Vermont EPSCoR Publications and Products


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Vaughan M, Bowden WB, Shanley JB, Vermilyea A, Schroth AW. Land use influences storm hysteresis of dissolved organic matter character and concentration. In: 2018 AGU (American Geophysical Union) Fall Meeting. 2018 AGU (American Geophysical Union) Fall Meeting. Washington, DC: American Geophysical Union (AGU); 2018. Available from: https://agu.confex.com/agu/fm18/meetingapp.cgi/Paper/436362
Vaughan M, Bowden WB, Shanley JB, Vermilyea A, Wemple B, Schroth AW. Using in situ UV‐Visible spectrophotometer sensors to quantify riverine phosphorus partitioning and concentration at a high frequency. Limnology and Oceanography: Methods [Internet]. 2018 ;16(12):840 - 855. Available from: https://aslopubs.onlinelibrary.wiley.com/doi/full/10.1002/lom3.10287
Vaughan M, Bowden WB, Shanley J, Vermilyea A, Schroth AW. Shining light on the storm: in-stream optics reveal hysteresis of dissolved organic matter character. Biogeochemistry [Internet]. 2019 ;143(3):275 - 291. Available from: https://link.springer.com/article/10.1007/s10533-019-00561-w
Vaughan M. Shining Light on the Storm: Using High-Frequency Optical Water Quality Sensors to Characterize and Interpret Storm Nutrient and Carbon Dynamics Among Contrasting Land Uses. Burlington, VT: University of Vermont; 2018.
Vaughan M, Bowden WB, Shanley JB, Vermilyea A, Sleeper R, Gold A, Pradhanang S, Inamdar S, Levia D, Andres S, et al. High-frequency dissolved organic carbon and nitrate measurements reveal differences in storm hysteresis and loading in relation to land cover and seasonality. Water Resources Research [Internet]. 2017 . Available from: http://onlinelibrary.wiley.com/wol1/doi/10.1002/2017WR020491/fullpdf
Vaughan M, Schroth AW, Bowden WB, Jerram A, Shanley JB, Vermilyea A. Observing Nutrient Dynamics in Streams Draining Varied Land Uses Using In Situ Optical Sensors. In: 2014 AGU (American Geophysical Union) Fall Meeting. 2014 AGU (American Geophysical Union) Fall Meeting. San Francisco, CA: American Geophysical Union (AGU); 2014.
Vaughan M, Bowden WB, Vermilyea A, Shanley J, Wemple B, Schroth A. Using in situ UV-visible spectrophotometer sensors to predict phosphorus species concentrations in Lake Champlain tributaries. In: Lake Champlain Research Conference. Lake Champlain Research Conference. Burlington, VT: Lake Champlain Basin Program; 2018. Available from: http://www.lcbp.org/water-environment/data-monitoring/lake-champlain-research-conference/
Vaughan M, Schroth AW, Bowden WB, Shanley JB, Vermilyea A, Sleeper R, Gold A, Pradhanang S, Addy K, Inamdar S, et al. Regional in-situ optical water quality sensor network quantifies influence of land use and seasonality on storm event nitrate and dissolved organic carbon loading. In: 2015 AGU (American Geophysical Union) Fall Meeting. 2015 AGU (American Geophysical Union) Fall Meeting. San Francisco, CA: American Geophysical Union (AGU); 2015.
