基于土地利用动态的长三角地区碳平衡分析。

IF 5.8 3区 环境科学与生态学 0 ENVIRONMENTAL SCIENCES
Dongmei Ma, Kongqing Li
{"title":"基于土地利用动态的长三角地区碳平衡分析。","authors":"Dongmei Ma,&nbsp;Kongqing Li","doi":"10.1007/s11356-025-36903-5","DOIUrl":null,"url":null,"abstract":"<div><p>In the context of global climate change, increasing carbon emissions have become a major challenge to the sustainable development of human society. It is of great practical significance to scientifically assess the regional carbon budget status, to coordinate social and economic development and ecological environmental protection, and to promote the implementation of the “dual carbon” (carbon peak and carbon neutrality) strategy. In this study, the Yangtze River Delta urban agglomeration was taken as the research object, and the total regional carbon emissions from 2010 to 2020 were systematically calculated using the carbon emission coefficient method. Based on the land use data obtained from remote sensing images in different periods, the spatiotemporal evolution of land cover in the study area was deeply analyzed. The spatial correlation analysis method is used to reveal the spatial correlation characteristics and evolution trend of carbon emissions, in which the global spatial autocorrelation test confirms the significant spatial dependence of carbon emissions, and the local spatial correlation analysis identifies a variety of typical spatial agglomeration patterns. The cold and hot spot analysis model accurately defines the core areas of high carbon emissions, which provides data support for the implementation of regional differentiated emission reduction strategies. In addition, the independent contribution of each driving factor and its interaction effect were quantitatively evaluated with the help of the geographic detector model. The results show that the study area continues to be in a state of carbon deficit during the observation period, and although the emission growth rate shows a slowdown trend, the total amount still grows. The spatial pattern of carbon emissions is significantly heterogeneous. The core driving factors such as GDP, industrial structure, fixed asset investment, energy consumption efficiency, and policy support not only play a significant role in their own actions, but their synergistic effects also show nonlinear enhancement characteristics. The research results not only provide a theoretical basis for the low-carbon development planning in the Yangtze River Delta region, but also provide a scientific reference for the formulation and implementation of carbon emission reduction policies at the national level, and have important practical value for promoting the construction of ecological civilization and realizing the strategic goal of “dual carbon.”</p></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"32 36","pages":"21681 - 21702"},"PeriodicalIF":5.8000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of carbon balance in the Yangtze River Delta region based on land use dynamics\",\"authors\":\"Dongmei Ma,&nbsp;Kongqing Li\",\"doi\":\"10.1007/s11356-025-36903-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In the context of global climate change, increasing carbon emissions have become a major challenge to the sustainable development of human society. It is of great practical significance to scientifically assess the regional carbon budget status, to coordinate social and economic development and ecological environmental protection, and to promote the implementation of the “dual carbon” (carbon peak and carbon neutrality) strategy. In this study, the Yangtze River Delta urban agglomeration was taken as the research object, and the total regional carbon emissions from 2010 to 2020 were systematically calculated using the carbon emission coefficient method. Based on the land use data obtained from remote sensing images in different periods, the spatiotemporal evolution of land cover in the study area was deeply analyzed. The spatial correlation analysis method is used to reveal the spatial correlation characteristics and evolution trend of carbon emissions, in which the global spatial autocorrelation test confirms the significant spatial dependence of carbon emissions, and the local spatial correlation analysis identifies a variety of typical spatial agglomeration patterns. The cold and hot spot analysis model accurately defines the core areas of high carbon emissions, which provides data support for the implementation of regional differentiated emission reduction strategies. In addition, the independent contribution of each driving factor and its interaction effect were quantitatively evaluated with the help of the geographic detector model. The results show that the study area continues to be in a state of carbon deficit during the observation period, and although the emission growth rate shows a slowdown trend, the total amount still grows. The spatial pattern of carbon emissions is significantly heterogeneous. The core driving factors such as GDP, industrial structure, fixed asset investment, energy consumption efficiency, and policy support not only play a significant role in their own actions, but their synergistic effects also show nonlinear enhancement characteristics. The research results not only provide a theoretical basis for the low-carbon development planning in the Yangtze River Delta region, but also provide a scientific reference for the formulation and implementation of carbon emission reduction policies at the national level, and have important practical value for promoting the construction of ecological civilization and realizing the strategic goal of “dual carbon.”</p></div>\",\"PeriodicalId\":545,\"journal\":{\"name\":\"Environmental Science and Pollution Research\",\"volume\":\"32 36\",\"pages\":\"21681 - 21702\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2025-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Science and Pollution Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11356-025-36903-5\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Science and Pollution Research","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s11356-025-36903-5","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

