Ships generate large amounts of air pollutants, including nitrogen dioxide (NO2) that profoundly impacts air quality and poses serious threats to human health. It is crucial to understand the dynamics and drivers of ship-induced NO2 concentrations in China to support the prevention and control of fine particulate matter (PM2.5) and ozone (O3) pollution. This study built Generalized Additive Models (GAMs) to reveal the nonlinear effects of meteorological factors and ship emissions on ship-induced NO2 concentrations based on the Tropospheric Monitoring Instrument (TROPOMI) satellite data, AIS based emission model and meteorological data. A detrend analysis technique was applied to eliminate the NO2 background influenced by land-based emissions, leaving NO2 signals affected by shipping activities from 2019 to 2021 and within 200 nautical miles from the coastline of China. The detrended NO2 Vertical Column Density (VCD) exhibits a U-shaped distribution, with high values found in winter and low values in summer. The NO2 signals along major ship tracks and around primary port clusters are visible, with the measured NO2 downwind of its source in winter. The nonlinear effects of meteorological factors and ship emissions on ship-induced NO2 concentrations over three major shipping routes and two primary port clusters were explored. For every 10% increase in the monthly shipping emission, the detrended monthly NO2 VCD rises by 0.05%-1.53% in different regions, demonstrating the regional heterogeneity in the driving forces of ship-induced NO2 concentrations. The creation of site-specific and stricter emission reduction strategies is proposed for ship emission management. The results of this study can potentially offer a scientific foundation for air pollution prevention and control in the coastal areas of China.
Keywords: Coastal seas; Detrend analysis; Driving factors; Nitrogen dioxide; POMINO-TROPOMI; Spatiotemporal variations.
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