Showing papers in "Atmospheric Environment in 2021"

TL;DR: CO2-warming-equivalent emissions based on global warming potentials (GWP* method) indicate that aviation emissions are currently warming the climate at approximately three times the rate of that associated with aviation CO2 emissions alone.

TL;DR: In this article, a series of wind tunnel experiments using two different substrates (sand and soil), two different microplastics (microbeads and fibres) and five different concentrations of microplastic (ranging from 0,mg kg−1dw to 1040 ǫm kg− 1dw) was used to demonstrate that microplasts are preferentially transported by wind compared to sand and soil.

TL;DR: In this article, the authors reviewed the national emissions, particle size distributions and chemical composition of each of these sources and concluded that the introduction of battery electric vehicles had only a small effect on overall road traffic particle emissions.

TL;DR: In this article, the authors examined the vehicle weight-dependence of PM10 and PM2.5 emissions from abrasion (brake, tyre and road surface wear) and road dust resuspension and generated a comparison of the two vehicle types.

TL;DR: In this paper, the authors collected atmospheric microplastic samples from the northwestern South China Sea and estimated that in the fall the dry deposition of atmospheric micro-plastics into the ocean was 1.4 × 104 t, which had a greater contribution than riverine inputs of microplastics in this region, suggesting that atmospheric micro plastics are non-negligible sources of marine plastic litter with high environmental risk.

TL;DR: In this article, the authors reviewed and summarized four types of gap-filling strategies, and applied them to a random forest PM2.5 prediction model that incorporated ground observations, chemical transport model (CTM) simulations, and satellite AOD for predicting daily PM 2.5 concentrations at a 1-km resolution in 2013 in the Beijing-Tianjin-Hebei region and the Yangtze River Delta.

TL;DR: The potential causes for the poor air quality in NCP are sought combining satellite data, ground measurements and model analyses, and understanding the nonlinear response between atmospheric secondary aerosols and NOx emissions is meaningful to cope with the emerging air pollution problems in China.

TL;DR: In this paper, the NO3∙ oxidation of five phenolic derivatives, including phenol, catechol, 3-methylcatechol and guaiacol, was investigated in laboratory experiments and several classes of nitro-containing products in addition to the well-known nitrophenol compounds were observed.

TL;DR: In this article, the capabilities of a deep neural network (DNN) model in conjunction with conventional, more reliable chemical transport models were explored to improve the performance of the chemical transport model (e.g., CMAQ) and to extend the forecast period to seven days.

TL;DR: In this paper, the pollutant level and distribution in a section of one of the main road arteries of Antwerp (Belgium, Europe) are analyzed through computational fluid dynamics (CFD).

TL;DR: Concentration weighted trajectory (CWT) analysis showed that the anthropogenic activities over Nepal and forest fire over north-east India were the major long-distant sources of the CA over Darjeeling during the normal period and during lockdown, which indicates the immense importance of Himalayan biosphere as a major source of organic carbon.

TL;DR: Aerosol optical properties have been analyzed to investigate seasonal and regional variability of aerosols and to classify their key types over the Middle East during the period 2001-2019 as mentioned in this paper.

TL;DR: In this article, the spatial-temporal changes in air pollution (including sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), carbon monoxide (CO), and particles with an aerodynamic diameter less than 10μm (PM10) and less than 2.5mm (PM2.5)) from 2006 to 2019 were analyzed.

TL;DR: A transparent and reproducible alternative method (ALT) of calculating PM2.5 from the particle numbers in three size categories was used in place of the estimates provided by Plantower, the manufacturer of the sensors used in PurpleAir monitors as discussed by the authors.

