Article
Green & Sustainable Science & Technology
Muhammad Umar, Xiangfeng Ji, Dervis Kirikkaleli, Andrew Adewale Alola
Summary: This study investigates the relationship between CO2 emissions in the transportation sector of the USA and biomass energy consumption, fossil fuel energy consumption, and economic growth, finding that biomass energy consumption and real GDP have a negative impact on CO2 emissions, while increasing fossil fuel energy consumption leads to higher CO2 emissions from the transportation sector.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Agronomy
Md. Abu Ayub Siddique, Seung-Min Baek, Seung-Yun Baek, Yong-Joo Kim, Ryu-Gap Lim
Summary: The study aims to develop and verify a simulation model for the partial PST tractor based on actual field operations. The simulation model was tested and evaluated for asphalt driving, plow, and rotary tillage. Different engine modes were analyzed to study fuel consumption. The results showed that users could achieve higher fuel economy with the 95-kW partial PST tractor in the APS ECO engine mode compared to traditional and APS power modes.
Article
Engineering, Industrial
Craig K. Allison, Neville A. Stanton, James M. Fleming, Xingda Yan, Roberto Lot
Summary: Despite the known benefits of eco-driving, its psychological impact has been less studied. Engaging in eco-driving can reduce fuel consumption but has negative effects on journey time and mood. However, it has positive effects on self-esteem, suggesting potential longer term psychological benefits.
APPLIED ERGONOMICS
(2022)
Review
Green & Sustainable Science & Technology
Sakineh Tavakkoli, Jordan Macknick, Garvin A. Heath, Sarah M. Jordaan
Summary: The study conducts a systematic review of publicly available energy infrastructure datasets in the United States, revealing significant variations in the number, spatiotemporal characteristics, and completeness of different types of infrastructure datasets. The connections between fuel supply, energy transportation infrastructure, and final energy products are not well characterized, posing challenges for constructing a complete, dynamic energy systems model. Data suppliers and government policies may address these challenges through improved data reporting and inter-agency collaboration.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Energy & Fuels
Warren S. Vaz
Summary: This study comprehensively examines the effects of the COVID-19 pandemic on energy consumption in the United States, quantifying the impacts of lockdowns and disruptions on energy consumption trends in 2020. The findings indicate a 7.5% decrease in total energy consumption, with reductions in petroleum and biomass-related energy consumption, while other sources increased. The impacts of the pandemic varied across states and sectors. These statistics can contribute to the ongoing research on the global impact of the pandemic and future preparedness.
Article
Medicine, General & Internal
Aashish Gupta, Sergey M. Kachur, Jose D. Tafur, Harsh K. Patel, Divina O. Timme, Farnoosh Shariati, Kristen D. Rogers, Daniel P. Morin, Carl J. Lavie
Summary: This study evaluated the clinical characteristics of COVID-19 patients admitted to hospitals in the Southern United States and developed a mortality risk prediction model. The 11-factor risk model showed good performance in predicting mortality risk, with an area under the curve of 0.783. Validation in a subsequent cohort of hospitalized patients confirmed the reliability and accuracy of the model in predicting mortality risk.
MAYO CLINIC PROCEEDINGS
(2021)
Article
Energy & Fuels
Ding Rui, Jin Hui
Summary: With the increase in energy shortage, researchers have paid attention to energy saving in automobiles. However, the lack of an accurate practical fuel consumption model makes it difficult to estimate transient fuel consumption and evaluate the effectiveness of real-time fuel consumption control strategies. Therefore, this study aims to establish a more accurate and practical model based on the transient motion characteristics of vehicles. By integrating a steady-state base module and a transient correction module, the overall structure of the model ensures its accuracy and practicality.
Article
Engineering, Marine
Bingjie Guo, Qin Liang, Hans Anton Tvete, Hendrik Brinks, Erik Vanem
Summary: This paper presents a model for estimating ship fuel consumption and emission based on ship hydrodynamical models and machine learning techniques. The model can accurately estimate ship fuel consumption and evaluate the effectiveness of new measures to reduce greenhouse gas emissions.
Article
Chemistry, Physical
Ozgun Balci, Yasin Karagoz, Sefa Kale, Seckin Damar, Azade Attar, Hasan Koten, Ahmet Selim Dalkilic, Somchai Wongwises
Summary: Researchers are interested in investigating vehicles with alternative power sources due to current environmental concerns on nitrogen oxides and particulate matter emissions caused by diesel engines. SI engine models were adopted in the study, with different engine models for different vehicle types and detailed analysis on emissions and fuel consumption.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Fisheries
Christina Hoerterer, Jessica Petereit, Gesche Krause
Summary: Young and female respondents consume seafood less frequently and perceive aquaculture sustainability lower, while respondents with higher education level consume seafood more frequently and have a more positive attitude towards aquaculture.
