Publications by authors named "Yong-jing Zhao"

In aquatic ecosystems, light penetrating the sediment surface in shallow lakes may regulate the internal phosphorus (P) release through benthic primary production, which subsequently affects oxidation, pH levels, and alkaline phosphatase activity in the upper sediment. To study the effects of light exposure on the P dynamics at the sediment-water interface under eutrophic conditions, a two-month mesocosm experiment was conducted in twelve cement tanks (1000 L each). The tanks were equipped with Light-Emitting Diode (LED) lights, and surface sediments collected from eutrophic Lake Nanhu (China) were exposed to four different light intensities (0, 50, 100, 200 μmol m s).

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Ambient particulate matter (PM) originates from a range of sources and differs in composition with respect to season, time of day, and particle size. In this study, ambient PM samples in the ultrafine and submicrometer fine range were tested for the potential to exacerbate a murine model of allergic airway inflammation when exposure occurs solely during allergic sensitization, but not during subsequent allergen challenge. Temporally resolved and size-segregated PM samples were used to understand how summer or winter, day or night, and ambient ultrafine and submicrometer fine particle size influence PM's ability to exacerbate allergic inflammation.

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Article Synopsis
  • The study was conducted at Peking University to measure elemental carbon (EC) and organic carbon (OC) in PM2.5 using two common methodologies over a period from January 2006 to April 2007.
  • The results indicated that the off-line quartz filter sampling method reported OC levels that were about twice as high as those measured by the in-situ online method, primarily due to the adsorption of volatile organic compounds on the filter causing measurement errors.
  • By incorporating a parallel plate organic denuder and backup filter into the off-line analysis, the study found that this improved method provided results that aligned closely with the in-situ measurements, reducing the errors previously encountered.
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