Vermont EPSCoR Publications and Products
Submitted Publications and Products
Application of unmanned aircraft systems for streambank erosion monitoring along river corridors. Geomatics, Natural Hazards and Risk. Submitted Publications and Products ..
A Framework for Estimating Nutrient and Sediment Loads that Leverages the Temporal Variability Embedded in Water Monitoring Data. Journal of Great Lakes Research. Under Review ..
From the Household to Watershed: A cross-scale analysis of residential intention to adopt Green Stormwater Infrastructure. Landscape and Urban Planning. Under Review ..
A new machine-learning approach for classifying hysteresis in suspended-sediment discharge relationships using high-frequency monitoring data. Water Resources Research. Under Review ..
Predicting suspended sediment loads in a river using hydrometeorological variables and counterpropagation neural networks. Hydrological Processes. Under Review ..
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.
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.
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.
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.
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.
Identifying the spatial pattern and importance of hydro-geomorphic drainage impairments on unpaved roads in the northeastern USA. Earth Surface Processes and Landforms [Internet]. 2017 . Available from: http://doi.wiley.com/10.1002/esp.4113.
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.
A Novel Evolutionary Algorithm for Mining Noisy Survey Datasets with an Application Toward Combating Chagas Disease. Journal on Policy and Complex Systems. 2017 ;3(2)..
Quantifying streambank erosion using unmanned aerial systems at the site-specific and river network scales. In: Geo-Congress 2017 (Geotechnical Frontiers). Geo-Congress 2017 (Geotechnical Frontiers). Orlando, FL; 2017..
Quantifying streambank movement and topography using unmanned aircraft system photogrammetry with comparison to terrestrial laser scanning. River Research and Applications [Internet]. 2017 ;33(8):1354 - 1367. Available from: http://doi.wiley.com/10.1002/rra.3183http://onlinelibrary.wiley.com/wol1/doi/10.1002/rra.3183/fullpdfhttp://api.wiley.com/onlinelibrary/chorus/v1/articles/10.1002%2Frra.3183https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Frra.3183.
Stream power application for bridge damage probability mapping based on empirical evidence from Tropical Storm Irene. ASCE Journal of Bridge Engineering [Internet]. 2017 . Available from: http://ascelibrary.org/doi/10.1061/%28ASCE%29BE.1943-5592.0001022.
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.
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
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.
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.
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.
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://www-assets.vermontlaw.edu/Assets/news/VJEL_VOL_17_ISSUE_4_LAKE_CHAMPLAIN.pdf.
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.
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.
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..