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  • 1
    Call number: M 11.0262
    Description / Table of Contents: What is the important geologic information recorded in Thrust Belts and Foreland Basins (TBFB) on the evolution of orogens? How do they transcript the coupled influence of deep and surficial geological processes? Is it still worth looking for hydrocarbons in foothills areas? These and other questions are addressed in the volume edited by Lacombe, Lavé, Roure and Vergés, which constitutes the Proceedings of the first meeting of the new ILP task force on "Sedimentary Basins", held in December 2005 at the Institut Français du Pétrole, on behalf of the Société Géologique de France and the Sociedad Geologica de España. This volumes spans a timely bridge between recent advances in the understanding of surface processes, field investigations, high resolution imagery, analogue-numerical modelling, and hydrocarbon exploration in TBFB. With 25 thematic papers including well-documented regional case studies, it provides a milestone publication as a new in-depth examination of TBFB. Table of contens: Surficial and deep processes in thrust belts.- Exploration of thrust belts (1): Seismic imaging and traps.- Exploration of thrust belts (2): Fluid flows and hydrocarbon systems.- Structural modeling/restoration.- Zagros/Makran thrust belts.- Carpathian thrust belt.- Tectonics, sedimentation and denudation in thrust belts
    Type of Medium: Monograph available for loan
    Pages: XXIII, 487 S. : Ill., graph. Darst.
    ISBN: 9783642088919
    Series Statement: Frontiers in earth sciences
    Classification:
    Sedimentology
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 2
    Publication Date: 2023-02-24
    Description: Five analytical blanks were prepared synchronously with the samples of Tables S1-S2 (https://doi.org/10.1594/PANGAEA.912098 and https://doi.org/10.1594/PANGAEA.912100). The average 10Be/9Be blank of 5.26x10-15 was used to correct the concentrations of Table S1 and Table S2.
    Keywords: 10Be; Bangladesh; Bengal Fan; Beryllium-10/Beryllium-9, uncertainty; Beryllium-10/Beryllium-9 ratio; Beryllium-9; Beryllium-9, uncertainty; Cenozoic; climate; cosmogenic nuclides; Counts; erosion; glaciations; Himalaya; India; Indian Ocean; Indo-Burman range; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Lower Meghna; Mass; Namche Barwa; Nd; Pleistocene; provenance study; Quaternary; Sample ID; sediment; Shillong; Sr; turbidites
    Type: Dataset
    Format: text/tab-separated-values, 45 data points
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  • 3
    Publication Date: 2023-02-24
    Description: Six duplicates of various granulometric fractions (col. 6-7) for the Bengal Fan samples and one for the Lower Meghna were measured for 10Be. The results are presented in a similar way than for Table S1 (https://doi.org/10.1594/PANGAEA.912098). The col. 22 presents the relative difference with the results of the same samples presented Table S1.
    Keywords: 10Be; 353-U1444A; 354-U1450A; Bangladesh; Bengal Fan; Beryllium-10; Beryllium-10, uncertainty; Beryllium-10/Beryllium-9, uncertainty; Beryllium-10/Beryllium-9 ratio; Beryllium-9; Beryllium-9, uncertainty; CDRILL; Cenozoic; climate; Core; Core drilling; cosmogenic nuclides; Counts; Difference; DRILL; Drilling/drill rig; erosion; Event label; Exp353; EXP354; glaciations; Himalaya; Hole; India; Indian Ocean; Indo-Burman range; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; Lower Meghna; Mass; Mass, uncertainty; Meghna-Padma_Mawa; Namche Barwa; Nd; Pleistocene; provenance study; Quaternary; Sample code/label; sediment; Shillong; Site; Sr; turbidites
    Type: Dataset
    Format: text/tab-separated-values, 121 data points
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  • 4
    Publication Date: 2023-02-24
    Description: Ganga, Brahmaputra and Lower Meghna sample data are presented. Al/Si and Fe/Si ratios are from Lupker et al. (2013) (URI:https://doi.org/10.1016/j.epsl.2013.01.038) and Sr concentrations, measured similarly than for the samples presented in Table S4, from this study (https://doi.org/10.1594/PANGAEA.912103 ). Type: SL: Suspended load; BL: Bed load; Bank: Bank sediments.
