标题: Spatio-temporal dynamics of human-induced carbon emissions in Southeast Asia (1992-2022) based on nighttime light

作者: Huang, CQ (Huang, Chaoqing); Wu, Q (Wu, Qian); Chen, YJ (Chen, Yujie); Nguyen, M (Nguyen, Minhthu); Chen, B (Chen, Bin); Hong, S (Hong, Song); He, C (He, Chao)

来源出版物: ECO-ENVIRONMENT & HEALTH 卷: 4 期: 2 文献号: 100150 DOI: 10.1016/j.eehl.2025.100150 Early Access Date: MAY 2025 Published Date: 2025 JUN

摘要: Understanding regional carbon emissions from human activities, particularly their spatio-temporal patterns, is essential for implementing decarbonization strategies and cultivating a low-carbon economy. This study develops a spatial visualization model to estimate carbon emissions in Southeast Asia using calibrated nighttime light data, with DMSP-OLS (Defense Meteorological Satellite Program Operational Linescan System) and NPP-VIIRS (National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite) standardized through polynomial regression and machine learning to ensure consistency. Emissions in Southeast Asia increased by 2.51 times from 1992 to 2022, shifting from gradual to rapid growth. Validation against Open-source Data Inventory for Anthropogenic CO2 (ODIAC) and Emissions Database for Global Atmospheric Research (EDGAR) shows strong agreement in high-emission urban areas but discrepancies in low-emission rural regions due to data sparsity and satellite sensor limits. Spatial analysis reveals that major Southeast Asian cities and their peripheries exhibit robust, sustained growth, while rural, less-developed areas show slower trends, highlighting persistent urban-rural disparities. These urban regions demonstrate a "circular economy advantage", where per-unit-area carbon emissions steadily rise in economically advantageous zones. Despite high model accuracy, uncertainties persist due to variations in regional economic activities and the limitations of satellite-based emission proxies. Forecasts suggest elevated emission levels in major cities will continue, while changes in other areas remain relatively minimal. Consequently, achieving a low-carbon economy in Southeast Asia requires a top-down approach, emphasizing infrastructure enhancement, resource and energy optimization, and fostering a sustainable, circular socio-economic system.

作者关键词: Carbon emissions; Human induced; Nighttime light; Southeast Asia; Spatio-temporal dynamics

KeyWords Plus: DRIVING FORCES; CO2; INVENTORY; DIOXIDE; PRODUCT; GOSAT; XCO2

地址: [Huang, Chaoqing; Wu, Qian; Hong, Song] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Huang, Chaoqing; Wu, Qian; Hong, Song] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China.

[Chen, Yujie] Huazhong Univ Sci & Technol, Sch Elect Informat & Commun, Wuhan 430074, Peoples R China.

[Nguyen, Minhthu] Minist Nat Resources & Environm, Vietnam Inst Meteorol Hydrol & Climate Change, Hanoi 100803, Vietnam.

[Chen, Bin] Univ Hong Kong, Fac Architecture, Future Urban & Sustainable Environm FUSE Lab, Div Landscape Architecture,Dept Architecture, Hong Kong 999077, Peoples R China.

[He, Chao] Chinese Acad Sci, Natl Sci Lib Wuhan, Wuhan 430071, Peoples R China.

[He, Chao] Collaborat Innovat Ctr Emiss Trading Syst Coconstr, Wuhan 430205, Peoples R China.

通讯作者地址: Hong, S (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

Hong, S (通讯作者)，Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China.

He, C (通讯作者)，Chinese Acad Sci, Natl Sci Lib Wuhan, Wuhan 430071, Peoples R China.

He, C (通讯作者)，Collaborat Innovat Ctr Emiss Trading Syst Coconstr, Wuhan 430205, Peoples R China.

电子邮件地址: songhongpku@126.com; chao_ho@163.com

影响因子：17.6