Article
Mechanics
Branislav Djordjevic, Sreten Mastilovic, Aleksandar Sedmak, Aleksandar Dimic, Milan Kljajin
Summary: The phenomenon of ductile-to-brittle transition in ferritic steels has been a research challenge for the last 50 years. Fracture mechanics concepts have been used to characterize this problem and statistical methods have been applied to deal with the scatter of experimental data. This paper provides a historical overview of the studies in this field and presents two new approaches.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Meteorology & Atmospheric Sciences
Yuan Qiu, Zhongwei Yan, Jinming Feng, Lijuan Hua, Lijun Fan, Zhen Li, Jun Wang, Cheng Qian
Summary: Central Asia is one of the largest arid and semiarid regions, and drought has significant impacts on human communities and ecosystems. The analysis of data shows a stable historical and future drying trend in Central Asia, especially during the growing season. This has important implications for climate change adaptation in the region.
ATMOSPHERIC RESEARCH
(2023)
Article
Clinical Neurology
Steven Paul Woods, Andrea Mustafa, Ilex Beltran-Najera, Anastasia Matchanova, Jennifer L. Thompson, Natalie C. Ridgely
Summary: This study examines the frequency and extent of effect size reporting in neuropsychology journal articles. The findings show increases in effect size reporting in the Methods and Results sections, but no significant changes in the Abstract, Introduction, and Discussion sections. Authors in neuropsychology journals have improved effect size reporting in the core sections, but still need to consider these metrics in motivating study hypotheses and interpreting their findings.
JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY
(2023)
Editorial Material
History & Philosophy Of Science
George S. Heriot, Euzebiusz Jamrozik
Summary: Although each emerging infectious disease is unique, looking at the behavior of previous pandemics can provide insight into the medium- and long-term outcomes of the current threat. By considering historical analogues, epidemiologists and policymakers can better forecast and respond to the current situation.
HISTORY AND PHILOSOPHY OF THE LIFE SCIENCES
(2021)
Article
Health Care Sciences & Services
Alex Bottle, Puji Faitna, Paul P. Aylin
Summary: During England's first wave of COVID-19, there was modest variation in mortality rates between hospitals after risk adjustment and accounting for random variation, in contrast to early media reports. Early-period mortality did not predict late-period mortality.
BMJ QUALITY & SAFETY
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Hussain Kazmi, Fahad Mehmood
Summary: Ensuring access to affordable, reliable, sustainable, and modern energy is a key goal of the UN General Assembly's Sustainable Development Goals. However, limited data availability on both the demand and supply sides in most low- and medium-income countries complicates the planning of a supply system. This paper analyzes the electricity demand in Karachi, Pakistan, considering factors such as climate change, socioeconomic factors, and distributed generation through renewable energy to provide insights into its future evolution.
2023 IEEE PES CONFERENCE ON INNOVATIVE SMART GRID TECHNOLOGIES, ISGT MIDDLE EAST
(2023)
Article
Multidisciplinary Sciences
Andrew C. W. Leung, William A. Gough, Tanzina Mohsin
Summary: This study assesses the impact of climate change on soil temperatures in northern Canada. Historical soil temperature records are statistically analyzed to establish a climatological baseline, and a statistical downscaling model is used to determine the relationship between atmospheric variables and soil temperature. The study finds that soil temperatures may increase by 0.9 to 1.2 degrees C per decade at various depths, posing a threat to airport infrastructure and requiring adaptation measures.
Article
Environmental Sciences
Rajesh R. Shrestha, Barrie R. Bonsal, Ashish Kayastha, Yonas B. Dibike, Christopher Spence
Summary: This study indicates that the Assiniboine-Red River basin will experience seasonal warming and changes in precipitation distribution in response to global mean temperature changes, leading to wetter winters and springs and drier summers and autumns. Additionally, the snow water equivalent responses are mainly temperature-controlled rather than precipitation-driven.
JOURNAL OF GREAT LAKES RESEARCH
(2021)
Article
Environmental Sciences
Rajesh R. Shrestha, Barrie R. Bonsal, James M. Bonnyman, Alex J. Cannon, Mohammad Reza Najafi
Summary: The study predicts that under global warming, there will be a decline in snow water equivalent in large river basins of northwestern North America, with more severe declines in southern regions and the possibility of small increases or decreases in northern regions. The findings suggest that temperature and precipitation play a significant role in these changes, and that southern basins with high water demands are likely to experience the most extreme occurrences of snow drought.
Article
Environmental Sciences
Rajesh R. Shrestha, Jennifer Pesklevits, Daqing Yang, Daniel L. Peters, Yonas B. Dibike
Summary: This study analyzed the historical trends in streamflow components of the permafrost region in Canada, finding spatially varied trends and significant impacts of temperature and precipitation on streamflow. The study revealed that temperature has a dominant control over minimum flow, while precipitation plays a significant role in mean and maximum flow.
