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  • 1
    Publication Date: 2023-09-13
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉The sampling of fluvial sediment is subject to many sources of uncertainty, for example, time and location, and the number of samples collected. It is nevertheless commonly assumed that a sample taken at one time and location provides a somewhat averaged compositional signal. Any spatial or temporal variability of this signal is often neglected. This study investigates how the composition of bed load sand changes over an observation period of 1 year in four river basins with differing bedrock geology in southwestern Germany. Up to 12 bulk sediment samples were taken at the same locations using the same approach and analyzed for their granulometry and geochemistry. The results indicate that (a) different grain sizes yield different compositions due to source rock composition and hydraulic sorting effects, (b) bulk sediment composition changes temporally due to changing grain‐size distribution, and (c) compared to the bulk sample, the composition of narrow grain sizes is temporally more stable but nevertheless has an average variability of 15%. Because heavy mineral‐bound elements such as Zr have the highest variability, we relate a major component of compositional variability to temporally varying heavy mineral concentrations in response to hydrodynamic processes. Mixing modeling demonstrates that the fluvial sand faithfully reflects its catchment geology and that the sediment sources do not change substantially during the observation period, even during a flooding event. We conclude (a) that the causes for compositional variability may be disentangled using chemical and granulometric time series data and (b) that narrow grain sizes yield representative source rock contributions.〈/p〉
    Description: Plain Language Summary: Sediment transported by rivers is generated by the erosion of the rocks present within the river catchment area. The composition of this sediment is controlled by various processes in the catchment, for example, climate, rock type, weathering, and flow strength. Geoscientists can use modern river sediment to understand how these processes impact sediment composition, and then apply this information to the geologic time. Sampling the river sediment is often the first step in such studies, but few studies consider the sources of uncertainty during sampling, for example, time and location of sampling, and number of collected samples. For this study, we returned to the same river location during the course of 1 year to take bulk sediment samples and analyzed how variable the size of sediment grains and the sediment chemistry are. We discovered that different grain sizes yield different chemical compositions, and this is caused by differences in rock type and hydraulic processes. Because the proportion of different grain sizes in the bulk sediment changes over the year due to water flow conditions, the chemistry of the bulk sediment sample changes over the year. We provide some quantitative estimates for this variability that should be considered in similar studies.〈/p〉
    Description: Key Points: Bed load sand from 4 rivers was sampled monthly over the course of 1 year to analyze the temporal compositional variability. Composition is grain‐size‐dependent, and narrow grain‐size fractions show less variability than bulk sediment samples. Composition changes during the year, and this is related to changing grain‐size distributions rather than changing sediment sources.
    Description: https://doi.pangaea.de/10.1594/PANGAEA.959006
    Keywords: ddc:551.9 ; geochemistry ; provenance ; grain‐size ; variability ; bed load ; fluvial sediment
    Language: English
    Type: doc-type:article
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Geologische Rundschau 86 (1997), S. 288-310 
    ISSN: 0016-7835
    Keywords: Key words Denudation ; Sediment yield ; Relief ; Climate ; Sedimentation rate ; Lifetime of basins ; Artificial reservoirs
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences
    Notes: Abstract  Water reservoirs, lakes, and larger basins, including their drainage areas, represent sedimentologically closed to semi-closed denudation-accumulation systems. The mean rates of mechanical denudation, DRme, and clastic sedimentation, SRme, are related by the ratio of the drainage/lake area, Ad/Al. If the latter is known, DRme (or the specific sediment yield SY in t per km2/a) can be calculated from SRme, or vice versa. The best data for modern SY mainly come from the sediment fills of artificial reservoirs. Small drainage areas of mountainous regions show SY values up to two orders of magnitude higher than lowlands and approximately one order higher than larger regions of mixed relief. This is also true of arid to semi-arid zones which often provide approximately as much sediment (SY) as humid temperate and even tropical zones of comparable relief. Lithology and climate (river runoff) also may play some role for SY from catchments of limited size. The importance of these factors is exemplified by perialpine lakes and two East African lakes. Sediment yields gained from some large reservoirs compare well with long-term denudation rates derived from geological studies (e.g., the Tarbela dam reservoir along the Indus River). In many other cases, human activities have raised SY by factors of 2–10, locally up to 〉100. Artificial reservoirs in mountainous regions with SY in the range of 300–2000 t per km2/a tend to become filled within several tens to hundreds of years; some have even shorter lifetimes. Perialpine lakes of the Alps and British Columbia are strongly affected by delta prograding and have lifetimes mostly between 15 and 40 ka. Closed lake systems in deep morphological depressions (Lake Bonneville, Aral Sea, northern Caspian Sea) have a high potential for sediment storage up to the level of spillover and therefore can persist over long time periods. Basins with markedly subsiding basin floors (lakes of the East African rift zone, the southern Caspian Sea, and the Black Sea, both on oceanic crust) can survive for many Ma in the future, despite relatively high terrigenous input.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Geologische Rundschau 86 (1997), S. 372-388 
    ISSN: 0016-7835
    Keywords: Key words Groundwater acidification ; Black Forest ; Future evolution ; Modelling
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences
