Vermont EPSCoR Publications and Products
Export 48 results:
Author Title [ Type] Year Filters: Author is Kristen L Underwood [Clear All Filters]
Smart Classification and Bayesian Inference for Evaluating River Sensitivity to Natural and Human Disturbances: A Data Science Approach. Burlington, VT: University of Vermont; 2018.
. 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 .
. 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
. 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
. Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data. 2014 NEAEB Conference. 2014 .
. 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
. 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
. 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 .
. 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
. 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
. 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
. High Frequency Turbidity Monitoring to Quantify Sediment Loading in the Mad River. 2014 NEAEB Conference. 2014 [cited 0BC].
. 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
. 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
. 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
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
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
. 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
. 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
. 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
. 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
. 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
. 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 .
. Evaluating Spatial Variability in Sediment and Phosphorus Concentration-Discharge Relationships Using Bayesian Inference and Self-Organizing Maps. Water Resources Research [Internet]. 2017 ;53. Available from: http://onlinelibrary.wiley.com/doi/10.1002/2017WR021353/full
. Drivers of Dissolved Organic Carbon Mobilization From Forested Headwater Catchments: A Multi Scaled Approach. Frontiers in Water [Internet]. 2021 ;3. Available from: https://www.frontiersin.org/articles/10.3389/frwa.2021.578608/full