Vaughan M, Bowden WB, Shanley JB, Vermilyea A, Sleeper R, Gold A, Pradhanang S, Levia D, Andres AS, Birgand F, et al. High-frequency water quality measurements reveal differences in storm hysteresis and loading in relation to land cover and seasonality. In: 2017 Forest Ecosystem Monitoring Cooperative (FEMC) Conference. 2017 Forest Ecosystem Monitoring Cooperative (FEMC) Conference. Burlington, VT: Forest Ecosystem Monitoring Cooperative (FEMC); 2017. Available from: https://www.uvm.edu/femc/cooperative/conference/2017/agenda
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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
Underwood KL, Alves C, Ross DS, Dewoolkar MM, Rizzo DM. 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
Underwood KL, Rizzo DM, Schroth AW, Dewoolkar MM. 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
Underwood KL, Rizzo DM, Perdrial JN, Li L, Wen H, Adler T. Application of machine-learning tools to extract patterns in long-term DOC monitoring data: an integrated, multi-scale approach. In: 2018 AGU (American Geophysical Union) Fall Meeting. 2018 AGU (American Geophysical Union) Fall Meeting. Washington, DC: American Geophysical Union (AGU); 2018. Available from: https://agu.confex.com/agu/fm18/meetingapp.cgi/Paper/411757
Underwood KL, Schiff R, Fitzgerald EP, Stryker J, Diehl RM, Roy ED, Wemple BC, Rizzo DM, Kline M. Functioning Floodplain Initiative for Improved Flood Resiliency, Restored Water Quality and Enhanced Habitat in Vermont USA. 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/Paper677044.html
Underwood KL, Swift E. 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
Underwood KL, Libby S, Pytlik S, Jaquith S, Smith C, McKinley D. A Conservation Partnership to Restore Ecosystem Services along the New Haven River. In: 38th Annual New England Association of Environmental Biologists conference. 38th Annual New England Association of Environmental Biologists conference. Burlington VT; 2014.
Underwood KL. Smart Classification and Bayesian Inference for Evaluating River Sensitivity to Natural and Human Disturbances: A Data Science Approach. Burlington, VT: University of Vermont; 2018.
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
Underwood KL, Rizzo DM, Dewoolkar MM, Kline M. Analysis of reach-scale sediment process domains in glacially-conditioned catchments using self-organizing maps. Geomorphology [Internet]. 2021 ;382:107684. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0169555X21000921
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Tsai MH, Breidenstein MW, Flanagan TF, Seong A, Kadry B, Rizzo DM, Urman RD. Applying Performance Frontiers in Operating Room Management. A & A Practice [Internet]. 2018 ;11(11):321 - 327. Available from: https://journals.lww.com/aacr/Fulltext/2018/12010/Applying_Performance_Frontiers_in_Operating_Room.9.aspx
Tsai Y-S, Mohammed IN, Turnbull S, Zia A, Bomblies A. Impacts of zoning policies on flood and water quality: An integrated assessment modelling application. In: 2015 World Environmental & Water Resources Congress. 2015 World Environmental & Water Resources Congress. Austin, TX; 2015. Available from: http://submissions.mirasmart.com/ASCE/EWRI2015/Itinerary/ConferenceMatrixEventDetail.asp?id=4
Tsai Y-S, Mohammed IN, Turnbull S, Zia A, Bomblies A. Interactions of landowners’ land use decisions with flood and water quality. 2014 AGU (American Geophysical Union) Fall Meeting [Internet]. 2014 . Available from: http://www.uvm.edu/~imohamme/PDF/AGU_2014_ILUTABM.pdf
Tsai Y-S, Zia A, Koliba C, Bucini G, Guilbert J, Beckage B. An interactive land use transition agent-based model (ILUTABM): Endogenizing human-environment interactions in the Western Missisquoi Watershed. Land Use Policy [Internet]. 2015 ;49:161 - 176. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0264837715002173
Tsai Y-S, Mohammed IN, Zia A. Impacts of landowners' land-use decisions on flood and water quality: An integration of land-use agent-based model and RHESSys. In: World Environmental & Water Resources Congress. World Environmental & Water Resources Congress. Portland Oregon; 2014. Available from: http://www.uvm.edu/~imohamme/PDF/C_IAM_2014_06_02_yt.pdf
Tsai Y-S, Zia A, Koliba C, Guilbert J, Bucini G, Beckage B. Impacts of land managers' decisions on landuse transition within Missisquoi Watershed Vermont: An application of agent-based modeling system. In: 2013 7th Annual IEEE Systems Conference (SysCon). 2013 7th Annual IEEE Systems Conference (SysCon). Orlando, FL, USA: IEEE; 2013. pp. 824 - 829.

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