https://www.mdpi.com/2073-4441/15/6/1089

*Authors*
by
Mou Leong Tan <https://sciprofiles.com/profile/57186>,
Liew Juneng <https://sciprofiles.com/profile/633825>,
Heri Kuswanto <https://sciprofiles.com/profile/536650>,
Hong Xuan Do <https://sciprofiles.com/profile/1096754>
 and
Fei Zhang <https://sciprofiles.com/profile/1426169>
 8

*Water* 2023, *15*(6), 1089; https://doi.org/10.3390/w15061089

*13 March 2023*

*Abstract*
Solar radiation management (SRM), or solar geoengineering, reduces the
earth’s temperature by reflecting more sunlight back to space. However, the
impacts of SRM remain unclear, making it difficult to project the benefits
as well as consequences should this approach be adopted to combat climate
change. To provide novel insight into the SRM impact on hydro-climatic
extremes in Southeast Asia, this study conducts a simulation experiment for
the Kelantan River Basin (KRB) in Malaysia by incorporating three
bias-corrected Stratospheric Aerosol Geoengineering Large Ensemble (GLENS)
members into the Soil and Water Assessment Tool Plus (SWAT+) model. The
study found that SRM practices could generate substantial cooling effects
on regional temperatures, leading to a reduction in projected annual
precipitation and monthly precipitation during the flooding season (from
November to mid-January) under SRM relative to the Representative
Concentration Pathway 8.5 (RCP8.5) scenario. In addition, SRM could reduce
the number of days with heavy precipitation as well as the intensity of
maximum daily precipitation as compared to RCP8.5, during the 2045–2064 and
2065–2084 periods, leading to a reduction in high flows. Nevertheless,
under SRM impacts, the driest months from February to May would experience
comparable decreases in monthly precipitation and streamflow.
Keywords:
climate change <https://www.mdpi.com/search?q=climate+change>; solar
radiation management
<https://www.mdpi.com/search?q=solar+radiation+management>; geoengineering
<https://www.mdpi.com/search?q=geoengineering>; hydrology
<https://www.mdpi.com/search?q=hydrology>; flood
<https://www.mdpi.com/search?q=flood>; SWAT+
<https://www.mdpi.com/search?q=SWAT%2B>; Malaysia
<https://www.mdpi.com/search?q=Malaysia>

[image: Water 15 01089 g002 550]
<https://www.mdpi.com/2073-4441/15/6/1089#fig_body_display_water-15-01089-f002>
Figure 2. The conceptual framework of SRM hydro-climatic impact assessment
using SWAT+.

[image: Water 15 01089 g006 550]
<https://www.mdpi.com/2073-4441/15/6/1089#fig_body_display_water-15-01089-f006>
Figure 6. Relative changes in the R10 mm, R20 mm, R50 mm and Rx1d indices
under the RCP8.5 and GLENS simulations across the stations during the
2025–2044, 2045–2064 and 2065–2084 periods.

[image: Water 15 01089 g010 550]
<https://www.mdpi.com/2073-4441/15/6/1089#fig_body_display_water-15-01089-f010>
Figure 10. Relative changes of maximum daily flow at the sub-basin level in
the KRB for GLENS and RCP8.5 during the 2025–2044, 2045–2064 and 2065–2084
periods as compared to the 1985–2004 baseline period.

*Source: MDPI*

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