• 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

城市热环境的时空演变及其驱动因素:以中国南京为例。

Spatio-temporal evolution of urban thermal environment and its driving factors: Case study of Nanjing, China.

机构信息

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.

College of Resource and Environment, University of Chinese Academy of Sciences, Beijing, China.

出版信息

PLoS One. 2021 May 4;16(5):e0246011. doi: 10.1371/journal.pone.0246011. eCollection 2021.

DOI:10.1371/journal.pone.0246011
PMID:33945549
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8096077/
Abstract

In recent years, with rapid urbanization, the underlying urban surface has changed dramatically. Various urban eco-environmental problems have emerged globally, among which the urban heat island effect has become one of the most obvious urban eco-environmental problems. In this study, Nanjing, China, was chosen as the study area. Based on Landsat 8 remote sensing image data collected in Nanjing from 2014 to 2018, land surface temperatures were retrieved, the spatiotemporal variation track and characteristics of the thermal environment pattern were systematically depicted, and the driving factors of these variations were revealed. The results show that over the past five years, the spatial pattern of the heat field in Nanjing changed from a scattered distribution in the periphery of the city to a centralized distribution in the centre of the city, and the heat island intensity increased annually. Changes in administrative divisions, changes in the layout of the transportation trunk lines, transfer of industrial centres, and ecological construction projects are important driving factors for the evolution of the land surface thermal environment patterns of these regions. These research results will provide scientific and technological support for similar cities with typical heat island effects elsewhere in the world to formulate urban development plan, and to improve the urban ecological environment.

摘要

近年来,随着城市化的快速发展,城市下垫面发生了剧烈变化。全球范围内出现了各种城市生态环境问题,其中城市热岛效应成为最为显著的城市生态环境问题之一。本研究选取中国南京市为研究区,基于南京市 2014-2018 年的 Landsat 8 遥感影像数据,反演得到地表温度,系统刻画了南京市热环境格局的时空演变轨迹和特征,并揭示了这些变化的驱动因素。结果表明:过去 5 年,南京市热场空间格局由城市边缘的分散分布逐渐向城市中心的集中分布转变,热岛强度逐年增加。行政区划的调整、交通干线布局的改变、产业中心的转移以及生态建设工程等是导致这些区域地表热力环境格局演变的重要驱动因素。这些研究结果将为世界其他具有典型热岛效应的类似城市制定城市发展规划和改善城市生态环境提供科技支撑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af52/8096077/a474c3381472/pone.0246011.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af52/8096077/b4255dcadd7f/pone.0246011.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af52/8096077/43757c83a287/pone.0246011.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af52/8096077/b60e47bf9a1a/pone.0246011.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af52/8096077/a474c3381472/pone.0246011.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af52/8096077/b4255dcadd7f/pone.0246011.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af52/8096077/43757c83a287/pone.0246011.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af52/8096077/b60e47bf9a1a/pone.0246011.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af52/8096077/a474c3381472/pone.0246011.g004.jpg

相似文献

1
Spatio-temporal evolution of urban thermal environment and its driving factors: Case study of Nanjing, China.城市热环境的时空演变及其驱动因素:以中国南京为例。
PLoS One. 2021 May 4;16(5):e0246011. doi: 10.1371/journal.pone.0246011. eCollection 2021.
2
Remote sensing of the urban heat island and its changes in Xiamen City of SE China.中国东南部厦门市城市热岛及其变化的遥感监测
J Environ Sci (China). 2004;16(2):276-81.
3
Considerations on the impact of "source-sink" landscape pattern changes on urban thermal environment and cooling efficiency: a case study of Nanjing, China.“源汇”景观格局变化对城市热环境及降温效率的影响研究——以中国南京为例
Environ Sci Pollut Res Int. 2023 Mar;30(14):42296-42310. doi: 10.1007/s11356-023-25289-x. Epub 2023 Jan 17.
4
Urban Road Network Expansion and Its Driving Variables: A Case Study of Nanjing City.城市路网扩张及其驱动变量:以南京市为例。
Int J Environ Res Public Health. 2019 Jun 30;16(13):2318. doi: 10.3390/ijerph16132318.
5
[Spatiotemporal Variations in Atmospheric Urban Heat Island Effects and Their Driving Factors in 84 Major Chinese Cities].[中国84个主要城市大气城市热岛效应的时空变化及其驱动因素]
Huan Jing Ke Xue. 2021 Oct 8;42(10):5037-5045. doi: 10.13227/j.hjkx.202102003.
6
Effects of spatio-temporal landscape patterns on land surface temperature: a case study of Xi'an city, China.时空景观格局对地表温度的影响:以中国西安市为例。
Environ Monit Assess. 2018 Jun 22;190(7):419. doi: 10.1007/s10661-018-6787-z.
7
Spatial and temporal dynamics of urban heat environment at the township scale: A case study in Jinan city, China.乡镇尺度下城市热环境的时空动态:以中国济南市为例
PLoS One. 2024 Sep 16;19(9):e0307711. doi: 10.1371/journal.pone.0307711. eCollection 2024.
8
Capturing urban heat island formation in a subtropical city of China based on Landsat images: implications for sustainable urban development.基于 Landsat 图像捕捉中国亚热带城市的城市热岛形成:对可持续城市发展的启示。
Environ Monit Assess. 2021 Feb 15;193(3):130. doi: 10.1007/s10661-021-08890-w.
9
The Spatio-Temporal Patterns and Driving Forces of Land Use in the Context of Urbanization in China: Evidence from Nanchang City.中国城市化背景下土地利用的时空格局及驱动力:以南昌市为例。
Int J Environ Res Public Health. 2023 Jan 28;20(3):2330. doi: 10.3390/ijerph20032330.
10
Analysis of the relationship between urban landscape patterns and thermal environment: a case study of Zhengzhou City, China.城市景观格局与热环境关系分析:以中国郑州市为例。
Environ Monit Assess. 2020 Jul 24;192(8):540. doi: 10.1007/s10661-020-08505-w.