    Notes: Abstract  Acidification of groundwater lags behind acid deposition due to the relatively long water residence time in conjunction with various buffering processes in the soil zone and deeper aquifer (chemical weathering, cation exchange, sulfate sorption, and N uptake by the biomass). Extensive field data from eight forested catchments in the Bunter Sandstone of the Black Forest, including results from water budget studies and hydrochemical analysis of stream and spring waters, were used to simulate the future evolution of ground-water acidification with the MAGIC model. The present acid deposition exceeds the “critical load” (here meaning buffering due to chemical weathering and protonation of organic acids) in six of eight catchments. Two catchments are well buffered because they contain carbonate-bearing layers in the Upper Bunter sandstone. Transient buffering (i.e., cation exchange, N uptake, the sulfate sorption) thus far prevents worse acidification, but this effect will decline in the future. For one of the poorly buffered catchments (Seebach), a two-layer simulation was carried out, based on extensive data from 10 years of measurements. Validation of the long-term simulations by hydrochemical and soil data was hampered by strong annual variations but generally supported by paleolimnological studies. In the future, reductions in the S deposition by 20% and the N deposition by 10% up to the year 2030 are assumed as the most probable scenario. N uptake through soil and vegetation will come to an end as suggested by decreasing C/N ratios of the organic matter. This process is arbitrarily included in the simulations. In the periglacial soil layer, acidification will decrease until the year 2030 and then approach a steady-state condition. In the fractured aquifer, acidification will also proceed at a decreasing rate; however, sulfate desorption up to the year 2130, the end of simulated period, will prevent earlier remediation. Despite a significant reduction in S deposition since the mid-1980s, further efforts are necessary to reduce the emission of acidifying substances. Liming in the recharge area is partially effective to ameliorate “shallow” groundwater but largely fails to ameliorate “deeper” groundwater in the sandstone aquifer.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Water, air & soil pollution 85 (1995), S. 719-724 
    ISSN: 1573-2932
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract An extensive database from eight Triassic (Bunter) sandstone catchments in the Black Forest, SW Germany, was used to apply the MAGIC model and simulate long-term acidification trends. Using the ion ratio (Ca+Mg)/(SO4+NO3) as criterium (values〈 1.5 indicate an acidified state), hindcast simulations showed that the brooks of three catchments have reached values 〈1.5, three catchments are approaching 1.5, and two catchments (carbonate bearing upper Bunter) are still well above this limit. The different acidification state of the catchments is mainly caused by the amount of acidic deposition and bedrock geology. Other differences (shallow or deep groundwater circulation, sulphate sorption and soil parameters) are less significant. To simulate the future evolution, three scenarios were tested: a pessimistic, an optimistic and a most probable case. The latter leads to a still progressing but decelerated acidifcation in the next 100 years. In the pessimistic case, acidification rates will be accelerated in two of the catchments. Even in the optimistic case, the initial state, prior to acidification, cannot be restored up to the year 2130. However, the forecasting of the future evolution is still markedly hampered by the significant uncertainty in the evaluation of nitrogen-driven acidification, a process which today already predominates in parts of the Black Forest.
    Type of Medium: Electronic Resource
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  • 5
    Publication Date: 2019
    Description: 〈span〉〈div〉Abstract〈/div〉Palaeozoic sedimentary successions in northern Ethiopia contain evidence for two Gondwana glaciations during the Late Ordovician and Carboniferous–Permian. We compare sediments of the two glaciations regarding their detrital zircon U–Pb ages. The main age group for both formations is Pan-African (〈span〉c〈/span〉. 550–700 Ma). However, the remaining spectra are different: The Upper Ordovician–Lower Silurian Enticho Sandstone is characterised by a Stenian–Tonian (〈span〉c.〈/span〉 1 Ga) zircon population. The Carboniferous–Permian Edaga Arbi Glacials contain a prominent 〈span〉c.〈/span〉 800 Ma population. The Stenian–Tonian zircons are likely derived from the centre of the East African Orogen and were supplied via the Gondwana super-fan system. This material was transported by the Late Ordovician glaciers and formed the Enticho Sandstone. Tonian (〈span〉c.〈/span〉 800 Ma) zircons are abundant in the Ethiopian basement and represent the earliest formation stage of the southern Arabian–Nubian Shield. Glaciers of the Late Palaeozoic Ice Age must have cut deeply into the basement for efficient erosion. No recycling of the Enticho Sandstone by the Edaga Arbi Glacials took place on a grand scale — probably because sedimentation of the former was limited to northern Ethiopia, whereas the source area for the latter was to the south.〈strong〉Supplementary material:〈/strong〉 A detailed description of the analytical parameters and supplementary data are available at 〈a href="https://doi.org/10.6084/m9.figshare.c.4605548"〉https://doi.org/10.6084/m9.figshare.c.4605548〈/a〉.〈/span〉
    Print ISSN: 0370-291X
    Topics: Geosciences
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  • 6
    Publication Date: 1995-01-01
    Print ISSN: 0049-6979
    Electronic ISSN: 1573-2932
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Springer
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  • 7
    Publication Date: 2002-04-01
    Print ISSN: 0037-0738
    Electronic ISSN: 1879-0968
    Topics: Geosciences
    Published by Elsevier
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  • 8
    Publication Date: 2012-07-11
    Print ISSN: 0148-0227
    Electronic ISSN: 2156-2202
    Topics: Geosciences
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  • 9
    Publication Date: 2010-06-06
    Print ISSN: 1437-3254
    Electronic ISSN: 1437-3262
    Topics: Geosciences
    Published by Springer
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  • 10
    Publication Date: 1997-08-28
    Print ISSN: 0016-7835
    Electronic ISSN: 1432-1149
    Topics: Geosciences
    Published by Springer
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