4.8 Article

Evolution of Ozone Pollution in China: What Track Will It Follow?

期刊

ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷 57, 期 1, 页码 109-117

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AMER CHEMICAL SOC
DOI: 10.1021/acs.est.2c08205

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ozone pollution; diagnosis approach; ozone formation regime; ozone-precursor relationship; air pollution mitigation

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Increasing surface ozone (O3) concentrations has become a major air pollution problem in urban regions worldwide. This study proposes a new approach (EKMA) to diagnose the ozone formation regime using easily accessible O3 and NO2 observation datasets. By mapping the monitored data on a modeling diagram, the ozone formation regime and historical evolution of precursors can be illustrated. The findings show that for most urban regions in China, the ozone formation is currently associated with a VOC-limited regime.
Increasing surface ozone (O3) concentrations has emerged as a key air pollution problem in many urban regions worldwide in the last decade. A longstanding major issue in tackling ozone pollution is the identification of the O3 formation regime and its sensitivity to precursor emissions. In this work, we propose a new transformed empirical kinetic modeling approach (EKMA) to diagnose the O3 formation regime using regulatory O3 and NO2 observation datasets, which are easily accessible. We demonstrate that mapping of monitored O3 and NO2 data on the modeled regional O3-NO2 relationship diagram can illustrate the ozone formation regime and historical evolution of O3 precursors of the region. By applying this new approach, we show that for most urban regions of China, the O3 formation is currently associated with a volatile organic compound (VOC)-limited regime, which is located within the zone of daytime-produced O3 (DPO3) to an 8h-NO2 concentration ratio below 8.3 ([DPO3]/[8h-NO2] <= 8.3). The ozone production and controlling effects of VOCs and NOx in different cities of China were compared according to their historical O3-NO2 evolution routes. The approach developed herein may have broad application potential for evaluating the efficiency of precursor controls and further mitigating O3 pollution, in for where studies are unavailable.

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