Study finds climate-driven greening is reshaping East Asia's air pollution
The effects of climate change extend far beyond rising temperatures. As forests and other vegetation respond to a warming world, they also change the amount of biogenic emissions released into the atmosphere, influencing the formation of ozone (O3) and fine particulate pollution. Yet many atmospheric chemistry models still estimate these emissions using vegetation data from 2003, despite major…
A recent study reveals that climate-driven greening is significantly reshaping air pollution patterns in East Asia, according to research led by Pusan National University in South Korea. The study highlights how updated vegetation information, based on recent satellite observations, can dramatically alter estimates of biogenic emissions and air quality.
Plants release volatile organic compounds (BVOCs) like isoprene and monoterpenes, which react in the atmosphere to form ground-level ozone (O₃) and biogenic secondary organic aerosols (BSOA). These emissions are directly influenced by vegetation amount and type; thus, changes in forests and plant growth can directly impact air quality.
The researchers utilized the WRF-Chem atmospheric chemistry model paired with the MEGAN biogenic emissions model. By swapping the default 2003 vegetation dataset with 2024 satellite-derived observations, they isolated the impact of updated vegetation data. Satellite data showed an overall increase in vegetation across East Asia, with stronger greening patterns in parts of China and localized declines in Japan.
These vegetation shifts altered modeled O₃ and BSOA concentrations, with the most significant increases occurring in suburban areas, where the balance between vegetation changes and nitrogen oxide (NOₓ) levels favored secondary pollutant formation. Urban and rural areas showed smaller responses due to limited vegetation changes and low NOₓ levels, respectively.
The study underscores the importance of keeping vegetation datasets current as climate change continues to reshape East Asian ecosystems, improving the accuracy of atmospheric chemistry models. The researchers emphasize that incorporating current satellite observations into these models could enhance operational air quality forecasting and provide more reliable scientific information for air quality management in a changing environmental context.
The study focused on August 2024, a season with peak vegetation activity, and future research will explore additional seasons and longer periods to better understand the long-term effects of changing vegetation on air quality.
Written by urgent.news from Phys.org's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
This story
This is one outlet's version. Read the fullest account.