Article
Multidisciplinary Sciences
Swapna Thorve, Young Yun Baek, Samarth Swarup, Henning Mortveit, Achla Marathe, Anil Vullikanti, Madhav Marathe
Summary: Efficient energy consumption plays a crucial role in achieving sustainable energy goals. However, detailed energy-use data has been scarce, hindering detailed studies. To address this, we release a large-scale digital-twin dataset of residential energy-use in the United States. The dataset includes hourly energy use profiles for synthetic households, disaggregated into Thermostatically Controlled Loads (TCL) and appliance use. Extensive validation has been conducted, and the dataset provides a valuable resource for understanding residential energy consumption.
Article
Environmental Sciences
Brice B. Hanberry, Edward K. Faison
Summary: Large herbivores, such as white-tailed deer, are natural disturbances that have both positive and negative impacts on ecosystems and economies. They play a crucial role in controlling tree and shrub densities, reducing fuel, and restoring herbaceous plants and historic open forests. However, their feeding behavior also causes damage to forests.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Forestry
Meredith Hovis, Gregory Frey, Kathleen McGinley, Frederick Cubbage, Xue Han, Megan Lupek
Summary: Community forests (CFs) have been established across the globe to meet various needs. This study explores CFs in the U.S. and their benefits, such as cultural and regulating services. The research sheds lights on CF characteristics and identifies potential opportunities for the future.
Article
Thermodynamics
Huaquan Zhang, Fan Yang, Abbas Ali Chandio, Jing Liu, Martinson Ankrah Twumasi, Ilhan Ozturk
Summary: This study examines the relationship between cooking energy usage and Internet technology use in rural Chinese households using Probit model and micro-survey data from the China Family Panel Studies (CFPS) in 2014, 2016 and 2018. The research findings demonstrate that Internet technology use significantly and positively affects households' choice of clean cooking energy, and off-farm employment plays a mediating role in this relationship. The study also explores regional and age differences in Internet technology use and its impact on cooking energy consumption.
Article
Economics
Penghu Zhu, Boqiang Lin
Summary: Investigating the energy consumption behavior of the elderly is important for improving welfare and energy conservation. Retirement increases household electricity consumption, especially for residents with high income, education, and health. Increased home time after retirement serves as an important influencing factor. Furthermore, electricity expenditure increases with residential electricity consumption. The increase in national retirement leads to an increase in electricity consumption and calls for addressing future energy demand shocks and reforming the increasing block pricing system for the elderly to prevent a decline in their welfare.
Article
Ecology
Maureen C. Kennedy
ECOLOGICAL MODELLING
(2019)
Article
Ecology
Susan J. Prichard, Nicholas A. Povak, Maureen C. Kennedy, David W. Peterson
ECOLOGICAL APPLICATIONS
(2020)
Article
Ecology
Ryan R. Bart, Maureen C. Kennedy, Christina L. Tague, Donald McKenzie
ECOLOGICAL MODELLING
(2020)
Article
Forestry
Maureen C. Kennedy, Morris C. Johnson, Sarah C. Harrison
Summary: This study evaluates the sensitivity of computer models in predicting forest fuels dynamics and wildfire behavior, finding that predictions are particularly sensitive to parameters related to surface fuels and snag dynamics. Forest managers can use these findings to focus on specific settings when utilizing these models, potentially leading to improvements in model accuracy.
Article
Environmental Sciences
Dan H. Shugar, Aaron Burr, Umesh K. Haritashya, Jeffrey S. Kargel, C. Scott Watson, Maureen C. Kennedy, Alexandre R. Bevington, Richard A. Betts, Stephan Harrison, Katherine Strattman
NATURE CLIMATE CHANGE
(2020)
Article
Environmental Sciences
Erin J. Hanan, Jianning Ren, Christina L. Tague, Crystal A. Kolden, John T. Abatzoglou, Ryan R. Bart, Maureen C. Kennedy, Mingliang Liu, Jennifer C. Adam
Summary: Extreme wildfires are increasing globally, prompting new efforts to mitigate risk. The ecological appropriateness of risk mitigation strategies depends on the factors driving these increases. Recent advances in fire regime modeling can help understand which drivers dominate at management-relevant scales.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Ecology
Maureen C. Kennedy, Ryan R. Bart, Christina L. Tague, Janet S. Choate
Summary: Climate and wildfire are closely linked, with climate regulating wildfire through both direct and indirect effects on fuel aridity and vegetation productivity. Prediction of future wildfire regimes must consider the non-stationarity of landscape-scale wildfire dynamics and the different temporal and spatial scales at which feedback loops operate. Short-term direct effects of climate on wildfire may differ from long-term indirect effects, leading to complex relationships between climate and wildfire at different scales.
