Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Climate Solutions (16)
- Health and Well-Being (3)
- Climate change (2)
- Sustainable Agriculture (2)
- Autocorrelation (1)
-
- Bayesian analysis (1)
- Bayesian belief network (1)
- Building materials (1)
- Classification (1)
- Climatic change (1)
- Clustering (1)
- Cosmogenic (1)
- Cross scale dynamics (1)
- Dams (1)
- Data assimilation (1)
- Decision making (1)
- Distributed energy resources (1)
- Electricity rate design (1)
- Energy (1)
- Energy costs (1)
- Energy systems modeling (1)
- Environmental behavior adoption (1)
- Environmental psychology (1)
- Erosion (1)
- Experimental design (1)
- Export regime (1)
- Geostatistics (1)
- Green stormwater infrastructure (1)
- Grid stability (1)
Articles 1 - 22 of 22
Full-Text Articles in Mental and Social Health
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, Qing Ren, Asim Zia, Donna M. Rizzo, Nancy Mathews
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, Qing Ren, Asim Zia, Donna M. Rizzo, Nancy Mathews
College of Engineering and Mathematical Sciences Faculty Publications
There is growing environmental psychology and behavior literature with mixed empirical evidence about the influence of public risk perceptions on the adoption of environmentally friendly “green behaviors”. Adoption of stormwater green infrastructure on residential properties, while costlier in the short term compared to conventional greywater infrastructure, plays an important role in the reduction of nutrient loading from non-point sources into freshwater rivers and lakes. In this study, we use Bayesian Belief Networks (BBNs) to analyze a 2015 survey dataset (sample size = 472 respondents) about the adoption of green infrastructure (GSI) in Vermont’s residential areas, most of which are located …
Temperature Controls Production But Hydrology Regulates Export Of Dissolved Organic Carbon At The Catchment Scale, Hang Wen, Julia Perdrial, Benjamin W. Abbott, Susana Bernal, Remi Dupas, Sarah E. Godsey, Adrian Harpold, Donna Rizzo, Kristen Underwood, Thomas Adler, Gary Sterle, Li Li
Temperature Controls Production But Hydrology Regulates Export Of Dissolved Organic Carbon At The Catchment Scale, Hang Wen, Julia Perdrial, Benjamin W. Abbott, Susana Bernal, Remi Dupas, Sarah E. Godsey, Adrian Harpold, Donna Rizzo, Kristen Underwood, Thomas Adler, Gary Sterle, Li Li
College of Engineering and Mathematical Sciences Faculty Publications
Lateral carbon flux through river networks is an important and poorly understood component of the global carbon budget. This work investigates how temperature and hydrology control the production and export of dissolved organic carbon (DOC) in the Susquehanna Shale Hills Critical Zone Observatory in Pennsylvania, USA. Using field measurements of daily stream discharge, evapotranspiration, and stream DOC concentration, we calibrated the catchment-scale biogeochemical reactive transport model BioRT-Flux-PIHM (Biogeochemical Reactive Transport-Flux-Penn State Integrated Hydrologic Model, BFP), which met the satisfactory standard of a Nash-Sutcliffe efficiency (NSE) value greater than 0.5. We used the calibrated model to estimate and compare the daily …
Noncooperative Dynamics In Election Interference, David Rushing Dewhurst, Christopher M. Danforth, Peter Sheridan Dodds
Noncooperative Dynamics In Election Interference, David Rushing Dewhurst, Christopher M. Danforth, Peter Sheridan Dodds
College of Engineering and Mathematical Sciences Faculty Publications
Foreign power interference in domestic elections is an existential threat to societies. Manifested through myriad methods from war to words, such interference is a timely example of strategic interaction between economic and political agents. We model this interaction between rational game players as a continuous-time differential game, constructing an analytical model of this competition with a variety of payoff structures. All-or-nothing attitudes by only one player regarding the outcome of the game lead to an arms race in which both countries spend increasing amounts on interference and counterinterference operations. We then confront our model with data pertaining to the Russian …
Fragmentation And Inefficiencies In Us Equity Markets: Evidence From The Dow 30, Brian F. Tivnan, David Rushing Dewhurst, Colin M. Van Oort, John H. Ring, Tyler J. Gray, Brendan F. Tivnan, Matthew T.K. Koehler, Matthew T. Mcmahon, David M. Slater, Jason G. Veneman, Christopher M. Danforth
