In recent years, quantifying the impacts of detrimental air quality has become a global priority for researchers and policy makers. At present, the systems and methodologies supporting the collection and manipulation of this data are difficult to access. To support studies quantifying the interplay between common gaseous and particulate pollutants with meteorology and biological particles, this paper presents a comprehensive data-set containing daily air quality readings from the Automatic Urban and Rural Network, and pollen and weather data from Met Office monitoring stations, in the years 2016 to 2019 inclusive, for the United Kingdom. We describe (1) the sources from which the data were collected, (2) the methods used for the data cleaning process and (3) how issues related to missing values and sparse regional coverage were addressed. The resulting data-set is designed to be used 'as is' by those using air quality data for research; we also describe and provide open access to the methods used for curating the data to allow modification of or addition to the data-set.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828887 | PMC |
http://dx.doi.org/10.1038/s41597-022-01135-6 | DOI Listing |
Ying Yong Sheng Tai Xue Bao
October 2024
College of Energy and Environmental Engineering, Hebei University of Engineering/Hebei Key Laboratory of Air Pollution Cause and Impact/Hebei Engineering Research Center of Sewage Treatment and Resource Utilization, Handan 056038, Hebei, China.
Estuaries are transitional zones between rivers and marine environments, with intensive human activities. Pollutants pose a threat to the ecological systems of estuaries. Among these pollutants, microplastics and antibiotic resistant genes have gained significant attention due to their potential impacts on estuarine organisms and human health.
View Article and Find Full Text PDFFront Artif Intell
December 2024
HPC Laboratory, Department of Engineering and Geology, University "G. d'Annunzio" Chieti-Pescara, Pescara, Italy.
The construction industry is rapidly adopting Industry 4.0 technologies, creating new opportunities to address persistent environmental and operational challenges. This review focuses on how Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are being leveraged to tackle these issues.
View Article and Find Full Text PDFEnviron Res Commun
December 2024
Department of Biological Sciences, College of Natural Sciences, Redeemer's University, Ede, Osun State, Nigeria.
Bioaerosols, a significant yet underexplored component of atmospheric particulate matter, pose substantial public health risks, particularly in regions with poor air quality. This study investigates the composition of bioaerosols in public spaces, specifically two interstate motor parks and two marketplaces in Osun State, Nigeria, over six months. Air samples were collected, and bacterial and fungal species were identified, focusing on pathogenic organisms.
View Article and Find Full Text PDFAdv Mater
December 2024
Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, Shaanxi Key Laboratory for Advanced Energy Devices, Shaanxi Engineering Lab for Advanced Energy Technology School of Materials Science and Engineering, Shaanxi Normal University, Xi'an, 710119, P. R. China.
The rapidly increased efficiency of perovskite solar cells (PSCs) indicates their broad commercial prospects, but the commercialization of perovskite faces complex optimization processes and stability issues. In this work, a simple optimized strategy is developed by the addition of trimethylgermanium chloride (TGC) into FACsPbI precursor solution. TGC triggers the successive interactions in perovskite solution and film, involving the hydrolysis of vulnerable Ge─Cl bond forming Ge─OH group, then forming the hydrogen bonds (O─H···N and O─H···I) with FAI.
View Article and Find Full Text PDFJ Asthma
December 2024
Department of Otorhinolaryngology & Clinical Allergy Center, The First Affiliated Hospital, Nanjing Medical University, Nanjing, China.
Background: Thunderstorm Asthma (TA) events are observed worldwide, but the precise triggering mechanisms remain elusive.
Objective: This study aims to outline the environmental patterns associated with TA events in China.
Methods: Environmental data was collected from Chinese cities that have experienced TA events, focusing on meteorological conditions in the seven days preceding the thunderstorms.
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