Vermont EPSCoR Publications and Products


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Hamshaw SD, Rizzo DM, Javed A, Nguyen L. Watershed data science at the event scale: Revealing insights in watershed function through analysis of concentration-discharge relationships. 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/Paper766889.html
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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
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.
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Crossett C, Dupigny-Giroux L-A, Bomblies A, Rizzo DM, Betts AK. Utilizing a Self-Organizing Map to Identify Synoptic Patterns in Heavy Precipitation Events in the Northeastern United States. In: AMS100 (American Meteorological Society 100th Annual Meeting). AMS100 (American Meteorological Society 100th Annual Meeting). Boston, MA: American Meteorological Society; 2020. Available from: https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/368138
Fytilis N, Rizzo DM, Lamb RD, Kerans B, Stevens L. Using real-time PCR and Bayesian analysis to distinguish susceptible tubificid taxa important in the transmission of Myxobolus cerebralis, the cause of salmonid whirling disease. International Journal for Parasitology [Internet]. 2013 [cited 0BC];43(6):493 - 501. Available from: http://www.sciencedirect.com/science/article/pii/S0020751913000647
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
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 .
Brand MW, Dewoolkar MM, Rizzo DM. Use of sacrificial embankments to minimize bridge damage from scour during extreme flow events. Natural Hazards [Internet]. 2017 ;87(3):1469 -1487. Available from: http://link.springer.com/10.1007/s11069-017-2829-z
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, Dewoolkar MM, Schroth A, Wemple B, Rizzo DM. Unraveling Sediment Dynamics Within Watersheds From Patterns in Suspended Sediment-Discharge Rrelationships. In: 2018 GSA (Geological Society of America) Northeastern Section 53rd Annual Meeting. 2018 GSA (Geological Society of America) Northeastern Section 53rd Annual Meeting. Burlington, VT: Geological Society of America (GSA); 2018. Available from: https://gsa.confex.com/gsa/2018NE/meetingapp.cgi/Paper/310311
Pearce AR, Rizzo DM, Watzin MC, Druschel GK. Unraveling Associations between Cyanobacteria Blooms and In-Lake Environmental Conditions in Missisquoi Bay, Lake Champlain, USA, Using a Modified Self-Organizing Map. Environmental Science & Technology [Internet]. 2013 [cited 0BC];47(24):14267 - 14274. Available from: http://pubs.acs.org/doi/pdf/10.1021/es403490g
Hamshaw SD, Underwood KL, Rizzo DM, O'Neil-Dunne J, Dewoolkar MM. Unmanned Aircraft System (UAS) Photogrammetry for Tracking Streambank Erosion and Geomorphic Change along a Protected River Corridor. In: Eighth International Conference on Case Histories in Geotechnical Engineering. Eighth International Conference on Case Histories in Geotechnical Engineering. Philadelphia, PA: Geo-Institute of ASCE (American Society of Civil Engineers); 2019. Available from: https://ascelibrary.org/doi/10.1061/9780784482070.015
Orantes LC, Monroy C, Dorn PL, Stevens L, Rizzo DM, Morrissey LA, Hanley JP, Rodas AG, Richards B, Wallin KF, et al. Uncovering vector, parasite, blood meal and microbiome patterns from mixed-DNA specimens of the Chagas disease vector Triatoma dimidiata Dutra WO. PLOS Neglected Tropical Diseases [Internet]. 2018 . Available from: https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0006730#ack
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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
Hanley JP, Stevens-Goodnight S, Kulkarni S, Bustamante DM, Fytilis N, Goff P, Monroy MC, Morrissey LA, Orantes L, Stevens L, et al. Training Systems Modelers through the Development of a Multi-scale Chagas Disease Risk Model. In: EOS Transactions, American Geophysical Union, Fall Meeting. EOS Transactions, American Geophysical Union, Fall Meeting. San Francisco, CA; 2012.
de la Rúa NM, Bustamante DM, Menes M, Stevens L, Monroy C, Kilpatrick CW, Rizzo DM, Klotz SA, Schmidt J, Axen HJ, et al. Towards a phylogenetic approach to the composition of species complexes in the North and Central American Triatoma, vectors of Chagas disease. Infection, Genetics and Evolution [Internet]. 2014 ;24:157 - 166. Available from: http://linkinghub.elsevier.com/retrieve/pii/S1567134814001014
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
Anderson I, Dewoolkar MM, Rizzo DM, Frolik J, Huston DR. Targeted deployment of scour monitoring sensors for at-risk bridges. In: Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems. Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems. San Diego, CA; 2014. Available from: http://spie.org/Documents/ConferencesExhibitions/SS14-Abstracts.pdf
Hanley JP, Rizzo DM, Buzas JS, Eppstein MJ. A Tandem Evolutionary Algorithm for Identifying Causal Rules from Complex Data. Evolutionary Computation [Internet]. 2019 :1 - 32. Available from: https://www.mitpressjournals.org/doi/abs/10.1162/evco_a_00252
Demarest B, Gramling CJ, Macha N, Rizzo DM, Gramling R, Cheney N, Alexander SC. Talking about the Presence and Absence of Supportive Relationships in Palliative Care Conversations: A Machine Learning Approach to Scalable Measurement Patient Education & Counseling. Under Review .
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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
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
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 .
Hamshaw SD, Rizzo DM, Underwood KL, Wemple B, Dewoolkar MM. Suspended Sediment Prediction. In: 2014 NEAEB. 2014 NEAEB. Burlington VT; 2014.
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

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