黄河流域能源消耗碳足迹的多尺度时空演变与分区

IF 3.5 3区 工程技术 Q3 ENERGY & FUELS Energy Science & Engineering Pub Date : 2024-09-24 DOI:10.1002/ese3.1908
Liyan Zhang, Mei Song, Jia Zhang, Xuguang Hao
{"title":"黄河流域能源消耗碳足迹的多尺度时空演变与分区","authors":"Liyan Zhang,&nbsp;Mei Song,&nbsp;Jia Zhang,&nbsp;Xuguang Hao","doi":"10.1002/ese3.1908","DOIUrl":null,"url":null,"abstract":"<p>Classifying emission reduction zones on different scales has important implications for the ecological protection and high-quality development of the Yellow River Basin. Based on remote sensing data and a light-carbon conversion model, carbon footprints at provincial, municipal, and county scales in the Yellow River Basin are measured. The spatiotemporal evolution critical paths of carbon footprints at the three spatial scales are compared and classified into different zones using spatiotemporal evolution analysis methods. The conclusions are as follows: (1) The carbon footprint increased over the years. The spatial distributions of carbon footprints at the three scales are not only consistent but also different. The study of carbon footprints at the county scale is more conducive to the summary of the spatiotemporal evolution and the formulation of detailed emission reduction schemes. (2) Four provinces, 48 cities, and 373 counties are designated as a “core protected zone”; three provinces, 29 cities, and 177 counties are designated as a “strictly governed zone”; one province, 12 cities, and 47 counties are designated as a “key restricted zone”; four cities and 39 counties are designated as an “alert diffusion zone.” (3) The agglomeration expansion trend and the spillover effect of high-carbon footprint units at the county scale are more obvious. Further enhancement of the path-locking characteristics of the carbon footprints of counties will make governance more difficult. Effective governance of carbon footprint at the county scale is of urgent concern. These results provide scientific evidence for multiscale carbon emission control and zoning policy formulation in the Yellow River Basin.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.1908","citationCount":"0","resultStr":"{\"title\":\"Multiscale spatiotemporal evolution and zoning of energy consumption carbon footprint in the Yellow River Basin\",\"authors\":\"Liyan Zhang,&nbsp;Mei Song,&nbsp;Jia Zhang,&nbsp;Xuguang Hao\",\"doi\":\"10.1002/ese3.1908\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Classifying emission reduction zones on different scales has important implications for the ecological protection and high-quality development of the Yellow River Basin. Based on remote sensing data and a light-carbon conversion model, carbon footprints at provincial, municipal, and county scales in the Yellow River Basin are measured. The spatiotemporal evolution critical paths of carbon footprints at the three spatial scales are compared and classified into different zones using spatiotemporal evolution analysis methods. The conclusions are as follows: (1) The carbon footprint increased over the years. The spatial distributions of carbon footprints at the three scales are not only consistent but also different. The study of carbon footprints at the county scale is more conducive to the summary of the spatiotemporal evolution and the formulation of detailed emission reduction schemes. (2) Four provinces, 48 cities, and 373 counties are designated as a “core protected zone”; three provinces, 29 cities, and 177 counties are designated as a “strictly governed zone”; one province, 12 cities, and 47 counties are designated as a “key restricted zone”; four cities and 39 counties are designated as an “alert diffusion zone.” (3) The agglomeration expansion trend and the spillover effect of high-carbon footprint units at the county scale are more obvious. Further enhancement of the path-locking characteristics of the carbon footprints of counties will make governance more difficult. Effective governance of carbon footprint at the county scale is of urgent concern. These results provide scientific evidence for multiscale carbon emission control and zoning policy formulation in the Yellow River Basin.</p>\",\"PeriodicalId\":11673,\"journal\":{\"name\":\"Energy Science & Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.1908\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Science & Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ese3.1908\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Science & Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ese3.1908","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

