A county-level analysis of spatiotemporal variation and human causes of urban heat islands in the Guangdong-Hong Kong-Macao Greater Bay Area

IF 3.8 Q2 ENVIRONMENTAL SCIENCES City and Environment Interactions Pub Date : 2025-04-01 Epub Date: 2025-03-19 DOI:10.1016/j.cacint.2025.100194
Xinyue Gao , Hangnan Yu , Lan Li , Jiangtao Yu
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Abstract

The Urban Heat Island (UHI) effect, poses significant challenges in rapidly developing regions like the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). Understanding the anthropogenic drivers of UHI and their interactions is critical for effective urban planning and climate mitigation strategies. To investigate the anthropogenic drivers and their interactions in GBA UHI over a long time series, this study employed Sen’s slope and the Mann-Kendall (MK) test for trend analysis. This study examined the impacts of nine human activity factors on UHI formation using the geodetector. The results indicate that from 1990 to 2020, the GBA experienced a notable increase in UHI, with the average land surface temperature increasing by 5.25 degrees Kelvin. The areas with notable increasing trends were mainly Dongguan City, much of Shenzhen City, northwestern Guangzhou, and some eastern counties of Foshan City. Interaction factor analysis revealed that human settlement intensity had the highest influence, with the gross domestic product (GDP) and building height (BH) being the most significant factors, with q values of 0.434, 0.319, and 0.451, respectively. Notably, the interaction between carbon emission intensity and land development exhibited the highest explanatory power for UHI changes, with a q-value of 0.85. These findings can promote ecologically conscious development in urban agglomerations and provide insights for urban planners.
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粤港澳大湾区城市热岛时空变化及人为原因的县域分析
城市热岛效应是粤港澳大湾区等快速发展地区面临的重大挑战。了解城市热岛的人为驱动因素及其相互作用对于有效的城市规划和气候缓解战略至关重要。为了研究大湾区城市热岛的长时间序列人为驱动因素及其相互作用,本研究采用Sen’s slope和Mann-Kendall (MK)检验进行趋势分析。本研究利用地理探测器考察了9种人类活动因素对热岛形成的影响。结果表明:1990 ~ 2020年,大湾区热岛指数显著上升,地表平均温度上升5.25°k。增长趋势显著的地区主要是东莞市、深圳市大部分地区、广州西北部和佛山市东部部分县。交互作用因子分析结果表明,人类住区强度的影响最大,国内生产总值(GDP)和建筑高度(BH)的影响最显著,其q值分别为0.434、0.319和0.451。值得注意的是,碳排放强度与土地开发之间的交互作用对城市热岛指数的解释能力最强,其q值为0.85。这些发现可以促进城市群生态意识的发展,并为城市规划者提供参考。
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来源期刊
City and Environment Interactions
City and Environment Interactions Social Sciences-Urban Studies
CiteScore
6.00
自引率
3.00%
发文量
15
审稿时长
27 days
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