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  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Barnard, Patrick L; Erikson, Li H; Elias, Edwin; Dartnell, Peter (2012): Sediment transport patterns in the San Francisco Bay Coastal System from cross-validation of bedform asymmetry and modeled residual flux. Marine Geology, 345, 72-95, https://doi.org/10.1016/j.margeo.2012.10.011
    Publication Date: 2023-01-13
    Description: The morphology of ~45,000 bedforms from 13 multibeam bathymetry surveys was used as a proxy for identifying net bedload sediment transport directions and pathways throughout the San Francisco Bay estuary and adjacent outer coast. The spatially-averaged shape asymmetry of the bedforms reveals distinct pathways of ebb and flood transport. Additionally, the region-wide, ebb-oriented asymmetry of 5% suggests net seaward-directed transport within the estuarine-coastal system, with significant seaward asymmetry at the mouth of San Francisco Bay (11%), through the northern reaches of the Bay (7-8%), and among the largest bedforms (21% for lambda 〉 50 m). This general indication for the net transport of sand to the open coast strongly suggests that anthropogenic removal of sediment from the estuary, particularly along clearly defined seaward transport pathways, will limit the supply of sand to chronically eroding, open-coast beaches. The bedform asymmetry measurements significantly agree (up to ~ 76%) with modeled annual residual transport directions derived from a hydrodynamically-calibrated numerical model, and the orientation of adjacent, flow-sculpted seafloor features such as mega-flute structures, providing a comprehensive validation of the technique. The methods described in this paper to determine well-defined, cross-validated sediment transport pathways can be applied to estuarine-coastal systems globally where bedforms are present. The results can inform and improve regional sediment management practices to more efficiently utilize often limited sediment resources and mitigate current and future sediment supply-related impacts.
    Keywords: MB; Multibeam; San Francisco Bay, California; SF_bays
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 2
    Publication Date: 2023-01-13
    Keywords: Area/locality; Asymmetry; Bedform height; Depth, relative; MB; Multibeam; Multibeam bathymetry; Number; San Francisco Bay, California; SF_bays; Slope; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; Wavelength, bedform
    Type: Dataset
    Format: text/tab-separated-values, 254498 data points
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  • 3
    Publication Date: 2023-01-13
    Keywords: Area/locality; Asymmetry; Bedform height; Crest location, UTM Easting, Universal Transverse Mercator; Crest location, UTM Northing, Universal Transverse Mercator; Depth, relative; MB; Multibeam; Multibeam bathymetry; Sample ID; San Francisco Bay, California; SF_bays; Trough location, UTM Easting, Universal Transverse Mercator; Trough location, UTM Northing, Universal Transverse Mercator; Wavelength, bedform
    Type: Dataset
    Format: text/tab-separated-values, 673919 data points
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  • 4
    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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  • 5
    facet.materialart.
    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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  • 6
    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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  • 7
    Publication Date: 2023-07-10
    Keywords: Analysis; Sample amount
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
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  • 8
    Publication Date: 2023-07-10
    Keywords: Analysis; B-2-10-SF; BRP01; BRP02; BRP03; BRP04; BRP05; BRP06; BRP07; BRP08; BRP09; BRP10; BRP11; BRP12; BRP13; BRP14; BRP15; BRP16; BRP17; BRP18; BRP19; BRP20; Campaign of event; 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; Comment; 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; Event label; GGP01; GGP03; GGP07; GGP08; GGP09; GGP10; GGP11; GGP12; GGP13; GGP14; GGP15; GGP16; Grab; GRAB; HAND; Hand trowel; Latitude of event; Layer thickness; Longitude of event; 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-7-10-SF; S-8-10-SF; SAC01; SAC02; SACFP; SACHD; Sample comment; Sample type; Sampling by hand; San Francisco Bay, California; 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; 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; SFPCLF01; SFPCLF02A; SFPCLF02B; SFPCLF02C; SFPCLF03; SFPCLF04; SFPCLF05A; SFPCLF05B; SFPCLF05C; SFPCLF06; SFPCLF07; SFPCLF08; SFPCLF09; SFPCLF10; SFPCLF11A; SFPCLF11B_C; SFPCLF11D_E; SFPCLF13; SFPCLF14; SFPCLF15; SJC01; SJC02; SJRST; SPP01; SPP02; SPP03; SPP04; SPP05; SPP06; SPP07; SPP08; SPP09; SPP10; SPP11; SPP12; SPP13; SPP14; SPP15; SPP16; SSP01; SSP02; SSP03; SSP04; SSP05; SSP06; SSP07; SSP08; SSP09; SSP10; SSP11; SSP12; SSP13; SSP14; SSP15; SSP16; SSP17; SSP18; SSP19; TROW
    Type: Dataset
    Format: text/tab-separated-values, 2131 data points
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  • 9
