Yufen Zhang

ORCID: 0000-0002-6848-940X
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About
Contact & Profiles
Research Areas
  • Air Quality and Health Impacts
  • Atmospheric chemistry and aerosols
  • Air Quality Monitoring and Forecasting
  • Vehicle emissions and performance
  • Atmospheric aerosols and clouds
  • Geology and Paleoclimatology Research
  • Physics of Superconductivity and Magnetism
  • Atmospheric Ozone and Climate
  • COVID-19 impact on air quality
  • Advanced Condensed Matter Physics
  • Geochemistry and Elemental Analysis
  • Magnetic and transport properties of perovskites and related materials
  • Coal and Its By-products
  • Geochemistry and Geologic Mapping
  • Environmental Quality and Pollution
  • Structural Load-Bearing Analysis
  • Semiconductor materials and devices
  • Water Quality Monitoring and Analysis
  • Geomagnetism and Paleomagnetism Studies
  • Remote Sensing and Land Use
  • Heavy metals in environment
  • Environmental and Agricultural Sciences
  • Geological and Geochemical Analysis
  • Thermochemical Biomass Conversion Processes
  • ZnO doping and properties

Nankai University
2015-2024

China Meteorological Administration
2021-2024

Minzu University of China
2024

China University of Geosciences
2008-2022

Novartis (United States)
2022

Liaocheng People's Hospital
2021

Shanxi Agricultural University
2018-2021

China University of Geosciences (Beijing)
2020

Hebei University of Technology
2020

China North Industries Group Corporation (China)
2020

Factor analysis utilizes the covariance of compositional variables to separate sources ambient pollutants like particulate matter (PM). However, meteorology causes concentration variations in addition emission rate changes. Conventional positive matrix factorization (PMF) loses information from data because these dilution variations. By incorporating ventilation coefficient, dispersion normalized PMF (DN-PMF) reduces effects. DN-PMF was applied hourly speciated composition a field campaign...

10.1021/acs.est.0c02776 article EN publisher-specific-oa Environmental Science & Technology 2020-07-16

Abstract. Aerosol acidity plays a key role in secondary aerosol formation. The high-temporal-resolution PM2.5 pH and size-resolved Beijing were calculated with ISORROPIA II. In 2016–2017, the mean (at relative humidity (RH) > 30 %) over four seasons was 4.5±0.7 (winter) 4.4±1.2 (spring) 4.3±0.8 (autumn) 3.8±1.2 (summer), showing moderate acidity. coarse-mode aerosols, Ca2+ played an important pH. Under heavily polluted conditions, more ions accumulated coarse mode, leading to of aerosols...

10.5194/acp-19-7939-2019 article EN cc-by Atmospheric chemistry and physics 2019-06-17

Many places on earth still suffer from a high level of atmospheric fine particulate matter (PM2.5) pollution. Formation pollution event or haze episode (HE) involves many factors, including meteorology, emissions, and chemistry. Understanding the direct causes key drivers behind HE is thus essential. Traditionally, this done via chemical transport models. However, substantial uncertainties are introduced into model estimation when there significant changes in emissions inventory due to...

10.1021/acs.estlett.1c00865 article EN Environmental Science & Technology Letters 2022-01-04

The purpose of this study is to characterize heavy metals in ambient PM10 (particles with aerodynamic diameter below 10 µm) and PM2.5 2.5 particles a typical integrated iron steel industry zone (HG) background site (ZWY) during February 2011 January 2012 the Yangtze River Delta (YRD) region, China. Twelve elements were measured their levels, size distribution sources. At two sampling sites, Fe was found as dominated metal total detected both particle sizes, followed by Zn Pb. They regarded...

10.4209/aaqr.2014.09.0226 article EN cc-by Aerosol and Air Quality Research 2014-11-26

Abstract. Based on published literature and typical profiles from the Nankai University source library, a total of 3326 chemical main primary sources ambient particulate matter (PM) across China 1987 to 2017 are investigated reviewed trace evolution their components identify influencing factors concerning evolution. In general, varied with respect influenced by different sampling methods. The most complicated likely attributed coal combustion (CC) industrial emissions (IE). vehicle (VE)...

10.5194/acp-19-3223-2019 article EN cc-by Atmospheric chemistry and physics 2019-03-12

Abstract Responding to the 2020 COVID‐19 outbreak, China imposed an unprecedented lockdown producing reductions in air pollutant emissions. However, driven pollution changes have not been fully quantified. We applied machine learning quantify effects of meteorology on surface quality data 31 major Chinese cities. The meteorologically normalized NO 2 , O 3 and PM 2.5 concentrations changed by −29.5%, +31.2%, −7.0%, respectively, after began. part this effect was also associated with emission...

10.1029/2021gl093403 article EN cc-by-nc-nd Geophysical Research Letters 2021-06-02

Eight years of data on haze and visibility (2003–2010) one year (2010) surface meteorological elements (relative humidity, wind speed, air temperature), the concentrations pollutants (PM2.5, SO2, NO2 O3) measured each hour day were analyzed using correlation analysis to investigate main factors influencing in Hangzhou, China. The occurrence hazy weather has become more frequent over past eight appears about 160 days per year. during was spring winter less summer autumn. Low occurred morning,...

10.4209/aaqr.2011.04.0052 article EN cc-by Aerosol and Air Quality Research 2011-01-01

Meteorological and aerosol data were measured at the atmospheric boundary layer observation station in Tianjin, China, analyzed to study effects of mass, composition, size distributions on visibility short-wave radiation flux. The results show that fine particles played important roles controlling Tianjin. major contributors light extinction coefficients included sulfate (28.7%), particulate organic matter (27.6%), elemental carbon (19.2%), nitrate (6.1%). In addition measurement...

10.4209/aaqr.2011.05.0073 article EN cc-by Aerosol and Air Quality Research 2012-01-01

<strong class="journal-contentHeaderColor">Abstract.</strong> To evaluate the environmental effectiveness of control measures for atmospheric pollution in Shijiazhuang, China, a large-scale controlling experiment emission sources pollutants (i.e. temporary action, TECA) was designed and implemented during 1 November 2016 to 9 January 2017. Compared no-control action heating period (NCAHP), under unfavourable meteorological conditions, mean concentrations PM<sub>2.5</sub>, PM<sub>10</sub>,...

10.5194/acp-18-7019-2018 article EN cc-by Atmospheric chemistry and physics 2018-05-23
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