Showing papers in "Atmospheric Pollution Research in 2017"

TL;DR: In this article, the authors used three models: a multiple linear regression model, a neural network model with and without recursive architecture to forecast the daily averaged concentration of PM10 from one to three days ahead.

TL;DR: It was found that a higher number of people were admitted to hospital when PM10 concentrations exceed 200 mu g/m(3) related to the MED events, and several immediate actions such as strategic management of water bodies or planting of tree species in suburbs particularly bare area around the city could be effective to mitigate the impact of desert dust on respiratory illness.

TL;DR: Based on the remote sensing retrieval of PM 2.5 data in the long-time series, both the linear regression and grey system correlation analysis methods were employed to analyze the spatial and temporal pattern, variation trend and the main influencing factors of PM2.5 concentration in China from 1998 to 2014 as mentioned in this paper.

TL;DR: In this article, a hybrid-Garch (generalized autoregressive conditional heteroskedasticity) methodology is proposed in order to integrate the individual forecasting models of the ARIMA (Autoregressive integrated moving average) and SVM(Support Vector Machine).

TL;DR: In this paper, the authors proposed a global temperature anomaly (GTA) model based on the equation proposed in part by Loehle and Scafetta, 2011, Open Atmos. Meteorol. J. Roy. Soc. Sci. 5, 74-86 with the incorporation of the CO2 sensitivity factor in this work.

TL;DR: In this paper, the impact factors of CO2 emissions are analyzed by the ridge regression method based on an extended STIRPAT model in terms of the current status of demographic and industrial structure.

TL;DR: In this paper, the Environmental Protection Agency (USEPA) identified benzene, Toluene, Ethylbenzene, and Xylene (BTEX) as hazardous air pollutants.

TL;DR: In this paper, a preliminary study aimed to characterise the indoor air quality during sleep, which has been scarcely studied, to better understand the occupant's exposure to indoor air pollutants.

TL;DR: In this article, the authors focused on identification of sources of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) during the non-haze and haze seasons and investigated the concentration and toxicity of fine particulate matter, especially in the middle of biomass burning period.

TL;DR: In this article, the authors investigated trace element concentrations in PM10 for their distribution, source apportionment and health impact assessment in Dhanbad, Jharkhand, India.

TL;DR: In this paper, levels of polybrominated diphenyl ethers (PBDEs) and novel brominated flame retardants (NFRs) were measured in ambient outdoor air, indoor air and indoor dust collected in homes and offices at urban, semi-urban and rural locations in Istanbul, Turkey.

TL;DR: In this article, emission characteristics of soot particles and particle-phase organic compounds emitted from a diesel engine fueled with different oxygenated fuel blends were investigated, and the results indicated that both of the diesel-biodiesel (DB) blends and the DBE blends could reduce particle mass emission rate and particle total number concentration at either low or high engine load.

TL;DR: In this paper, the seasonal and spatial variations of atmospheric dust deposition rates and dust-borne heavy metals concentrations in the city of Isfahan and its surrounding areas in central Iran were reported.

TL;DR: In this article, the levels and sources of VOCs in the atmosphere of Bursa have been investigated by measuring C2-C12 VOC, which include alkanes, alkenes, alkines, aromatics and halogenated hydrocarbons in two different campaigns.

TL;DR: In this article, the authors investigated the chemical characterizations, source apportionments, and health effects of PM2.5 and PM10 in Zhengzhou in typical months from 2014 autumn to 2015 summer representing the four seasons.

TL;DR: In this paper, a logarithmic mean divisia index (LMDI) decomposition analysis was employed to examine the factors (e.g., the number of households, per capita household income, household size, urbanization, energy intensity, energy structure and emission coefficient) impacting the changes in residential direct carbon emissions in Shanxi province of China from 1995 to 2014.

TL;DR: In this paper, the authors collected PM1 samples during foggy and non-foggy nights at Kanpur in central Indo-Gangetic plain (IGP) to assess light absorption characteristics and direct radiative forcing of water-extractable brown carbon (BrC).

TL;DR: In this paper, the authors presented the characterization and modeling of exhaust emissions released from the passenger cars on urban roads under heterogeneous traffic conditions using artificial neural network (ANN) technique.

TL;DR: In this paper, the authors measured the emission factors for mass and carbonaceous particles from residential coal combustion and agricultural biomass burning in the laboratory simulations and found that the average PM 2.5, organic carbon (OC) and elemental carbon (EC) EFs from the combustion of a mixture of bituminous and anthracite coals were 6.1−7.1g−kg −1, 1.9−±2.5, OC and EC EFs were 14.4±3.8, respectively, while the average OC/EC ratio for agricultural

TL;DR: In this article, the authors used ARIMA models for daily temporal analysis of the effect of land surface coverage (LSC) on PM10 concentrations in a high-altitude megacity.

TL;DR: Li et al. as discussed by the authors used a multi-layer perceptron (MLP) type of back-propagation neural network to predict hourly PM 2.5 (Respirable particulate matter with aerodynamic diameter below two.5μm) concentrations for a chosen number of forward time steps over eastern China.

TL;DR: In this article, the authors compared commuters' exposures to inhalable suspended particulate matter (PM) for different transportation modes in Xi'an City, China and found that PM exposure is significantly influenced by transportation mode as well as by vehicle ventilation systems.

TL;DR: Differences among species provide more insight into the sink capacity of green tree species, and the efficiencies of plant species for trapping particulates can be used to guide urban tree planning and decrease air pollution.

TL;DR: In this paper, the effects of vegetation on the dispersion of reactive pollutants using a computational fluid dynamic (CFD) model coupled with NO-NO2-O3 photochemistry were investigated.

TL;DR: Zhang et al. as discussed by the authors used recent acid rain and urban pollutant emissions data from the eastern coastal Jiangsu province to analyze the spatial distribution of acid rain, and developed a back-trajectory model for the cluster analysis of the air mass transfer characteristics of the acid rain.

TL;DR: In this paper, the embodied carbon emissions in the trade between China and South Korea from 2000 to 2010 were calculated based on an input-output model, and the authors analyzed the reasons and gave some future advices.

TL;DR: In this paper, the authors analyzed the total suspended particulates (TSP) and particulate matter less than 10μm (PM10) concentrations along with the water-soluble ionic species (WSIS) in airborne dust samples collected in Zabol, located in the Sistan basin of southeast Iran.

TL;DR: In this article, an integrated analysis, considering various time periods (annual, seasonal and diurnal as a function of seasons and weekdays/weekends) and a statistical analysis of concentrations in relation to local meteorological conditions has been conducted.

TL;DR: In this paper, the role of different atmospheric temperature on the effectiveness of chemical suppressants to control mine haul road dust was investigated and it was concluded that atmospheric temperatures play an important role in the effectiveness.

TL;DR: Temporal evolution, source apportionment and transport pathways of particulate matter (PM2.5 and PM10) are analyzed over Guwahati, located in the Brahmaputra River Valley (BRV), as a function of meteorological dynamics as discussed by the authors.