划分不同尺度的减排区对黄河流域的生态保护和高质量发展具有重要意义。基于遥感数据和光碳转换模型,测算了黄河流域省、市、县三级碳足迹。利用时空演化分析方法,比较了三个空间尺度碳足迹的时空演化临界路径,并将其划分为不同的区域。结论如下(1)碳足迹逐年增加。三种尺度的碳足迹空间分布不仅一致,而且存在差异。县域尺度的碳足迹研究更有利于时空演变的总结和详细减排方案的制定。(2)4 个省、48 个市、373 个县被划定为 "核心保护区";3 个省、29 个市、177 个县被划定为 "严格治理区";1 个省、12 个市、47 个县被划定为 "重点限制区";4 个市、39 个县被划定为 "警戒扩散区"。(3)县域范围内高碳足迹单位的集聚扩张趋势和溢出效应更加明显。县域碳足迹的路径锁定特征进一步增强,将增加治理难度。县域尺度碳足迹的有效治理迫在眉睫。这些结果为黄河流域多尺度碳排放控制和分区政策制定提供了科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Multiscale spatiotemporal evolution and zoning of energy consumption carbon footprint in the Yellow River Basin

Classifying emission reduction zones on different scales has important implications for the ecological protection and high-quality development of the Yellow River Basin. Based on remote sensing data and a light-carbon conversion model, carbon footprints at provincial, municipal, and county scales in the Yellow River Basin are measured. The spatiotemporal evolution critical paths of carbon footprints at the three spatial scales are compared and classified into different zones using spatiotemporal evolution analysis methods. The conclusions are as follows: (1) The carbon footprint increased over the years. The spatial distributions of carbon footprints at the three scales are not only consistent but also different. The study of carbon footprints at the county scale is more conducive to the summary of the spatiotemporal evolution and the formulation of detailed emission reduction schemes. (2) Four provinces, 48 cities, and 373 counties are designated as a “core protected zone”; three provinces, 29 cities, and 177 counties are designated as a “strictly governed zone”; one province, 12 cities, and 47 counties are designated as a “key restricted zone”; four cities and 39 counties are designated as an “alert diffusion zone.” (3) The agglomeration expansion trend and the spillover effect of high-carbon footprint units at the county scale are more obvious. Further enhancement of the path-locking characteristics of the carbon footprints of counties will make governance more difficult. Effective governance of carbon footprint at the county scale is of urgent concern. These results provide scientific evidence for multiscale carbon emission control and zoning policy formulation in the Yellow River Basin.

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
Energy Science & Engineering
Energy Science & Engineering Engineering-Safety, Risk, Reliability and Quality
CiteScore
6.80
自引率
7.90%
发文量
298
审稿时长
11 weeks
期刊介绍: Energy Science & Engineering is a peer reviewed, open access journal dedicated to fundamental and applied research on energy and supply and use. Published as a co-operative venture of Wiley and SCI (Society of Chemical Industry), the journal offers authors a fast route to publication and the ability to share their research with the widest possible audience of scientists, professionals and other interested people across the globe. Securing an affordable and low carbon energy supply is a critical challenge of the 21st century and the solutions will require collaboration between scientists and engineers worldwide. This new journal aims to facilitate collaboration and spark innovation in energy research and development. Due to the importance of this topic to society and economic development the journal will give priority to quality research papers that are accessible to a broad readership and discuss sustainable, state-of-the art approaches to shaping the future of energy. This multidisciplinary journal will appeal to all researchers and professionals working in any area of energy in academia, industry or government, including scientists, engineers, consultants, policy-makers, government officials, economists and corporate organisations.
期刊最新文献
Issue Information Similar simulation test of the mechanical properties of layered composite rock mass A novel approach to classify lithology of reservoir formations using GrowNet and Deep-Insight with physic-based feature augmentation Combined genetic algorithm and response surface methodology-based bi-optimization of a vertical-axis wind turbine numerically simulated using CFD Experimental study on the utilization of Fly ash solid waste in tunnel shotcrete materials
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1