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  • 1
    Book
    Book
    Amsterdam [u.a.] : Elsevier
    Type of Medium: Book
    Pages: V, S. 1 - 124 , graph. Darst., Kt.
    Series Statement: Marine Chemistry 104.2007,1/2
    Language: English
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  • 2
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Ground water 42 (2004), S. 0 
    ISSN: 1745-6584
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Geosciences
    Notes: Ground water sources can be a significant portion of a local water budget in estuarine environments, particularly in areas with high recharge rates, transmissive aquifers, and permeable marine sediments. However, field measurements of ground water discharge are often incongruent with ground water flow modeling results, leaving many scientists unsure which estimates are accurate. In this study, we find that both measurements and model results are reasonable. The difference between estimates apparently results from the sources of water being measured and not the techniques themselves. In two locations in the Indian River Lagoon estuarine system, we found seepage meter rates similar to rates calculated from the geochemical tracers 222Rn and 226Ra. Ground water discharge rates ranged from 4 to 9 cm/d using seepage meters and 3 to 20 cm/d using 222Rn and 226Ra. In contrast, in comparisons to other studies where finite element ground water flow modeling was used, much lower ground water discharge rates of ∼0.05 to 0.15 cm/d were estimated. These low rates probably represent discharge of meteoric ground water from land-recharged aquifers, while the much higher rates measured with seepage meters, 222Rn, and 226Ra likely include an additional source of surface waters that regularly flush shallow (〈 1 m depth) sediments. This resultant total flow of mixed land-recharged water and recirculated surface waters contributes to the total biogeochemical loading in this shallow estuarine environment.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Ground water 42 (2004), S. 0 
    ISSN: 1745-6584
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Geosciences
    Notes: Submarine ground water discharge is suggested to be an important pathway for contaminants from continents to coastal zones, but its significance depends on the volume of water and concentrations of contaminants that originate in continental aquifers. Ground water discharge to the Banana River Lagoon, Florida, was estimated by analyzing the temporal and spatial variations of Cl− concentration profiles in the upper 230 cm of pore waters and was measured directly by seepage meters. Total submarine ground water discharge consists of slow discharge at depths 〉 ∼70 cm below seafloor (cmbsf) of largely marine water combined with rapid discharge of mixed pore water and estuarine water above ∼70 cmbsf. Cl− profiles indicate average linear velocities of ∼0.014 cm/d at depths 〉 ∼70 cmbsf. In contrast, seepage meters indicate water discharges across the sediment-water interface at rates between 3.6 and 6.9 cm/d. The discrepancy appears to be caused by mixing in the shallow sediment, which may result from a combination of bioirrigation, wave and tidal pumping, and convection. Wave and tidal pumping and convection would be minor because the tidal range is small, the short fetch of the lagoon limits wave heights, and large density contacts are lacking between lagoon and pore water. Mixing occurs to ∼70 cmbsf, which represents depths greater than previously reported. Mixing of oxygenated water to these depths could be important for remineralization of organic matter.
    Type of Medium: Electronic Resource
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  • 4
    Publication Date: 2024-02-07
    Description: Ocean acidification (OA) is a serious consequence of climate change with complex organism-to-ecosystem effects that have been observed through field observations but are mainly derived from experimental studies. Although OA trends and the resulting biological impacts are likely exacerbated in the semi-enclosed and highly populated Mediterranean Sea, some fundamental knowledge gaps still exist. These gaps are at tributed to both the uneven capacity for OA research that exists between Mediterranean countries, as well as to the subtle and long-term biological, physical and chemical interactions that define OA impacts. In this paper, we systematically analyzed the different aspects of OA research in the Mediterranean region based on two sources: the United Nation’s International Atomic Energy Agency’s (IAEA) Ocean Acidification International Coordination Center (OA-ICC) database, and an extensive survey. Our analysis shows that 1) there is an uneven geographic capacity in OA research, and illustrates that both the Algero-Provencal and Ionian sub-basins are currently the least studied Mediterranean areas, 2) the carbonate system is still poorly quantified in coastal zones, and long-term time-series are still sparse across the Mediterranean Sea, which is a challenge for studying its variability and assessing coastal OA trends, 3) the most studied groups of organisms are autotrophs (algae, phanerogams, phytoplankton), mollusks, and corals, while microbes, small mollusks (mainly pteropods), and sponges are among the least studied, 4) there is an overall paucity in socio-economic, paleontological, and modeling studies in the Mediterranean Sea, and 5) in spite of general resource availability and the agreement for improved and coordinated OA governance, there is a lack of consistent OA policies in the Mediterranean Sea. In addition to highlighting the current status, trends and gaps of OA research, this work also provides recommendations, based on both our literature assessment and a survey that targeted the Mediterranean OA scientific community. In light of the ongoing 2021-2030 United Nations Decade of Ocean Science for Sustainable Development, this work might provide a guideline to close gaps of knowledge in the Mediterranean OA research.
