Vermont EPSCoR Publications and Products


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Hecht JS, Lacombe G, Arias ME, Dang TDuc, Piman T. Hydropower dams of the Mekong River basin: A review of their hydrological impacts. Journal of Hydrology [Internet]. 2019 ;568(January 2019):285 - 300. Available from: https://www.sciencedirect.com/science/article/pii/S0022169418308072
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
Hecht JS, Vogel RM, McManamay RA, Kroll CN, J Reed M. Decision trees for incorporating hypothesis tests of hydrologic alteration into hydropower-ecosystem tradeoffs. Journal of Water Resources Planning and Management [Internet]. 2020 ;146(5). Available from: https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0001184
Hecht JS, Vogel RM. Updating urban design floods for changes in central tendency and variability using regression. Advances in Water Resources [Internet]. 2020 ;136:103484. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0309170819302106
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
Hayden NJ, Rizzo DM, Dewoolkar MM, Neumann MD, Lathem S, Sadek A. Incorporating a Systems Approach into Civil and Environmental Engineering Curricula: Effect on Course Redesign, and Student and Faculty Attitudes. Advances in Engineering Education [Internet]. 2011 [cited 0BC];(Summer). Available from: http://advances.asee.org/wp-content/uploads/vol02/issue04/papers/aee-vol02-issue04-p04.pdf
Hayden CP, Purchase-Sanborn K, Dewoolkar MM. Comparison of site-specific and empirical correlations for drained residual shear strength. Géotechnique [Internet]. 2018 ;68(12):1099 - 1108. Available from: https://www.icevirtuallibrary.com/doi/10.1680/jgeot.17.P.200
Hanrahan J, Maynard A, Murphy S, Zercher C, Fitzpatrick A. Examining the Climatology of Shortwave Radiation in the Northeastern United States. Journal of Applied Meteorology and Climatology [Internet]. 2017 . Available from: http://journals.ametsoc.org/doi/10.1175/JAMC-D-16-0420.1
Hanrahan J, Shafer J. Promoting climate change outreach in an undergraduate atmospheric sciences program. 2018 AGU (American Geophysical Union) Fall Meeting [Internet]. 2018 . Available from: https://agu.confex.com/agu/fm18/meetingapp.cgi/Paper/369818
Hanrahan J, Shafer J. Improving Climate Change Literacy and Promoting Outreach in an Undergraduate Atmospheric Sciences Program. Bulletin of the American Meteorological Society [Internet]. 2019 ;100(7):1209 - 1214. Available from: https://journals.ametsoc.org/doi/10.1175/BAMS-D-17-0332.1
Hanrahan J, Langlois J, Cornell L, Huang H, Winter JM, Clemins PJ, Beckage B, Bruyere CL. Examining the Impacts of Great Lakes Temperature Perturbations on Simulated Precipitation in the Northeastern United States. Journal of Applied Meteorology and Climatology [Internet]. 2021 ;60(7):935 - 949. Available from: https://journals.ametsoc.org/view/journals/apme/60/7/JAMC-D-20-0169.1.xml
Hannoun K, Hannoun I, Qi X, Schroth AW, Zia A, Turnbull S, Clemins PJ. Three-Dimensional Modeling of Eutrophication and Cyanobacteria Growth in Two Shallow Bays of Lake Champlain. In: North American Lake Management Society (NALMS 2021). North American Lake Management Society (NALMS 2021). Virtual: North American Lake Management Society (NALMS); 2021. Available from: https://z0ku333mvy924cayk1kta4r1-wpengine.netdna-ssl.com/wp-content/uploads/2021/11/NALMS-2021-Abstracts-20211116.pdf
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
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.
Hanley JP, Jackson E, Morrissey LA, Rizzo DM, Sprague BL, Sarkar IN, Carr FE. Geospatial and Temporal Analysis of Thyroid Cancer Incidence in a Rural Population. Thyroid [Internet]. 2015 ;25(7):812 - 822. Available from: http://online.liebertpub.com/doi/10.1089/thy.2015.0039
Hanley JP, Eppstein MJ, Buzas JS, Rizzo DM. 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
Hanley JP, Rizzo DM. 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).
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
Hamshaw SD, Underwood KL, Rizzo DM, Wemple B, Dewoolkar MM. Prediction of suspended sediment in rivers using artificial neural networks: Implications for development of sediment budgets. In: 2013 AGU (American Geophysical Union) Fall Meeting. 2013 AGU (American Geophysical Union) Fall Meeting. San Francisco, CA: American Geophysical Union (AGU); 2013.
Hamshaw SD. Suspended Sediment Prediction Using Artificial Neural Networks and Local Hydrometeorological Data (M.S. Thesis). Burlington VT: University of Vermont; 2014.
Hamshaw SD, Rizzo DM, Underwood KL, Wemple B, Dewoolkar MM. High Frequency Turbidity Monitoring to Quantify Sediment Loading in the Mad River. 2014 NEAEB Conference. 2014 [cited 0BC].
Hamshaw SD, Rizzo DM, Underwood KL, Wemple B, Dewoolkar MM. Suspended Sediment Prediction. In: 2014 NEAEB. 2014 NEAEB. Burlington VT; 2014.
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, Underwood KL, Rizzo DM, Dewoolkar MM. Sediment Loading and Sources in the Mad River: Implications for sediment-bound nutrient management. IAGLR 2015 [Internet]. 2015 . Available from: http://www.iaglr.org/conference/downloads/2015_program.pdf
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 .

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