Fragmentation And Inefficiencies In Us Equity Markets: Evidence From The Dow 30, Brian F. Tivnan, David Rushing Dewhurst, Colin M. Van Oort, John H. Ring, Tyler J. Gray, Brendan F. Tivnan, Matthew T.K. Koehler, Matthew T. Mcmahon, David M. Slater, Jason G. Veneman, Christopher M. Danforth
College of Engineering and Mathematical Sciences Faculty Publications
Using the most comprehensive source of commercially available data on the US National Market System, we analyze all quotes and trades associated with Dow 30 stocks in calendar year 2016 from the vantage point of a single and fixed frame of reference. We find that inefficiencies created in part by the fragmentation of the equity marketplace are relatively common and persist for longer than what physical constraints may suggest. Information feeds reported different prices for the same equity more than 120 million times, with almost 64 million dislocation segments featuring meaningfully longer duration and higher magnitude. During this period, roughly …
Electricity Rates For The Zero Marginal Cost Grid, Helen Lo, Seth Blumsack, Paul Hines, Sean Meyn
Electricity Rates For The Zero Marginal Cost Grid, Helen Lo, Seth Blumsack, Paul Hines, Sean Meyn
College of Engineering and Mathematical Sciences Faculty Publications
The electricity industry is rapidly changing: costs are increasingly dominated by capital and technology is turning loads into resources. This is similar to the early days of the Internet. Building on rate-structures used in the communications industry, utilities of the future should offer customers a portfolio of service contract options that provide a signal to the utility regarding the type and amount of infrastructure that should be deployed.
Application Of Unmanned Aircraft System (Uas) For Monitoring Bank Erosion Along River Corridors, Scott D. Hamshaw, Tayler Engel, Donna M. Rizzo, Jarlath O’Neil-Dunne, Mandar M. Dewoolkar
Application Of Unmanned Aircraft System (Uas) For Monitoring Bank Erosion Along River Corridors, Scott D. Hamshaw, Tayler Engel, Donna M. Rizzo, Jarlath O’Neil-Dunne, Mandar M. Dewoolkar
College of Engineering and Mathematical Sciences Faculty Publications
Excessive streambank erosion is a significant source of fine sediments and associated nutrients in many river systems as well as poses risk to infrastructure. Geomorphic change detection using high-resolution topographic data is a useful method for monitoring the extent of bank erosion along river corridors. Recent advances in an unmanned aircraft system (UAS) and structure from motion (SfM) photogrammetry techniques allow acquisition of high-resolution topographic data, which are the methods used in this study. To evaluate the effectiveness of UAS-based photogrammetry for monitoring bank erosion, a fixed-wing UAS was deployed to survey 20 km of river corridors in central Vermont, …
From The Household To Watershed: A Cross-Scale Analysis Of Residential Intention To Adopt Green Stormwater Infrastructure, Sarah Coleman, Stephanie Hurley, Donna Rizzo, Christopher Koliba, Asim Zia
From The Household To Watershed: A Cross-Scale Analysis Of Residential Intention To Adopt Green Stormwater Infrastructure, Sarah Coleman, Stephanie Hurley, Donna Rizzo, Christopher Koliba, Asim Zia
College of Engineering and Mathematical Sciences Faculty Publications
Improved stormwater management for the protection of water resources requires bottom-up stewardship from landowners, including adoption of Green Stormwater Infrastructure (GSI). We use a statewide survey of Vermont paired with a cross-scale and spatial analysis to evaluate the influence of interacting spatial, social, and physical factors on residential intention to adopt GSI across a complex social-ecological landscape. Specifically, we focus on how three GSI practices, (“rain garden (bio retention),” “infiltration trenches,” and “actively divert roof runoff to a rain barrel/lawn/garden instead of the street/sewer”) vary with barriers to adoption, and household attributes across stormwater contexts from the household to watershed …
Erratum: Reducing Cascading Failure Risk By Increasing Infrastructure Network Interdependence, Mert Korkali, Jason G. Veneman, Brian F. Tivnan, James P. Bagrow, Paul D.H. Hines
Erratum: Reducing Cascading Failure Risk By Increasing Infrastructure Network Interdependence, Mert Korkali, Jason G. Veneman, Brian F. Tivnan, James P. Bagrow, Paul D.H. Hines
College of Engineering and Mathematical Sciences Faculty Publications
This corrects the article DOI: 10.1038/srep44499.
