Vermont EPSCoR Publications and Products


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Author Title [ Type(Desc)] Year
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Journal Article
Miatke B, Rizzo DM, Underwood KL, Schroth AW. A Framework for Estimating Nutrient and Sediment Loads that Leverages the Temporal Variability Embedded in Water Monitoring Data. Journal of Great Lakes Research. Under Review .
Howard L, Anderson I, Underwood KL, Dewoolkar MM, Deschaine LM, Rizzo DM. Heuristic assessment of bridge scour sensitivity using differential evolution: case study for linking floodplain encroachment and bridge scour. Environmental Systems Research [Internet]. 2016 ;5(20). Available from: http://environmentalsystemsresearch.springeropen.com/articles/10.1186/s40068-016-0071-4
Ross DS, Wemple B, Willson LJ, Balling C, Underwood KL, Hamshaw SD. Impact of an Extreme Storm Event on River Corridor Bank Erosion and Phosphorus Mobilization in a Mountainous Watershed in the Northeastern United States. Journal of Geophysical Research - Biogeosciences [Internet]. 2018 . Available from: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JG004497
Underwood KL, Rizzo DM, Hanley JP, Sterle G, Harpold A, Adler T, Li L, Wen H, Perdrial JN. Machine‐Learning Reveals Equifinality in Drivers of Stream DOC Concentration at Continental ScalesAbstractKey Points. Water Resources Research [Internet]. 2023 ;59(3). Available from: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021WR030551
Shakun JD, Corbett LB, Bierman PR, Underwood KL, Rizzo DM, Zimmerman SR, Caffee MW, Naish T, Golledge NR, Hay CC. Minimal East Antarctic Ice Sheet retreat onto land during the past eight million years. Nature [Internet]. 2018 ;558:284 - 287. Available from: https://www.nature.com/articles/s41586-018-0155-6
Pechenick AM, Rizzo DM, Morrissey LA, Garvey KM, Underwood KL, Wemple B. A multi-scale statistical approach to assess the effects of connectivity of road and stream networks on geomorphic channel condition. Earth Surface Processes and Landforms [Internet]. 2014 ;39(11):1538 - 1549. Available from: http://onlinelibrary.wiley.com/doi/10.1002/esp.3611/epdf
Worley LC, Underwood KL, Vartanian NLV, Dewoolkar MM, Matt JE, Rizzo DM. Semi-automated hydraulic model wrapper to support stakeholder evaluation: A floodplain reconnection study using 2D hydrologic engineering center's river analysis system. River Research and Applications [Internet]. 2022 ;38(4):799 - 809. Available from: https://onlinelibrary.wiley.com/doi/full/10.1002/rra.3946
Stewart B, Shanley JB, Kirchner JW, Norris D, Adler T, Bristol C, Harpold AA, Perdrial JN, Rizzo DM, Sterle G, et al. Streams as Mirrors: Reading Subsurface Water Chemistry From Stream Chemistry. Water Resources Research [Internet]. 2022 ;58(1). Available from: https://onlinelibrary.wiley.com/doi/10.1029/2021WR029931
Wen H, Perdrial JN, Abbott BW, Bernal S, Dupas R, Godsey SE, Harpold A, Rizzo DM, Underwood KL, Adler T, et al. Temperature controls production but hydrology regulates export of dissolved organic carbon at the catchment scale. Hydrology and Earth System Sciences [Internet]. 2020 ;24(2):945 - 966. Available from: https://www.hydrol-earth-syst-sci.net/24/945/2020/hess-24-945-2020.html
Poster
Perdrial JN, Adler T, Bristol C, Underwood KL, Rizzo DM, Wen H, Li L, Harpold AA, Sterle G, Hanley J. Combining complex systems analyses with process observations to understand stream dissolved organic carbon across scales. Goldschmidt 2020 [Internet]. 2020 . Available from: https://goldschmidtabstracts.info/2020/2060.pdf
Matt J, Underwood KL, Gourevitch JD, Diehl RM, Seigel RM, Worley L, Wemple BC, Rizzo DM. An enhanced low-complexity hydraulic model for assessment of floodplain rehabilitation alternatives. 2020 AGU (American Geophysical Union) Fall Meeting [Internet]. 2020 . Available from: https://agu.confex.com/agu/fm20/webprogram/Paper754122.html
Hamshaw SD, Rizzo DM, Underwood KL, Wemple B, Dewoolkar MM. High Frequency Turbidity Monitoring to Quantify Sediment Loading in the Mad River. 2014 NEAEB Conference. 2014 [cited 0BC].
