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Greater Blue Earth and Lake Pepin sediment fingerprinting data

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Patrick Belmont , Shawn Schottler
Description:

These data include grain size, meteoric Beryllium-10 concentrations, excess Lead-210 activities, and Cesium-137 activities for 158 sediment samples collected from within the Greater Blue Earth watershed and Lake Pepin, in southern Minnesota.

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Metadata

Name Value Last Modified
Funding Institution
  • National Science Foundation
Added by Jim(u/p) Myers on Jan 7, 2019
Grant Number
  • NSF ENG 1209445
Added by Jim(u/p) Myers on Jan 7, 2019
Methods
  • Grain size distributions were measured using a Sequoia Scientific LISST-Portable particle size laser diffractometer. The analysis procedure consisted of placing a small, well-mixed portion of the sample into the 175 mL chamber of the instrument filled with deionized water where a laser detects the light scattering pattern of the sample. The instrument offers two methods that assume different particle shapes (spherical or random) for processing of the data. The random shape assumption was applied in this study as previous work has shown that the scattering signature of particles that have large angles (as expected here, given the glacial and carbonate bedrock parent materials) is recognizably different from sphere-like particles. Following Stout et al., 2014, we used a 20 second laser diffraction measurement interval and used a sufficient amount of sample material to ensure that the transmission rates were between 30 and 70%, as recommended by the manufacturer. The chamber of the instrument was rinsed after analyzing the three samples for the same location to make sure that no particles from a previous location remained when analyzing another location. Suspended sediment fingerprinting samples were initially collected in acid washed 5 gallon buckets. Typically 20 gallons was collected for each sample. Samples were allowed to settle and clear water was siphoned off. Beryllium-10 samples were leached, as described in Belmont et al., 2011 and Belmont et al., 2014, or dissolved using standard procedures from the Purdue Rare Isotope Measurement Laboratory. Processing blanks were run with each batch of 8 samples and blank values were subtracted prior to computing the Beryllium-10 concentration. Excess Lead-210 and Cesium-137 samples were processed using the methods described in detail by Schottler et al., (2010). Measurements were made by alpha and gamma spectroscopy and corrections were applied for supported 210Pb and atmospheric deposition.
Added by Jim(u/p) Myers on Jan 7, 2019
Principal Investigator(s)
  • Patrick Belmont
Added by Jim(u/p) Myers on Jan 7, 2019
References
  • Belmont, P., Gran, K., Jennings, C.E., Wittkop, C., Day, S.S. (2011) Kirk Bryan Field Trip: Holocene landscape evolution and erosional processes in the Le Sueur River, central Minnesota. Guide book for 2011 GSA National Meeting Kirk Bryan Field Trip, Minneapolis, MN. Schottler, S. Engstrom, D. and Blumentritt, D. (2010) Fingerprinting Sources of Sediment in Large Agricultural River Systems. Final Report for Minnesota Pollution Control Agency.
Added by Jim(u/p) Myers on Jan 7, 2019
References
  • Gran, K.B., Belmont, P., Day, S.S., Finnegan, N., Jennings, C., Lauer, J.W., Wilcock, P.R. (2011) Landscape evolution in south-central Minnesota and the role of geomorphic history on modern erosional processes. GSA Today. 21 (9): 7-9
Added by Jim(u/p) Myers on Jan 7, 2019
References
  • Smith, S.M.C., Belmont, P., Wilcock, P.R. (2011) Closing the gap between watershed modeling, sediment budgeting, and stream restoration, in Stream Restoration in Dynamic Fluvial Systems: Scientific Approaches, Analyses, and Tools, AGU Geophysical Monograph Series, vol. 194, edited by A. Simon, S. J. Bennett, and J. M. Castro, pp. 293–317, AGU, Washington, D. C. doi:10.1029/2011GM001085
Added by Jim(u/p) Myers on Jan 7, 2019
References
  • Belmont, P., Gran, K.B., Schottler, S.P., Wilcock, P.R., Day, S.S., Jennings, C., Lauer, J.W., Viparelli, E., Willenbring, J.K., Engstrom, D.R., Parker, G. (2011) Large shift in source of fine sediment in the Upper Mississippi River. Environmental Science and Technology. 45, 8804–8810. dx.doi.org/10.1021/es2019109
Added by Jim(u/p) Myers on Jan 7, 2019
References
  • Viparelli, E., Lauer, J.W., Belmont, P., Parker, G. (2013) A Numerical Model to Develop Long-term Sediment Budgets Using Isotopic Sediment Fingerprints. Computers and Geosciences Special Issue on Modeling for Environmental Change. 53: 114-122. doi:10.1016/j.cageo.2011.10.003
Added by Jim(u/p) Myers on Jan 7, 2019
References
  • Maalim, F.K., Melesse, A.M., Belmont, P., Gran, K. (2013) Modeling the impact of land use changes on runoff and sediment yield in the Le Sueur watershed, Minnesota using GeoWEPP. Catena. 107: 35-45.
Added by Jim(u/p) Myers on Jan 7, 2019
References
  • Belmont, P., Willenbring, J.K., Schottler, S.P., Marquard. J., Kumarasamy, K., Hemmis, J. (2014) Toward generalizable sediment fingerprinting with tracers that are conservative and non-conservative over sediment routing timescales. Journal of Soils and Sediments. 14 (8), 1479-1492. DOI: 10.1007/s11368-014-0913-5
