Vermont EPSCoR Publications and Products


Search        
Export 1087 results:
Author [ Title(Desc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
M
Bitterman P, Koliba C. Modeling Alternative Collaborative Governance Network Designs: An Agent-Based Model of Water Governance in the Lake Champlain Basin, Vermont. Journal of Public Administration Research and Theory [Internet]. 2020 ;30(4):636 - 655. Available from: https://academic.oup.com/jpart/article/30/4/636/5820199
Andrew K. Modeling Extreme Event Preparedness and Regulator Feedback in the Missisquoi Bay Area of Vermont. In: 2019 UVM Student Research Conference. 2019 UVM Student Research Conference. Burlington, VT: University of Vermont (UVM); 2019. Available from: https://scholarworks.uvm.edu/src/2019/program/63/
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/
Xu Y, Boeing WJ. Modeling maximum lipid productivity of microalgae: Review and next step. Renewable and Sustainable Energy Reviews. 2014 [cited 0BC];32:29 - 39.
Huston DR, Farrell R, Orfeo DJ, Worley R, Pereira M, Xia T, Dewoolkar MM. Modeling of detensioning and transport of prefabricated and prestressed reinforced concrete bridge girders. In: 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-9). 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-9). St. Louis, MO: International Society for Structural Health Monitoring of Intelligent Infrastructure; 2019. Available from: https://shmii-9.mst.edu/wp-content/uploads/sites/3/2019/07/SHMII-9-Conference-Program-PRINTED-VERSION.pdf
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
Andrew K. Modeling the Cooperative and Adversarial Behaviors of Farmer and Regulator Agents in Vermont's Missisquoi Bay Area. In: Second Northeast Regional Conference on Complex Systems (NERCCS 2019). Second Northeast Regional Conference on Complex Systems (NERCCS 2019). Binghamton, NY: Northeast Regional Conference on Complex Systems (NERCCS); 2019. Available from: http://coco.binghamton.edu/nerccs/
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
Parton WJ, Del Grosso SJ, Plante AF, Adair EC. Modeling the Dynamics of Soil Organic Matter and Nutrient Cycling. In: Soil Microbiology, Ecology and Biochemistry. Soil Microbiology, Ecology and Biochemistry. ; 2015. Available from: https://books.google.com/books?id=gDnLAwAAQBAJ&pg=PR13&lpg=PR13&dq=Modeling+the+Dynamics+of+Soil+Organic+Matter+and+Nutrient+Cycling+adair&source=bl&ots=reqLNVpYjg&sig=uweMzzG7XFDGCl1ezbAS4PIY_2U&hl=en&sa=X&ei=wew0VZ7FMIKjsAWk3YDoBQ&ved=0CCMQ6AEwAA#v=onep
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
Hamed AA, Mohammed IN, Bucini G, Tsai Y-S, Isles PDF, Turnbull S, Zia A, Rynge M. Modeling the impacts of climate change on water quality in lake Champlain: Design of an integrated assessment model using Pegasus scientific workflow. In: 2014 Vermont Monitoring Cooperative and Mt. Mansfield science and stewardship conference. 2014 Vermont Monitoring Cooperative and Mt. Mansfield science and stewardship conference. Burlington, VT; 2014. Available from: http://www.uvm.edu/~imohamme/PDF/EPSCoR-VMC-DrHamed-IAM-Pegasus.pdf
Ren Q, Zia A, Rizzo DM, Mathews N. Modeling the Influence of Public Risk Perceptions on the Adoption of Green Stormwater Infrastructure: An Application of Bayesian Belief Networks Versus Logistic Regressions on A Statewide Survey of Households in Vermont. Water [Internet]. 2020 ;12(10):2793. Available from: https://www.mdpi.com/2073-4441/12/10/2793
Bomblies A. Modeling the role of rainfall patterns in seasonal malaria transmission. Climatic Change [Internet]. 2012 [cited 0BC];112(3-4):673 - 685. Available from: http://www.springerlink.com/content/w2t2736285427465/fulltext.pdf
Winter JM, Partridge TF, Wallace D, Chipman JW, Ayres MP, Osterberg EC, Dekker ER. Modeling the Sensitivity of Blacklegged Ticks (Ixodes scapularis) to Temperature and Land Cover in the Northeastern United States. Journal of Medical Entomology [Internet]. 2021 ;58(1):416-427. Available from: https://academic.oup.com/jme/article-abstract/58/1/416/5903250?redirectedFrom=fulltext
Hecht JS, Zia A, Clemins PJ, Schroth AW, Winter JM, Oikonomou PD, Rizzo DM. Modeling the sensitivity of cyanobacteria blooms to plausible changes in precipitation and air temperature variability. Science of The Total Environment [Internet]. 2021 ;812:151586. Available from: https://www.sciencedirect.com/science/article/pii/S004896972106664X
Koh I, Lonsdorf EV, Williams NM, Brittain C, Isaacs R, Gibbs J, Ricketts TH. Modeling the status, trends, and impacts of wild bee abundance in the United States. Proceedings of the National Academy of Sciences [Internet]. 2015 :201517685. Available from: http://www.pnas.org/lookup/doi/10.1073/pnas.1517685113
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
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/
Voigt B, Gustafson C, Erickson JD. Modeling Zoonotic Disease Regulation under Climate Change Scenarios in Semi-Arid Grasslands: a scoping model of water provisioning services in the Ruaha Landscape of Tanzania. Adapting Livestock to Climate Change Collaborative Research Support Program, Research Brief [Internet]. 2012 [cited 0BC];RB-08-2012. Available from: http://lcccrsp.org/wp-content/uploads/2012/05/RB_08_2012.pdf
Xu Y, Rizzo DM, Schroth AW. A modified framework for trophic status assessment of large lake ecosystems using existing water quality datasets: Application to Lake Champlain. In: New England Association of Environmental Biologists (NEAEB) Annual Conference. New England Association of Environmental Biologists (NEAEB) Annual Conference. ; 2014. Available from: http://www.epa.gov/region1/neaeb2014/pdfs/NEAEB2014ConferenceAbstracts.pdf
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
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
Nguyen L, Hamshaw SD, Javed A, Rizzo DM. A Monitoring Tool for Analyzing Sediment Dynamics Using Water Turbidity Sensor Data. 2020 AGU (American Geophysical Union) Fall Meeting [Internet]. 2020 . Available from: https://agu.confex.com/agu/fm20/webprogram/Paper748005.html
Stockwell JD, Riggs C, Cluett S, Kinnaman B. “Monty” the buoy in hyper-eutrophic Shelburne Pond, Vermont, USA: the first yea. GLEON 17 [Internet]. 2015 . Available from: http://gleon.org/sites/default/files/uploaded/PosterAbstract.pdf

Pages