Fant 10464 publikasjoner. Viser side 402 av 419:
New report reveals major risks in turning oceans into carbon sinks | ScienceDaily
Experts say the ocean could help absorb carbon dioxide, but today’s technologies are too uncertain to be scaled up safely. New findings released during COP30 highlight the risks of rushing into marine carbon removal without proper monitoring and verification. With the 1.5°C threshold approaching, researchers stress that emissions cuts must remain the top priority. Ocean-based methods may play a role later, but they need careful oversight first.
2025
Monitoring air quality around airports and nearby cities is crucial to understanding the role of emissions from air traffic and other airport activities. This report analyses air quality in 23 European airports, revealing limited observations in and around airport areas. Only three of the 23 airports had at least one air quality sampling point for NO2, PM2.5 and O3 inside the airport area. Concentrations in nearby cities can be up to double (NO2), 57% higher (PM2.5) and 85% higher (O3) when the wind comes from the airport. EEA air quality maps showed higher annual mean NO2 concentrations in airport areas compared to surrounding regions, with one airport above the 2030 limit value of 20 µg/m³. Annual mean PM2.5 concentrations were also higher in airport areas, with six airports exceeding the revised limit value. The limited number of sampling points makes it challenging to assess trends in NO2, PM2.5 and O3 concentrations. A final chapter of the report presents an overview of available measurements and studies of ultra fine particles (UFP) in the vicinity of airports.
European Topic Centre on Human Health and the Environment (ETC HE)
2025
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2025
VKM skal lage oversikt over hvilke krav som bør stilles til konsekvensutredninger ved planlegging av nye vindkraftprosjekter. Det er laget en protokoll som beskriver hvordan VKM vil gå frem for å løse oppdraget.
Bakgrunn for oppdraget
Et vindkraftverk kan forurense omgivelsene både under etablering, drift og avvikling. Dersom området ligger innenfor et vanntilsigsområde for drikkevann, kan det utgjøre en forurensningsfare for drikkevannet.
Mattilsynet er høringsinstans når vindkraftverk skal etableres, og de ønsker en oversikt over hvilke krav som bør stilles til konsekvensutredningene.
Dette er en bestilling fra Mattilsynet, som fører tilsyn med drikkevann.
Om protokollen
VKM har utarbeidet en protokoll for hvordan vi skal løse oppdraget som går på å utarbeide krav til informasjon om, og risikovurdering av farene ved søknad om etablering av vindkraftverk. Protokollen favner bruk av kjemiske stoffer og annen aktuell forurensing som kan utgjøre en risiko for drikkevann gjennom hele vindkraftverkets livsløpssyklus (anlegg, drift, vedlikehold og avvikling)
2025
Protein-nanomaterial interaction is a topic of great interest for nanotechnology research, particularly for advancing strategies in nanomedicine and nanosafety. This study explores the thermodynamic signatures associated with the interactions of six TiO2 nanoforms, (differing in their crystalline structure, surface properties and particle size) with bovine serum albumin as model protein. By integrating findings from electron paramagnetic resonance spectroscopy (EPR) regarding the free radical generation following interaction, together with information on the stability and conformational changes of the protein during adsorption on TiO2 nanomaterials, we aim to elucidate the binding mechanisms and identify the primary factors influencing nanomaterial's reactivity. The effect of the particle size, crystalline structure and surface properties on the binding parameters, protein structural stability and EPR data is discussed. Finally, the relevant parameters suitable for understanding molecular interactions at the bio/nano interface have been corroborated with the toxicological outcomes resulting from the measurements on the viability, proliferation and real time attachment of relevant cell lines, as well as with the detection of DNA strand breaks and oxidized DNA at the single-cell level. Thermodynamic and EPR parameters emerge as key descriptors for determining adsorption/binding processes and toxic effects of nanomaterials. The rankings with respect to cell damage and to oxidative stress inducing potential follow the same ranking seen in nanomaterial's influence on the BSA structural stability, binding affinity and enthalpic character of the interaction. Our findings highlight the intricate relationships between the parameters governing bio-nano interactions and the toxicity of the nanomaterials, and their significance in assessing nanomaterial safety and efficacy.
2025
Abstract This study introduces a community-focused eCoach recommendation system aimed at enhancing physical activity by leveraging demographic data, wearable sensor inputs, and machine learning algorithms to generate both individual and community-based activity recommendations using advice-based collaborative filtering. Existing eCoaching systems largely focus on personalized feedback without incorporating social reinforcement or group-level motivation, creating a gap in leveraging community influence for sustained health behaviors. Our system combines real-time activity tracking through wearable sensors and advice-based collaborative filtering to deliver adaptive recommendations. We collected data from 31 participants (16 using MOX2-5 sensors and 15 from a public Fitbit-based dataset), targeting daily activity levels to generate actionable guidance. Through decision tree classification and SHAP-based interpretability, we achieved a model accuracy of 99.8%, with F1, precision, recall, and MCC metrics confirming robustness across both balanced and imbalanced datasets. Ethical considerations, including privacy, bias mitigation, and informed consent, were integral to our design and implementation. Limitations include potential biases due to sample size and data imbalances, suggesting the need for future validation on independent datasets. This system demonstrates the potential to integrate with real-world healthcare initiatives, offering trust, transparency, and user engagement opportunities to meet public health objectives.
