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Long-term monitoring of data of ambient mercury (Hg) on a global scale to assess its emission, transport, atmospheric chemistry, and deposition processes is vital to understanding the impact of Hg pollution on the environment. The Global Mercury Observation System (GMOS) project was funded by the European Commission (http://www.gmos.eu) and started in November 2010 with the overall goal to develop a coordinated global observing system to monitor Hg on a global scale, including a large network of ground-based monitoring stations, ad hoc periodic oceanographic cruises and measurement flights in the lower and upper troposphere as well as in the lower stratosphere. To date, more than 40 ground-based monitoring sites constitute the global network covering many regions where little to no observational data were available before GMOS. This work presents atmospheric Hg concentrations recorded worldwide in the framework of the GMOS project (2010-2015), analyzing Hg measurement results in terms of temporal trends, seasonality and comparability within the network. Major findings highlighted in this paper include a clear gradient of Hg concentrations between the Northern and Southern hemispheres, confirming that the gradient observed is mostly driven by local and regional sources, which can be anthropogenic, natural or a combination of both.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6145827 | PMC |
http://dx.doi.org/10.5194/acp-16-11915-2016 | DOI Listing |
Sci Data
September 2025
School of Geospatial Engineering and Science, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, China.
Longwave radiation (LWR) is a critical factor in surface energy balance and greenhouse effect studies, and its accurate measurement is essential for understanding climate change. However, existing remote sensing-based LWR products still have room for improvement in terms of spatiotemporal coverage, resolution, and accuracy. To address this issue, we developed the LWR Component of the global Long-term Earth System spatiotemporally Seamless Radiation budget dataset (LessRad).
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September 2025
UR SIMPA, Stress Immunity Pathogens Laboratory, Faculty of Medicine, University of Lorraine, Vandœuvre-lès-Nancy, France.
With future manned space projects involving missions of unprecedented duration, multisystem deconditioning induced by spaceflight could seriously affect the well-being and health of astronauts. Safe and easily determined in-flight biomarkers are therefore needed to monitor health status. In this study, we simulated space deconditioning with a 5-day dry immersion (DI) of 18 healthy women and 19 healthy men and evaluated the effects of this protocol on three biomarkers: the neutrophil-to-lymphocyte ratio (NLR), the granulocyte-to-lymphocyte ratio (GLR) and the platelet-to-lymphocyte ratio (PLR).
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September 2025
Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Solar photovoltaic (PV) systems, especially in dusty and high-temperature regions, suffer performance degradation due to dust accumulation, surface heating, and delayed maintenance. This study proposes an AI-integrated autonomous robotic system combining real-time monitoring, predictive analytics, and intelligent cleaning for enhanced solar panel performance. We developed a hybrid system that integrates CNN-LSTM-based fault detection, Reinforcement Learning (DQN)-driven robotic cleaning, and Edge AI analytics for low-latency decision-making.
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August 2025
Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, China Meteorological Administration, Yinchuan 750002, China.
This study aimed to quantitatively distinguish the contributions of climate change and human activities to net primary productivity (NPP). Based on meteorological observation data from 27 ground-based meteorological observation stations in Ningxia from 2000 to 2022 and Moderate Resolution Imaging Spectroradiometer (MODIS) data, we examined the spatiotemporal variations of potential net primary productivity (PNPP), actual net primary productivity (ANPP), and human-induced net primary productivity change (HNPP). The Thornthwaite Memorial model and the improved Carnegie-Ames-Stanford Approach (CASA) model, as well as Theil-Sen slope estimation, Mann-Kendall trend test, Hurst index, and partial correlation analysis were used.
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August 2025
School of Mining, Guizhou University, Guiyang, 550025, Guizhou, China.
Coal mining, as a typical human-induced engineering disturbance, alters the original stress field of overlying strata, triggering rock collapse and forming mining-induced pores and stratum pores. This not only exacerbates the risk of mine water hazards and gas outbursts but also threatens the safety of ground-based buildings and structures. However, the development and utilisation of underground space in abandoned mine areas as a potential resource provides an innovative approach to their comprehensive management.
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