Heatwave exacerbates air pollution in China through intertwined climate-energy-environment interactions  

热浪加剧中国空气污染:气候、能源与环境的交织机制

作　　者：Tianshu Chen Tao Wang Likun Xue Guy Brasseur 陈天舒;王韬;薛丽坤;Guy Brasseur

机构地区：[1]Department of Civil and Environmental Engineering,The Hong Kong Polytechnic University,Hong Kong 999077,China [2]Environment Research Institute,Shandong University,Qingdao 266237,China [3]Big Data Research Center for Ecology and Environment,Shandong University,Qingdao 266237,China [4]Environmental Modelling Group,Max Planck Institute for Meteorology,Hamburg 20146,Germany [5]National Center for Atmospheric Research,Boulder,CO 80307,USA

出　　处：《Science Bulletin》2024年第17期2765-2775,共11页科学通报（英文版）

基　　金：supported by Hong Kong Research Grants Council (T24-504/17-N);National Natural Science Foundation of China (41922051);National Key Research and Development Program of China (2022YFC3701101)。

摘　　要：Climate change is increasing the frequency and intensity of heatwaves, raising concerns about their detrimental effects on air quality. However, a role for heatwave-human-environment interactions in air pollution exacerbation has not been established. In the summer of 2022, record-breaking heatwaves struck China and Europe. In this study, we use integrated observational data and machine learning to elucidate the formation mechanism underlying one of the most severe ozone pollution seasons on record in central eastern China, an area that encompasses approximately half of China's total population and sown land.Our findings reveal that the worsened ozone and nitrogen dioxide pollution resulted from a mismatch between energy demand and supply, which was driven by both heatwaves and energy policy-related factors. The observed adverse heatwave-energy-environment feedback loop highlights the need for the diversification of clean energy sources, more resilient energy structures and power policies, and further emission control to confront the escalating climate challenge in the future.

关 键 词：Heatwaves Air pollution OZONE ENERGY Machine learning 

分 类 号：P467[天文地球—大气科学及气象学] X51[环境科学与工程—环境工程]