Does lockdown reduce air pollution? Evidence from 44 cities in northern China.

Ecological and human health hazards of heavy metals and polycyclic aromatic hydrocarbons (PAHs) in road dust of Isfahan metropolis, Iran.

Exposure to outdoor fine particulate matter (PM2.5) is a leading risk factor for mortality. We develop global estimates of annual PM2.5 concentrations and trends for 1998-2018 using advances in satellite observations, chemical transport modeling, and ground-based monitoring. Aerosol optical depths (AODs) from advanced satellite products including finer resolution, increased global coverage, and improved long-term stability are combined and related to surface PM2.5 concentrations using geophysical relationships between surface PM2.5 and AOD simulated by the GEOS-Chem chemical transport model with updated algorithms. The resultant annual mean geophysical PM2.5 estimates are highly consistent with globally distributed ground monitors (R2 = 0.81; slope = 0.90). Geographically weighted regression is applied to the geophysical PM2.5 estimates to predict and account for the residual bias with PM2.5 monitors, yielding even higher cross validated agreement (R2 = 0.90-0.92; slope = 0.90-0.97) with ground monitors and improved agreement compared to all earlier global estimates. The consistent long-term satellite AOD and simulation enable trend assessment over a 21 year period, identifying significant trends for eastern North America (-0.28 ± 0.03 μg/m3/yr), Europe (-0.15 ± 0.03 μg/m3/yr), India (1.13 ± 0.15 μg/m3/yr), and globally (0.04 ± 0.02 μg/m3/yr). The positive trend (2.44 ± 0.44 μg/m3/yr) for India over 2005-2013 and the negative trend (-3.37 ± 0.38 μg/m3/yr) for China over 2011-2018 are remarkable, with implications for the health of billions of people.

Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998-2018).

Identifying the spatial effects and driving factors of urban PM2.5 pollution in China

. To obtain a thorough knowledge of PM2. 5 chemical composition and its impact on aerosol optical properties across China, existing field studies conducted after the year 2000 are reviewed and summarized in terms of geographical, interannual and seasonal distributions. Annual PM2. 5 was up to 6 times the National Ambient Air Quality Standards (NAAQS) in some megacities in northern China. Annual PM2. 5 was higher in northern than southern cities, and higher in inland than coastal cities. In a few cities with data longer than a decade, PM2. 5 showed a slight decrease only in the second half of the past decade, while carbonaceous aerosols decreased, sulfate (SO42−) and ammonium (NH4+) remained at high levels, and nitrate (NO3−) increased. The highest seasonal averages of PM2. 5 and its major chemical components were typically observed in the cold seasons. Annual average contributions of secondary inorganic aerosols to PM2. 5 ranged from 25 to 48 %, and those of carbonaceous aerosols ranged from 23 to 47 %, both with higher contributions in southern regions due to the frequent dust events in northern China. Source apportionment analysis identified secondary inorganic aerosols, coal combustion and traffic emission as the top three source factors contributing to PM2. 5 mass in most Chinese cities, and the sum of these three source factors explained 44 to 82 % of PM2. 5 mass on annual average across China. Biomass emission in most cities, industrial emission in industrial cities, dust emission in northern cities and ship emission in coastal cities are other major source factors, each of which contributed 7–27 % to PM2. 5 mass in applicable cities. The geographical pattern of scattering coefficient (bsp) was similar to that of PM2. 5, and that of aerosol absorption coefficient (bap) was determined by elemental carbon (EC) mass concentration and its coating. bsp in ambient condition of relative humidity (RH)  =  80 % can be amplified by about 1.8 times that under dry conditions. Secondary inorganic aerosols accounted for about 60 % of aerosol extinction coefficient (bext) at RH greater than 70 %. The mass scattering efficiency (MSE) of PM2. 5 ranged from 3.0 to 5.0 m2 g−1 for aerosols produced from anthropogenic emissions and from 0.7 to 1.0 m2 g−1 for natural dust aerosols. The mass absorption efficiency (MAE) of EC ranged from 6.5 to 12.4 m2 g−1 in urban environments, but the MAE of water-soluble organic carbon was only 0.05 to 0.11 m2 g−1. Historical emission control policies in China and their effectiveness were discussed based on available chemically resolved PM2. 5 data, which provides the much needed knowledge for guiding future studies and emissions policies.

/pdf/a-review-of-current-knowledge-concerning-pm-2-5-chemical-2di0olj5sp.pdf

A review of current knowledge concerning PM 2. 5 chemical composition, aerosol optical properties and their relationships across China

Sources apportionment of PM2.5 in a background site in the North China Plain.

Airborne particulate polycyclic aromatic hydrocarbon (PAH) pollution in a background site in the North China Plain: Concentration, size distribution, toxicity and sources

Indoor/outdoor relationships and diurnal/nocturnal variations in water-soluble ion and PAH concentrations in the atmospheric PM2.5 of a business office area in Jinan, a heavily polluted city in China

The Yellow River Delta is a crucial background site that is located in a heavily polluted area in China. Carbonaceous aerosol concentrations were measured using 2.5-μm-diameter particle (PM2.5) samples collected from the Yellow River Delta, Shandong Province, China, from January 2011 to November 2011 by using the thermal/optical reflectance method. In the Yellow River Delta, the organic carbon (OC) concentration ranged from 0.74 to 27.51 μg/m3; the annual average concentration was 7.61 μg/m3. Moreover, the elemental carbon (EC) concentration ranged from 0.16 to 15.00 μg/m3; the annual average concentration was 2.98 μg/m3. In addition, the carbonaceous aerosols concentrations were the highest in winter and lowest in summer. The EC tracer method showed that the secondary OC (SOC) contribution to the total carbonaceous concentration tended to be higher in winter than in other seasons. An analysis of carbonaceous showed that haze was derived from different matter in different seasons, particularly haze in winter was dominated by OC, EC, and SOC. The Yellow River Delta can be considered a background site because of the strong correlation between OC and EC (R2 = 0.83–0.97). Furthermore, the OC/EC ratios for cold seasons (winter and spring) were higher than those for warm seasons (summer and autumn), suggesting that the OC originated from biomass burning in nearby villages in cold seasons. Back trajectories indicated that short-distance air mass from region area contribute most to the sample site. However, the highest carbon concentrations during haze days were related to the air mass travelled through the Bohai rin Rim except in summer haze episodes. Based on the entire sampling period, the air mass travelled through the polluted areas of Beijing and Hebei Province toward the Yellow River Delta may contribute most to carbonaceous species due to long-range transport.

/pdf/influence-of-seasonal-variation-and-long-range-transport-of-2nug32ocfd.pdf

Fei Yang

Papers

Sources apportionment of PM2.5 in a background site in the North China Plain.

Airborne particulate polycyclic aromatic hydrocarbon (PAH) pollution in a background site in the North China Plain: Concentration, size distribution, toxicity and sources

Indoor/outdoor relationships and diurnal/nocturnal variations in water-soluble ion and PAH concentrations in the atmospheric PM2.5 of a business office area in Jinan, a heavily polluted city in China

Influence of Seasonal Variation and Long-Range Transport of Carbonaceous Aerosols on Haze Formation at a Seaside Background Site, China