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Cho SJ, Braudrick CA, Dolph CL, et al. Simulation of fluvial sediment dynamics through strategic assessment of stream gaging data: A targeted watershed sediment loading analysis. J Environ Manage. 2020;277:111420doi: 10.1016/j.jenvman.2020.111420.
Cho, S. J., Braudrick, C. A., Dolph, C. L., Day, S. S., Dalzell, B. J., & Wilcock, P. R. (2021). Simulation of fluvial sediment dynamics through strategic assessment of stream gaging data: A targeted watershed sediment loading analysis. Journal of environmental management, 277111420. https://doi.org/10.1016/j.jenvman.2020.111420
Cho, Se Jong, et al. "Simulation of fluvial sediment dynamics through strategic assessment of stream gaging data: A targeted watershed sediment loading analysis." Journal of environmental management vol. 277 (2021): 111420. doi: https://doi.org/10.1016/j.jenvman.2020.111420
Cho SJ, Braudrick CA, Dolph CL, Day SS, Dalzell BJ, Wilcock PR. Simulation of fluvial sediment dynamics through strategic assessment of stream gaging data: A targeted watershed sediment loading analysis. J Environ Manage. 2021 Jan 01;277:111420. doi: 10.1016/j.jenvman.2020.111420. Epub 2020 Oct 10. PMID: 33049613.
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J Environ Manage. 2021 Jan 01;277:111420. doi: 10.1016/j.jenvman.2020.111420. Epub 2020 Oct 10.

Simulation of fluvial sediment dynamics through strategic assessment of stream gaging data: A targeted watershed sediment loading analysis.

Journal of environmental management

Se Jong Cho, Christian A Braudrick, Christine L Dolph, Stephanie S Day, Brent J Dalzell, Peter R Wilcock

Affiliations

  1. U.S. Geological Survey, Reston, VA, United States; St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN, United States. Electronic address: [email protected].
  2. Stillwater Sciences, Berkeley, CA, United States; Utah State University, Logan, UT, United States.
  3. Department of Ecology, Evolution and Behavior, University of Minnesota, St. Paul, MN, United States.
  4. North Dakota State University, Fargo, ND, United States.
  5. Soil and Water Management Research Unit, USDA-ARS, St. Paul, MN, United States; Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, United States.
  6. Utah State University, Logan, UT, United States.

PMID: 33049613 DOI: 10.1016/j.jenvman.2020.111420

Abstract

Near-channel sediment loading (NCSL) is localized and episodic, making it difficult to accurately quantify its cumulative contribution to watershed sediment loading, let alone predict the effects from changes in river discharge due to climate change or land management practices. We developed a methodological framework, using commonly available stream gaging data, for estimating watershed-scale NCSL, a feature generally absent in most watershed models. The method utilizes a network of paired gages that bracket the incised river corridors of 15 tributaries to the Minnesota River, in which near-channel sources are often the dominant contributors of sediment loading. For each set of paired gages, we calculate NCSL as the difference between the upstream and downstream sediment loading minus the field contribution between the gages. NCSL generally increases with river discharge when it exceeds the observed threshold benchmark in the tributaries of Minnesota River Basin; accordingly, we developed a predictive model for quantifying NCSL using river discharge as the independent variable. This approach provides a predictive basis for evaluating the impacts on near-channel sediment supply from increases in runoff and river discharge. Application of this approach includes evaluation of watershed-scale conservation trade-offs, where benefits of landscape management practices, such as wetlands and reservoirs are measured in terms of reduction in downstream near-channel sediment loading in the incised river corridors.

Published by Elsevier Ltd.

Keywords: Bluff erosion; Minnesota river; Near-channel sediment; Sediment transport; Stream erosion

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