Review
Meteorology & Atmospheric Sciences
Erin J. Hanan, Maureen C. Kennedy, Jianning Ren, Morris C. Johnson, Alistair M. S. Smith
Summary: Climate change has impacted wildfire seasons and fire regimes worldwide. It is crucial to capture fuel and fire dynamics accurately for projecting future Earth system processes. Fine fuel decomposition is identified as a key uncertainty in model systems, leading to uncertainties in fuel loading estimates.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Environmental Sciences
Jianning Ren, Erin J. Hanan, John T. Abatzoglou, Crystal A. Kolden, Christina (Naomi) L. Tague, Maureen C. Kennedy, Mingliang Liu, Jennifer C. Adam
Summary: This study investigates the influence of exogenous and endogenous drivers on fire regimes in a semiarid watershed. The results show that the increase in fuel loading surpasses the decrease in fuel caused by climate change due to the CO2 fertilization effect, resulting in an increase in burned area and burn probability. However, by the late-21st century, climatic warming dominates over CO2 fertilization, leading to a reduction in fuel loading and burned area.
Article
Forestry
Morris C. Johnson, Maureen C. Kennedy, Sarah C. Harrison, Ernesto Alvarado, Cody Desautel, Joseph Holford, Shay Logue
Summary: This study investigates the effects of salvage logging on post-wildfire stand structure and fuel loadings. The results show that salvage logging reduces snag basal area but increases fine woody fuel loading. Simulation results indicate rapid snag fall, with a predicted snag basal area loss of 61% within 10 years. Long-term monitoring is recommended for better data to inform post-wildfire management decisions.
CANADIAN JOURNAL OF FOREST RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
Jianning Ren, Erin J. Hanan, Jeffrey A. Hicke, Crystal A. Kolden, John T. Abatzoglou, Christina (Naomi) L. Tague, Ryan R. Bart, Maureen C. Kennedy, Mingliang Liu, Jennifer C. Adam
Summary: Although natural disturbances play a key role in structuring ecosystems and watersheds worldwide, climate change has intensified many disturbance regimes, which can have negative effects on ecosystem processes and services. This study used a modelling framework to investigate the effects of beetle outbreaks on wildfire dynamics in a semiarid watershed. The results showed that wildfire extent and severity varied across different phases of beetle outbreaks and were influenced by fire regime and fuel availability. This framework can aid in predicting fire hazards and improving our understanding of wildfire responses.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2023)
Article
Ecology
Michele S. Buonanduci, Daniel C. Donato, Joshua S. Halofsky, Maureen C. Kennedy, Brian J. Harvey
Summary: Increasing wildfire activity has created a need to understand current and future fire regimes. Quantifying the relationship between fire size and burn severity patterns can help predict future patterns. A study using fires in the Northwest United States found that as fire size increases, high-severity patches consistently increase in size and homogeneity. These scaling relationships can be used to infer future patterns of burn severity, regardless of spatial or temporal differences.
Article
Environmental Sciences
Jonathan L. Batchelor, Eric Rowell, Susan Prichard, Deborah Nemens, James Cronan, Maureen C. Kennedy, L. Monika Moskal
Summary: Lidar can be used to estimate the moisture content of dead forest litter by scanning with lasers. The study found a strong correlation between lidar intensity and standard deviation of intensity per sample tray, and the moisture content of the dead leaf litter. Lidar has the potential to detect and quantify fuel moisture levels in real-time and create spatial maps of wildland fuel moisture content.
Article
Forestry
Morris C. Johnson, Maureen C. Kennedy
INTERNATIONAL JOURNAL OF WILDLAND FIRE
(2019)
Article
Forestry
Maureen C. Kennedy, Susan J. Prichard, Donald McKenzie, Nancy H. F. French
INTERNATIONAL JOURNAL OF WILDLAND FIRE
(2020)