Author
Listed:
- Runcao Zhang
(School of Environment, Tsinghua University, Beijing 100084, China
These authors contributed equally to this work.)
- Yuyun Liu
(Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
These authors contributed equally to this work.)
- Yu Bo
(Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China)
- Shida Sun
(Beijing Municipal Ecological and Environmental Monitoring Center, Beijing 100048, China)
- Yawen Duan
(Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China)
- Chenxi Xu
(Tianfu Yongxing Laboratory, Chengdu 610213, China
College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China)
- Zimu Jia
(Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China)
- Jinping Tian
(School of Environment, Tsinghua University, Beijing 100084, China)
- Kebin He
(School of Environment, Tsinghua University, Beijing 100084, China
Institute for Carbon Neutrality, Tsinghua University, Beijing 100084, China)
Abstract
In summer 2022, Sichuan suffered an unprecedented compound heatwave-drought, cut-ting hydropower output and forcing a rapid coal-fired power ramp-up to secure supply, driving elevated emission intensities in its power sector. However, the fluctuations in power generation from thermal power and hydropower are significantly influenced by policy and economic factors. In meteorological-electrical coupling research, it is necessary to isolate the disturbances caused by major non-meteorological factors such as policy and economics on power generation to identify the true role of meteorological conditions. Therefore, this study proposes the “squeeze verification method,” which indirectly verifies the numerical confidence of the power time series variable under non-extreme weather conditions: by integrating CRU meteorological data, WIND energy data, and public environmental data, the ARIMA model is applied to quantify the power shortage amount caused purely by meteorological factors after stripping off the economic factors of policies in July–September 2022, which totaled 33,142 GWh, as well as the increase in thermal power generation, which amounted to 6806 GWh. Using localized emission factors, we calculated implicit emission increases: NO x dominated pollutant growth, while extra CO 2 emissions accounted for 8.16% of annual power-sector carbon emissions. This study further uncovered synergistic environmental risks tied to emergency coal-fired power generation. These risks include elevated air pollutant and CO 2 emissions, aggravated ozone pollution, and a reinforced positive feedback loop that intensifies the extreme weather cycle. Finally, we propose targeted preventive strategies to mitigate these cascading environmental risks and ensure the sustainable development of the energy system.
Suggested Citation
Runcao Zhang & Yuyun Liu & Yu Bo & Shida Sun & Yawen Duan & Chenxi Xu & Zimu Jia & Jinping Tian & Kebin He, 2026.
"Risks of Climate-Environment Cycle Deterioration Triggered by Extreme Weather: Quantifying the Impacts of the 2022 Compound Drought and Heatwave in Sichuan,"
Sustainability, MDPI, vol. 18(12), pages 1-25, June.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:12:p:5956-:d:1964298
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