Vermont EPSCoR Publications and Products
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Author [ Title] Type Year Filters: First Letter Of Last Name is U [Clear All Filters]
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
. Influence of geomorphic setting on distribution of nutrient stocks in lake Champlain basin floodplains. In: Northeastern GSA. Northeastern GSA. Albany, NY: Geological Society of America; 2016. Available from: https://gsa.confex.com/gsa/2016NE/webprogram/Paper272354.html
. Integration of Geomorphic, Flow and Water Quality Data to Prioritize NPS Management Strategies in Vermont Watersheds: A Tactical Basin Planning Approach. In: Annual Nonpoint Source Pollution Conference. Annual Nonpoint Source Pollution Conference. Burlington, VT; 2013. Available from: http://www.neiwpcc.org/npsconference/npsPresentations13.asp
. Interactions between human and natural systems along rural road networks: The case of the Lake Champlain basin. In: 2018 CERM (Catskill Environmental Research & Monitoring) Conference. 2018 CERM (Catskill Environmental Research & Monitoring) Conference. Highmount, NY: Ashokan Watershed Stream Management Program; 2018. Available from: http://ashokanstreams.org/wp-content/uploads/2016/09/5-Wemple_CERM2018.pdf
. Landslide and Alluvial Fan Activity Due to Tropical Storm Irene: Examples from Money Brook, Black River Watershed, Vermont. In: GSA Northeastern Section 50th Annual Meeting. GSA Northeastern Section 50th Annual Meeting. Bretton Woods, NH; 2015. Available from: https://gsa.confex.com/gsa/2015NE/webprogram/Paper253151.html
. 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
. Mesoscale Analysis Of Blood Flow. In: Image-based Computational Modeling of the Human Circulatory and Pulmonary Systems. Image-based Computational Modeling of the Human Circulatory and Pulmonary Systems. New York Dordrecht Heidelberg London: Srpinger ; 2011. Available from: http://books.google.com/books?hl=en&lr=&id=QwTSbXL5fA8C&oi=fnd&pg=PA235&dq=Mesoscale+Analysis+Of+Blood+Flow&ots=AXLUfOIcCp&sig=SZnMB46reS1rAZf7vD0hXW1WYHc#v=onepage&q=Mesoscale%20Analysis%20Of%20Blood%20Flow&f=false
. 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
. 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
. Predicting Post-Restoration Risk of Soil Legacy Phosphorus Release in Historically Drained and Farmed Riparian Wetlands. In: 2020 AGU (American Geophysical Union) Fall Meeting. 2020 AGU (American Geophysical Union) Fall Meeting. Virtual: American Geophysical Union (AGU); 2020. Available from: https://agu.confex.com/agu/fm20/webprogram/Paper680719.html
Prediction of suspended sediment in rivers using artificial neural networks: Implications for development of sediment budgets. In: 2013 AGU (American Geophysical Union) Fall Meeting. 2013 AGU (American Geophysical Union) Fall Meeting. San Francisco, CA: American Geophysical Union (AGU); 2013.
. 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
. Protecting Important Sites for Biodiversity Contributes to Meeting Global Conservation Targets . PLoS ONE [Internet]. 2012 ;7(3):e32529. Available from: http://dx.plos.org/10.1371/journal.pone.0032529
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
. 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 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
. 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
. 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
. Smart Classification and Bayesian Inference for Evaluating River Sensitivity to Natural and Human Disturbances: A Data Science Approach. Burlington, VT: University of Vermont; 2018.
. Spatial effects of sensor information in inducing cooperative behaviors for managing non-point source pollution: Evidence from a decision game in an idealized watershed. Ecological Economics. Under Review .
Storm impacts on phytoplankton community dynamics in lakes. Global Change Biology [Internet]. 2020 . Available from: https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.15033
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
Suspended Sediment Prediction. In: 2014 NEAEB. 2014 NEAEB. Burlington VT; 2014.
. Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data. 2014 NEAEB Conference. 2014 .
. 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
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