Heterogenous impact of background meteorological factors on cooling effect of two typical urban parks: Evidence from Shanghai, China DOI

Xiaolei Geng,

Dou Zhang, Wei Sun

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 265, P. 112024 - 112024

Published: Aug. 29, 2024

Language: Английский

Enhanced observations from an optimized soil-canopy-photosynthesis and energy flux model revealed evapotranspiration-shading cooling dynamics of urban vegetation during extreme heat DOI
Zhaowu Yu, Jiaqi Chen, Jike Chen

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 305, P. 114098 - 114098

Published: March 11, 2024

Language: Английский

Citations

46

Constructing an urban heat island network based on connectivity perspective: A case study of Harbin, China DOI Creative Commons

Ziyue Zhao,

Wen Li, Junling Zhang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111665 - 111665

Published: Feb. 1, 2024

Accurately identifying the key areas of urban heat islands (UHIs) is crucial for effectively mitigating UHI effect. Current research has mainly focused on independent island patches while neglecting impact their interconnectivity effects. To address this gap, we conducted a study constructing networks from connectivity perspective. First, used morphological spatial pattern analysis (MSPA) to identify sources and evaluate significance. Subsequently, using land use data, constructed thermal diffusion resistance surface assessed its characteristics. Finally, applied circuit theory corridors nodes among sources. The main area Harbin was as area, following findings were obtained: (1) identified total 36 source areas, which 2 categorized having highest importance level 9 second-highest level. (2) distribution in exhibited distinct north–south pattern, with higher values obtained north lower south. (3) We 71 heat-connected 35 nodes, most located northern part area. These results hold significant theoretical practical implications alleviating regional UHIs enhancing climate adaptation capacity.

Language: Английский

Citations

16

Green-gray imbalance: Rapid urbanization reduces the probability of green space exposure in early 21st century China DOI
Jinyu Hu, Fan Zhang, Qiu Bing

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 933, P. 173168 - 173168

Published: May 11, 2024

Language: Английский

Citations

13

Study on temperature regulation function of green spaces at community scale in high-density urban areas and planning design strategies DOI
Liwen Sun, Changkun Xie,

Yifeng Qin

et al.

Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: 101, P. 128511 - 128511

Published: Sept. 13, 2024

Language: Английский

Citations

9

The cooling capacity of urban vegetation and its driving force under extreme hot weather: A comparative study between dry-hot and humid-hot cities DOI
Zhibin Ren,

Chengcong Wang,

Yüjie Guo

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 263, P. 111901 - 111901

Published: July 30, 2024

Language: Английский

Citations

8

The Impacts and Thresholds Detection of 2D/3D Urban Morphology on the Heat Island Effects at the Functional Zone in Megacity during Heatwave Event DOI
Yicong Chen,

Weibo Ma,

Yamei Shao

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106002 - 106002

Published: Nov. 1, 2024

Language: Английский

Citations

6

3D compact form as the key role in the cooling effect of greenspace landscape pattern DOI Creative Commons
Yujia Bai, Kai Wang, Yin Ren

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111776 - 111776

Published: March 1, 2024

Climate change and urbanization have led to an increase in extreme weather urban heat islands. Green space can help regulate the thermal environment, but previous studies focused on two-dimensional (2D) indicators, neglecting intrinsic three-dimensional (3D) characteristics of green space. Therefore, we developed a set 3D landscape indices define configurations, including characteristic, shape, compactness, based ecology law universal gravity, quantify its benefits for environment. We collected high-resolution LiDAR point cloud data from Siming Mountain, China, calculate both 2D patterns investigate their effects land surface temperature (LST) using correlation analysis spatial statistical methods. Our study revealed: (1) All selected had significant negative effect LST, with non-linear enhancement when or interacted. (2) The compactness index (VCI) could be most reliable concise explain LST distribution. Adjusting VCI allowed us reduce area by up 3.71 °C summer 2.14 winter. However, overly compact above threshold lead higher summer. (3) Terrain weaker winter than summer, it showed stronger interaction form form. concluded that utilized as key factor maximizing cooling effect, taking into account terrain factors seasonal variations. shed light scientific planning aiming at optimizing environment more sustainable forest habitats.

Language: Английский

Citations

5

Optimizing urban blue-green space in climate adaptive planning: a systematic review of threshold value of efficiency thresholds DOI Creative Commons
Mengyao Han, Tingting Zhang,

貞子 見寺

et al.

Landscape Ecology, Journal Year: 2025, Volume and Issue: 40(1)

Published: Jan. 5, 2025

Abstract Context Although various methods exist to mitigate the urban heat island (UHI) effect, blue-green spaces (UBGS) are considered particularly effective. Understanding threshold value of efficiency (TVoE) for UBGS can optimize land use and spatial planning. Objectives This study systematically reviews TVoE provide managers landscape designers with comprehensive insights climate-adaptive We aim summarize distribution patterns influencing factors TVoE, identify current research limitations future directions offer planning recommendations. Methods conducted a systematic literature review (SLR) following PRISMA guidelines, analyzing publications on from Web Science, PubMed, Scopus databases. Results The influenced by types, latitude, climate. Generally, green (UGS) increases decreasing latitude increasing humidity, whereas parks blue (UBS) decreases humidity. studies reviewed focus impact features cooling effects, while patch surrounding environmental meteorological less frequently mentioned. Cost-effective should prioritize UBS complex shapes in low-latitude, humid regions, high-latitude, arid areas focusing UGS regular shapes. Future explore vertical structures within UBGS, factors, Local Climate Zones (LCZ) enhance understanding

Language: Английский

Citations

0

Unmanned Aerial Vehicles based low-altitude economy with lifecycle techno-economic-environmental analysis for Sustainable and Smart Cities DOI
Yuekuan Zhou

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145050 - 145050

Published: Feb. 1, 2025

Language: Английский

Citations

0

Trees’ cooling amplified the effect of air purification in Shanxi DOI
Xiaoyu Yu, Xueyan Cheng, Jianquan Dong

et al.

Applied Geography, Journal Year: 2025, Volume and Issue: 177, P. 103569 - 103569

Published: Feb. 26, 2025

Language: Английский

Citations

0