    Type: Article , PeerReviewed
    Format: text
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  • 5
    Publication Date: 2024-02-07
    Description: The Peruvian upwelling zone is one of the most productive marine ecosystems in the world with a spectacular, pronounced oxygen minimum zone (OMZ). Globally OMZs are increasing in size and intensity with far-reaching consequences for the marine biological carbon pump and carbon export; thus, these zones need to be carefully monitored to be able to understand future climate change impacts. The current study was carried out in 2013 and 2017 to quantify the vertical flux of organic matter exported out of the productive surface layer by measuring 234Thsingle bond238U disequilibria in the water column. Samples were collected in January 2013 and May 2017 along an identical transect located at 12°S off the Peruvian coast near Lima, Peru. Th-234 fluxes ranged from 0 to 2088 ± 95 dpm m−2 d−1 in 2013 and 698 ± 63 to 3648 ± 113 dpm m−2 d−1 in 2017. The corresponding POC fluxes varied between 0 and 164.2 ± 7.9 mg C m−2 d−1 in 2013 and 22.7 ± 2.7 to 133.1 ± 15.2 mg C m−2 d−1 in 2017, with POC fluxes gradually decreasing with distance from the coast. Despite higher POC fluxes, the export efficiencies were found to be extremely low due to high particle remineralization rates observed within the euphotic zone.
    Type: Article , PeerReviewed
    Format: text
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  • 6
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    PANGAEA
    In:  Supplement to: Rosenbauer, Robert J; Foxgrover, Amy C; Hein, James R; Swarzenski, Peter W (2013): A Sr–Nd isotopic study of sand-sized sediment provenance and transport for the San Francisco Bay coastal system. Marine Geology, 345, 143-153, https://doi.org/10.1016/j.margeo.2013.01.002
    Publication Date: 2023-05-12
    Description: A diverse suite of geochemical tracers, including 87Sr/86Sr and 143Nd/144Nd isotope ratios, the rare earth elements (REEs), and select trace elements were used to determine sand-sized sediment provenance and transport pathways within the San Francisco Bay coastal system. This study complements a large interdisciplinary effort (Barnard et al., 2012) that seeks to better understand recent geomorphic change in a highly urbanized and dynamic estuarine-coastal setting. Sand-sized sediment provenance in this geologically complex system is important to estuarine resource managers and was assessed by examining the geographic distribution of this suite of geochemical tracers from the primary sources (fluvial and rock) throughout the bay, adjacent coast, and beaches. Due to their intrinsic geochemical nature, 143Nd/144Nd isotopic ratios provide the most resolved picture of where sediment in this system is likely sourced and how it moves through this estuarine system into the Pacific Ocean. For example, Nd isotopes confirm that the predominant source of sand-sized sediment to Suisun Bay, San Pablo Bay, and Central Bay is the Sierra Nevada Batholith via the Sacramento River, with lesser contributions from the Napa and San Joaquin Rivers. Isotopic ratios also reveal hot-spots of local sediment accumulation, such as the basalt and chert deposits around the Golden Gate Bridge and the high magnetite deposits of Ocean Beach. Sand-sized sediment that exits San Francisco Bay accumulates on the ebb-tidal delta and is in part conveyed southward by long-shore currents. Broadly, the geochemical tracers reveal a complex story of multiple sediment sources, dynamic intra-bay sediment mixing and reworking, and eventual dilution and transport by energetic marine processes. Combined geochemical results provide information on sediment movement into and through San Francisco Bay and further our understanding of how sustained anthropogenic activities which limit sediment inputs to the system (e.g., dike and dam construction) as well as those which directly remove sediments from within the Bay, such as aggregate mining and dredging, can have long-lasting effects.