2025
Quantifying European SF6 emissions from 2005 to 2021 using a large inversion ensemble
Abstract. Sulfur hexafluoride (SF6) is a highly potent and long-lived greenhouse gas whose atmospheric concentrations are increasing due to human emissions. In this study, we determine European SF6 emissions from 2005 to 2021 using a large ensemble of atmospheric inversions. To assess uncertainty, we systematically vary key inversion parameters across 986 sensitivity tests and apply a Monte Carlo approach to randomly combine these parameters in 1003 additional inversions. Our analysis focuses on high-emitting countries with robust observational coverage – UK, Germany, France, and Italy – while also examining aggregated EU-27 emissions. SF6 emissions declined across all studied regions except Italy, largely attributed to EU F-gas regulations (2006, 2014), however, national reports underestimated emissions: (i) UK emissions dropped from 68 (47–77) t yr−1 in 2008 to 19 (15–26) t yr−1 in 2018, aligning with the reports from 2018 onward; (ii) French emissions fell from 78 (51–117) t yr−1 (2005) to 35 (19–54) t yr−1 (2021), exceeding reports by 88 %; (iii) Italian emissions fluctuated (25–48 t yr−1), surpassing reports by 107 %; (iv) German emissions declined from 182 (155–251) t yr−1 (2005) to 97 (88–104) t yr−1 (2021), aligning reasonably well with reports; (v) EU-27 emissions decreased from 403 (335–501) t yr−1 (2005) to 225 (191–260) t yr−1 (2021), exceeding reports by 20 %. A substantial drop from 2017 to 2018 mirrored the trend in southern Germany, suggesting regional actions were taken as the 2014 EU regulation took effect. Our sensitivity tests highlight the crucial role of dense monitoring networks in improving inversion reliability. The UK system expansions (2012, 2014) significantly enhanced result robustness, demonstrating the importance of comprehensive observational networks in refining emission estimates.
2025
Rethinking Global Soil Degradation: Drivers, Impacts, and Solutions
The increasing threat of soil degradation presents significant challenges to soil health, especially within agroecosystems that are vital for food security, climate regulation, and economic stability. This growing concern arises from intricate interactions between land use practices and climatic conditions, which, if not addressed, could jeopardize sustainable development and environmental resilience. This review offers a comprehensive examination of soil degradation, including its definitions, global prevalence, underlying mechanisms, and methods of measurement. It underscores the connections between soil degradation and land use, with a focus on socio‐economic consequences. Current assessment methods frequently depend on insufficient data, concentrate on singular factors, and utilize arbitrary thresholds, potentially resulting in misclassification and misguided decisions. We analyze these shortcomings and investigate emerging methodologies that provide scalable and objective evaluations, offering a more accurate representation of soil vulnerability. Additionally, the review assesses both physical and biological indicators, as well as the potential of technologies such as remote sensing, artificial intelligence, and big data analytics for enhanced monitoring and forecasting. Key factors driving soil degradation, including unsustainable agricultural practices, deforestation, industrial activities, and extreme climate events, are thoroughly examined. The review emphasizes the importance of healthy soils in achieving the United Nations Sustainable Development Goals, particularly concerning food and water security, ecosystem health, poverty alleviation, and climate action. It suggests future research directions that prioritize standardized metrics, interdisciplinary collaboration, and predictive modeling to facilitate more integrated and effective management of soil degradation in the context of global environmental changes.
2025
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Best Practice Protocol for the validation of Aerosol, Cloud, and Precipitation Profiles (ACPPV)
Committee on Earth Observation Satellites - CEOS
2025
Introduction
Per- and polyfluoroalkyl substances (PFAS) have been linked to effects on human lipid profiles, with several epidemiological studies reporting associations between specific PFAS and blood lipid concentrations. However, these associations have been inconsistent, and most studies have focused on cross-sectional analyses with limited repeated measurements.
Objective
In this study, we investigated associations between serum PFAS concentrations and major blood lipid classes over a 30-year period (1986–2016) and up to five time points. Lipids analyzed included total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG).
Methods
This study included 145 participants from The Tromsø Study, Norway, who donated plasma samples three to five times over the study period. Linear mixed-effects (LME) models assessed longitudinal associations between PFAS and lipid classes, while multiple linear regression (MLR) models were used for cross-sectional associations.
Results
LME models demonstrated positive longitudinal associations between perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), perfluoroundecanoic acid (PFUnDA), perfluorododecanoic acid (PFDoDA), and perfluorotridecanoic acid (PFTrDA) with TC. Additionally, PFOA, PFDA, PFUnDA, PFDoDA, and PFTrDA were associated with LDL-C, and PFUnDA and summed perfluorooctane sulfonate isomers (∑PFOS) with HDL-C. Cross-sectional analyses corroborated positive associations between the six PFAS compounds and TC at least three times, but the LDL-C and HDL-C associations were not confirmed. Summed perfluorooctane sulfonamide isomers (∑PFOSA) showed a negative association with LDL-C longitudinally, but this was not confirmed cross-sectionally. No associations were observed between PFAS and TG, longitudinally or cross-sectionally.
Conclusion
Concentrations of multiple PFAS were positively associated with blood lipids in longitudinal analyses, with the most consistent associations observed between six PFCA compounds and TC. These findings highlight the need for further investigation into these complex associations.
2025