Publications by authors named "Puzhen Zhang"
Evidence on the effects of fine particulate matter (PM) constituents and sources on kidney injury is limited. We designed a panel study with 4 repeated measurements to investigate the association of acute exposure to chemical constituents and source-specific PM with kidney function and renal tubular injury. We further evaluated the modifying effect of Nrf2 promoter polymorphism.
View Article and Find Full Text PDFDuring the outbreak of the COVID-19, the change in the way of people's living and production provided the opportunity to study the influence of human activity on Volatile organic compounds (VOCs) in the atmosphere. Therefore, this study analyzed VOCs concentration and composition characteristics in urban area of Beijing from 2019 to 2020. The results showed that the concentration of VOCs in Chaoyang district in 2020 was 73.
View Article and Find Full Text PDFAmbient black carbon variations and emission characteristics of typical Chinese vessels in the Yangtze River Delta, China.
Environ Sci Pollut Res Int
October 2023
Article Synopsis
- * During fishing moratoriums, BC concentrations were notably lower compared to normal periods, indicating that vessel emissions heavily influence regional air quality, especially from fossil fuel combustion.
- * Analysis of vessel emissions in Dianshan Lake and Taipu River identified key pollutants, with small trawlers producing a higher proportion of elemental carbon; diagnostic ratios were provided to better identify the source of emissions linked to fuel combustion.
Article Synopsis
- Field studies in 2019 across Beijing, Baoding, and Shanghai revealed that VOC concentrations were highest in Beijing, particularly during winter, with alkenes being the most reactive species contributing significantly to ozone formation.
- The primary source of VOCs was vehicular exhaust, followed by industrial manufacturing in Baoding and Shanghai, and solvent utilization in Beijing.
- Risk assessments indicated that while acrolein posed a significant non-carcinogenic risk, 1,2-dibromoethane in Beijing presented a considerable carcinogenic threat.
A total of 98 samples were collected to analyze the seasonal variation and source apportionment of carbonaceous components, especially brown carbon (BrC), of PMin Luoyang during 2018-2019. The concentrations of organic carbon (OC) and elemental carbon (EC) ranged from (7.04±1.
View Article and Find Full Text PDFTo clarify the chemical characteristics, source contributions, and health risks of pollution events associated with high PM in typical industrial areas of North China, manual sampling and analysis of PM were conducted in the spring, summer, autumn, and winter of 2019 in Pingyin County, Jinan City, Shandong Province. The results showed that the total concentration of 29 components in PM was 53.4 ± 43.
View Article and Find Full Text PDFTo study the pollution features and underlying mechanism of PM in Luoyang, a typical developing urban site in the central plain of China, 303 PM samples were collected from April 16 to December 29, 2015 to analyze the elements, water soluble inorganic ions, organic carbon and elemental carbon. The annual mean concentration of PM was 142.3 μg/m, and 75% of the daily PM concentrations exceeded the 75 μg/m.
View Article and Find Full Text PDFWe study the seasonal variations of C ratios in aerosol fine particulate matter (PM) using 91 PM samples collected from Xinxiang, China, during the summer and winter in 2017. Mass concentrations of total carbon (TC), water soluble ions, and stable carbon isotope ratios (C) were determined. The mean concentrations of TC in the summer and winter were 11.
View Article and Find Full Text PDFArticle Synopsis
- The study measured air pollution levels and sources of particulate matter (PM) in Zhengzhou and Xinxiang over 30 days during winter 2016.
- Mass concentrations of PM were significantly high in both cities, with mean levels around 223.87 μg/m³ in Xinxiang and 226.67 μg/m³ in Zhengzhou.
- Key contributors to PM included biomass combustion in Xinxiang and coal combustion along with traffic emissions in Zhengzhou, identified through source analysis techniques.