamido acetic acid; Per- and polyfluoroalkyl substances; Perfluorobutane sulfonic acid; Perfluorobutanoic acid; Perfluorodecanoic acid; Perfluorododecanoic acid; Perfluoroheptane sulfonic acid; Perfluoroheptanoic acid; Perfluorohexane sulfonic acid; Perfluorohexanoic acid; Perfluorononanoic acid; Perfluoroocatane sulfonamide; Perfluorooctane sulfonic acid; Perfluorooctanoic acid; Perfluoropentanoic acid; Perfluorotetradecanoic acid; Perfluorotridecanoic acid; Perfluoroundecanoic acid; Rhone_R1; Rhone_R2; Rhone_R3; Rhone_R4; Rhone_R5.1; Rhone_R5.2; Rhone_R6; Rhone_R7; Rhone_R8; Rhone_R9; Rhone, France, Europe; Rhône River; River; Saone_S1; Saone_S2; Saone_S3; Saone, France, Europe; Sediment core; Site; spatial trend; temporal trend
    Type: Dataset
    Format: text/tab-separated-values, 600 data points
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  • 8
    Publication Date: 2015-10-19
    Print ISSN: 0013-936X
    Electronic ISSN: 1520-5851
    Topics: Chemistry and Pharmacology , Energy, Environment Protection, Nuclear Power Engineering
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  • 9
  • 10
    Publication Date: 2020-05-20
    Description: Environmental pollution by polychlorinated biphenyls (PCBs) is a key cause for concern about river quality because of their low degradation rates leading to their accumulation in sediments and living organisms. An original interdisciplinary work was conducted along the four main French rivers (Seine, Rhône, Loire and Garonne rivers), which flow into major European seas. We completed a dataset based on sediment analyses provided by monitoring agencies, port authorities and research teams on different solid matrices (sediment cores, bed and flood deposits, suspended particulate matter and dredged sediments). This dataset focused on the seven indicator PCBs and their sum (ΣPCBi) from 1945 to 2018 (nΣPCBi =1416). Special effort was put into the quality control to provide robust spatio-temporal information. Taking into account hydrological and human drivers, we outlined two main pollution trends: (1) from 1945 to 1975, a quick increase in ΣPCBi (up to 4 mg kg−1 dry weight, dw) and a sharp decrease in the 1980s on the Seine and Loire rivers and (2) increasing but moderate ΣPCBi levels (50 to 150 µg kg−1 dw) followed by a decline after the 1990s on the Rhône and Garonne rivers. In addition to these patterns, PCB emissions from urban and industrial areas or accidental events were significant in each river. Finally, when calculating specific flux, the Rhône exhibited the uppermost ΣPCBi load (up to 12 µgm-2yr-1 in 1977–1987), at least 25 % higher than those of the Seine and Loire rivers, while the Garonne showed a very low flux. In western Europe, we confirmed that the Rhône, Seine and Loire rivers contribute significantly to the PCB contamination of the seas, while French specific ΣPCBi fluxes are 2 orders of magnitude lower than those found in American or Asian rivers. The dataset is available at https://doi.org/10.1594/PANGAEA.904277 (Dendievel et al., 2019).
    Print ISSN: 1866-3508
    Electronic ISSN: 1866-3516
    Topics: Geosciences
    Published by Copernicus
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