• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

多尺度评估城市土地与碳排放的耦合关系:以中国重庆为例。

A Multiscale Evaluation of the Coupling Relationship between Urban Land and Carbon Emissions: A Case Study of Chongqing, China.

机构信息

College of Resources and Environment, State Cultivation Base of Eco-agriculture for Southwest Mountainous Land, Southwest University, Chongqing 400715, China.

Chongqing Jinfo Mountain Field Scientific Observation and Research Station for Kaster Ecosystem, Ministry of Education, Southwest University, Chongqing 400715, China.

出版信息

Int J Environ Res Public Health. 2020 May 14;17(10):3416. doi: 10.3390/ijerph17103416.

DOI:10.3390/ijerph17103416
PMID:32422930
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7277681/
Abstract

Exploring the coupling relationship between urban land and carbon emissions (CE) is one of the important premises for coordinating the urban development and the ecological environment. Due to the influence of the scale effect, a systematic evaluation of the CE at different scales will help to develop more reasonable strategies for low-carbon urban planning. However, corresponding studies are still lacking. Hence, two administrative scales (e.g., region and county) in Chongqing were selected as experimental objects to compare and analyze the CE at different scales using the spatiotemporal coupling and coupling coordination models. The results show that urban land and carbon emissions presented a significant growth trend in Chongqing at different scales from 2000 to 2015. The strength of the spatiotemporal coupling relationship between urban land and total carbon emissions gradually increased with increasing scale. At the regional scale, the high coupling coordination between urban land and total carbon emissions was mainly concentrated in the urban functional development region. Additionally, the high coupling coordination between urban land and carbon emission intensity (OI) was still located in the counties within the metropolitan region of Chongqing, but the low OI was mainly distributed in the counties in the northeastern and southeastern regions of Chongqing at the county level. This study illustrates the multiscale trend of CE and suggests differentiated urban land and carbon emission reduction policies for controlling urban land sprawl and reducing carbon emissions.

摘要

探索城市土地与碳排放(CE)的耦合关系是协调城市发展与生态环境的重要前提之一。由于规模效应的影响,对不同尺度的 CE 进行系统评价有助于为低碳城市规划制定更合理的策略。然而,相应的研究仍然不足。因此,选择重庆市的两个行政尺度(如区域和县级)作为实验对象,利用时空耦合和耦合协调模型对不同尺度的 CE 进行比较和分析。结果表明,2000 年至 2015 年,重庆市不同尺度的城市土地和碳排放呈显著增长趋势。城市土地与总碳排放量之间的时空耦合关系强度随着尺度的增加而逐渐增强。在区域尺度上,城市土地与总碳排放量之间的高耦合协调主要集中在城市功能发展区。此外,在重庆大都市区的县城,城市土地与碳排放强度(OI)之间仍存在高耦合协调,但低 OI 主要分布在重庆东北部和东南部的县城。本研究说明了 CE 的多尺度趋势,并为控制城市土地扩张和减少碳排放提出了差异化的城市土地和碳排放减排政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/deccd32bfd9d/ijerph-17-03416-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/cb20b9c0d393/ijerph-17-03416-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/77cd05fb63db/ijerph-17-03416-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/21c5411932e0/ijerph-17-03416-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/c50741fa2243/ijerph-17-03416-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/011117bf7618/ijerph-17-03416-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/5aff3ceb06c9/ijerph-17-03416-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/deccd32bfd9d/ijerph-17-03416-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/cb20b9c0d393/ijerph-17-03416-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/77cd05fb63db/ijerph-17-03416-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/21c5411932e0/ijerph-17-03416-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/c50741fa2243/ijerph-17-03416-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/011117bf7618/ijerph-17-03416-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/5aff3ceb06c9/ijerph-17-03416-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1361/7277681/deccd32bfd9d/ijerph-17-03416-g007.jpg

相似文献

1
A Multiscale Evaluation of the Coupling Relationship between Urban Land and Carbon Emissions: A Case Study of Chongqing, China.多尺度评估城市土地与碳排放的耦合关系:以中国重庆为例。
Int J Environ Res Public Health. 2020 May 14;17(10):3416. doi: 10.3390/ijerph17103416.
2
Spatiotemporal Heterogeneity of Urban Land Expansion and Urban Population Growth under New Urbanization: A Case Study of Chongqing.新型城镇化背景下城市土地扩张与城市人口增长的时空分异——以重庆市为例
Int J Environ Res Public Health. 2022 Jun 25;19(13):7792. doi: 10.3390/ijerph19137792.
3
[Spatiotemporal Dynamic Evolution and Gravity Center Migration of Carbon Emissions in the Main Urban Area of Chongqing over the Past 20 Years].重庆市主城区近20年碳排放的时空动态演变及重心迁移
Huan Jing Ke Xue. 2023 Jan 8;44(1):560-571. doi: 10.13227/j.hjkx.202203174.
4
How does urbanization affect carbon emission intensity under a hierarchical nesting structure? Empirical research on the China Yangtze River Delta urban agglomeration.城镇化如何在层次嵌套结构下影响碳排放强度?基于中国长江三角洲城市群的实证研究。
Environ Sci Pollut Res Int. 2019 Nov;26(31):31770-31785. doi: 10.1007/s11356-019-06361-x. Epub 2019 Sep 4.
5
[Spatial Correlation of Land Use Carbon Budget Based on Social Network Analysis: A Case Study of Chongqing Metropolitan Area].基于社会网络分析的土地利用碳预算空间相关性:以重庆大都市区为例
Huan Jing Ke Xue. 2024 Sep 8;45(9):5003-5014. doi: 10.13227/j.hjkx.202308150.
6
[Spatio-temporal Evolution and Coordinated Development of Compactness with Carbon Emission Intensity in the Chengdu-Chongqing Urban Agglomeration].成渝城市群紧凑度与碳排放强度的时空演变及协调发展
Huan Jing Ke Xue. 2024 Jun 8;45(6):3402-3411. doi: 10.13227/j.hjkx.202307260.
7
Urban land use carbon emission intensity in China under the "double carbon" targets: spatiotemporal patterns and evolution trend.中国“双碳”目标下的城市土地利用碳排放强度:时空格局与演变趋势。
Environ Sci Pollut Res Int. 2023 Feb;30(7):18213-18226. doi: 10.1007/s11356-022-23294-0. Epub 2022 Oct 8.
8
Carbon emissions from land use in Jiangsu, China, and analysis of the regional interactions.中国江苏土地利用的碳排放及其区域相互作用分析。
Environ Sci Pollut Res Int. 2022 Jun;29(29):44523-44539. doi: 10.1007/s11356-022-19007-2. Epub 2022 Feb 8.
9
Determinants of spatiotemporal changes of land use carbon emissions for counties in Shaanxi Province, China.中国陕西省县域土地利用碳排放的时空变化决定因素。
Environ Sci Pollut Res Int. 2024 Sep;31(44):56350-56362. doi: 10.1007/s11356-024-34835-0. Epub 2024 Sep 13.
10
Spatiotemporal evolution and multi-scale coupling effects of land-use carbon emissions and ecological environmental quality.土地利用碳排放与生态环境质量的时空演变及多尺度耦合效应
Sci Total Environ. 2024 Apr 20;922:171149. doi: 10.1016/j.scitotenv.2024.171149. Epub 2024 Feb 24.