    Publication Date: 2023-06-27
    Keywords: Alameda; BRP01; BRP02; BRP03; BRP04; BRP05; BRP06; BRP07; BRP08; BRP09; BRP10; BRP11; BRP12; BRP13; BRP14; BRP15; BRP16; BRP17; BRP18; BRP19; BRP20; C-1-3, Sunnyvale; C-3-0, San Jose; Campaign of event; CBP02; CBP05; CBP06; CBP07; CBP08; CBP09; CBP10; CBP11; CBP12; CBP14; CBP15; CBP17; CBP18; CBP19; CBP20; CBP23; CBP30; CBP31; CBP37; CBP38; CBP39; Coyote Creek; Date/Time of event; Date/Time of event 2; David Johnston; Davis Point; Dumbarton Bridge; Elevation of event; Event label; GGP01; GGP09; GGP10; GGP11; GGP12; GGP15; Grab; GRAB; Grizzly Bay; Guadalupe River; Honker Bay; Horseshoe Bay; J-1-98_01; J-1-98_02; J-1-98_03; J-1-98_04; J-1-98_05; J-1-98_06; J-1-98_07; J-1-98_08; J-1-98_10a; J-1-98_11; J-1-98_12; J-1-98_13; J-1-98_14; J-1-98_15; J-1-98_16; J-1-98_17a; J-1-98_18; J-1-98_19; J-1-98_20; J-1-98_21; J-1-98_22; J-1-98_23; J-1-98_24; J-1-98_25; J-1-98_26; J-1-98_27; J-1-98_28; J-1-98_29; J-1-98_30; J-1-98_31; J-1-98_32; J-1-98_33; J-1-98_34; J-1-98_35; J-1-98_36; J-1-98_37; J-1-98_38; J-1-98_39; J-1-98_40; J-1-98_41; J-1-98_42; J-1-98_43; J-1-98_44; J-1-98_45; J-1-98_46; J-1-98_47; J-1-98_48; J-1-98_49; J-1-98_50; J-1-98_51; J-1-98_52; J-1-98_53; J-1-98_54; J-1-98_55; J-1-98_56; J-1-98-SF; Latitude of event; Longitude of event; Napa River; Number; Optional event label; OSP01; OSP03; OSP05; OSP06; OSP10; OSP12; OSP13; OSP14; OSP15; OSP16; OSP17; OSP18; OSP22; OSP23; OSP24; OSP25; OSP26; OSP28; OSP29; OSP31; OSP32; OSP35; OSP36; OSP38; OSP39; Oyster Point; Pacheco Creek; Parke Snavely; Petaluma River; Pinole Point; Point Isabel; Red Rock; Redwood Creek; Richardson Bay; S-7-10-SF; S-8-10-SF; Sacramento River; Sample comment; San Bruno Shoal; San Francisco Bay, California; San Francisco Estuary Institute Regional Monitoring Program 1995-1998; San Joaquin River; San Pablo Bay; 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; SFEI; SFEI_BA05; SFEI_BA06; SFEI_BA10; SFEI_BA21; SFEI_BA30; SFEI_BA41; SFEI_BB15; SFEI_BB30; SFEI_BB70; SFEI_BC11; SFEI_BC21; SFEI_BC32; SFEI_BC41; SFEI_BC60; SFEI_BD15; SFEI_BD22; SFEI_BD31; SFEI_BD41; SFEI_BD50; SFEI_BF10; SFEI_BF21; SFEI_BF40; SFEI_BG20; SFEI_BG30; SFEI_BW10; SFEI_BW15; South Bay; SPP01; SPP02; SPP03; SPP04; SPP05; SPP06; SPP07; SPP08; SPP09; SPP10; SPP11; SPP12; SPP13; SPP14; SPP15; SPP16; SSP01; SSP02; SSP03; SSP04; SSP05; SSP06; SSP07; SSP08; SSP09; SSP16; SSP17; SSP18; SSP19; Standish Dam; Yerba Buena Island
    Type: Dataset
    Format: text/tab-separated-values, 241 data points
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  • 10
    Publication Date: 2018
    Description: 〈div data-abstract-type="normal"〉 〈p〉The Wadden Sea is a unique coastal wetland containing an uninterrupted stretch of tidal flats that span a distance of nearly 500km along the North Sea coast from the Netherlands to Denmark. The development of this system is under pressure of climate change and especially the associated acceleration in sea-level rise (SLR). Sustainable management of the system to ensure safety against flooding of the hinterland, to protect the environmental value and to optimise the economic activities in the area requires predictions of the future morphological development.〈/p〉 〈p〉The Dutch Wadden Sea has been accreting by importing sediment from the ebb-tidal deltas and the North Sea coasts of the barrier islands. The average accretion rate since 1926 has been higher than that of the local relative SLR. The large sediment imports are predominantly caused by the damming of the Zuiderzee and Lauwerszee rather than due to response to this rise in sea level. The intertidal flats in all tidal basins increased in height to compensate for SLR.〈/p〉 〈p〉The barrier islands, the ebb-tidal deltas and the tidal basins that comprise tidal channels and flats together form a sediment-sharing system. The residual sediment transport between a tidal basin and its ebb-tidal delta through the tidal inlet is influenced by different processes and mechanisms. In the Dutch Wadden Sea, residual flow, tidal asymmetry and dispersion are dominant. The interaction between tidal channels and tidal flats is governed by both tides and waves. The height of the tidal flats is the result of the balance between sand supply by the tide and resuspension by waves.〈/p〉 〈p〉At present, long-term modelling for evaluating the effects of accelerated SLR mainly relies on aggregated models. These models are used to evaluate the maximum rates of sediment import into the tidal basins in the Dutch Wadden Sea. These maximum rates are compared to the combined scenarios of SLR and extraction-induced subsidence, in order to explore the future state of the Dutch Wadden Sea.〈/p〉 〈p〉For the near future, up to 2030, the effect of accelerated SLR will be limited and hardly noticeable. Over the long term, by the year 2100, the effect depends on the SLR scenarios. According to the low-end scenario, there will be hardly any effect due to SLR until 2100, whereas according to the high-end scenario the effect will be noticeable already in 2050.〈/p〉 〈/div〉
    Print ISSN: 0016-7746
    Electronic ISSN: 1573-9708
    Topics: Geosciences
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