    Keywords: 10Be; Aluminium/Silicon ratio; Area/locality; Bangladesh; Bengal Fan; Brahmaputra_Jamuna_bridge; Brahmaputra_Sirajganj; Cenozoic; climate; Comment; cosmogenic nuclides; DATE/TIME; DEPTH, sediment/rock; erosion; Event label; Ganga_Harding_bridge; glaciations; Himalaya; India; Indian Ocean; Indo-Burman range; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Iron/Silicon ratio; Load; Lower Meghna; Meghna_Bhola; Meghna_Chor_Fasson; Meghna_Chor_Mankia; Meghna_Daulatkhan; Meghna-Padma_Mawa; Namche Barwa; Nd; Pleistocene; provenance study; Quaternary; River; Sample ID; sediment; Shillong; Sr; Strontium; turbidites; Type
    Type: Dataset
    Format: text/tab-separated-values, 1646 data points
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  • 5
    Publication Date: 2023-02-24
    Description: Bulk silicate Sr-Nd data, extracted from bank and bedload, are from Galy and France-Lanord (2001) (URI:https://doi.org/10.1130/0091-7613(2001)029〈0023:HERITH〉2.0.CO;2), Singh and France-Lanord (2002) (URI:https://doi.org/10.1016/S0012-821X(02)00822-1), Singh et al. (2008) (URI:https://doi.org/10.1029/2007JF000909). 10Be data are averaged from Lupker et al. (2012, 2017) (URI:https://doi.org/10.1016/j.epsl.2012.04.020) (URI:https://doi.org/10.5194/esurf-5-429-2017). The production rates were computed using Basinga (Charreau et al., 2019) (URI:https://doi.org/10.1002/esp.4649) with the Lal-Stone / ERA40 atmosphere configuration using a sea-level high latitude production rate of 4.18 atom/g/y (Martin et al., 2017) (URI:https://doi.org/10.1016/j.quageo.2016.11.006), factors for different particle production rates of 0.9886 for spallation, 0.0027 for slow muons, 0.0087 for fast muons and attenuation lengths of 260 g/cm2 for slow muons and 510 g/cm2 for fast muons (Braucher et al., 2011) (URI:https://doi.org/10.1016/j.epsl.2011.06.036), and the basins defined in the Methods of the article associated to the dataset.
    Keywords: 10Be; Area; Bangladesh; Bengal Fan; Beryllium-10; Beryllium-10, production rate per year; Beryllium-10, uncertainty; Cenozoic; climate; cosmogenic nuclides; erosion; Erosion rate; Erosion rate, uncertainty; Event label; Ganga_Harding_bridge; glaciations; Himalaya; India; Indian Ocean; Indo-Burman range; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Location; Lower Meghna; Namche Barwa; Nd; Neodymium; Neodymium, uncertainty; Pleistocene; provenance study; Quaternary; River; sediment; Shillong; Sr; Strontium; Strontium, uncertainty; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, uncertainty; turbidites; ε-Neodymium; ε-Neodymium, uncertainty
    Type: Dataset
    Format: text/tab-separated-values, 76 data points
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  • 6
    Publication Date: 2023-04-01
    Description: Samples from the Bengal Fan and Lower Meghna River were measured. Each line gives the 10Be measurement result for one aliquot of the sample in a specific granulometric sandy fraction. Sample information (col. 1 to 11) includes the drilling core depth below sea-floor (CSF-A) and the ages determined with previous models. 10Be data (col. 12-32) presents the fractions selected for measurement (col. 12-13), the mass of quartz decontaminated from the atmospheric contribution (col. 14-15), the measurements of 9Be (carrier + potential native 9Be) by SARM (col. 17-20), the measurements of 10Be/9Be at ASTER (col. 21-25), the 10Be paleoconcentrations computed with the ages (col. 26-30) and the apparent Himalayan erosion rates (31-32). The nominal concentration of the carrier is [9Be] = 2020±83 ppm. The measured 9Be concentrations are on average 15% lower than the predicted concentrations, because of the potential loss of Be after addition of the 9Be carrier, during dissolution and evaporation. The 10Be/9Be results were corrected from the average blank in Table S3 (https://doi.org/10.1594/PANGAEA.912101). The 1-σ uncertainty for 10Be results include a correction obtained with the average difference between the results presented here and the duplicate measurements presented in Table S2 (https://doi.org/10.1594/PANGAEA.912100). Apparent Himalayan erosion rates were computed with the production rates of the Himalayan part of the Lower Meghna basin and by removing the Indian cratonic contribution. Sr-Nd isotopic measurement and fG computing results are presented col. 33 to 40. 143Nd/144Nd are reported as εNd(0), using CHUR(0) = 0.512638 (Goldstein et al., 1984 URI:10.1016/0012-821x(84)90007-4). For the Lower Meghna sand, Sr-Nd data are unpublished data from France-Lanord and Galy and measured similarly than our data, except for the sample BR 446, which is from Lupker and France-Lanord and was prepared with HCl leaching. The computing results for the test of the climate forcing hypothesis are in col. 41 to 44.