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 7
    Publication Date: 2023-05-12
    Keywords: Aluminium; Antimony; Arsenic; Baker_Beach_West; Barium; Beryllium; Bismuth; Bonita_Cove_Central; Cadmium; Caesium; Calcium; Cerium; Chromium; Cobalt; Copper; Date/Time of event; DEPTH, sediment/rock; Description; Event label; Gallium; Grab; GRAB; Hand trowel; Inductively coupled plasma - mass spectrometry (ICP-MS); Iron; Lanthanum; Latitude of event; Lead; Lithium; Longitude of event; Magnesium; Manganese; Molybdenum; MSF37-2005; Nickel; Niobium; North_Ocean_Beach; OB23-2005; Phosphorus; Potassium; Pt_Bonita_1; Rodeo_Beach_2; Rubidium; Sand Wave Field; San Francisco Bay, California; Scandium; Silver; Sodium; South_Ocean_Beach; South Ocean Beach Offshore; Strontium; Thallium; Thorium; Titanium; TROW; Uranium; Vanadium; Yttrium; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 304 data points
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  • 8
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    Unknown
    PANGAEA
    In:  Supplement to: Barnard, Patrick L; Foxgrover, Amy C; Elias, Edwin; Erikson, Li H; Hein, James R; McGann, Mary L; Mizell, Kira; Rosenbauer, Robert J; Swarzenski, Peter W; Takesue, Renee K; Wong, Florence L; Woodrow, Donald L (2013): Integration of bed characteristics, geochemical tracers, current measurements, and numerical modeling for assessing the provenance of beach sand in the San Francisco Bay Coastal System. Marine Geology, 336, 120-145, https://doi.org/10.1016/j.margeo.2012.11.008
    Publication Date: 2023-05-12
    Description: Over 150 million cubic meter of sand-sized sediment has disappeared from the central region of the San Francisco Bay Coastal System during the last half century. This enormous loss may reflect numerous anthropogenic influences, such as watershed damming, bay-fill development, aggregate mining, and dredging. The reduction in Bay sediment also appears to be linked to a reduction in sediment supply and recent widespread erosion of adjacent beaches, wetlands, and submarine environments. A unique, multi-faceted provenance study was performed to definitively establish the primary sources, sinks, and transport pathways of beach sized-sand in the region, thereby identifying the activities and processes that directly limit supply to the outer coast. This integrative program is based on comprehensive surficial sediment sampling of the San Francisco Bay Coastal System, including the seabed, Bay floor, area beaches, adjacent rock units, and major drainages. Analyses of sample morphometrics and biological composition (e.g., Foraminifera) were then integrated with a suite of tracers including 87Sr/86Sr and 143Nd/144Nd isotopes, rare earth elements, semi-quantitative X-ray diffraction mineralogy, and heavy minerals, and with process-based numerical modeling, in situ current measurements, and bedform asymmetry to robustly determine the provenance of beach-sized sand in the region.
