Abstract
Nitrogen dioxide (NO2) exposure has rarely been explored with respiratory outpatient visits in China. The Generalized Additive Model (GAM) is first employed to assess health related risk (RR) with NO2 and PM2.5 exposure in Tianjin during the winter of 2019/2020. The RR of NO2 exposure is 1.018 (95 % CI: 1.012–1.024) on lag 3 days, while that of fine particulate matter (PM2.5) exposure is 1.005 (95 % CI: 1.002–1.008) on lag 4 days per 10 μg m−3. The Weather Research and Forecasting model coupled to Chemistry (WRF-Chem) model is used to simulate the pollutant concentrations to calculate the total number of excess visits (EN) in the North China Plain (NCP) in the 2019/2020 winter. The EN of NO2 exposure is 0.97 million (95 % CI: 0.67, 1.27), while for PM2.5 exposure is 1.19 million (95 % CI: 0.50, 1.84). With the anthropogenic emission mitigation, the PM2.5 concentration has dropped by 40.3 μg m−3 on average in the NCP, but the NO2 concentration has rebounded by 1.8 μg m−3. The emissions mitigation reduces NO2-related EN by 0.76 million (95 % CI: 0.53–0.98) and PM2.5-related EN by 1.11 million (95 % CI: 0.48–1.69). The findings underscore that reducing NO2 emissions could yield more substantial health benefits.
| Original language | English |
|---|---|
| Article number | 139997 |
| Journal | Journal of Hazardous Materials |
| Volume | 498 |
| DOIs | |
| State | Published - 15 Oct 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- NO exposure
- Related risk
- Respiratory outpatient visits
- WRF-Chem model
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