引用本文的文献

1
An Optimized Instance Segmentation of Underlying Surface in Low-Altitude TIR Sensing Images for Enhancing the Calculation of LSTs.一种用于增强地表温度计算的低空热红外遥感影像下垫面优化实例分割方法
Sensors (Basel). 2024 May 5;24(9):2937. doi: 10.3390/s24092937.
2
Study of coordinated development of county urbanization in arid areas of China: The case of Xinjiang.中国干旱地区县域城镇化协调发展研究:以新疆为例。
PLoS One. 2022 Oct 14;17(10):e0276235. doi: 10.1371/journal.pone.0276235. eCollection 2022.
3
Deducing Leading Factors of Spatial Distribution of Carbon Reserves in Nanjing Metropolitan Area Based on Random Forest Model.

本文引用的文献

1
Synergies between urban heat island and heat waves in Seoul: The role of wind speed and land use characteristics.首尔城市热岛与热浪的协同作用:风速和土地利用特征的作用。
PLoS One. 2020 Dec 7;15(12):e0243571. doi: 10.1371/journal.pone.0243571. eCollection 2020.
2
Development of a holistic urban heat island evaluation methodology.整体城市热岛评价方法的发展。
Sci Rep. 2020 Oct 21;10(1):17913. doi: 10.1038/s41598-020-75018-4.
3
A tree-planting decision support tool for urban heat mitigation.用于城市热缓解的植树决策支持工具。
基于随机森林模型推断南京市域碳储量空间分布的主导因素。
Comput Intell Neurosci. 2022 Aug 25;2022:3013620. doi: 10.1155/2022/3013620. eCollection 2022.
4
Thermal remote sensing over heterogeneous urban and suburban landscapes using sensor-driven super-resolution.利用传感器驱动的超分辨率进行非均质地表城市和郊区的热遥感
PLoS One. 2022 Apr 6;17(4):e0266541. doi: 10.1371/journal.pone.0266541. eCollection 2022.
5
Research on the Spatio-Temporal Impacts of Environmental Factors on the Fresh Agricultural Product Supply Chain and the Spatial Differentiation Issue-An Empirical Research on 31 Chinese Provinces.环境因素对新鲜农产品供应链时空影响及空间分异问题研究——基于中国 31 个省份的实证研究。
Int J Environ Res Public Health. 2021 Nov 19;18(22):12141. doi: 10.3390/ijerph182212141.
PLoS One. 2020 Oct 8;15(10):e0224959. doi: 10.1371/journal.pone.0224959. eCollection 2020.
4
On the influence of density and morphology on the Urban Heat Island intensity.密度和形态对城市热岛强度的影响。
Nat Commun. 2020 May 27;11(1):2647. doi: 10.1038/s41467-020-16461-9.
5
Paradoxical impact of sprawling intra-Urban Heat Islets: Reducing mean surface temperatures while enhancing local extremes.城市热岛内部蔓延的悖论性影响:降低平均地表温度的同时加剧局部极端温度。
Sci Rep. 2019 Dec 23;9(1):19681. doi: 10.1038/s41598-019-56091-w.
6
Magnitude of urban heat islands largely explained by climate and population.城市热岛效应的规模在很大程度上可以用气候和人口来解释。
Nature. 2019 Sep;573(7772):55-60. doi: 10.1038/s41586-019-1512-9. Epub 2019 Sep 4.
7
Examining seasonal effect of urban heat island in a coastal city.探讨沿海城市城市热岛的季节性效应。
PLoS One. 2019 Jun 14;14(6):e0217850. doi: 10.1371/journal.pone.0217850. eCollection 2019.
8
Demand prediction and regulation zoning of urban-industrial land: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China.城市工业用地需求预测与调控分区:来自中国京津冀城市群的证据。
Environ Monit Assess. 2019 Jun 5;191(7):412. doi: 10.1007/s10661-019-7547-4.
9
Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China.评估中国不同气候带地表城市热岛与景观格局之间的关系。
Sci Rep. 2017 Aug 24;7(1):9337. doi: 10.1038/s41598-017-09628-w.
10
Flip flop of Day-night and Summer-Winter Surface Urban Heat Island Intensity in India.印度日夜间和夏冬季节表面城市热岛强度的转换。
Sci Rep. 2017 Jan 9;7:40178. doi: 10.1038/srep40178.