Energy And Complexity, Zofia Lukszo, Ettore Bompard, Paul Hines, Liz Varga
Energy And Complexity, Zofia Lukszo, Ettore Bompard, Paul Hines, Liz Varga
College of Engineering and Mathematical Sciences Faculty Publications
No abstract provided.
Evaluating Spatial Variability In Sediment And Phosphorus Concentration-Discharge Relationships Using Bayesian Inference And Self-Organizing Maps, Kristen L. Underwood, Donna M. Rizzo, Andrew W. Schroth, Mandar M. Dewoolkar
Evaluating Spatial Variability In Sediment And Phosphorus Concentration-Discharge Relationships Using Bayesian Inference And Self-Organizing Maps, Kristen L. Underwood, Donna M. Rizzo, Andrew W. Schroth, Mandar M. Dewoolkar
College of Engineering and Mathematical Sciences Faculty Publications
Given the variable biogeochemical, physical, and hydrological processes driving fluvial sediment and nutrient export, the water science and management communities need data-driven methods to identify regions prone to production and transport under variable hydrometeorological conditions. We use Bayesian analysis to segment concentration-discharge linear regression models for total suspended solids (TSS) and particulate and dissolved phosphorus (PP, DP) using 22 years of monitoring data from 18 Lake Champlain watersheds. Bayesian inference was leveraged to estimate segmented regression model parameters and identify threshold position. The identified threshold positions demonstrated a considerable range below and above the median discharge—which has been used previously …
Evaluation Of A Proposal For Reliable Low-Cost Grid Power With 100% Wind, Water, And Solar, Christopher T.M. Clack, Staffan A. Qvist, Jay Apt, Morgan Bazilian, Adam R. Brandt, Ken Caldeira, Steven J. Davis, Victor Diakov, Mark A. Handschy, Paul D.H. Hines, Paulina Jaramillo, Daniel M. Kammen, Jane C.S. Long, M. Granger Morgan, Adam Reed, Varun Sivaram, James Sweeney, George R. Tynan, David G. Victor, John P. Weyant, Jay F. Whitacre
Evaluation Of A Proposal For Reliable Low-Cost Grid Power With 100% Wind, Water, And Solar, Christopher T.M. Clack, Staffan A. Qvist, Jay Apt, Morgan Bazilian, Adam R. Brandt, Ken Caldeira, Steven J. Davis, Victor Diakov, Mark A. Handschy, Paul D.H. Hines, Paulina Jaramillo, Daniel M. Kammen, Jane C.S. Long, M. Granger Morgan, Adam Reed, Varun Sivaram, James Sweeney, George R. Tynan, David G. Victor, John P. Weyant, Jay F. Whitacre
College of Engineering and Mathematical Sciences Faculty Publications
A number of analyses, meta-Analyses, and assessments, including those performed by the Intergovernmental Panel on Climate Change, the National Oceanic and Atmospheric Administration, the National Renewable Energy Laboratory, and the International Energy Agency, have concluded that deployment of a diverse portfolio of clean energy technologies makes a transition to a low-carbon-emission energy system both more feasible and less costly than other pathways. In contrast, Jacobson et al. [Jacobson MZ, Delucchi MA, Cameron MA, Frew BA (2015) Proc Natl Acad Sci USA 112(49):15060-15065] argue that it is feasible to provide "low-cost solutions to the grid reliability problem with 100% penetration of …
Characterizing Landscape-Scale Erosion Using 10be In Detrital Fluvial Sediment: Slope-Based Sampling Strategy Detects The Effect Of Widespread Dams, Lucas J. Reusser, Paul R. Bierman, Donna M. Rizzo, Eric W. Portenga, Dylan H. Rood
Characterizing Landscape-Scale Erosion Using 10be In Detrital Fluvial Sediment: Slope-Based Sampling Strategy Detects The Effect Of Widespread Dams, Lucas J. Reusser, Paul R. Bierman, Donna M. Rizzo, Eric W. Portenga, Dylan H. Rood
College of Engineering and Mathematical Sciences Faculty Publications
Concentrations of in situ 10Be measured in detrital fluvial sediment are frequently used to estimate long-term erosion rates of drainage basins. In many regions, basin-averaged erosion rates are positively correlated with basin average slope. The slope dependence of erosion allows model-based erosion rate estimation for unsampled basins and basins where human disturbance may have biased cosmogenic nuclide concentrations in sediment. Using samples collected from southeastern North America, we demonstrate an approach that explicitly considers the relationship between average basin slope and erosion rate. Because dams and reservoirs are ubiquitous on larger channels in the field area, we selected 36 undammed …