Worley L, Underwood KL, Vartanian NLV, Eppstein MJ, Seigel RM, Rizzo DM. A Hydraulic Model Wrapper to Optimize Floodplain Reconnection Scenarios. 2020 AGU (American Geophysical Union) Fall Meeting [Internet]. 2020 . Available from: https://agu.confex.com/agu/fm20/webprogram/Paper674575.html
Hamshaw SD, Underwood KL, Rizzo DM, Bomblies A. Prediction of suspended sediment in rivers using artificial neural networks and future climate scenarios. NOAA 14th Annual Climate Prediction Applications Science Workshop [Internet]. 2016 . Available from: http://www.uvm.edu/~cpasw/agenda/CPASW_2016_Agenda.pdf
Dewoolkar MM, Hamshaw SD, Rizzo DM, O'Neil-Dunne J, Underwood KL. Quantifying reach-scale erosion and deposition using unmanned aircraft system (UAS) photogrammetry and airborne lidar. 2018 AGU (American Geophysical Union) Fall Meeting [Internet]. 2018 . Available from: https://agu.confex.com/agu/fm18/meetingapp.cgi/Paper/410036
Anderson HV, Hamshaw SD, Rizzo DM, Underwood KL, Dewoolkar MM, Bomblies A, Schroth AW, Miatke B. Quantifying Sediment and Phosphorous Loading from Streambank Erosion using Terrestrial Laser Scanning to Support Sediment and Nutrient Budgets. 2014 AGU (American Geophysical Union) Fall Meeting. 2014 .
Hamshaw SD, Dewoolkar MM, Rizzo DM, O'Neil-Dunne J, Frolik J, Underwood KL, Bryce TG, Waldron AY. Quantifying streambank erosion: a comparative study using an unmanned aerial system (UAS) and a terrestrial laser scanner. 2015 AGU (American Geophysical Union) Fall Meeting [Internet]. 2015 . Available from: https://agu.confex.com/agu/fm15/webprogram/Paper85568.html
Hamshaw SD, Underwood KL, Rizzo DM, Dewoolkar MM. Sediment Loading and Sources in the Mad River: Implications for sediment-bound nutrient management. IAGLR 2015 [Internet]. 2015 . Available from: http://www.iaglr.org/conference/downloads/2015_program.pdf
Hamshaw SD, Rizzo DM, Underwood KL, Wemple B, Dewoolkar MM. Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data. 2014 NEAEB Conference. 2014 .
Hecht JS, Zia A, Rizzo DM, Schroth A, Vaughan M, Underwood KL. The systematic underestimation of nutrient load variability in coupled streamflow-water quality models: effects on lake cyanobacteria bloom simulations. 2018 AGU (American Geophysical Union) Fall Meeting [Internet]. 2018 . Available from: https://agu.confex.com/agu/fm18/meetingapp.cgi/Paper/385098
Underwood KL, Hanley J, Rizzo DM, Sterle G, Harpold AA, Adler T, Li L, Wen H, Perdrial JN. Use of machine learning to extract patterns from long-term monitoring data across the US. ESA2020 (Harnessing the Ecological Data Revolution) [Internet]. 2020 . Available from: https://eco.confex.com/eco/2020/meetingapp.cgi/Paper/86651
Hamshaw SD, Underwood KL, Rizzo DM, Wemple B, Dewoolkar MM. Using Distributed Continuous Turbidity Monitoring to Inform Sediment and Sediment-bound Nutrient Budgets in a Small Watershed. 2014 AGU (American Geophysical Union) Fall Meeting. 2014 .

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