• 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

中国北方城市表面对气候变化的敏感度不如农村。

Less sensitive of urban surface to climate variability than rural in Northern China.

机构信息

Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan 430074, China.

Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan 430074, China; Key Laboratory for National Geography State Monitoring (National Administration of Surveying, Mapping and Geoinformation), China.

出版信息

Sci Total Environ. 2018 Jul 1;628-629:650-660. doi: 10.1016/j.scitotenv.2018.02.087. Epub 2018 Feb 20.

DOI:10.1016/j.scitotenv.2018.02.087
PMID:29454206
Abstract

In this study, the relationships between interannual variations of surface urban heat islands (SUHIs) and climate variability were studied in 31 cities of China for the period 2001-2016. For cold and dry Northern China, it was found that the interannual variations of SUHI intensity (SUHII, land surface temperature (LST) in urban minus rural) in urban cores was significantly (p<0.05) and negatively correlated with rural LST in 9 (in summer days (SDs)) and 8 (in winter days (WDs)) of the 15 northern cities, respectively. In addition, the daytime LST differences between hot summers and other summers and between cold winters and other winters were generally lower in urban cores (1.141°C for SDs and 2.535°C for WDs) than in rural areas (1.890°C for SDs and 3.377°C for WDs). The standard deviation was further used to reflect the interannual stabilities of LST, enhanced vegetation index (EVI) and white sky albedo (WSA). Interestingly, the standard deviations of LST across 2001-2016 were generally lower in urban cores (0.994°C for SDs and 1.577°C for WDs) than in rural areas (1.431°C for SDs and 2.077°C for WDs). Similar results were observed for EVI and WSA (winter). The results suggested that the urban surface is less sensitive to climate variability than rural areas in Northern China. Comparatively, most findings were less evident in hot and humid Southern China. Despite the whole world would become warmer or colder in future, the insensitivity of urban surface may mitigate its impacts in cold and dry Northern China. However, it does not mean that urbanization is totally good due to its environmental problem.

摘要

本研究以 2001-2016 年中国 31 个城市为研究对象,探讨了地表城市热岛(SUHI)的年际变化与气候变率之间的关系。对于寒冷干燥的中国北方地区,研究发现,在 15 个北方城市中的 9 个(夏季日)和 8 个(冬季日),城市核心区的 SUHI 强度(SUHII,城市地表温度(LST)减去农村 LST)年际变化与农村 LST 呈显著负相关(p<0.05)。此外,夏季和其他季节白天的 LST 差异以及冬季和其他季节夜间的 LST 差异,城市核心区普遍低于农村地区(夏季日为 1.141°C,冬季日为 2.535°C)。进一步使用标准差来反映 LST、增强植被指数(EVI)和白色天空反照率(WSA)的年际稳定性。有趣的是,2001-2016 年 LST 的标准差普遍低于农村地区(夏季日为 0.994°C,冬季日为 1.577°C)。EVI 和 WSA(冬季)也观察到了类似的结果。结果表明,与农村地区相比,中国北方城市表面对气候变率的敏感性较低。相比之下,在炎热潮湿的中国南方,这些发现的证据较少。尽管未来全球可能会变暖或变冷,但城市表面的不敏感性可能会减轻其对寒冷干燥的北方地区的影响。然而,这并不意味着由于城市化带来的环境问题,城市化就完全是好事。

相似文献

1
Less sensitive of urban surface to climate variability than rural in Northern China.中国北方城市表面对气候变化的敏感度不如农村。
Sci Total Environ. 2018 Jul 1;628-629:650-660. doi: 10.1016/j.scitotenv.2018.02.087. Epub 2018 Feb 20.
2
Interannual variations in surface urban heat island intensity and associated drivers in China.中国地表城市热岛强度的年际变化及其相关驱动因素。
J Environ Manage. 2018 Sep 15;222:86-94. doi: 10.1016/j.jenvman.2018.05.024. Epub 2018 May 25.
3
The Impact of the Land Cover Dynamics on Surface Urban Heat Island Variations in Semi-Arid Cities: A Case Study in Ahmedabad City, India, Using Multi-Sensor/Source Data.土地覆盖动态对半干旱城市地表城市热岛变化的影响:以印度艾哈迈达巴德市为例,利用多传感器/数据源数据
Sensors (Basel). 2019 Aug 26;19(17):3701. doi: 10.3390/s19173701.
4
Temporal trends of surface urban heat islands and associated determinants in major Chinese cities.中国主要城市地表城市热岛及其相关决定因素的时间变化趋势。
Sci Total Environ. 2017 Dec 31;609:742-754. doi: 10.1016/j.scitotenv.2017.07.217. Epub 2017 Jul 28.
5
Spatial-temporal change of land surface temperature across 285 cities in China: An urban-rural contrast perspective.中国 285 个城市的土地表面温度的时空变化:城乡对比视角。
Sci Total Environ. 2018 Sep 1;635:487-497. doi: 10.1016/j.scitotenv.2018.04.105. Epub 2018 Apr 24.
6
Comparison of land surface and air temperatures for quantifying summer and winter urban heat island in a snow climate city.比较雪气候城市夏季和冬季城市热岛的地表和空气温度。
J Environ Manage. 2020 Jul 1;265:110563. doi: 10.1016/j.jenvman.2020.110563. Epub 2020 Apr 9.
7
Investigating the urbanization process and its impact on vegetation change and urban heat island in Wuhan, China.研究中国武汉的城市化进程及其对植被变化和城市热岛的影响。
Environ Sci Pollut Res Int. 2019 Oct;26(30):30808-30825. doi: 10.1007/s11356-019-06273-w. Epub 2019 Aug 23.
8
Non-negligible clear-sky biases of satellite thermal infrared observations for analyzing surface urban heat island intensity: A case study in China.用于分析地表城市热岛强度的卫星热红外观测中不可忽视的晴空偏差:以中国为例的一项研究
Sci Total Environ. 2024 Nov 1;949:174928. doi: 10.1016/j.scitotenv.2024.174928. Epub 2024 Jul 29.
9
Exploring diurnal cycles of surface urban heat island intensity in Boston with land surface temperature data derived from GOES-R geostationary satellites.利用源自GOES-R地球静止卫星的地表温度数据探索波士顿地表城市热岛强度的日循环。
Sci Total Environ. 2021 Apr 1;763:144224. doi: 10.1016/j.scitotenv.2020.144224. Epub 2020 Dec 25.
10
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.

引用本文的文献

1
Continental Patterns of Phenotypic Variation Along Replicated Urban Gradients: A Mega-Analysis.沿重复城市梯度的表型变异大陆模式:一项元分析。
Ecol Lett. 2025 Jul;28(7):e70180. doi: 10.1111/ele.70180.
2
Multidimensional assessment of the spatiotemporal evolution, driving mechanisms, and future predictions of urban heat islands in Jinan, China.中国济南城市热岛时空演变、驱动机制及未来预测的多维评估
Sci Rep. 2025 Apr 1;15(1):11056. doi: 10.1038/s41598-025-86199-1.
3
Identifying the Impacts of Climate Change and Human Activities on Vegetation Cover Changes: A Case Study of the Yangtze River Basin, China.
识别气候变化和人类活动对植被覆盖变化的影响:以中国长江流域为例。
Int J Environ Res Public Health. 2022 May 20;19(10):6239. doi: 10.3390/ijerph19106239.