Reducing Cascading Failure Risk By Increasing Infrastructure Network Interdependence, Mert Korkali, Jason G. Veneman, Brian F. Tivnan, James P. Bagrow, Paul D.H. Hines
Reducing Cascading Failure Risk By Increasing Infrastructure Network Interdependence, Mert Korkali, Jason G. Veneman, Brian F. Tivnan, James P. Bagrow, Paul D.H. Hines
College of Engineering and Mathematical Sciences Faculty Publications
Increased interconnection between critical infrastructure networks, such as electric power and communications systems, has important implications for infrastructure reliability and security. Others have shown that increased coupling between networks that are vulnerable to internetwork cascading failures can increase vulnerability. However, the mechanisms of cascading in these models differ from those in real systems and such models disregard new functions enabled by coupling, such as intelligent control during a cascade. This paper compares the robustness of simple topological network models to models that more accurately reflect the dynamics of cascading in a particular case of coupled infrastructures. First, we compare a …
Transitions In Climate And Energy Discourse Between Hurricanes Katrina And Sandy, Emily M. Cody, Jennie C. Stephens, James P. Bagrow, Peter Sheridan Dodds, Christopher M. Danforth
Transitions In Climate And Energy Discourse Between Hurricanes Katrina And Sandy, Emily M. Cody, Jennie C. Stephens, James P. Bagrow, Peter Sheridan Dodds, Christopher M. Danforth
College of Engineering and Mathematical Sciences Faculty Publications
Although climate change and energy are intricately linked, their explicit connection is not always prominent in public discourse and the media. Disruptive extreme weather events, including hurricanes, focus public attention in new and different ways offering a unique window of opportunity to analyze how a focusing event influences public discourse. Media coverage of extreme weather events simultaneously shapes and reflects public discourse on climate issues. Here, we analyze climate and energy newspaper coverage of Hurricanes Katrina (2005) and Sandy (2012) using topic models, mathematical techniques used to discover abstract topics within a set of documents. Our results demonstrate that post-Katrina …
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, Asim Zia, Arne Bomblies, Andrew W. Schroth, Christopher Koliba, Peter D.F. Isles, Yushiou Tsai, Ibrahim N. Mohammed, Gabriela Bucini, Patrick J. Clemins, Scott Turnbull, Morgan Rodgers, Ahmed Hamed, Brian Beckage, Jonathan Winter
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, Asim Zia, Arne Bomblies, Andrew W. Schroth, Christopher Koliba, Peter D.F. Isles, Yushiou Tsai, Ibrahim N. Mohammed, Gabriela Bucini, Patrick J. Clemins, Scott Turnbull, Morgan Rodgers, Ahmed Hamed, Brian Beckage, Jonathan Winter
College of Engineering and Mathematical Sciences Faculty Publications
Global climate change (GCC) is projected to bring higher-intensity precipitation and higher-variability temperature regimes to the Northeastern United States. The interactive effects of GCC with anthropogenic land use and land cover changes (LULCCs) are unknown for watershed level hydrological dynamics and nutrient fluxes to freshwater lakes. Increased nutrient fluxes can promote harmful algal blooms, also exacerbated by warmer water temperatures due to GCC. To address the complex interactions of climate, land and humans, we developed a cascading integrated assessment model to test the impacts of GCC and LULCC on the hydrological regime, water temperature, water quality, bloom duration and severity …
Surface Permeability Of Natural And Engineered Porous Building Materials, David Grover, Cabot R. Savidge, Laura Townsend, Odanis Rosario, Liang Bo Hu, Donna M. Rizzo, Mandar M. Dewoolkar
