Table 2:
Policy impact in Δμg/m2/yr under traditional method (% change vs. present) |
Percent change in policy impact (%) | ||||||
---|---|---|---|---|---|---|---|
Year of implementation | Traditional method | 2020 | 2025 | 2030 | 2035 | 2050 | mean |
Global average | |||||||
NP | −1.4 (−13.6%) | −33.6 | −48.5 | −62.7 | −76.2 | −114.1 | −14.2 |
MFR | −2.5 (−23.8%) | −19.1 | −27.5 | −35.5 | −43.2 | −64.6 | −8.0 |
Global legacy penalty (Mg) | 0.0 | 272 | 392 | 506 | 615 | 921 | 114.5 |
Maine, USA (A) | |||||||
NP | −2.9 (−15.3%) | −29.5 | −42.6 | −55.0 | −66.9 | −100.0 | −12.5 |
MFR | −4.9 (−25.8%) | −17.5 | −25.3 | −32.7 | −39.7 | −59.5 | −7.4 |
Ahmedabad, India (B) | |||||||
NP | +4.2 (+25.9%) | −12.7 | −18.4 | −23.7 | −28.9 | −43.2 | −5.4 |
MFR | −6.3 (−38.4%) | −8.6 | −12.4 | −16.0 | −19.5 | −29.2 | −3.6 |
Shanghai, China (C) | |||||||
NP | −6.3 (−55.1%) | −2.7 | −3.9 | −5.0 | −6.1 | −9.1 | −1.1 |
MFR | −7.8 (−68.3%) | −2.2 | −3.1 | −4.1 | −4.9 | −7.4 | −0.9 |
South Pacific (D) | |||||||
NP | −1.7 (−12.9%) | −38.3 | −55.3 | −71.4 | −86.9 | −130.1 | −16.2 |
MFR | −3.0 (−22.1%) | −22.8 | −32.8 | −42.4 | −51.6 | −77.2 | −9.6 |