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Abstract
This study presents the results of the ERTDF S-12 project for searching an optimum reduction scenario of the short-lived climate pollutants (SLCPs) to simultaneously mitigate the global warming and environmental problems. The study utilized REAS emission inventory, Asia-Pacific Integrated Model-Enduse (AIM/Enduse), MIROC6 climate model, NICAM non-hydrostatic atmospheric model, and models for estimating environmental damages to health, agriculture, and flood risks. Results of various scenario search indicate that it is difficult to attain simultaneous reduction of global warming and environmental damages, unless a significant reduction of CO2 is combined with carefully designed SLCP reductions for CH4, SO2, black carbon (BC), NOx, CO, and VOCs. In this scenario design, it is important to take into account the impact of small BC reduction to the surface air temperature and complex atmospheric chemical interactions such as negative feedback between CH4 and NOx reduction. We identified two scenarios, i.e., B2a and B1c scenarios which combine the 2D-scenario with SLCP mitigation measures using End-of-Pipe (EoP) and new mitigation technologies, as promising to simultaneously mitigate the temperature rise by about 0.33 °C by 2050 and air pollution in most of the globe for reducing damages in health, agriculture, and flood risk. In Asia and other heavy air pollution areas, health-care measures have to be enhanced in order to suppress the mortality increase due to high temperature in hot spot areas caused by a significant cut of particulate matter. For this situation, the B1b scenario is better to reduce hot spot areas and high-temperature damage to the public health.
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1 National Institute for Environmental Studies, Ibaraki, Japan (GRID:grid.140139.e) (ISNI:0000 0001 0746 5933)
2 Kyushu University, Research Institute for Applied Mechanics, Fukuoka, Japan (GRID:grid.177174.3) (ISNI:0000 0001 2242 4849)
3 The University of Tokyo, IIS Chiba Experimental Station, Chiba, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X)
4 Central Research Institute of Electric Power Industry, Chiba, Japan (GRID:grid.417751.1) (ISNI:0000 0001 0482 0928)
5 Kyoto University, Department of Environmental Engineering, Graduate School of Engineering, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033)
6 Asia Center for Air Pollution Research, Atmospheric Research Department, Niigata, Japan (GRID:grid.471416.1)
7 Meteorological Research Institute, Nagamine, Tsukuba, Japan (GRID:grid.237586.d) (ISNI:0000 0001 0597 9981)
8 Kindai University, Faculty of Sociology Department of Environment, Higashiosaka, Japan (GRID:grid.258622.9) (ISNI:0000 0004 1936 9967)
9 Nagasaki University School of Tropical Medicine and Global Health, Nagasaki, Japan (GRID:grid.174567.6) (ISNI:0000 0000 8902 2273)
10 Nagoya University, Graduate School of Environmental Studies, Nagoya, Japan (GRID:grid.27476.30) (ISNI:0000 0001 0943 978X); Japan Agency for Marine-Earth Science and Technology, Research Institute for Global Change, Yokohama, Japan (GRID:grid.410588.0) (ISNI:0000 0001 2191 0132)
11 Japan Agency for Marine-Earth Science and Technology, Research Institute for Value-Added-Information Generation, Yokohama, Japan (GRID:grid.410588.0) (ISNI:0000 0001 2191 0132)
12 The University of Tokyo, Atmosphere and Ocean Research Institute, Chiba, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X)
13 Remote Sensing Technology Center of Japan, Tokyo, Japan (GRID:grid.26999.3d)
14 Kyoto University, Graduate School of Global Environmental Studies, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033)
15 Japan Agency for Marine-Earth Science and Technology, Research Institute for Global Change, Yokohama, Japan (GRID:grid.410588.0) (ISNI:0000 0001 2191 0132)
16 Nanjing University of Information Science & Technology, School of Geographical Science, Nanjing, China (GRID:grid.260478.f)
17 China University of Geosciences, Department of Atmospheric Science, Wuhan, China (GRID:grid.503241.1) (ISNI:0000 0004 1760 9015)