Researchers find mechanism that ties human-caused air pollution to catastrophic floods in southwest China
Following the trail of the 2013 Sichuan flood in southwest China, researchers from Pacific Northwest National Laboratory and their collaborators found that heavy human-caused air pollution over the Sichuan Basin just upwind contributed to the catastrophic flood. Through a series of events they call "aerosol-enhanced conditional instability," tiny particles from heavy air pollution absorb heat from the sun, stabilize the atmosphere, and suppress local storms during the daytime. However, this allows the heavy moist and now warm air to be transported downwind to mountainous areas where it is lifted causing extreme nighttime precipitation. The research was published in Geophysical Research Letters and highlighted by Nature.
"We found a mechanism that could escalate a normal storm event to a severe weather event, particularly in downwind mountainous areas where storms can be triggered by the topography," said Dr. Jiwen Fan, PNNL atmospheric scientist and lead author of the study.
Heavy air pollution has increased rapidly in regions such as China and India, where economic growth and urban populations are booming. Researchers have observed increases in the frequency and intensity of regional floods and droughts over the past few decades. This study establishes a clear connection between severe air pollution and extreme weather events. While this finding covers Southeast China, the mechanism that triggers the extreme weather events would apply to other regions in developing countries with similar topography and pollution levels. Even though the flood was the worst in 50 years in Sichuan, the weather forecast missed it, potentially because the pollution effect discovered in this study is not included in weather forecast models. The significance of human-caused pollution emissions to modify weather and climate is the important finding of this study. Understanding that reducing pollution locally in the Sichuan Basin would substantially alleviate downwind floods has important socioeconomic implications and is especially useful for policy-makers.
Led by PNNL, the researchers carried out model simulations of the catastrophic flood event and associated sensitivity simulations. They conducted ensemble simulations at a convection-permitting scale (3 km) using the improved chemistry version of the Weather Research and Forecasting Model (WRF-Chem), a regional-scale model.
The group is exploring aerosol impacts on other mountainous regions in China to better understand how they may vary in different regions and different meteorological conditions.