Article
Meteorology & Atmospheric Sciences
Jefferson S. Wong, Xuebin Zhang, Shervan Gharari, Rajesh R. Shrestha, Howard S. Wheater, James S. Famiglietti
Summary: In Canada, using combinations of remote sensing and data assimilation products can provide more accurate estimates of water balance, with the combination of CaPA, GLEAM, and JPL mascon GRACE products performing well. Precipitation and evapotranspiration are the main factors leading to nonclosure errors in different regions.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Environmental Sciences
Kyle Siemens, Yonas Dibike, Rajesh R. Shrestha, Terry Prowse
Summary: The study used the degree-day Snowmelt Runoff Model (SRM) combined with MODIS to remotely sense various factors for predicting future runoff changes. The SRM simulations showed consistent patterns in historical flows and future projections, demonstrating good performance in simulating runoff.
Article
Geography, Physical
Daqing Yang, Rajesh R. Shrestha, Joanna Li Yung Lung, Suzanne Tank, Hotaek Park
Summary: This study examined seasonal variations of discharge, water temperature, and heat flux of 15 Canadian northern rivers, identifying similar patterns such as peak discharge in June/July and highest water temperatures in July/August. The study also found differences in river flows along the Arctic Coast from west to east, with higher flows in the west and warmer water temperatures in western and southern Hudson Bay. The results provide critical knowledge for climate and ocean model development and climate change investigations in northern regions.
GLOBAL AND PLANETARY CHANGE
(2021)
Article
Environmental Sciences
Yonas Dibike, Ameer Muhammad, Rajesh R. Shrestha, Christopher Spence, Barrie Bonsal, Laurent de Rham, Jaden Rowley, Grey Evenson, Tricia Stadnyk
Summary: The study aimed to investigate the impact of improved hydrological modeling in prairie pothole regions on future streamflow projection. The results showed that the modified model incorporating Dynamic Contributing Areas (DCA) not only enhanced simulation performance, reduced model uncertainty, but also exhibited greater responsiveness to climatic changes, providing more accurate future streamflow predictions.
JOURNAL OF GREAT LAKES RESEARCH
(2021)
Editorial Material
Environmental Sciences
Barrie R. Bonsal, Yonas B. Dibike, Daniel L. Peters, Rajesh R. Shrestha
Article
Geosciences, Multidisciplinary
Alex J. Cannon, Hunter Alford, Rajesh R. Shrestha, Megan C. Kirchmeier-Young, Mohammad Reza Najafi
Summary: The CanLEADv1 dataset includes 50-member ensembles of bias-adjusted meteorological data covering historical and future scenarios, suitable for hydrological and land surface impact modeling, as well as event attribution studies.
GEOSCIENCE DATA JOURNAL
(2022)
Article
Water Resources
Daniel L. Peters, Dillon Watt, Kevin Devito, Wendy A. Monk, Rajesh R. Shrestha, Donald J. Baird
Summary: This study focuses on water management in the lower Athabasca Basin in Canada. By analyzing the changes in runoff in different geographical regions, a new approach is proposed to understand the diverse variations in flow generation, taking into account factors such as landscape and geology.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Meteorology & Atmospheric Sciences
Rajesh R. Shrestha, Yonas B. Dibike, Barrie R. Bonsal
Summary: Anthropogenic climate change-induced snowpack loss is affecting the predictability of streamflow. This study evaluates the future changes in seasonal streamflow predictability in relation to snowpack change using a machine learning emulator. The results show contrasting patterns of change, with the predictive skills generally declining for mean flow and varying for maximum flow across different basins. The study concludes that snowpack loss alone is not sufficient to explain the reduction in streamflow predictability.
JOURNAL OF HYDROMETEOROLOGY
(2022)
Editorial Material
Environmental Sciences
Rajesh R. Shrestha, Mohammad Reza Najafi
Article
Environmental Sciences
Phil Fong, Craig McCrimmon, Reza Valipour, Rajesh R. Shrestha, Yongbo Liu, Yerubandi R. Rao
Summary: This study evaluates streamflow and phosphorus fluxes variability for the Lake of the Woods watershed using the CanSWAT model. The results show that Rainy River is the primary source of total phosphorus, contributing about 88% of the external non-point source and point source P loads to the lake. A lake mass-balance model suggests that 32-46% of TP load is retained within the lake.
JOURNAL OF GREAT LAKES RESEARCH
(2023)
Article
Environmental Sciences
Rajesh R. Shrestha, Jennifer C. Pesklevits
Summary: Increasing river water temperature due to climate warming is a concern for water quality and ecosystem health. This study evaluates the spatio-temporal variability of river water temperature changes in western Canada, using historical data and modeling. The results provide insights into the hydro-climatic controls, trends, and sensitivities of river water temperature, and have implications for understanding river ecosystem health.
RIVER RESEARCH AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Rajesh R. Shrestha, Jennifer C. Pesklevits
Summary: Continuous water temperature data are crucial for understanding the historical variability and trends of river thermal regime and the impacts of warming climate on aquatic ecosystem health. This study presents a reconstructed daily water temperature dataset for 55 river stations in western Canada, supplementing sparse historical observations. The dataset, reconstructed using the air2stream model, shows reasonable statistical performance after calibration and validation. The historical trends derived from the dataset reveal significantly increasing water temperature trends during the ice-free summer months.