Surface Permeability Of Natural And Engineered Porous Building Materials, David Grover, Cabot R. Savidge, Laura Townsend, Odanis Rosario, Liang Bo Hu, Donna M. Rizzo, Mandar M. Dewoolkar
College of Engineering and Mathematical Sciences Faculty Publications
Characterization of surface gas permeability measurements on a variety of natural and engineered building materials using two relatively new, non-destructive surface permeameters is presented. Surface gas permeability measurements were consistent for both laboratory and field applications and correlated well with bulk gas permeability measurements. This research indicates that surface permeability measurements could provide reliable estimates of bulk gas permeability; and due to the non-destructive nature and relative sampling ease of both surface gas permeability tools, it is possible to quantify the range of the spatial autocorrelation, heterogeneity, and anisotropy in porous building materials and their degree of degradation from weathering.
Robustness Of Spatial Micronetworks, Thomas C. Mcandrew, Christopher M. Danforth, James P. Bagrow
Robustness Of Spatial Micronetworks, Thomas C. Mcandrew, Christopher M. Danforth, James P. Bagrow
College of Engineering and Mathematical Sciences Faculty Publications
Power lines, roadways, pipelines, and other physical infrastructure are critical to modern society. These structures may be viewed as spatial networks where geographic distances play a role in the functionality and construction cost of links. Traditionally, studies of network robustness have primarily considered the connectedness of large, random networks. Yet for spatial infrastructure, physical distances must also play a role in network robustness. Understanding the robustness of small spatial networks is particularly important with the increasing interest in microgrids, i.e., small-area distributed power grids that are well suited to using renewable energy resources. We study the random failures of links …
Coupling Self-Organizing Maps With A Naïve Bayesian Classifier: Stream Classification Studies Using Multiple Assessment Data, Nikolaos Fytilis, Donna M. Rizzo
Coupling Self-Organizing Maps With A Naïve Bayesian Classifier: Stream Classification Studies Using Multiple Assessment Data, Nikolaos Fytilis, Donna M. Rizzo
College of Engineering and Mathematical Sciences Faculty Publications
Organizing or clustering data into natural groups is one of the most fundamental aspects of understanding and mining information. The recent explosion in sensor networks and data storage associated with hydrological monitoring has created a huge potential for automating data analysis and classification of large, high-dimensional data sets. In this work, we develop a new classification tool that couples a Naïve Bayesian classifier with a neural network clustering algorithm (i.e., Kohonen Self-Organizing Map (SOM)). The combined Bayesian-SOM algorithm reduces classification error by leveraging the Bayesian's ability to accommodate parameter uncertainty with the SOM's ability to reduce high-dimensional data to lower …
Risk Factors Associated With Clinical Malaria Episodes In Bangladesh: A Longitudinal Study, Ubydul Haque, Gregory E. Glass, Arne Bomblies, Masahiro Hashizume, Dipak Mitra, Nawajish Noman, Waziul Haque, M. Moktadir Kabir, Taro Yamamoto, Hans J. Overgaard
Risk Factors Associated With Clinical Malaria Episodes In Bangladesh: A Longitudinal Study, Ubydul Haque, Gregory E. Glass, Arne Bomblies, Masahiro Hashizume, Dipak Mitra, Nawajish Noman, Waziul Haque, M. Moktadir Kabir, Taro Yamamoto, Hans J. Overgaard
College of Engineering and Mathematical Sciences Faculty Publications
