Vermont EPSCoR Publications and Products
] . 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
. 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
. Vermont Bridge Scour Rating Analysis: Looking Toward Utilizing Geomorphic Stream Data. In: 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.
. 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
. 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
. 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
. 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 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
. 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
. 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
. 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
. 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
Uncovering vector, parasite, blood meal and microbiome patterns from mixed-DNA specimens of the Chagas disease vector Triatoma dimidiata . PLOS Neglected Tropical Diseases [Internet]. 2018 . Available from: https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0006730#ack
. 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
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.
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
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
. 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
. 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
. 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
. 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 .
. Suspended Sediment Prediction. In: 2014 NEAEB. 2014 NEAEB. Burlington VT; 2014.
. 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