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 9
    Publication Date: 2023-06-27
    Keywords: B-2-10-SF; BRP02; BRP04; BRP06; BRP08; BRP10; BRP14; BRP16; BRP18; BRP19; CBP05; CBP07; CBP11; CBP15; CBP19; CBP25; CBP26; CBP33; CBP37; CBP41; CBP42; CBP46; Comment; CR_01; CR_03; CR_04; CR_06B; CR_07B; CR_08; CR_09; CR_10; CR_11A1; CR_15A; DEPTH, sediment/rock; Event label; GGP01; GGP03; GGP09; GGP12; GGP15; Grab; GRAB; HAND; Hand trowel; Latitude of event; Longitude of event; Mass spectrometer Thermo Finnigan Thermal Ionization (TIMS); Neodymium-143/Neodymium-144 ratio; Neodymium-143/Neodymium-144 ratio, error; OSP01; OSP05; OSP13; OSP22; OSP25; OSP28; OSP31; OSP35; OSP39; Parke Snavely; S-7-10-SF; S-8-10-SF; SAC01; SACFP; SACHD; Sample type; Sampling by hand; San Francisco Bay, California; SBP02; SBP06; SBP13; SFPBCH11; SFPBCH14; SFPBCH17; SFPBCH19; SFPBCH20; SFPBCH21; SFPBCH22; SFPBCH25; SFPBCH27; SFPBCH28; SFPBCH32; SFPBCH33; SFPBCH34; SFPBCH36; SFPBCH40; SFPBCH42; SFPCLF01; SFPCLF02A; SFPCLF03; SFPCLF04; SFPCLF05A; SFPCLF07; SFPCLF08; SFPCLF09; SFPCLF11A; SFPCLF13; SJC02; SJRST; SPP07; SPP12; SPP16; SSP01; SSP04; SSP07; SSP11; SSP17; Strontium; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, error; TROW; ε-Neodymium
    Type: Dataset
    Format: text/tab-separated-values, 667 data points
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  • 10
    Publication Date: 2023-06-27
    Keywords: B_05_11_SF; B-2-10-SF; BA10; BA41; BC11; BD31; Beckman Coulter Laser diffraction particle size analyzer LS 100Q; BF21; BG20; BG30; BRMP01; BRMP02; BRMP03; BRMP04; BRMP05; BRMP06; BRMP07; BRMP08; BRMP09; BRMP10; BRMP11; BRMP12; BRMP13; BRMP14; BRMP15; BRMP16; BRMP17; BRMP18; BRP01; BRP02; BRP03; BRP04; BRP05; BRP06; BRP07; BRP08; BRP09; BRP10; BRP11; BRP12; BRP13; BRP14; BRP15; BRP16; BRP17; BRP18; BRP19; BRP20; Campaign of event; Carbon, inorganic, total; Carbon, organic, total; Carbon, total; CB001S; CB002S; CB023S; CB024S; CB041S; CB088S; CB107S; CB112S; CBMP01; CBMP02; CBMP03; CBMP04; CBMP06; CBMP09; CBMP10; CBMP11; CBMP12; CBMP13; CBMP14; CBMP16; CBMP17; CBMP18; CBMP19; CBMP20; CBMP21; CBMP22; CBMP23; CBMP24; CBMP25; CBMP26; CBMP27; CBMP28; CBMP29; CBMP30; CBMP31; CBMP32; CBMP33; CBMP34; CBMP35; CBMP36; CBMP37; CBMP40; CBP02; CBP05; CBP06; CBP07; CBP08; CBP09; CBP10; CBP11; CBP12; CBP14; CBP15; CBP17; CBP18; CBP19; CBP20; CBP21; CBP22; CBP23; CBP25; CBP26; CBP27; CBP28; CBP29; CBP30; CBP31; CBP32; CBP33; CBP34; CBP35; CBP36; CBP37; CBP38; CBP39; CBP40; CBP41; CBP42; CBP43; CBP45; CBP46; CBP47; CBP48; CR_01; CR_02A; CR_02B; CR_02C; CR_02D; CR_03; CR_04; CR_06B; CR_07B; CR_08; CR_09; CR_10; CR_11A1; CR_11A2; CR_11B; CR_15A; CR_15B; Date/Time