引用本文:武涛,曹隽,唐历敏.“双碳”背景下南京城市环境热脆弱性评价及影响因素分析[J].环境监控与预警,2025,17(2):29-40
WU Tao,CAO Jun,TANG Limin.Heat Vulnerability Assessment and Influence Factor Analysis of Urban Environment under the Background of “Dual Carbon Targets”: A Case Study of Nanjing Main Urban Area[J].Environmental Monitoring and Forewarning,2025,17(2):29-40
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 94次   下载 20 本文二维码信息
码上扫一扫!
分享到: 微信 更多
“双碳”背景下南京城市环境热脆弱性评价及影响因素分析
武涛1,曹隽2*,唐历敏2
1. 南京农业大学,江苏 南京 210095; 2. 江苏省城市规划设计研究院,江苏 南京 210019
摘要:
选择长三角地区热脆弱性较高的南京主城区,采用对城市热环境有影响的一系列指标,包括美国陆地卫星8号(Landsat 8)反演获得的地表温度以及气象、植被、建筑和不透水面等指标,通过主成分分析法和多因子加权法,建立城市热环境风险和热脆弱性评价体系,计算热脆弱性复合指标,确定城市不同区域的热脆弱性,并分析影响热脆弱性的主要因素。结果表明:(1)影响热脆弱性的4个主要因素分别为植被、气象、环境和城市情况,其中植被覆盖度和绿地率对热脆弱性是至关重要的影响因子;(2)南京主城区热脆弱性的空间格局表现为从中心城区到周边城区呈梯度下降趋势,热脆弱性最高的区域集中在老城区和新开发但绿地生态效益没有充分发挥的区域;(3)影响各区域热脆弱性的主导因素各不相同,中心城区受建筑占地率和不透水面比率等城市因素,以及热岛效应和雨岛效应等环境因素影响最大,导致热脆弱性很高,而中心城区以外的周边区域受植被和气象因素的影响较大,热脆弱性相对较低。热脆弱性评价框架(HVAF)可作为持续监测的工具和决策支持系统,帮助城市提高热环境管理水平,更好地应对热环境风险。
关键词:  城市环境  热脆弱性  双碳目标  主成分分析法  南京
DOI:DOI:10.3969/j.issn.1674-6732.2025.02.005
分类号:X513
基金项目:江苏省建设系统科技项目(2022ZD005)
Heat Vulnerability Assessment and Influence Factor Analysis of Urban Environment under the Background of “Dual Carbon Targets”: A Case Study of Nanjing Main Urban Area
WU Tao1, CAO Jun2*, TANG Limin2
1. Nanjing Agricultural University,Nanjing, Jiangsu 210095, China;2. Jiangsu Institute of Urban Planning and Design, Nanjing, Jiangsu 210019, China
Abstract:
The main urban area of Nanjing, which has a high heat vulnerability in the Yangtze River Delta region, was selected as the research area. This research adopted a series of indicators that have an impact on the urban heat environment, including land surface temperature obtained by Landsat 8 based inversion, meteorological parameters, vegetation, buildings and impervious land surface, etc, and established an urban heat environment risk and heat vulnerability assessment system through principal component analysis and multi-factor weighting method. The composite index of heat vulnerability was calculated to determine the heat vulnerability of each urban area, and the main factors affecting the heat vulnerability were analysed. The results showed that:(1) Vegetation, meteorology, environment, and urban conditions were the main factors affecting thermal vulnerability, and vegetation coverage and green space ratio are crucial affecting factors.(2) The spatial pattern of heat vulnerability in the main urban area of Nanjing showed a gradient decline from the central urban area to the surrounding area, and the areas with the highest heat vulnerability were concentrated in the old urban area and the newly developed areas where the ecological benefits of green space were not fully utilized;(3) The dominant factors affecting the heat vulnerability of different regions are different. The central urban area is most affected by urban factors such as buildings and impervious land surface, as well as environmental factors such as heat island effect and rain island effect, resulting in a high heat vulnerability, while the surrounding area is more affected by vegetation and meteorological factors, and the heat vulnerability is relatively low. The Heat Vulnerability Assessment Framework(HVAF) can be used as a continuous monitoring tool and decision support system to help cities improve their heat environment management and make more rational decisions to better cope with environmental heat risks.
Key words:  Urban environment  Heat vulnerability  Dual carbon targets  Principal component analysis(PCA)  Nanjing