Mercury (Hg) is a naturally occurring element that bonds with organic matter and, when converted to methylmercury, is a potent neurotoxicant. Here we estimate potential future releases of Hg from thawing permafrost for low and high greenhouse gas emissions scenarios using a mechanistic model. By 2200, the high emissions scenario shows annual permafrost Hg emissions to the atmosphere comparable to current global anthropogenic emissions. By 2100, simulated Hg concentrations in the Yukon River increase by 14% for the low emissions scenario, but double for the high emissions scenario. Fish Hg concentrations do not exceed United States Environmental Protection Agency guidelines for the low emissions scenario by 2300, but for the high emissions scenario, fish in the Yukon River exceed EPA guidelines by 2050. Our results indicate minimal impacts to Hg concentrations in water and fish for the low emissions scenario and high impacts for the high emissions scenario.
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http://dx.doi.org/10.1038/s41467-020-18398-5 | DOI Listing |
Alzheimers Dement
December 2024
University of Michigan Medical School, Ann Arbor, MI, USA.
Background: Older adults diagnosed with Mild Cognitive Impairment (MCI) and dementia are at increased risk of driving impairment. As the prevalence of dementia, particularly Alzheimer's dementia, increases, researching the link between driving behaviors and cognitive decline may aid early identification of at-risk cognitively normal older adults. This study assesses differences in driving behavior following a left hand turn between amyloid positive and negative cognitively normal older adults.
View Article and Find Full Text PDFHeliyon
November 2024
Department of Energy System Engineering, Faculty of Mechanical Engineering, K.N. Toosi University of Technology, No. 15, Pardis St., Molasadra Ave., Vanak Sq., Tehran, Iran.
One of the foremost challenges facing Bitcoin, as the most valuable cryptocurrency operating on a proof-of-work mechanism, is its substantial energy consumption and environmental impact. With the expansion of the Bitcoin market, mining has surged in popularity, particularly in countries where energy and monetary costs are comparatively low. This study aims to assess the impact of utilizing renewable energy from a photovoltaic system for Bitcoin mining, simulating a solar power plant with a 50.
View Article and Find Full Text PDFSci Rep
January 2025
Civil and Environmental Engineering Department, King Fahd University of Petroleum and Minerals, 31261, Dhahran, Saudi Arabia.
Pollution monitoring in surface water using field observational procedure is a challenging matter as it is time consuming, and needs a lot of efforts. This study addresses the challenge of efficiently monitoring and predicting water pollution using a GIS-based artificial neural network (ANN) to detect heavy metal (HM) pollution in surface water and effect of wastewater required discharge on the Euphrates River in Al-Diwaniyah City, Iraq. The study established using 40 water sampling stations and incorporates Inductively Coupled Plasma Atomic Emission Spectrometry (ICP-OES) to assess HM levels.
View Article and Find Full Text PDFNat Food
January 2025
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA.
Long-term labour market evolution shapes agricultural transformation through labour productivity growth and labour market transitions. Despite its importance in agricultural production, labour has been overlooked when exploring the agrifood-water-environment-climate nexus. Here we incorporate evolving labour markets into multisector dynamic modelling to examine their agroeconomic and environmental implications.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Civil Engineering, Isfahan University of Technology, Isfahan, Iran.
Floods are among the most severe natural hazards, causing substantial damage and affecting millions of lives. These events are inherently multi-dimensional, requiring analysis across multiple factors. Traditional research often uses a bivariate framework relying on historical data, but climate change is expected to influence flood frequency analysis and flood system design in the future.
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