在全球气候变化的背景下,碳排放增加已成为人类社会可持续发展面临的重大挑战。科学评估区域碳预算状况,对协调社会经济发展与生态环境保护,促进“双碳”(碳峰值与碳中和)战略的实施具有重要的现实意义。本研究以长三角城市群为研究对象,采用碳排放系数法系统计算了2010 - 2020年长三角城市群区域碳排放总量。基于不同时期遥感影像获取的土地利用数据,对研究区土地覆盖的时空演变进行了深入分析。利用空间相关分析方法揭示了碳排放的空间相关特征和演变趋势,其中全球空间自相关检验证实了碳排放的空间依赖性显著,局部空间相关分析确定了多种典型的空间集聚模式。冷热点分析模型准确界定了高碳排放核心区,为实施区域差别化减排战略提供数据支持。此外,利用地理探测器模型定量评价了各驱动因素的独立贡献及其相互作用效应。结果表明:研究区在观测期内持续处于碳亏缺状态,排放增速虽呈放缓趋势,但总量仍在增长。碳排放的空间格局具有显著的异质性。GDP、产业结构、固定资产投资、能源消费效率、政策支持等核心驱动因素不仅自身作用显著,协同效应也呈现非线性增强特征。研究成果不仅为长三角地区低碳发展规划提供理论依据,也为国家层面碳减排政策的制定与实施提供科学参考,对推进生态文明建设、实现“双碳”战略目标具有重要的实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of carbon balance in the Yangtze River Delta region based on land use dynamics

In the context of global climate change, increasing carbon emissions have become a major challenge to the sustainable development of human society. It is of great practical significance to scientifically assess the regional carbon budget status, to coordinate social and economic development and ecological environmental protection, and to promote the implementation of the “dual carbon” (carbon peak and carbon neutrality) strategy. In this study, the Yangtze River Delta urban agglomeration was taken as the research object, and the total regional carbon emissions from 2010 to 2020 were systematically calculated using the carbon emission coefficient method. Based on the land use data obtained from remote sensing images in different periods, the spatiotemporal evolution of land cover in the study area was deeply analyzed. The spatial correlation analysis method is used to reveal the spatial correlation characteristics and evolution trend of carbon emissions, in which the global spatial autocorrelation test confirms the significant spatial dependence of carbon emissions, and the local spatial correlation analysis identifies a variety of typical spatial agglomeration patterns. The cold and hot spot analysis model accurately defines the core areas of high carbon emissions, which provides data support for the implementation of regional differentiated emission reduction strategies. In addition, the independent contribution of each driving factor and its interaction effect were quantitatively evaluated with the help of the geographic detector model. The results show that the study area continues to be in a state of carbon deficit during the observation period, and although the emission growth rate shows a slowdown trend, the total amount still grows. The spatial pattern of carbon emissions is significantly heterogeneous. The core driving factors such as GDP, industrial structure, fixed asset investment, energy consumption efficiency, and policy support not only play a significant role in their own actions, but their synergistic effects also show nonlinear enhancement characteristics. The research results not only provide a theoretical basis for the low-carbon development planning in the Yangtze River Delta region, but also provide a scientific reference for the formulation and implementation of carbon emission reduction policies at the national level, and have important practical value for promoting the construction of ecological civilization and realizing the strategic goal of “dual carbon.”

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
8.70
自引率
17.20%
发文量
6549
审稿时长
3.8 months
期刊介绍: Environmental Science and Pollution Research (ESPR) serves the international community in all areas of Environmental Science and related subjects with emphasis on chemical compounds. This includes: - Terrestrial Biology and Ecology - Aquatic Biology and Ecology - Atmospheric Chemistry - Environmental Microbiology/Biobased Energy Sources - Phytoremediation and Ecosystem Restoration - Environmental Analyses and Monitoring - Assessment of Risks and Interactions of Pollutants in the Environment - Conservation Biology and Sustainable Agriculture - Impact of Chemicals/Pollutants on Human and Animal Health It reports from a broad interdisciplinary outlook.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信