Air pollution is an important environmental and health concern all over the world and PM is one of the most important constituents of air pollution. In urban area with high population density, vehicles contribute a big portion of PM. The effect of vegetations along road, i.e., road greenbelts, on PM concentration is still a hot research topic. This study used three-dimensional green volume (3DGV, the three-dimensional volume of the crown and stems of all vegetations including trees, shrubs and grass) to evaluate the vegetation quantity of road greenbelts along four main roads in Nanjing, China. High spatial resolution images were collected with unmanned aerial vehicle (UAV) for othomosaic and feature extraction analysis. A Geographic Information System (GIS) database was developed to cover the location, crown diameter, crown height, and 3DGV information of vegetations in the road greenbelts. The environmental benefits of the road greenbelts were evaluated based on 3DGV information. The relationship between 3DGV of road greenbelts and PM concentration was analyzed and it was found that large 3DGV does not mean lower PM concentration. A road greenbelt with even vertical distribution of biomass and diversified vegetation species works better to reduce PM concentration. The implication of this research is that road greenbelt development should systematically consider surface water control, noise reduction, recreation, aesthetic, and air pollution control, thus to maximize its ecoservices to human being.
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http://dx.doi.org/10.1016/j.scitotenv.2019.02.306 | DOI Listing |
Phys Rev Lett
October 2024
Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany.
By exciting a series of 1s^{2} ^{1}S_{0}→1snp^{1}P_{1} transitions in heliumlike nitrogen ions with linearly polarized monochromatic soft x rays at the Elettra facility, we found a change in the angular distribution of the fluorescence sensitive to the principal quantum number n. In particular it is observed that the ratio of emission in directions parallel and perpendicular to the polarization of incident radiation increases with higher n. We find this n dependence to be a manifestation of the Hanle effect, which served as a practical tool for lifetime determinations of optical transitions since its discovery in 1924.
View Article and Find Full Text PDFSci Data
October 2024
European Commission, Joint Research Centre, Via E. Fermi 2749-TP 261, I-21027, Ispra (VA), Italy.
Aboveground biomass density (AGBD) estimates from Earth Observation (EO) can be presented with the consistency standards mandated by United Nations Framework Convention on Climate Change (UNFCCC). This article delivers AGBD estimates, in the format of Intergovernmental Panel on Climate Change (IPCC) Tier 1 values for natural forests, sourced from National Aeronautics and Space Administration's (NASA's) Global Ecosystem Dynamics Investigation (GEDI) and Ice, Cloud and land Elevation Satellite (ICESat-2), and European Space Agency's (ESA's) Climate Change Initiative (CCI). It also provides the underlying classification used by the IPCC as geospatial layers, delineating global forests by ecozones, continents and status (primary, young (≤20 years) and old secondary (>20 years)).
View Article and Find Full Text PDFMaterials (Basel)
September 2024
Division of Physics, Engineering, Mathematics and Computer Sciences, and Research on Nanomaterial-Based Integrated Circuits and Electronics (NICE), Delaware State University, Dover, DE 19901, USA.
Thin conducting films are distinct from bulk materials and have become prevalent over the past decades as they possess unique physical, electrical, optical, and mechanical characteristics. Comprehending these essential properties for developing novel materials with tailored features for various applications is very important. Research on these conductive thin films provides us insights into the fundamental principles, behavior at different dimensions, interface phenomena, etc.
View Article and Find Full Text PDFSci Rep
August 2024
Department of Chemical and Environmental Engineering, University of Cincinnati, Cincinnati, OH, 45221‑0012, USA.
Sci Rep
July 2024
Department of Chemical and Environmental Engineering, University of Cincinnati, Cincinnati, OH, 45221-0012, USA.
As extreme precipitation intensifies under climate change, traditional risk models based on the '100-year return period' concept are becoming inadequate in assessing real-world risks. In response, this nationwide study explores shifting extremes under non-stationary warming using high-resolution data across the contiguous United States. Results reveal pronounced variability in 100-year return levels, with Coastal and Southern regions displaying the highest baseline projections, and future spikes are anticipated in the Northeast, Ohio Valley, Northwest, and California.
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