引用本文的文献

1
Dynamics of urban expansion and form changes impacting carbon emissions in the Guangdong-Hong Kong-Macao Greater Bay Area counties.粤港澳大湾区各城市扩张动态及形态变化对碳排放的影响
Heliyon. 2024 Apr 15;10(8):e29647. doi: 10.1016/j.heliyon.2024.e29647. eCollection 2024 Apr 30.
2
Relationship between spatial pattern and function of urban land use in Changchun, China.中国长春城市土地利用的空间格局与功能关系。
PLoS One. 2023 Sep 8;18(9):e0291121. doi: 10.1371/journal.pone.0291121. eCollection 2023.
3
Spatial Disparity and Influencing Factors of Coupling Coordination Development of Economy-Environment-Tourism-Traffic: A Case Study in the Middle Reaches of Yangtze River Urban Agglomerations.

本文引用的文献

1
The effect of urbanization on carbon dioxide emissions efficiency in the Yangtze River Delta, China.城市化对中国长江三角洲地区二氧化碳排放效率的影响。
J Clean Prod. 2018 Jul 1;188:38-48. doi: 10.1016/j.jclepro.2018.03.198. Epub 2018 Mar 21.
2
Effects of urban forms on CO emissions in China from a multi-perspective analysis.从多角度分析城市形态对中国 CO 排放的影响。
J Environ Manage. 2020 May 15;262:110300. doi: 10.1016/j.jenvman.2020.110300. Epub 2020 Feb 25.
3
Does China's Urban Development Satisfy Zipf's Law? A Multiscale Perspective from the NPP-VIIRS Nighttime Light Data.
经济-环境-旅游-交通系统耦合协调发展的空间分异及其影响因素——以长江中游城市群为例
Int J Environ Res Public Health. 2021 Jul 27;18(15):7947. doi: 10.3390/ijerph18157947.
中国城市发展是否符合齐夫定律?基于 NPP-VIIRS 夜间灯光数据的多尺度视角。
Int J Environ Res Public Health. 2020 Feb 24;17(4):1460. doi: 10.3390/ijerph17041460.
4
Global projections of future urban land expansion under shared socioeconomic pathways.全球在共同社会经济途径下未来城市土地扩张的预测。
Nat Commun. 2020 Jan 27;11(1):537. doi: 10.1038/s41467-020-14386-x.
5
The Open-source Data Inventory for Anthropogenic Carbon dioxide (CO), version 2016 (ODIAC2016): A global, monthly fossil-fuel CO gridded emission data product for tracer transport simulations and surface flux inversions.人为二氧化碳(CO)开源数据清单,2016版(ODIAC2016):一种用于示踪剂传输模拟和表面通量反演的全球月度化石燃料CO网格化排放数据产品。
Earth Syst Sci Data. 2018;10(1):87-107. doi: 10.5194/essd-10-87-2018. Epub 2018 Jan 18.
6
What Are the Driving Forces of Urban CO Emissions in China? A Refined Scale Analysis between National and Urban Agglomeration Levels.中国城市 CO 排放的驱动因素是什么?国家和城市群层面的精细化规模分析。
Int J Environ Res Public Health. 2019 Sep 30;16(19):3692. doi: 10.3390/ijerph16193692.
7
Long-term urban carbon dioxide observations reveal spatial and temporal dynamics related to urban characteristics and growth.长期城市二氧化碳观测揭示了与城市特征和发展相关的时空动态。
Proc Natl Acad Sci U S A. 2018 Mar 20;115(12):2912-2917. doi: 10.1073/pnas.1702393115. Epub 2018 Mar 5.
8
Carbon emissions from land-use change and management in China between 1990 and 2010.中国 1990 年至 2010 年土地利用变化和管理的碳排放。
Sci Adv. 2016 Nov 2;2(11):e1601063. doi: 10.1126/sciadv.1601063. eCollection 2016 Nov.
9
Investigation of a coupling model of coordination between urbanization and the environment.城市化与环境协调耦合模型研究。
J Environ Manage. 2012 May 15;98:127-33. doi: 10.1016/j.jenvman.2011.12.025. Epub 2012 Jan 20.