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Impacts of ENSO diversity on wintertime PM2.5 pollution in four Chinese megacities

 

Since 2013, China has implemented a series of emission reduction policies, such as the “Clean Air Action” and the “Blue Sky Protection Campaign”. Accordingly, the concentrations of air pollutants have generally decreased significantly. However, PM2.5 pollution still occurs in China under unfavorable weather conditions. El Nino–Southern Oscillation (ENSO) is the strongest signal that modulates the interannual variations in the ocean–atmosphere system near the equator. It oscillates between its warm period (El Nino) and cold period (La Nina) and can significantly influence aerosol concentrations.

 

Recently, a team lead by Prof. Yang Yang from Nanjing University of Information Science and Technology studied the variability of wintertime PM2.5 concentrations in four megacity clusters in China during ENSO events from 2014 to 2021.

 

Their paper reveals that the wintertime PM2.5 concentrations in the Beijing–Tianjin–Hebei and Fenwei Plain regions during El Nino years are higher than those during La Nina years, which can be explained by the anomalous winds during ENSO events. In the Pearl River Delta region, PM2.5 concentrations decrease in El Nino relative to La Nina years owing to the enhanced precipitation in El Nino events. In the Yangtze River Delta region, the comprehensive effects of wind and precipitation anomalies lead to the unpredictability of the impacts of ENSO on PM2.5.

 

“ENSO’s modulation of PM2.5 can be stronger than the year-by-year emission changes,” says Prof. Yang. The results have been published in Atmospheric and Oceanic Science Letters.

 

 ENSO impacts on wintertime PM2.5 pollution in megacity clusters in China (Credit by Biyin Xie).

 

 

Citation:

Biyin Xie, Yang Yang, Pinya Wang, Hong Liao, 2022. Impacts of ENSO on wintertime PM2.5 pollution over China during 2014–2021. Atmospheric and Oceanic Science Letters, https://doi.org/10.1016/j.aosl.2022.100189.

Link:

https://doi.org/10.1016/j.aosl.2022.100189