Table 1 Summary of the different steps taken to disentangle the various drivers.
From: Disentangling drivers of air pollutant and health risk changes during the COVID-19 lockdown in China
Driver number | Driver | Method | Time period from CNY’s day (X) | Year (Y) | Average contribution |
|---|---|---|---|---|---|
1 | CNY2020-mix CNY2015–2019 | [Obs. (YX)-CAMS(YX)]/CAMS(YX)*100% | −7 to +10 | 2020 2015–2019 | NO2(CNY2020-mix) = −54.0% O3(CNY2020-mix) = 49.3% NO2(CNY2015–2019) = −26.7% O3(CNY2015–2019) = 23.3% |
2 | CAP2018–2020 | [Obs. (YX) – CAMS(YX)]/CAMS(YX) *100% | −21 to −8 | 2018–2020 | NO2 = −15.7% O3 = 4.9% |
3 | CNY2020 | CNY2020-mix – CAP2018–2020 | −7 to +10 | 2020 | NO2 = −38.3% O3 = 44.3% |
4 | COVID-lockdown | CNY2020-mix – CNY2015–2019 – CAP2018–2020 | −7 to +10 | 2020 | NO2 = −11.6% O3 = 21.0% |
5 | Extended COVID-lockdown | [Obs. (YX)-CAMS(YX)]/CAMS(YX)*100% – CAP2018–2020 | +11 to +42 | 2020 | NO2 = −34.7% O3 = 22.7% |
6 | Met effect | [MLx(Met-2020) - MLx(Met-2015–2019)]/MLx(Met-2015–2019)]*100% | −1 to +42 | 2020 | NO2 = 7.8% O3 = −0.9% |