Malaria is endemic to Bangladesh. In this longitudinal study, we used hydrologic, topographic, and socioeconomic risk factors to explain single and multiple malaria infections at individual and household levels. Malaria incidence was determined for 1,634 households in 54 villages in 2009 and 2010. During the entire study period 21.8% of households accounted for all (n = 497) malaria cases detected; 15.4% of households had 1 case and 6.4% had ≥2 cases. The greatest risk factors for malaria infection were low bed net ratio per household, house construction materials (wall), and high density of houses. Hydrologic and topographic factors were not …
Subsurface Characterization Of Groundwater Contaminated By Landfill Leachate Using Microbial Community Profile Data And A Nonparametric Decision-Making Process, Andrea R. Pearce, Donna M. Rizzo, Paula J. Mouser
Subsurface Characterization Of Groundwater Contaminated By Landfill Leachate Using Microbial Community Profile Data And A Nonparametric Decision-Making Process, Andrea R. Pearce, Donna M. Rizzo, Paula J. Mouser
College of Engineering and Mathematical Sciences Faculty Publications
Microbial biodiversity in groundwater and soil presents a unique opportunity for improving characterization and monitoring at sites with multiple contaminants, yet few computational methods use or incorporate these data because of their high dimensionality and variability. We present a systematic, nonparametric decision-making methodology to help characterize a water quality gradient in leachate-contaminated groundwater using only microbiological data for input. The data-driven methodology is based on clustering a set of molecular genetic-based microbial community profiles. Microbes were sampled from groundwater monitoring wells located within and around an aquifer contaminated with landfill leachate. We modified a self-organizing map (SOM) to weight the …
Incorporating Systems Thinking And Sustainability Within Civil And Environmental Engineering Curricula At Uvm, Nancy J. Hayden, Donna M. Rizzo, Mandar M. Dewoolkar, Lalita Oka, Maureen Neumann
Incorporating Systems Thinking And Sustainability Within Civil And Environmental Engineering Curricula At Uvm, Nancy J. Hayden, Donna M. Rizzo, Mandar M. Dewoolkar, Lalita Oka, Maureen Neumann
College of Engineering and Mathematical Sciences Faculty Publications
As part of an NSF Department Level Reform (DLR) grant, the civil and environmental engineering programs at the University of Vermont (UVM) incorporated systems thinking and a systems approach to engineering problem solving within their programs. A systems thinking approach regards social, environmental and economic factors as necessary components of the problem solution. Because it is a whole systems approach it also encompasses sustainability. We have integrated systems thinking in the following ways; 1) new material has been included into key courses (e.g. the first-year introductory and senior design courses), 2) a sequence of three related environmental and transportation systems …
Enhanced Detection Of Groundwater Contamination From A Leaking Waste Disposal Site By Microbial Community Profiles, Paula J. Mouser, Donna M. Rizzo, Gregory K. Druschel, Sergio E. Morales, Nancy Hayden, Patrick O'Grady, Lori Stevens
Enhanced Detection Of Groundwater Contamination From A Leaking Waste Disposal Site By Microbial Community Profiles, Paula J. Mouser, Donna M. Rizzo, Gregory K. Druschel, Sergio E. Morales, Nancy Hayden, Patrick O'Grady, Lori Stevens
College of Engineering and Mathematical Sciences Faculty Publications
Groundwater biogeochemistry is adversely impacted when municipal solid waste leachate, rich in nutrients and anthropogenic compounds, percolates into the subsurface from leaking landfills. Detecting leachate contamination using statistical techniques is challenging because well strategies or analytical techniques may be insufficient for detecting low levels of groundwater contamination. We sampled profiles of the microbial community from monitoring wells surrounding a leaking landfill using terminal restriction fragment length polymorphism (T-RFLP) targeting the 16S rRNA gene. Results show in situ monitoring of bacteria, archaea, and the family Geobacteraceae improves characterization of groundwater quality. Bacterial T-RFLP profiles showed shifts correlated to known gradients of …