Ping Wang

Ping Wang


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 March 2022 in Science of The Total Environment
Verified
Journal Article
Closed access
QZQian Zhang
Qian Zhang
ZLZiyi Li
Ziyi Li
PWPeng Wei
Peng Wei
Qiyuan WangQiyuan Wang
Qiyuan Wang
JTJie Tian
Jie Tian
JCJunji Cao
Junji Cao

31 October 2016 in Acta Geologica Sinica - English Edition
Verified
Journal Article
Closed access
PDF file
GQGengbiao Qiao
Gengbiao Qiao
PWPing Wang
Ping Wang
XZXiao Jian Zhao
Xiao Jian Zhao

30 April 2020 in Journal of Atmospheric Science Research
Verified
Journal Article
Open access
PWPing Wang
Ping Wang
CHChao Han
Chao Han
YZYouzhi Zhao
Youzhi Zhao
WDWenci Ding
Wenci Ding
ZLZengzeng Li
Zengzeng Li
Numbers of real-time data (E-BAM) of PM2.5 were collected in the period from Jan 8th 2012 to Jan 1st 2013 at the laboratory of Tropical Ocean University (Sanya, China). The average mass concentration was 19.7 μg/m³. The highest 40.5 μg/m³ in October compared to the lowest 14.1 μg/m³ in July. From a seasonal perspective, the average PM2.5 mass concentration in fall and winter are relatively higher than that in both spring and summer. On the basis of satellite map of fire points and backward trajectories of the air masses, we primarily deduced that the PM2.5 in Sanya may be caused by the biomass burning and industrial pollutants from the area of Pearl River Delta of China and the Indo-China peninsula (e.g. Vietnam, Laos).

30 November 2023 in Research Square
Verified
Preprint
Open access
PDF file
DHDing Huang
Ding Huang
PWPing Wang
Ping Wang
FLFang Lu
Fang Lu
YZYouzhi Zhao
Youzhi Zhao
WDWenci Ding
Wenci Ding
JDJiaxin Du
Jiaxin Du
This article is based on the hourly data of O3 and NO2 in Sanya City in 2019, various collected meteorological data, and online monitoring of VOCS major species data to analyze the characteristics of ozone pollution changes and source apportionment in Sanya City. The results indicate that 1) the daily variation characteristics of ozone pollution in Sanya City conform to the typical characteristics of ozone photochemical pollution events and 2) the EKMA curve indicates that Sanya City as a whole belongs to a NOX-sensitive area. The OH consumption rate (LOH) and ozone generation potential (OFP) indicate that the key active components of VOCS are mainly isoprene, ethylene, n-butane, propane, etc. The corresponding main potential sources of emissions include combustion emissions, solvent volatilization, and automotive exhaust emissions. 3) The O3 emission reduction plan is to reduce the ozone concentration from 180 µg·m− 3 to 158 µg·m− 3, corresponding to a 25% and 20% reduction in the concentrations of the two main precursors, NOX and VOCS, respectively. This article provides scientific support for the problem of ozone photochemical pollution in Sanya City.

25 May 2026 in Aerosol Science and Engineering
Verified
Journal Article
Closed access
PDF file
WDWenci Ding
Wenci Ding
JWJin Wang
Jin Wang
YZYouzhi Zhao
Youzhi Zhao
HLHuikun Liu
Huikun Liu
GNGuangshui Na
Guangshui Na
PWPing Wang
Ping Wang

19 March 2024 in Aerosol Science and Engineering
Verified
Journal Article
Closed access
PDF file
DHDing Huang
Ding Huang
PWPing Wang
Ping Wang
FLFang Lu
Fang Lu
YZYouzhi Zhao
Youzhi Zhao
WDWenci Ding
Wenci Ding
JDJiaxin Du
Jiaxin Du