The space-borne measured fine-mode aerosol optical depth (fAOD) is a gross index of column-integrated anthropogenic particulate pollutants, especially over the populated land. The fAOD is the product of the AOD and the fine-mode fraction (FMF). While there exist numerous global AOD products derived from many different satellite sensors, there have been much fewer, if any, global FMF products with a quality good enough to understand their spatiotemporal variations. This is key to understanding the global distribution and spatiotemporal variations of air pollutants, as well as their impacts on global environmental and climate changes. Modifying our newly developed retrieval algorithm to the latest global-scale Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol product (Collection 6.1), a global 10-year FMF product is generated and analyzed here. We first validate the product through comparisons with the FMF derived from Aerosol Robotic Network (AERONET) measurements. Among our 169,313 samples, the satellite-derived FMFs agreed with the AERONET spectral deconvolution algorithm (SDA)-retrieved FMFs with a root-mean-square error (RMSE) of 0.22. Analyzed using this new product are the global patterns and interannual and seasonal variations of the FMF over land. In general, the FMF is large (>0.80) over Mexico, Myanmar, Laos, southern China, and Africa and less than 0.5 in the Sahelian and Sudanian zones of northern Africa. Seasonally, higher FMF values occur in summer and autumn. The linear trend in the satellite-derived and AERONET FMFs for different countries was explored. The upward trend in the FMFs was particularly strong over Australia since 2008. This study provides a new global view of changes in FMFs using a new satellite product that could help improve our understanding of air pollution around the world.
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http://dx.doi.org/10.1016/j.envpol.2021.116707 | DOI Listing |
iScience
January 2025
International Institute for Applied Systems Analysis, Laxenburg, Lower Austria, Austria.
Cost reductions are essential for accelerating clean technology deployment. Because multiple factors influence costs, traditional one-factor learning models, solely relying on cumulative installed capacity as an explanatory variable, may oversimplify cost dynamics. In this study, we disentangle learning and economies of scale effects at unit and project levels and introduce a knowledge gap concept to quantify rapid technological change's impact on costs.
View Article and Find Full Text PDFOpen Res Eur
October 2024
Department of Process and Life Science Engineering, Division of Food and Pharma, LTH, Faculty of Engineering, Lund University, Lund, Skåne County, SE-221 00, Sweden.
Background: The NextFood Project ( www.nextfood-project.eu) started work in 2018 to identify 'Categories of Skills' that students should be equipped with to address the upcoming global challenges within agrifood and forestry disciplines, and involved concepts such as sustainability, technological adaptation and networking.
View Article and Find Full Text PDFFront Psychol
January 2025
LEAD, CNRS, UMR 5022, Université Bourgogne Europe, Dijon, France.
Numerous studies have shown that in novel noun generalization tasks, the simultaneous presentation of multiple learning examples increases the percentage of generalizations that are based on less salient properties, compared to the presentation of a single learning example. In this research with preschoolers ( = 300) we demonstrate that this effect can be modulated by dimensional distinctiveness, i.e.
View Article and Find Full Text PDFJ Clin Exp Hepatol
December 2024
Biochemistry and Molecular Biology Department, Theodor Bilharz Research Institute, Giza, Egypt.
Background: Liver fibrosis is a serious global health issue, but current treatment options are limited due to a lack of approved therapies capable of preventing or reversing established fibrosis.
Aim: This study investigated the antifibrotic effects of a synthetic peptide derived from α-lactalbumin in a mouse model of thioacetamide (TAA)-induced liver fibrosis.
Methods: analyses were conducted to assess the physicochemical properties, pharmacophore features, and docking interactions of the peptide.
One Health
June 2025
Department of Molecular Microbiology and Immunology, Johns Hopkins Malaria Research Institute, Johns Hopkins University, Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD 21205, USA.
Controlling insect pests that destroy crop and spread diseases will become increasingly crucial for addressing the food demands of a growing global population and the expansion of vector-borne diseases. A key challenge is the development of a balanced approach for sustainable food production and disease control in 2050 and beyond. Microbial biopesticides, derived from bacteria, viruses, fungi, protozoa, or nematodes, offer potentially significant benefits for promoting One Health and contributing to several United Nations Sustainable Development Goals (SDGs).
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