The influence of internal spatial coupling characteristics of blue-green space on cooling benefit in metropolitan areas: Evidence form Hangzhou, China

IF 5.6 Q1 ENVIRONMENTAL SCIENCES Environmental and Sustainability Indicators Pub Date : 2025-02-01 Epub Date: 2024-12-16 DOI:10.1016/j.indic.2024.100558
Qianru Lu , Weifeng Qi , Dongye Yang , Mingyu Zhang
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Abstract

The phenomenon of urban thermal environment has become increasingly serious recently, with blue-green spaces playing a crucial role in cooling urban warming. However, the synergistic cooling effects of blue and green spaces, treated as distinct entities with unique cooling mechanisms, have not been extensively explored. This study addresses this gap by examining the internal spatial coupling characteristics of blue and green spaces and their impact on cooling benefit under varying high-temperature conditions and development densities in Hangzhou, China. This study uses the area-weighted cooling intensity and the mean land surface temperature to reflect the cooling benefit, and proposes an evaluation system for spatial coupling characteristics including internal scale relationships, distance relationships, and morphological relationships, while considering the built environment and integrated spatial features as control variables. Using stepwise multiple linear regression and geographically weighted regression, the study analyzes the correlation between these characteristics and cooling benefit across four days using 4 global datasets and 16 local datasets. Results indicate that spatial coupling significantly impact its cooling effects, with internal scale relationships having the greatest impact. The influence of spatial coupling relationships varies across different land-use densities, with more pronounced effects under typical high-temperature conditions compared to extreme heat. These findings offer urban planners valuable insights into optimizing the spatial relationship of blue-green spaces, helping to maximize their cooling benefit in limited space resource in metropolitan, ultimately enhancing urban resilience to climate change.
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蓝绿空间的内部空间耦合特征对大都市区降温效益的影响:中国杭州的证据
近年来,城市热环境现象日益严重,蓝绿空间在城市变暖降温中发挥着至关重要的作用。然而,作为具有独特冷却机制的不同实体,蓝色和绿色空间的协同冷却效果尚未得到广泛探索。本研究通过考察杭州不同高温条件和开发密度下蓝色和绿色空间的内部空间耦合特征及其对冷却效益的影响,解决了这一空白。本研究以面积加权降温强度和地表平均温度作为降温效益的反映指标,在考虑建筑环境和综合空间特征为控制变量的基础上,提出了包括内部尺度关系、距离关系和形态关系在内的空间耦合特征评价体系。该研究利用4个全球数据集和16个局部数据集,利用逐步多元线性回归和地理加权回归分析了这些特征与4天降温效益之间的相关性。结果表明,空间耦合对其降温效果有显著影响,其中内部尺度关系影响最大。不同土地利用密度对空间耦合关系的影响不同,典型高温条件下的影响比极端高温条件下的影响更为显著。这些发现为城市规划者优化蓝绿空间关系提供了有价值的见解,有助于在大都市有限的空间资源中最大化其降温效益,最终增强城市对气候变化的抵御能力。
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来源期刊
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
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