TL;DR: In this article, ground-based lidar observations from the Autonomous Mobile Ozone Lidar for Tropospheric Experiments (AMOLITE) system in Alberta, Canada retrieved frequent ozone (O3) and aerosol lamina in the free troposphere during the fire influence on Regional to Global Environments and Air Quality (FIREX-AQ) campaign conducted in the United States between July 24 and September 6, 2019 Ground-based in situ measurements were applied to define the trans-Pacific and trans-Arctic transport pathways of Siberian biomass burning emissions resulting

TL;DR: Wang et al. as mentioned in this paper used generalized additive models (GAMs) to forecast the maximum daily 8-h ozone (O3) mass concentration for 334 cities in China and found that O3 was correlated to numerous meteorological variables including air pressure, temperature, relative humidity, wind speed, wind direction, sunshine duration, evaporation, and precipitation.

TL;DR: In this article, the authors leverage the aerosol optical depth (AOD) and random forest (RF) algorithm to estimate daily 1-km PM2.5 concentrations over Texas from 2014 to 2018.

TL;DR: Wang et al. as discussed by the authors analyzed pollution concentration degree (PCD) and pollution concentration period (PCP), and assessed spatial and temporal variations of open straw burning, which is an important source of atmospheric pollutants in China.

TL;DR: The results indicated that due to the COVID-19 lockdown, the surface NO2 concentrations decreased by 42% and 26% over China in February and March 2020, respectively, and medium quality TROPOMI retrievals might suffer large biases in some periods.

TL;DR: In this article, the authors used the Weather Research and Forecasting model with Chemistry (WRF-Chem) to simulate the spatial and seasonal variability of main physical and chemical variables over Asia for the year 2015 at 8-km horizontal resolution to enable resolving small-scale features induced by the region complex topography.

TL;DR: In this paper, the authors evaluated model performance on O3 and PM2.5 in the Yangtze River Delta (YRD) during the Expander-YRD campaign using the Weather Research and Forecasting/Community Multiscale Air Quality modelling system (WRF/CMAQ).

TL;DR: In 2018, the hit ratio (i.e., accuracy) of the CMAQ model was 60%, with an additional increase of 10% with the involvement of a forecaster.

TL;DR: In this article, the authors verify the accuracy of the Multi-Angle Implementation of Atmospheric Correction (MAIAC) aerosol optical depth (AOD) product on a global scale using AOD measurements during 2000-2019 at 332 Aerosol Robotic Network (AERONET) sites.

TL;DR: In this article, the authors performed measurements of volatile organic compounds (VOCs) and other pollutants in Shanghai in winter and classified the whole measurements into three types of periods, including particulate pollution episodes (PPE), VOC pollution episodes, and relatively clean periods based on the pollution characteristics.

TL;DR: In this paper, a zero-dimensional box model (F0AM) based on the Master Chemical Mechanism (MCM3.3) was used to explore the potential sources and formation pathways of HONO.

TL;DR: In this paper, a simulation method was used to obtain the virus load released by a regularly breathing or coughing individual including a range of microdroplet emissions, and the results support airborne transmission of SARS-CoV-2 bioaerosols in indoor air.

TL;DR: In this paper, the authors report the presence of suspended microplastics (MPs) within multiple homes over a 6-month period, with concentrations exceeding previous outdoor studies, and conclude that humans are exposed to significantly (1-45 times) higher concentrations, and ranges, of MPs within homes compared with the outdoor environment.

TL;DR: In this article, the authors conducted a modeling study of secondary organic aerosols (SOA) in the Yangtze River Delta (YRD) region of China to investigate the impact of emissions of intermediate-volatility organic compounds (IVOC) and the SOA modeling schemes.

TL;DR: Li et al. as discussed by the authors used positive matrix factorization (PMF) model to assess the health risks induced by PM-bound metals and highlighted that control of traffic emissions and heavy oil combustion on local and regional scales should be seriously considered by the Chinese government in reduction of health risk in Beijing.

TL;DR: In this article, the authors investigated the influence of season and temperature on the air pollution (PM10 and ozone)-mortality relationship, and found that ozone and PM10 mortality risks exhibit an increasing gradient between spring, summer and heat waves.