    Keywords: 10Be; 353-U1444A; 354-U1450A; 354-U1451A; 354-U1454B; Age, uncertainty; Age model; Application of the EO-LDAS Prototype and Data Base to Prepare Sentinel-2 Assimilation; Bangladesh; Bengal Fan; Beryllium-10; Beryllium-10, uncertainty; Beryllium-10/Beryllium-9; Beryllium-10/Beryllium-9, uncertainty; Beryllium-9; Beryllium-9, uncertainty; CDRILL; Cenozoic; climate; Core; Core drilling; cosmogenic nuclides; Counts; DATE/TIME; DEPTH, sediment/rock; DRILL; Drilling/drill rig; EO-LDAS-App; erosion; Erosion rate; Erosion rate, uncertainty; Event label; Exp353; EXP354; Factor; glaciations; Himalaya; Hole; India; Indian Ocean; Indo-Burman range; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; Lower Meghna; Mass; Mass, uncertainty; Meghna_Bhola; Meghna_Chor_Fasson; Meghna_Daulatkhan; Meghna-Padma_Mawa; Namche Barwa; Nd; Neodymium-144/Neodymium-143; Neodymium-144/Neodymium-143, uncertainty; Pleistocene; provenance study; Quaternary; Reference/source; Sample code/label; Sample type; sediment; Sediment contribution; Sediment contribution, uncertainty; Shillong; Site; Sr; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, uncertainty; turbidites; ε-Neodymium; ε-Neodymium, uncertainty
    Type: Dataset
    Format: text/tab-separated-values, 1212 data points
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  • 7
    Publication Date: 2023-07-10
    Description: For the Bengal Fan samples, the measurements of major and trace elements were performed at SARM (Nancy, France), following (Carignan et al., 2001) (URI:https://doi.org/10.1111/j.1751-908X.2001.tb00595.x) procedure and using ICP-OES iCap6500 for major element and Sc concentrations, and ICP-MS iCapQ for trace elements. For the Lower Meghna sand, data for major elements are from Lupker et al. (2013) (URI:https://doi.org/10.1016/j.epsl.2013.01.038) and data for trace elements are unpublished data from France-Lanord and Galy and measured similarly than our data. Empty cells indicate measurements below detection, except for commented lines.
    Keywords: -; 10Be; 353-U1444A; 354-U1450A; 354-U1451A; 354-U1454B; Aluminium oxide; Antimony; Arsenic; Bangladesh; Barium; Bengal Fan; Beryllium; Bismuth; Cadmium; Caesium; Calcium oxide; CDRILL; Cenozoic; Cerium; Chromium; climate; Cobalt; Comment; Copper; Core; Core drilling; cosmogenic nuclides; DRILL; Drilling/drill rig; Dysprosium; Elements, total; Erbium; erosion; Europium; Event label; Exp353; EXP354; Gadolinium; Gallium; Germanium; glaciations; Hafnium; Himalaya; Hole; Holmium; India; Indian Ocean; Indium; Indo-Burman range; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Iron oxide, Fe2O3; Joides Resolution; Lanthanum; Lead; Loss on ignition; Lower Meghna; Lutetium; Magnesium oxide; Manganese oxide; Meghna_Bhola; Meghna_Chor_Fasson; Meghna_Daulatkhan; Meghna-Padma_Mawa; Molybdenum; Namche Barwa; Nd; Neodymium; Nickel; Niobium; Phosphorus pentoxide; Pleistocene; Potassium oxide; Praseodymium; provenance study; Quaternary; Rubidium; Samarium; Sample code/label; Scandium; sediment; Shillong; Silicon dioxide; Site; Sodium oxide; Sr; Strontium; Tantalum; Terbium; Thorium; Thulium; Tin; Titanium dioxide; Tungsten; turbidites; Uranium; Vanadium; Ytterbium; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1967 data points
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  • 8
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2011. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Geochimica et Cosmochimica Acta 84 (2012): 410-432, doi:10.1016/j.gca.2012.02.001.
