EGU26-16498, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-16498
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Thursday, 07 May, 14:00–15:45 (CEST), Display time Thursday, 07 May, 14:00–18:00
 
Hall X4, X4.21
Assessing Climate-Driven Greenhouse Gas Emissions from Feitsui Reservoir Using G-RES Under Multiple SSP Scenarios
Feng-Wei Yeh and Ching-Pin Tung
Feng-Wei Yeh and Ching-Pin Tung
  • Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan (fengweiyeh@gmail.com)

Reservoirs are increasingly recognized as significant sources of greenhouse gas (GHG) emissions, yet their future emissions under climate change remain poorly quantified. This study evaluates the impact of climate change on net GHG emissions from Feitsui Reservoir, a major water supply reservoir in northern Taiwan, using an integrated modeling approach.

We utilized the multisite Weather Generator (multiWG) to generate future climate projections for three Shared Socioeconomic Pathways (SSP126, SSP245, SSP585) across four 20-year periods (2021-2040, 2041-2060, 2061-2080, 2081-2100), with 1995-2014 as the baseline. A Random Forest model (NSE = 0.8637) was trained to predict reservoir inflow based on temperature and precipitation data. These inflows were input into the G-RES model to calculate net GHG emissions in CO₂-equivalent units, including contributions from both CO₂ and CH₄.

Results reveal that reservoir GHG emissions will increase under all climate scenarios, with magnitude strongly dependent on emission pathways. Under the low-emission scenario (SSP126), emissions increase by 5.2-8.8% across all periods. The intermediate scenario (SSP245) shows moderate increases of 5.4-18.4%. The high-emission scenario (SSP585) demonstrates dramatic escalation, particularly in the late century (2081-2100), where emissions reach 1259.6 gCO₂e/m²/yr—a 45.8% increase. These findings underscore the critical need to consider climate impacts in reservoir management and carbon accounting frameworks.

How to cite: Yeh, F.-W. and Tung, C.-P.: Assessing Climate-Driven Greenhouse Gas Emissions from Feitsui Reservoir Using G-RES Under Multiple SSP Scenarios, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16498, https://doi.org/10.5194/egusphere-egu26-16498, 2026.