Minimizing carbon pollution and fossil fuels is among the most crucial issues in the sustainable development goals (SDGs). However, global environmental concerns have increased since India did not sign the global coal pledge at COP 26. It is therefore a question mark how India will achieve the 2070 carbon-free target with the increasing use of coal and oil. In this contenxt, this work examines the impact of fossil fuel efficiency, structural change, renewable energy consumption, technological innovation, and urbanization on carbon efficiency in India from 1980 to 2019. Employing the dynamic autoregressive distributed lag approach; the study reveals that fossil fuel efficiency, structural change, renewable energy, and technological innovation improve carbon efficiency, while urbanization worsens environmental quality. Based on the study's findings, the Indian government should invest more and incentivize technological innovation that supports fossil fuel efficiency and renewable energy deployment to achieve the SDGs.
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http://dx.doi.org/10.1007/s11356-023-28641-3 | DOI Listing |
PLoS One
January 2025
Escuela de Ingeniería Química, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.
In this comprehensive analysis of Chile's air quality dynamics spanning 2016 to 2021, the utilization of data from the National Air Quality Information System (SINCA) and its network of monitoring stations was undertaken. Quintero, Puchuncaví, and Coyhaique were the focal points of this study, with the primary objective being the construction of predictive models for sulfur dioxide (SO2), fine particulate matter (PM2.5), and coarse particulate matter (PM10).
View Article and Find Full Text PDFPLoS One
January 2025
School of Natural Sciences, Macquarie University, North Ryde, NSW, Australia.
The shape characteristics of flow hydrographs hold essential information for understanding, monitoring and assessing changes in flow and flood hydrology at reach and catchment scales. However, the analysis of individual hydrographs is time consuming, making the analysis of hundreds or thousands of them unachievable. A method or protocol is needed to ensure that the datasets being generated, and the metrics produced, have been consistently derived and validated.
View Article and Find Full Text PDFACS Nano
January 2025
Department of Chemistry and Biochemistry, Queens College, Flushing, New York 11367, United States.
Semiconductor nanomaterials and nanostructured interfaces have important technological applications, ranging from fuel production to electrosynthesis. Their photocatalytic activity is known to be highly heterogeneous, both in an ensemble of nanomaterials and within a single entity. Photoelectrochemical imaging techniques are potentially useful for high-resolution mapping of photo(electro)catalytic active sites; however, the nanoscale spatial resolution required for such experiments has not yet been attained.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Laboratory for Ecotoxicology and Environmental Forensics, University of Benin, PMB 1154, Benin City, Nigeria.
This research was carried out to assess the concentrations of carbon monoxide (CO) and formaldehyde (HCHO) in Edo State, Southern Nigeria, using remote sensing data. A secondary data collection method was used for the assessment, and the levels of CO and HCHO were extracted annually from Google Earth Engine using information from Sentinel-5-P satellite data (COPERNISCUS/S5P/NRTI/L3_) and processed using ArcMap, Google Earth Engine, and Microsoft Excel to determine the levels of CO and HCHO in the study area from 2018 to 2023. The geometry of the study location is highlighted, saved and run, and a raster imagery file of the study area is generated after the task has been completed with a 'projection and extent' in the Geographic Tagged Image File Format (.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Center of Nanomaterials for Renewable Energy (CNRE), State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, P. R. China.
The Fe-N-C catalyst, featuring a single-atom Fe-N configuration, is regarded as one of the most promising catalytic materials for the oxygen reduction reaction (ORR). However, the significant activity difference under acidic and alkaline conditions of Fe-N-C remains a long-standing puzzle. In this work, using extensive ab initio molecular dynamics (AIMD) simulations, we revealed that pH conditions influence ORR activity by tuning the surface charge density of the Fe-N-C surface, rather than through the direct involvement of HO or OH ions.
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