    Description: We present an extensive river sediment dataset covering the Ganga basin from the Himalayan front downstream to the Ganga mainstream in Bangladesh. These sediments were mainly collected over several monsoon seasons and include depth profiles of suspended particles in the river water column. Mineral sorting is the first order control on the chemical composition of river sediments. Taking into account this variability we show that sediments become significantly depleted in mobile elements during their transit through the floodplain. By comparing sediments sampled at the Himalayan front with sediments from the Ganga mainstream in Bangladesh it is possible to budget weathering in the floodplain. Assuming a steady state weathering regime in the floodplain, the weathering of Himalayan sediments in the Gangetic floodplain releases ca. (189 ± 92)109 and (69 ± 22)109 moles/yr of carbonate bound Ca and Mg to the dissolved load, respectively. Silicate weathering releases (53 ± 18)109 and (42 ± 13)109 moles/yr of Na and K while the release of silicate Mg and Ca is substantially lower, between ca. 0 and 20109 moles/yr. Additionally, we show that sediment hydration, [H2O+], is a sensitive tracer of silicate weathering that can be used in continental detrital environments, such as the Ganga basin. Both [H2O+] content and the D/H isotopic composition of sediments increases during floodplain transfer in response to mineral hydrolysis and neoformations associated to weathering reactions. By comparing the chemical composition of river sediments across the floodplain with the composition of the eroded Himalayan source rocks, we suggest that the floodplain is the dominant location of silicate weathering for Na, K and [H2O+]. Overall this work emphasizes the role of the Gangetic floodplain in weathering Himalayan sediments. It also demonstrates how detrital sediments can be used as weathering tracers if mineralogical and chemical sorting effects are properly taken into account.
    Description: This work was supported by INSU program “Relief de la Terre” and ANR Calimero. Valier Galy was supported by the U.S. National Science Fundation (Grant OCE-0851015).
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
    Format: application/pdf
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  • 9
    Publication Date: 2022-05-25
    Description: Author Posting. © American Geophysical Union, 2011. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research 116 (2011): F04012, doi:10.1029/2010JF001947.
    Description: The Ganga River is one of the main conveyors of sediments produced by Himalayan erosion. Determining the flux of elements transported through the system is essential to understand the dynamics of the basin. This is hampered by the chemical heterogeneity of sediments observed both in the water column and under variable hydrodynamic conditions. Using Acoustic Doppler Current Profiler (ADCP) acquisitions with sediment depth profile sampling of the Ganga in Bangladesh we build a simple model to derive the annual flux and grain size distributions of the sediments. The model shows that ca. 390 (±30) Mt of sediments are transported on average each year through the Ganga at Haring Bridge (Bangladesh). Modeled average sediment grain size parameters D50 and D84 are 27 (±4) and 123 (±9) μm, respectively. Grain size parameters are used to infer average chemical compositions of the sediments owing to a strong grain size chemical composition relation. The integrated sediment flux is characterized by low Al/Si and Fe/Si ratios that are close to those inferred for the Himalayan crust. This implies that only limited sequestration occurs in the Gangetic floodplain. The stored sediment flux is estimated to c.a. 10% of the initial Himalayan sediment flux by geochemical mass balance. The associated, globally averaged sedimentation rates in the floodplain are found to be ca. 0.08 mm/yr and yield average Himalayan erosion rate of ca. 0.9 mm/yr. This study stresses the need to carefully address the average composition of river sediments before solving large-scale geochemical budgets.
    Description: This work was supported by INSU program “Relief de la Terre” and ANR Calimero. Valier Galy was supported by the U.S. National Science Foundation (grant OCE‐0851015).
    Keywords: Ganga ; Himalaya ; Chemical composition ; Floodplain ; River sediments
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
    Format: text/plain
    Format: application/vnd.ms-excel
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  • 10
    Keywords: TF VI ; Task Force VI ; Sedimentary Basins
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