In the framework of the Forum for Air Quality Modelling in Europe (FAIRMODE), a modelling intercomparison exercise for computing NO long-term average concentrations in urban districts with a very high spatial resolution was carried out. This exercise was undertaken for a district of Antwerp (Belgium). Air quality data includes data recorded in air quality monitoring stations and 73 passive samplers deployed during one-month period in 2016. The modelling domain was 800 × 800 m. Nine modelling teams participated in this exercise providing results from fifteen different modelling applications based on different kinds of model approaches (CFD - Computational Fluid Dynamics-, Lagrangian, Gaussian, and Artificial Intelligence). Some approaches consisted of models running the complete one-month period on an hourly basis, but most others used a scenario approach, which relies on simulations of scenarios representative of wind conditions combined with post-processing to retrieve a one-month average of NO concentrations. The objective of this study is to evaluate what type of modelling system is better suited to get a good estimate of long-term averages in complex urban districts. This is very important for air quality assessment under the European ambient air quality directives. The time evolution of NO hourly concentrations during a day of relative high pollution was rather well estimated by all models. Relative to high resolution spatial distribution of one-month NO averaged concentrations, Gaussian models were not able to give detailed information, unless they include building data and street-canyon parameterizations. The models that account for complex urban geometries (i.e. CFD, Lagrangian, and AI models) appear to provide better estimates of the spatial distribution of one-month NO averages concentrations in the urban canopy. Approaches based on steady CFD-RANS (Reynolds Averaged Navier Stokes) model simulations of meteorological scenarios seem to provide good results with similar quality to those obtained with an unsteady one-month period CFD-RANS simulations.
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http://dx.doi.org/10.1016/j.scitotenv.2024.171761 | DOI Listing |
Alzheimers Dement
December 2024
University College London, London, United Kingdom.
Background: Our authors from around the world met to summarise the available knowledge, decide which potentially modifiable risk factors for dementia have compelling evidence and create the most comprehensive analysis to date for potentially modifiable risk factors to inform policy, give individuals the opportunity to control their risks and generate research.
Method: We incorporated all risk factors for which we judged there was strong enough evidence. We used the largest recent worldwide meta-analyses for risk factor prevalence and relative risk and if not available the best data.
Alzheimers Dement
December 2024
University College London, London, United Kingdom.
Background: The 2020 Lancet Commission on dementia prevention, intervention and care estimated that up to 40% of dementia cases could be prevented by tackling 12 potentially modifiable risk factors, namely less education, hearing loss, hypertension, physical inactivity, diabetes, social isolation, excessive alcohol consumption, air pollution, smoking, obesity, traumatic brain injury, depression. As more evidence on risk factors emerges, the Lancet standing commission on dementia met to update evidence on established dementia risk factors and to consider the evidence for other risk factors.
Method: We used a lifecourse approach to understand how to reduce risk or prevent dementia, as many risks operate at different timepoints in the lifespan.
Ther Clin Risk Manag
January 2025
Department of Nephrology and Clinical Poison Center, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan, Republic of China.
Background: The negative impacts of particulate matter with an aerodynamic diameter of 2.5 μm or less (PM) are well known. Patients undergoing maintenance hemodialysis (HD) have significantly higher blood cadmium levels (BCLs) than healthy individuals.
View Article and Find Full Text PDFNatl Sci Rev
January 2025
Center for Advances in Water and Air Quality, Lamar University, Beaumont, TX 77710, USA.
Wetlands in the Qinghai-Tibet Plateau are a unique and fragile ecosystem undergoing rapid changes. We show two unique patterns of mercury (Hg) accumulation in wetland sediments. One is the 'surface peak' in monsoon-controlled regions and the other is the 'subsurface peak' in westerly-controlled regions.
View Article and Find Full Text PDFBull World Health Organ
January 2025
Department of Atmospheric and Oceanic Sciences, McGill University, 805 Sherbrooke Street West, Montreal, QCH3A 0B9, Canada.
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