Vermont EPSCoR Publications and Products


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2014
Anderson I, Dewoolkar MM, Rizzo DM, Huston DR. Vermont Bridge Scour Rating Analysis: Looking Toward Utilizing Geomorphic Stream Data. In: Abu-Farsakh M, Hoyos LR Geo-Congress 2014Geo-Congress 2014 Technical Papers. Geo-Congress 2014Geo-Congress 2014 Technical Papers. Atlanta, Georgia, Reston, VA: American Society of Civil Engineers; 2014. pp. 2665 - 2674.
2015
Xu Y, Schroth AW, Isles PDF, Rizzo DM, Stockwell JD. Applying spectral analysis to quantify the drivers of cyanobacterial blooms. In: IAGLR's 58th Annual Conference on Great Lakes Research. IAGLR's 58th Annual Conference on Great Lakes Research. Burlington, VT; 2015.
Guilbert J, Betts AK, Rizzo DM, Beckage B, Bomblies A. Characterization of increased persistence and intensity of precipitation in the northeastern United States. Geophysical Research Letters [Internet]. 2015 :n/a - n/a. Available from: http://doi.wiley.com/10.1002/2015GL063124
Xu Y, Schroth AW, Rizzo DM. Developing a 21st Century framework for lake-specific eutrophication assessment using quantile regression. Limnology and Oceanography: Methods [Internet]. 2015 ;13(5):237 - 249. Available from: http://doi.wiley.com/10.1002/lom3.10021
Hanley JP, Jackson E, Morrissey LA, Rizzo DM, Sprague BL, Sarkar IN, Carr FE. Geospatial and Temporal Analysis of Thyroid Cancer Incidence in a Rural Population. Thyroid [Internet]. 2015 ;25(7):812 - 822. Available from: http://online.liebertpub.com/doi/10.1089/thy.2015.0039
Lodh N, Rizzo DM, Kerans BL, McGinnis S, Fytilis N, Steffan-Dewenter I. If you've seen one worm, have you seen them all? Spatial, community, and genetic variability of tubificid communities in Montana. Freshwater Science [Internet]. 2015 ;34(3):909 - 917. Available from: http://www.jstor.org/stable/info/10.1086/682567
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
Xu Y, Schroth AW, Isles PDF, Rizzo DM. Quantile regression improves models of lake eutrophication with implications for ecosystem-specific management. Freshwater Biology [Internet]. 2015 :n/a - n/a. Available from: http://doi.wiley.com/10.1111/fwb.12615
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
Anderson I, Rizzo DM, Huston DR, Dewoolkar MM. System-wide assessment of vulnerability of bridges to scour under extreme flood events. In: 7th Int. Conf. on Structural Health Monitoring of Intelligent Infrastructure. 7th Int. Conf. on Structural Health Monitoring of Intelligent Infrastructure. Torino, Italy; 2015. Available from: http://www.shmii2015.org
Goff P, Hulse A, Harder H, Pierce L, Rizzo DM. Training the Next Generation of Scientists: System Dynamics Modeling of Chagas Disease (American Trypanosomiasis) transmission. In: 2015 AGU (American Geophysical Union) Fall Meeting. 2015 AGU (American Geophysical Union) Fall Meeting. San Francisco, CA: American Geophysical Union (AGU); 2015. Available from: https://agu.confex.com/agu/fm15/webprogram/Paper80220.html
Eppstein MJ, Rizzo DM, Lee BHY, Krupa JS, Manukyan N. USING NATIONAL SURVEY RESPONDENTS AS CONSUMERS IN AN AGENT-BASED MODEL OF PLUG-IN HYBRID VEHICLE ADOPTION. IEEE Access [Internet]. 2015 ;3:457 - 468. Available from: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7096925
Hanning J, Toolin R, Rizzo DM. The Vermont STEM Collaborative: Partnerships Within and Beyond the University. In: Association of Public Land Grant Universities 2015 SMTI National Conference. Association of Public Land Grant Universities 2015 SMTI National Conference. New Orleans, LA; 2015. Available from: http://www.aplu.org/projects-and-initiatives/stem-education/science-and-mathematics-teaching-imperative/smti-conferences-meetings/SMTI%202015%20National%20Conference%20Presentations/Toolin_Rizzo_and_Hanning_APLU_SMTI_Presentation.pdf
2016
Zia A, Bomblies A, Schroth AW, Koliba C, Isles PDF, Tsai Y-S, Mohammed IN, Bucini G, Clemins PJ, Turnbull S, et al. Coupled impacts of climate and land use change across a river-lake continuum: insights from an integrated assessment model of Lake Champlain’s Missisquoi Basin, 2000-2040. Environmental Research Letters [Internet]. 2016 ;11(11):114026. Available from: http://stacks.iop.org/1748-9326/11/i=11/a=114026?key=crossref.46f2304a408b74e1eb473acc5fa39830
Hanley JP, Eppstein MJ, Buzas JS, Rizzo DM. Evolving Probabilistically Significant Epistatic Classification Rules for Heterogeneous Big Data Sets. In: Genetic and Evolutionary Computation Conference (GECCO 2016). Genetic and Evolutionary Computation Conference (GECCO 2016). Denver, CO; 2016. Available from: http://gecco-2016.sigevo.org/index.html/Papers
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
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
Koliba C, Zia A, Schroth AW, Bomblies A, Van Houten J, Rizzo DM. The Lake Champlain Basin as a Complex Adaptive System: Insights from the Research on Adaptation to Climate Change (RACC) Project. Vermont Journal of Environmental Law [Internet]. 2016 ;17(4):533-563. Available from: http://vjel.vermontlaw.edu/files/2016/08/VJEL_VOL_17_ISSUE_4_LAKE_CHAMPLAIN_SMALLER.pdf
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
Grover DK, Savidge C, Townsend L, Rosario O, Hu LB, Rizzo DM, Dewoolkar MM. Surface permeability of natural and engineered porous building materials. Construction and Building Materials [Internet]. 2016 ;112:1088-1100. Available from: http://www.sciencedirect.com/science/article/pii/S0950061816302525
2017
Anderson I, Rizzo DM, Huston DR, Dewoolkar MM. Analysis of bridge and stream conditions of over 300 Vermont bridges damaged in Tropical Storm Irene. Structure and Infrastructure Engineering [Internet]. 2017 :1-14. Available from: http://www.tandfonline.com/doi/abs/10.1080/15732479.2017.1285329?journalCode=nsie20
Reusser LJ, Bierman PR, Rizzo DM, Portenga EW, Rood DH. Characterizing landscape-scale erosion using 10Be in detrital fluvial sediment: Slope-based sampling strategy detects the effect of widespread dams. Water Resources Research [Internet]. 2017 ;53(5):4476 - 4486. Available from: http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016WR019774/full
Hamshaw SD, Dewoolkar MM, Bryce TG, Rizzo DM, O'Neil-Dunne J, Frolik J, Engel T. Comparison of Unmanned Aircraft Systems (UAS) to LIDAR for Streambank Erosion Measurement at the Site-Specific Scale. Vermont Geospatial Forum 2017 [Internet]. 2017 . Available from: http://vcgi.vermont.gov/event/forum_2017/poster_gallery
Hecht JS, Zia A, Beckage B, Winter JM, Schroth AW, Bomblies A, Clemins PJ, Rizzo DM. Effects of changes in climate variability and extremes on the exceedance of critical algal bloom thresholds. 2017 AGU (American Geophysical Union) Fall Meeting [Internet]. 2017 . Available from: https://agu.confex.com/agu/fm17/meetingapp.cgi/Paper/262423
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

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