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COVID-19 lockdowns resulted in dramatic changes to fossil fuel CO emissions around the world, most prominently in the transportation sector. Yet travel restrictions also hampered observational data collection, making it difficult to evaluate emission changes as they occurred. To overcome this, we used a novel citizen science campaign to detect emission changes during lockdown and engage youth in climate science. Citizen scientists collected grass samples from their garden or local park, from which we analyzed the radiocarbon content to infer the recently added atmospheric fossil fuel CO mole fraction at each sampling location. The local fossil fuel CO mole fractions during lockdown were compared with a "normal" nonlockdown period. Our results from 17 sites in five cities around New Zealand demonstrate dramatic reductions in traffic emissions of 75 ± 3% during the most severe lockdown restriction period. This is consistent with sparse local traffic count information and a much larger decrease in traffic emissions than reported in global aggregate estimates of emission changes. Our results demonstrate that despite nationally consistent rules on travel during lockdown, emission changes varied by location, with inner-city sites typically dominated by bus traffic showing smaller decreases in emissions than elsewhere.
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http://dx.doi.org/10.1021/acs.est.1c07994 | DOI Listing |
Int J Biol Macromol
September 2025
Key Laboratory of Bio-Based Material Science and Technology of Ministry of Education, Northeast Forestry University, Harbin, 150040, China. Electronic address:
With the exhaustion of fossil fuels, prior phase change materials are characterized by such drawbacks as poor thermal conductivity, weak shape stability, and high costs. Therefore, the preparation of phase change materials with brilliant thermal-insulating properties, high thermal conductivity, and leakage-free properties has emerged as a crucial research focus. Herein, a sericultural mulberry branch-derived (SMB) composite phase change material was prepared by deep eutectic solvent pretreated SMB and vacuum-assisted impregnated paraffin wax with cupric oxide (CuO).
View Article and Find Full Text PDFSci Total Environ
September 2025
Department of Mechanical Engineering, University of Port Harcourt, Rivers State, Nigeria.
The urgent need to reduce fossil fuel emissions demands advanced control technologies beyond conventional catalysts. This review uniquely offers a comprehensive analysis of composite catalysts tailored to capture the full spectrum of fossil fuel pollutants, unlike prior studies that address individual emissions separately. It covers fundamental principles, reaction mechanisms, and recent material innovations, emphasizing multi-metallic, nanostructured, and hybrid catalyst designs.
View Article and Find Full Text PDFChemosphere
September 2025
Department of Computer Science, Modeling, Electronics and Systems Engineering (DIMES), University of Calabria, 87036, Rende, Italy.
In the present work, alkaline transesterification converted waste household cooking oil into biodiesel, a renewable alternative to fossil fuels. After characterising oil and choosing the independent variables of the reaction (methanol-to-oil molar ratio, catalyst concentration, temperature, and stirring), three dependent variables were selected to analyse biodiesel production globally, considering technical, energetic and environmental aspects. Therefore, biodiesel yield, energy intensity, and green chemistry balance were chosen as responses.
View Article and Find Full Text PDFPLoS One
September 2025
School of Chemical Engineering, University of New South Wales, Sydney, New South Wales, Australia.
Coal blending in thermal power plants is a complex multi-objective challenge involving economic, operational and environmental considerations. This study presents a Q-learning-enhanced NSGA-II (QLNSGA-II) algorithm that integrates the adaptive policy optimization of Q-learning with the elitist selection of NSGA-II to dynamically adjust crossover and mutation rates based on real-time performance metrics. A physics-based objective function takes into account the thermodynamics of ash fusion and the kinetics of pollutant emission, ensuring compliance with combustion efficiency and NOx limits.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Construction Technology & Management, Woldia University, Woldia City, Ethiopia.
This study investigates how adjusting operational parameters influences the performance and emission characteristics of a diesel engine operating on a blend of traditional diesel fuel and mahua biodiesel. The biodiesel was obtained using the transesterification method, and fuel blends were formulated with diesel proportions ranging from 80% to 100% and biodiesel content from 0% to 20%. Key engine parameters such as engine load (20 -100%), mahua biodiesel blend (0 -20%), and engine speed (1300 -1450 rpm) were varied systematically during the experiments, while the compression ratio was held constant at 18:1.
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