Temporal Characteristics of Ozone (O3) in the Representative City of the Yangtze River Delta: Explanatory Factors and Sensitivity Analysis

Int J Environ Res Public Health. 2022 Dec 22;20(1):168. doi: 10.3390/ijerph20010168.

Abstract

Ozone (O3) has attracted considerable attention due to its harmful effects on the ecosystem and human health. The Yangtze River Delta (YRD), China in particular has experienced severe O3 pollution in recent years. Here, we conducted a long-term observation of O3 in YRD to reveal its characteristics. The O3 concentration in autumn was the highest at 72.76 ppb due to photochemical contribution and local convection patterns, with its lowest value of 2.40 ppb in winter. O3 exhibited strong diurnal variations, showing the highest values in the early afternoon (15:00-16:00) and the minimum in 07:00-08:00, specifically, peroxyacetyl nitrate (PAN) showed similar variations to O3 but PAN peak usually occurred 1 h earlier than that of O3 due to PAN photolysis. A generalized additive model indicated that the key factors to O3 formation were NO2, PAN, and temperature. It was found that a certain temperature rise promoted O3 formation, whereas temperatures above 27 °C inhibited O3 formation. An observation-based model showed O3 formation was VOCs-limited in spring and winter, was NOx-limited in summer, and even controlled by both VOCs and NOx in autumn. Thus, prevention and control strategies for O3 in the YRD are strongly recommended to be variable for each season based on various formation mechanisms.

Keywords: GAM; OBM; Yangtze River Delta; ozone; peroxyacetyl nitrate; temporal variation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollutants* / analysis
  • China
  • Ecosystem
  • Environmental Monitoring
  • Humans
  • Ozone* / analysis
  • Rivers
  • Seasons

Substances

  • Ozone
  • Air Pollutants

Grants and funding

The APC was funded by the National Key Research and Development Program of China (2021YFF0600202 and 2022YFC3703500), the National Natural Science Foundation of China (41727805), the “Lead Goose” Research and Development Program of Zhejiang Province (2022C03073), the Key Research Program of Zhejiang Province (2021C03165), the Natural Sciences Foundation of Zhejiang Province (LZ20D050002), the Science and Technology Plan Special Program of Shaoxing City (2022B41006).