of event; DEPTH, sediment/rock; E2g; Endeavor (USBR); Event label; GGP01; GGP03; GGP07; GGP08; GGP09; GGP10; GGP11; GGP12; GGP13; GGP14; GGP15; GGP16; Grab; GRAB; Grain size, mean; Grain size, sieving; Hand trowel; Kurtosis; Latitude of event; Longitude of event; LSB001S; LSB002S; LSB024S; LSB041S; LSB042S; LSB070S; LSB121S; LSB129S; OSP01; OSP02; OSP03; OSP05; OSP06; OSP07; OSP08; OSP09; OSP10; OSP11; OSP12; OSP13; OSP14; OSP15; OSP16; OSP17; OSP18; OSP22; OSP23; OSP24; OSP25; OSP26; OSP28; OSP29; OSP30; OSP31; OSP32; OSP33; OSP34; OSP35; OSP36; OSP37; OSP38; OSP39; Parke Snavely; S_01_12_SF; S-7-10-SF; S-8-10-SF; SAC01; SAC02; SACFP; SACHD; Sample type; San Francisco Bay, California; SB002S; SB023S; SB024S; SB041S; SB042S; SB099S; SB102S; SB114S; SBMP02; SBMP03; SBMP04; SBMP05; SBMP06; SBMP07; SBMP08; SBMP09; SBMP10; SBMP11; SBMP12; SBMP13; SBMP14; SBMP15; SBMP16; SBMP17; SBMP18; SBMP19; SBMP20; SBMP22; SBMP23; SBMP24; SBMP25; SBMP26; SBMP27; SBMP28; SBMP29; SBMP30; SBMP31; SBMP32; SBMP33; SBMP34; SBMP36; SBMP37; SBMP38; SBP01; SBP02; SBP03; SBP04; SBP05; SBP06; SBP07; SBP08; SBP09; SBP10; SBP11; SBP12; SBP13; SBP14; SBP15; SBP16; SBP17; SBP18; SBP19; SBP20; SBP21; SBP22; SBP23; SBP24; SBP25; SBP27; SBP28; SF_21027; SF_21302; SF_21313; SFPBCH01; SFPBCH02; SFPBCH03; SFPBCH04; SFPBCH05; SFPBCH06; SFPBCH07; SFPBCH08; SFPBCH09; SFPBCH10; SFPBCH11; SFPBCH12; SFPBCH13; SFPBCH14; SFPBCH15; SFPBCH16; SFPBCH17; SFPBCH18; SFPBCH19; SFPBCH20; SFPBCH21; SFPBCH22; SFPBCH23; SFPBCH24; SFPBCH25; SFPBCH26; SFPBCH27; SFPBCH28; SFPBCH29; SFPBCH30; SFPBCH31; SFPBCH32; SFPBCH33; SFPBCH34; SFPBCH35; SFPBCH36; SFPBCH37; SFPBCH38; SFPBCH39; SFPBCH40; SFPBCH41; SFPBCH42; Size fraction 〈 0.004 mm, clay; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〉 2 mm, gravel; Size fraction 0.063-0.004 mm, silt; Size fraction 2.000-0.063 mm, sand; SJC01; SJC02; SJRST; Skewness; SPB001S; SPB002S; SPB023S; SPB024S; SPB042S; SPB055S; SPB088S; SPB132S; SPMP01; SPMP02; SPMP03; SPMP04; SPMP05; SPMP06; SPMP07; SPMP08; SPMP09; SPMP10; SPMP11; SPMP12; SPMP13; SPMP14; SPMP15; SPMP16; SPMP17; SPMP18; SPMP19; SPMP20; SPMP22; SPP01; SPP02; SPP03; SPP04; SPP05; SPP06; SPP07; SPP08; SPP09; SPP10; SPP11; SPP12; SPP13; SPP14; SPP15; SPP16; SSMP01; SSMP03; SSMP04; SSMP07; SSMP08; SSMP09; SSMP10; SSMP12; SSMP13; SSMP14; SSMP15; SSP01; SSP02; SSP03; SSP04; SSP05; SSP06; SSP07; SSP08; SSP09; SSP10; SSP11; SSP12; SSP13; SSP14; SSP15; SSP16; SSP17; SSP18; SSP19; Standard deviation; SU001S; SU023S; SU024S; SU043S; SU048S; SU055S; SU073S; SUO44S; TROW; Variance
    Type: Dataset
    Format: text/tab-separated-values, 6075 data points
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