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Spatial early-warning of carbon imbalance risk in major function-oriented zones

The case of Henan Province, China

Bibliographic Data

ID15550902
AuthorsZhixiang Xie (0000-0002-0993-8615, North China University of Water Resources and Electric Power, corresponding author), Jiayu Ji (North China University of Water Resources and Electric Power), Rongqin Zhao (0000-0003-2010-458X, North China University of Water Resources and Electric Power), Liangang Xiao (0000-0001-7391-520X, North China University of Water Resources and Electric Power), Hanbing Li (0000-0001-9413-0372, North China University of Water Resources and Electric Power), Yaohui Gao (North China University of Water Resources and Electric Power), Shuangsheng Yao (North China University of Water Resources and Electric Power), Yufei Ji (North China University of Water Resources and Electric Power), Xaiowei Chuai (Nanjing Agricultural University)
Year2026
Publication date2026-03-25
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ae5725
OpenAlexW7140320307
LanguageEN

Identifying carbon imbalance risk (CIR) of Major Function-Oriented Zones (MFOZ) has great significance for realizing the goals of carbon peak and carbon neutrality (“dual carbon” goals) and optimizing the governance of territorial space. However, previous studies rarely focused on the early warning areas of CIR in MFOZ, which restricted the formation of low-carbon oriented territorial space pattern. This study analyzed the spatio-temporal evolution and influencing factors of CIR in MFOZ of Henan Province during 2001-2020, and identified the early warning areas of CIR for MFOZ. The results revealed that the CIR increased first and then decreased, and the high risk zones were clustered around the Zhengzhou metropolitan area. The CIR types were dominated by natural background type and urban expansion type, while other types accounted for only 36.95%. The average indexes of CIR in urbanized areas, major agricultural production areas and key ecological functional areas were 0.522, 0.380 and 0.352, respectively. 78 counties/districts have been identified as warning of CIR, the warning counties/districts in urbanized functional areas were clustered in Zhengzhou, Luoyang, and Kaifeng. In the future, it is essential to adopt a series of measures, including establishing a dynamic monitoring mechanism, improving the early warning system, implementing differentiated governance strategies, building a cross-functional collaborative reduction mechanism, and strengthening the connection with the carbon trading market

China · Corporate governance · Early warning system · Metropolitan area · Risk Governance · Urbanization · Warning system · Atmospheric and Environmental Gas Dynamics · Energy, Environment, Economic Growth · Environmental Impact and Sustainability

Highly citedNo

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