Refined Carbon Emission Monitoring in Data-Scarce Regions: Insights from Nighttime Light Remote Sensing in the Yangtze River Delta
文献类型：期刊论文
| 作者 | Ye, Xingwen1; Yao, Zuofang1; Yang, Fei2,3; Ao, Yifang1 |
| 刊名 | APPLIED SCIENCES-BASEL
 |
| 出版日期 | 2026-03-07 |
| 卷号 | 16期号:5页码:2575 |
| 关键词 | carbon emissions nighttime light spatial-temporal analysis remote sensing energy consumption |
| DOI | 10.3390/app16052575 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Carbon emissions (CEs) are a primary driver of global climate change, particularly pronounced in China's Yangtze River Delta (YRD) region, where rapid economic development and urbanization have led to a substantial increase in CEs. At fine spatial scales (e.g., county level) or in regions with limited statistical data, traditional methods for CE accounting are constrained by data gaps and inconsistencies, which hinders the accurate characterization of regional disparities. Therefore, this study proposes a CE spatial downscaling method based on nighttime light (NTL) data. By integrating remote sensing data with the IPCC emission inventory model, energy consumption-related carbon emissions (ECCEs) across the YRD region from 2000 to 2020 were quantified. Through global spatial autocorrelation analysis and standard deviation ellipse (SDE) analysis, the spatial distribution characteristics and temporal variation trends of ECCEs were revealed. Results indicate that total CEs increased significantly over the study period. CE hotspots were concentrated in the Hangzhou Bay area and the Shanghai-Nanjing corridor, while coldspots were identified in southwestern Anhui and Zhejiang. From 2010, the CE centroid shifted toward the southwest or northwest, and the regional CE distribution evolved from a point pattern to a band-shaped pattern. These findings offer a novel approach for CE monitoring and can provide scientific support for low-carbon development policies and precise emission reduction strategies in data-scarce regions of developing countries. |
| URL标识 | 查看原文 |
| WOS关键词 | ECONOMIC-GROWTH ; CHINA ; ENERGY ; CONSUMPTION ; DYNAMICS ; IMPACT |
| WOS研究方向 | Chemistry ; Engineering ; Materials Science ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:001713324100001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221311]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Yang, Fei |
| 作者单位 | 1.Guangxi Univ, Sch Resources Environm & Mat, Nanning 530004, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Ye, Xingwen,Yao, Zuofang,Yang, Fei,et al. Refined Carbon Emission Monitoring in Data-Scarce Regions: Insights from Nighttime Light Remote Sensing in the Yangtze River Delta[J]. APPLIED SCIENCES-BASEL,2026,16(5):2575. |
| APA | Ye, Xingwen,Yao, Zuofang,Yang, Fei,&Ao, Yifang.(2026).Refined Carbon Emission Monitoring in Data-Scarce Regions: Insights from Nighttime Light Remote Sensing in the Yangtze River Delta.APPLIED SCIENCES-BASEL,16(5),2575. |
| MLA | Ye, Xingwen,et al."Refined Carbon Emission Monitoring in Data-Scarce Regions: Insights from Nighttime Light Remote Sensing in the Yangtze River Delta".APPLIED SCIENCES-BASEL 16.5(2026):2575. |
入库方式： OAI收割
来源：地理科学与资源研究所
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