Showing papers in "Atmospheric Environment in 2019"

TL;DR: In this article, a cross-comparison and evaluation of these Terra MODIS aerosol products with reference to the enhanced ground-based AOD measurements by the Aerosol Robotic Network (AERONET) Level 3 Version 2.0 data at 384 ground stations was performed.

TL;DR: In this article, the authors present real-world diesel Euro VI HDVs emissions of both gaseous pollutants and solid PN and compare the performance of aftertreatment systems under different speed conditions.

TL;DR: A deep learning-based method namely transferred bi-directional long short-term memory (TL-BLSTM) model for air quality prediction, which utilizes the bi- directional LSTM model to learn from the long-term dependencies of P M 2.5 and applies transfer learning to transfer the knowledge learned from smaller temporal resolutions to larger temporal resolutions.

TL;DR: The role of air purification technologies in key indoor micro-environments demonstrates that air filtration produces clear reductions in indoor pollution concentrations as discussed by the authors, however, this is not the case for all environments.

TL;DR: In this article, the results of 12 low-cost sensors measurement of PM2.5 (particles with aerodynamic diameter less than 2.5 μm) tested under ambient conditions against a federally equivalent method (FEM) instrument at an ambient air monitoring station in Riverside, CA spanning over a 3-year period from 02/05/15 to 03/27/18.

TL;DR: In this article, a two-step interpolation method (i.e., the mixed-effect model and inverse distance weighting technology) was developed to replace the missing values in AOD.

TL;DR: In this article, the authors analyzed global and regional trends in anthropogenic Hg releases to the atmosphere between 2010 and 2015, as well as the associated trends in modeled and measured Hg concentrations at sites around the world.

TL;DR: In this article, the importance of vegetation in reducing air pollutant concentrations in urban parks was investigated and it was shown that pollution concentrations typically decline more rapidly along transects with vegetation than those without.

TL;DR: In this paper, the authors used a suite of extensive observations of PM2.5 and its precursors concentrations during the international KORea-US cooperative Air Quality field study in Korea (KORUS-AQ) in May-June 2016 to investigate source contributions.

TL;DR: The contribution of traffic-related particulate matter (PM2.5, particles smaller than 2.5μm in diameter) sources can vary temporally and spatially, which may disproportionately contribute to health outcomes as mentioned in this paper.

TL;DR: In this article, a portable battery-operated experimental set-up was designed for measuring the pollutant concentrations for 30 full days over a field campaign period of three months, and the results showed that the combination of trees and hedges resulted in reduced pollutant concentration behind the GI.

TL;DR: In this paper, the authors investigated the topographic effects of the Sichuan basin topography on haze pollution and showed that the topography of the basin can lead to an increase in surface PM2.5 levels.

TL;DR: In this article, the authors developed a substantially revised version of AirGIS (hereafter, new AirGis) as a new modelling system in open-source GIS i.e. PostgreSQL software with its spatial extension PostGIS to optimize the model performance enabling model calculations for a large number of sites over a large geographical area, with limited computing resources.

TL;DR: In this article, the VOC characteristics and sources of Shanghai were investigated with a focus on the relative contributions of local emissions and regional transport, as well as on the potential source regions.

TL;DR: In this article, the authors present evidence of primary sulfate emissions from residential coal combustion (RCC) by testing particulate matter (PM) emissions from briquettes and chunk coal burned in a household stove.

TL;DR: In this article, 30 provinces are divided into three areas (advantageous area, potential area and backward area) from 1996 to 2015 by factor analysis and cluster analysis according to the different social development which is measured by urbanization, economy, energy utilization, industry and technology.

TL;DR: The hybrid algorithm proposed in this paper can be effectively applied to the short-term forecasting of PM2.5 concentrations and can significantly improve the accuracy of prediction.

TL;DR: In this paper, the authors investigated 104 volatile organic compounds (VOCs) in Heshan from 22 October to 22 November 2014 to identify the sources and abatement mechanisms of VOCs in southern China.

TL;DR: In this paper, the authors tracked ambient PM2.5 (fine particulate matter) build-up in Delhi NCR during the dry season (October-June) by analysing 15 years (2001-02 to 2015-16) of high-resolution (1 km) satellite data that has been bias corrected using coincident in-situ data.

TL;DR: In this paper, a k-means cluster technique and a positive matrix factorization model were used to study the VOC reactivity in terms of volume and carbon atoms to temperature.

TL;DR: In this article, the authors presented the first study combining accurate and precise determination of Pb, Cu and Zn isotopic ratios in aerosols and anthropogenic materials collected in Sao Paulo, Brazil.

TL;DR: In this paper, the authors evaluated the performance of the Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 61 (C61) aerosol optical depth (AOD) products and compared them with the Collection 6 (C6) products over regions in China with multifarious underlying surfaces during 2001-2016.

TL;DR: In this article, a comprehensive overview is provided evaluating direct real-world CO2 emissions of both diesel and petrol cars newly registered in Europe between 1995 and 2015, and three scenarios: the historic case, another scenario freezing percentages of diesel cars at the low levels from the early 1990s (thus avoiding the observed "boom" in new diesel registrations), and an advanced mitigation scenario based on high proportions of petrol hybrid cars and cars burning gaseous fuels.

TL;DR: In this paper, the authors evaluated the performance of AHI aerosol products based on sixteen sun-photometers stations in AErosol RObotic NETwork (AERONET) and Sun-Sky Radiometer Observation Network (SONET) over China.

TL;DR: The extensive analysis of plant species at leaf-level with distinct micro-morphology contributes to a better understanding of plantspecies behavior in net particle capture and their contribution in reducing atmospheric particulate matter.

TL;DR: Wang et al. as mentioned in this paper investigated the effect of biochar application combined with controlled irrigation on rice yield and methane (CH4) and nitrous oxide (N2O) emission from paddy fields in the Taihu Lake Region of China.

TL;DR: Wang et al. as discussed by the authors showed that the carcinogenic risks of the emitted VOCs from the five oils follow the order of peanut, canola, soybean, peanut, corn and lard.

TL;DR: Wang et al. as discussed by the authors analyzed the characteristics and sources of heavy metals (Pb, Cd, Cu, Zn, Sr, V and Co) in road dust samples from nine roads in Nanchang, China in September 2013.

TL;DR: In this article, the authors developed a daily PM2.5 product at 1'×'1'km2 spatial resolution across the eastern United States (east of 90° W) with the aid of 1'x'1 'km2 MAIAC aerosol optical depth (AOD) data, 36'x '36' km2 WRF-Chem output, 1'ox' 1'k2 land-use type from the National Land Cover Database, and 0.125° ERA-Interim re-analysis meteorology.

TL;DR: In this article, the authors evaluated the long-term Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6.1 (C6.1) Level 3 atmospheric aerosol products over land.