Vermont EPSCoR Publications and Products


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2018
Huang H, Winter JM, Osterberg EC. Mechanisms of Abrupt Extreme Precipitation Change Over the Northeastern United States. Journal of Geophysical Research - Atmospheres [Internet]. 2018 ;123(14). Available from: https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2017JD028136
Orfeo DJ, Burns D, Farrell R, Qin M, Mitchell H, Ou C, Xia T, Huston DR. Mechano-Magnetic Telemetry for Underground Water Infrastructure Monitoring. Frontiers in Built Environment [Internet]. 2018 ;4(29). Available from: https://www.frontiersin.org/articles/10.3389/fbuil.2018.00029/full
Shakun JD, Corbett LB, Bierman PR, Underwood KL, Rizzo DM, Zimmerman SR, Caffee MW, Naish T, Golledge NR, Hay CC. 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
Hecht JS, Kirshen PH. Minimizing Urban Floodplain Management Regrets under Deeply Uncertain Climate Change. Journal of Water Resources Planning and Management [Internet]. 2018 ;145(2):04018096. Available from: https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0001012?src=recsys
Manley T, Perzan Z, Herdman L, Chen T. Missisquoi Bay circulation dynamics and 3D hydrodynamic modeling of the restricted arm of Lake Champlain; a question of water quality and causeways. Lake Champlain Research Conference [Internet]. 2018 . Available from: http://www.lcbp.org/water-environment/data-monitoring/lake-champlain-research-conference/
Gibson W. Modeling the impact of extreme events on the water quality in Lake Champlain. 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/
Stryker J, Wemple B, Bomblies A. Modeling the impacts of changing climatic extremes on streamflow and sediment yield in a northeastern US watershed. Journal of Hydrology: Regional Studies [Internet]. 2018 ;17:83 - 94. Available from: https://www.sciencedirect.com/science/article/pii/S2214581817301064
Bitterman P. Modeling water quality governance networks on the Missisquoi River Watershed. 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/
Hamshaw SD, Dewoolkar MM, O'Neil-Dunne J, Engel T, Rizzo DM, Frolik J, Bryce TG. Monitoring Fluvial Geomorphic Change Using Unmanned Aircraft System (UAS) Photogrammetry and Laser Scanning. 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/309724
Rubin J, Huber H, Ghalehgolabbehbahani A, Van Hook S, Dorr A, Gorres J. Mycoremediation strategies for watershed health. Society for Ecological Restoration (SER) New England Conference 2018 [Internet]. 2018 . Available from: https://6zvjw1i9d632in9ii1izgap9-wpengine.netdna-ssl.com/newengland/files/2018/10/Abstracts_wBios_SER_10.07.18-2.pdf
2017
Rodgers M, Clemins PJ, McCabe DJ, Koirala B, Fox G, Lakea L. Macroinvertebrate Field Guide. [Internet]. 2017 . Available from: https://play.google.com/store/apps/details?id=edu.uvm.epscor.macroinvertebrates&hl=en
Huang H, Winter JM, Osterberg EC. Mechanisms of the Extreme Precipitation Jump in the Northeastern United States after 1996. 2017 AGU (American Geophysical Union) Fall Meeting [Internet]. 2017 . Available from: https://agu.confex.com/agu/fm17/meetingapp.cgi/Paper/282195
Schattman RE, V Mendez E, Merrill S, Zia A. Mixed methods approach to understanding farmer and agricultural advisor perceptions of climate change and adaptation in Vermont, United States. Agroecology and Sustainable Food Systems [Internet]. 2017 ;42(2):121 - 148. Available from: http://www.tandfonline.com/doi/abs/10.1080/21683565.2017.1357667
Stryker J, Wemple B, Bomblies A. Modeling sediment mobilization using a distributed hydrology model coupled with a bank stability model. Water Resources Research [Internet]. 2017 . Available from: http://onlinelibrary.wiley.com/doi/10.1002/2016WR019143/full
Isles PDF, Rizzo DM, Xu Y, Schroth AW. Modeling the drivers of interannual variability in cyanobacterial bloom severity using self-organizing maps and high-frequency data. Inland Waters [Internet]. 2017 . Available from: http://www.tandfonline.com/doi/full/10.1080/20442041.2017.1318640
Zia A, Widener M, Metcalf S, Koliba C, . Modeling Voting Decisions in Governance Networks for Agents with Heterogeneous Mental Models and Alternate Network Structures. In: 2017 International Conference of The Computational Social Science Society of the Americas (CSS 2017). 2017 International Conference of The Computational Social Science Society of the Americas (CSS 2017). Santa Fe, NM: Computational Social Science Society of the Americas (CSS); 2017. Available from: https://dl.acm.org/citation.cfm?doid=3145574.3145592
Cording A, Hurley S, Whitney D. Monitoring Methods and Designs for Evaluating Bioretention Performance. Journal of Environmental Engineering [Internet]. 2017 ;143(12):05017006. Available from: http://ascelibrary.org/doi/10.1061/%28ASCE%29EE.1943-7870.0001276
Oka GK, Pinder GF. Multiscale Model for Assessing Effect of Bacterial Growth on Intrinsic Permeability of Soil: Model Description. Transport in Porous Media [Internet]. 2017 ;119(2):267 - 284. Available from: https://link.springer.com/article/10.1007/s11242-017-0870-8
Oka GK, Pinder GF. Multiscale Model for Assessing the Effect of Bacterial Growth on Intrinsic Permeability of Soil: Column Experiment Simulation. Transport in Porous Media [Internet]. 2017 ;119(2):285 - 309. Available from: https://link.springer.com/article/10.1007/s11242-017-0869-1
2016
Zia A. Machine learning how human risk perceptions shape behavior: Comparing a diversity of learning approaches to predict how climate risk perceptions lead to green behaviors for the US Population. In: 4th Annual BayesiaLab Conference. 4th Annual BayesiaLab Conference. Nashville, TN; 2016. Available from: http://www.bayesia.com/2016-conference-zia
McCabe DJ, Roberge J, Wieland L, Clemins PJ, Exler S, Pontius EHayes, Gamache L, Benedetto E, Gould J, Mai M, et al. MacroInvertebrates 2.0. [Internet]. 2016 . Available from: https://itunes.apple.com/us/app/macroinvertebrates/id895060595?mt=8
Sprenger JH, Glaser JR, Roussel N. Methods and systems for tracking movement of microscopic worms and worm-like organisms, and software therefor. [Internet]. 2016 . Available from: http://patents.com/us-9305205.html
Koliba C, Zia A, Scheinert S. Modeling Governance and Policy Drivers of Water Quality in Light of Climate Change: the Place of Public Administration Theory within a Transdisciplinary Research Project. In: 20th International Research Society on Public Management Conference 2016. 20th International Research Society on Public Management Conference 2016. Hong Kong: International Research Society on Public Management (IRSPM); 2016. Available from: http://programme.exordo.com/irspm2016/delegates/presentation/411/
Isles PDF. A Multiscale Analysis of the Factors Controlling Nutrient Dynamics and Cyanobacteria Blooms in Lake Champlain. Burlington, VT: University of Vermont; 2016.

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