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Dive into the research topics where Qingyang Liu is active.

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Featured researches published by Qingyang Liu.


Environmental Science & Technology | 2014

Oxidative potential and inflammatory impacts of source apportioned ambient air pollution in Beijing

Qingyang Liu; Jill Baumgartner; Yuanxun Zhang; Yanju Liu; Yongjun Sun; Meigen Zhang

Air pollution exposure is associated with a range of adverse health impacts. Knowledge of the chemical components and sources of air pollution most responsible for these health effects could lead to an improved understanding of the mechanisms of such effects and more targeted risk reduction strategies. We measured daily ambient fine particulate matter (<2.5 μm in aerodynamic diameter; PM2.5) for 2 months in peri-urban and central Beijing, and assessed the contribution of its chemical components to the oxidative potential of ambient air pollution using the dithiothreitol (DTT) assay. The composition data were applied to a multivariate source apportionment model to determine the PM contributions of six sources or factors: a zinc factor, an aluminum factor, a lead point factor, a secondary source (e.g., SO4(2-), NO3(2-)), an iron source, and a soil dust source. Finally, we assessed the relationship between reactive oxygen species (ROS) activity-related PM sources and inflammatory responses in human bronchial epithelial cells. In peri-urban Beijing, the soil dust source accounted for the largest fraction (47%) of measured ROS variability. In central Beijing, a secondary source explained the greatest fraction (29%) of measured ROS variability. The ROS activities of PM collected in central Beijing were exponentially associated with in vivo inflammatory responses in epithelial cells (R2=0.65-0.89). We also observed a high correlation between three ROS-related PM sources (a lead point factor, a zinc factor, and a secondary source) and expression of an inflammatory marker (r=0.45-0.80). Our results suggest large differences in the contribution of different PM sources to ROS variability at the central versus peri-urban study sites in Beijing and that secondary sources may play an important role in PM2.5-related oxidative potential and inflammatory health impacts.


Scientific Reports | 2016

Temporal variations of black carbon during haze and non-haze days in Beijing

Qingyang Liu; Tangming Ma; Michael R. Olson; Yanju Liu; Tingting Zhang; Yu Wu; James J. Schauer

Black carbon (BC) aerosol has been identified as one of key factors responsible for air quality in Beijing. BC emissions abatement could help slow regional climate change while providing benefits for public health. In order to quantify its variations and contribution to air pollution, we systematically studied real-time measurements of equivalent black carbon (eBC) in PM2.5 aerosols at an urban site in Beijing from 2010 to 2014. Equivalent black carbon (eBC) is used instead of black carbon (BC) for data derived from Aethalometer-31 measurement. Equivalent BC concentrations showed significant temporal variations with seasonal mean concentration varying between 2.13 and 5.97 μg m−3. The highest concentrations of eBC were found during autumn and winter, and the lowest concentrations occurred in spring. We assessed the temporal variations of eBC concentration during haze days versus non-haze days and found significantly lower eBC fractions in PM2.5 on haze days compared to those on non-haze days. Finally, we observed a clear inverse relationship between eBC and wind speed. Our results show that wind disperses PM2.5 more efficiently than eBC; so, secondary aerosols are not formed to the same degree as primary aerosols over the same transport distance during windy conditions.


Environmental Science and Pollution Research | 2014

Characterization of springtime airborne particulate matter-bound reactive oxygen species in Beijing

Qingyang Liu; Yuanxun Zhang; Yanju Liu; Meigen Zhang

Epidemiologic studies have suggested that particulate matter (PM)-associated adverse health effects are related to particle composition. To study the toxicological characteristics of dust storm, airborne PM10 was collected at two sites in Beijing from March to May 2012. The production of reactive oxygen species (ROS), quantified by dithiothreitol (DTT), was used to measure the PM-induced oxidative potential. Two dust storm (DS) samples were monitored during the sampling period: one happened on March 28th (DS1) and the other one was on April 28th (DS2). The backward trajectory results showed that both events originated from Inner Mongolia and Mongolia, respectively. The increased trends of ROS activities during the dust storm episode in PM10 were observed for all the dust storms owing to a higher concentration of water-soluble components for all the PM10 samples compared to nondust storm ones. Interestingly, the correlations between DTT consumption with water-soluble species yield interesting results about the spatial variability of redox activity between sites. In particular, a tracer of soil suspension, namely Fe, contributed the most fraction to ROS variability in the urban background site. Water-soluble organic carbon (WSOC) made the highest contribution to ROS variability, suggesting that vehicle emission might be important driving factors of the PM-induced oxidative stress in the urban site.


Archive | 2017

Local-acting Air Pollutant Emissions from Road Vehicles

Qingyang Liu; James J. Schauer

This chapter reviews the local impacts of air pollution emissions from roadways on air quality, human health, and the natural and built environments. These impacts are a global issue affecting urban areas around the world, including developed and developing nations, emphasizing the need to reduce emissions from roadway transport sectors around the world. Air pollutants emitted from vehicles, including particulate matter, nitrogen oxides, carbon monoxide, and hydrocarbons, are reactive (i.e. they have larger impacts on human health per unit of emissions compared to many other air pollution sources due to the proximity of the emissions and the chemical and physical natures of the emissions). These impacts affect public health, visibility, material damage, the surrounding ecosystems, and the quality of life for populations living near roadways. Although roadway emissions vary from region to region depending on the state of local fuel quality, vehicle technology, and emissions standards, general trends of roadway emissions and roadway impacts are summarized in this chapter. This summary includes the chemical composition of emissions from roadways, the contribution of mobile sources to local and regional air quality, the impacts on cultural heritage, and the health impacts of mobile sources. Existing regulations and projected trends in national standards for vehicle emissions are discussed and the implications of roadways for local environments are considered.


Atmospheric Environment | 2014

Chemical characteristics and source apportionment of PM10 during Asian dust storm and non-dust storm days in Beijing

Qingyang Liu; Yan-Ju Liu; Jianxin Yin; Meigen Zhang; Tingting Zhang


Aerosol and Air Quality Research | 2014

Seasonal Variation of Physical and Chemical Properties in TSP, PM10 and PM2.5 at a Roadside Site in Beijing and Their Influence on Atmospheric Visibility

Yan-Ju Liu; Tingting Zhang; Qingyang Liu; Renjian Zhang; Zhen-Quan Sun; Meigen Zhang


Building and Environment | 2013

Personal exposure and source characteristics of carbonyl compounds and BTEXs within homes in Beijing, China

Qingyang Liu; Yanju Liu; Meigen Zhang


Atmospheric Environment | 2016

Source apportionment of Beijing air pollution during a severe winter haze event and associated pro-inflammatory responses in lung epithelial cells

Qingyang Liu; Jill Baumgartner; Yuanxun Zhang; James J. Schauer


Bulletin of Environmental Contamination and Toxicology | 2012

Mercury and Cadmium Contamination in Traffic Soil of Beijing, China

Qingyang Liu; Yanju Liu; Meigen Zhang


Aerosol and Air Quality Research | 2014

Source Apportionment of Personal Exposure to Carbonyl Compounds and BTEX at Homes in Beijing, China

Qingyang Liu; Meigen Zhang; Yanju Liu

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Meigen Zhang

Chinese Academy of Sciences

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Yuanxun Zhang

Chinese Academy of Sciences

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James J. Schauer

University of Wisconsin-Madison

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Renjian Zhang

Chinese Academy of Sciences

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Michael R. Olson

University of Wisconsin-Madison

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Jianxin Yin

University of Birmingham

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