Added by Jim(u/p) Myers on Jan 7, 2019
References
  • Belmont, P., and Foufoula-Georgiou, E. (2017) Solving water quality problems in agricultural landscapes: new approaches for these nonlinear, multi-process, multi-scale systems. Water Resources Research. 53(4), 2585-2590. doi:10.1002/2017WR020839
Added by Jim(u/p) Myers on Jan 7, 2019
Contact
  • Patrick Belmont, http://orcid.org/0000-0002-8244-3854, patrick.belmont@usu.edu
Added by Jim(u/p) Myers on Jan 7, 2019
  • Funding Institution: National Science Foundation
  • Grant Number: NSF ENG 1209445
  • Methods: Grain size distributions were measured using a Sequoia Scientific LISST-Portable particle size laser diffractometer. The analysis procedure consisted of placing a small, well-mixed portion of the sample into the 175 mL chamber of the instrument filled with deionized water where a laser detects the light scattering pattern of the sample. The instrument offers two methods that assume different particle shapes (spherical or random) for processing of the data. The random shape assumption was applied in this study as previous work has shown that the scattering signature of particles that have large angles (as expected here, given the glacial and carbonate bedrock parent materials) is recognizably different from sphere-like particles. Following Stout et al., 2014, we used a 20 second laser diffraction measurement interval and used a sufficient amount of sample material to ensure that the transmission rates were between 30 and 70%, as recommended by the manufacturer. The chamber of the instrument was rinsed after analyzing the three samples for the same location to make sure that no particles from a previous location remained when analyzing another location. Suspended sediment fingerprinting samples were initially collected in acid washed 5 gallon buckets. Typically 20 gallons was collected for each sample. Samples were allowed to settle and clear water was siphoned off. Beryllium-10 samples were leached, as described in Belmont et al., 2011 and Belmont et al., 2014, or dissolved using standard procedures from the Purdue Rare Isotope Measurement Laboratory. Processing blanks were run with each batch of 8 samples and blank values were subtracted prior to computing the Beryllium-10 concentration. Excess Lead-210 and Cesium-137 samples were processed using the methods described in detail by Schottler et al., (2010). Measurements were made by alpha and gamma spectroscopy and corrections were applied for supported 210Pb and atmospheric deposition.
  • Principal Investigator(s): Patrick Belmont
  • References: Belmont, P., Gran, K., Jennings, C.E., Wittkop, C., Day, S.S. (2011) Kirk Bryan Field Trip: Holocene landscape evolution and erosional processes in the Le Sueur River, central Minnesota. Guide book for 2011 GSA National Meeting Kirk Bryan Field Trip, Minneapolis, MN. Schottler, S. Engstrom, D. and Blumentritt, D. (2010) Fingerprinting Sources of Sediment in Large Agricultural River Systems. Final Report for Minnesota Pollution Control Agency.
  • References: Gran, K.B., Belmont, P., Day, S.S., Finnegan, N., Jennings, C., Lauer, J.W., Wilcock, P.R. (2011) Landscape evolution in south-central Minnesota and the role of geomorphic history on modern erosional processes. GSA Today. 21 (9): 7-9
  • References: Smith, S.M.C., Belmont, P., Wilcock, P.R. (2011) Closing the gap between watershed modeling, sediment budgeting, and stream restoration, in Stream Restoration in Dynamic Fluvial Systems: Scientific Approaches, Analyses, and Tools, AGU Geophysical Monograph Series, vol. 194, edited by A. Simon, S. J. Bennett, and J. M. Castro, pp. 293–317, AGU, Washington, D. C. doi:10.1029/2011GM001085
  • References: Belmont, P., Gran, K.B., Schottler, S.P., Wilcock, P.R., Day, S.S., Jennings, C., Lauer, J.W., Viparelli, E., Willenbring, J.K., Engstrom, D.R., Parker, G. (2011) Large shift in source of fine sediment in the Upper Mississippi River. Environmental Science and Technology. 45, 8804–8810. dx.doi.org/10.1021/es2019109
  • References: Viparelli, E., Lauer, J.W., Belmont, P., Parker, G. (2013) A Numerical Model to Develop Long-term Sediment Budgets Using Isotopic Sediment Fingerprints. Computers and Geosciences Special Issue on Modeling for Environmental Change. 53: 114-122. doi:10.1016/j.cageo.2011.10.003
  • References: Maalim, F.K., Melesse, A.M., Belmont, P., Gran, K. (2013) Modeling the impact of land use changes on runoff and sediment yield in the Le Sueur watershed, Minnesota using GeoWEPP. Catena. 107: 35-45.
  • References: Belmont, P., Willenbring, J.K., Schottler, S.P., Marquard. J., Kumarasamy, K., Hemmis, J. (2014) Toward generalizable sediment fingerprinting with tracers that are conservative and non-conservative over sediment routing timescales. Journal of Soils and Sediments. 14 (8), 1479-1492. DOI: 10.1007/s11368-014-0913-5
  • References: Belmont, P., and Foufoula-Georgiou, E. (2017) Solving water quality problems in agricultural landscapes: new approaches for these nonlinear, multi-process, multi-scale systems. Water Resources Research. 53(4), 2585-2590. doi:10.1002/2017WR020839
  • Contact: Patrick Belmont, http://orcid.org/0000-0002-8244-3854, patrick.belmont@usu.edu

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