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. Author manuscript; available in PMC: 2019 Nov 20.
Published in final edited form as: Environ Sci Technol. 2018 Nov 8;52(22):12968–12977. doi: 10.1021/acs.est.8b04542

Table 2:

Policy impact on local Hg deposition (Δμg/m2/yr, percent in parentheses) assuming an immediate implementation and no legacy penalty (traditional method). Policy impact is calculated as the difference in deposition between FUTURE and BASE simulations. The following columns give the percent change in policy impact depending on year of implementation, i.e., length of the delay. The percent change in policy impact is calculated according to Equation (1). The mean percent change in policy impact is the average percent change due to a near-term (2020-2035) 5-year delay, calculated according to Equation (2). New Policy (NP) and Maximum Feasible Reduction (MFR) refer to future global emissions scenarios developed by Pacyna et al.9.

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