Comparing the Impact of Urban Park Landscape Design Parameters on the Thermal Environment of Surrounding Low-Rise and High-Rise Neighborhoods DOI Open Access

Sihan Xue,

Yuan Liang, Kun Wang

и другие.

Forests, Год журнала: 2023, Номер 14(8), С. 1682 - 1682

Опубликована: Авг. 19, 2023

Scientific and reasonable planning of urban forests is crucial to mitigate the UHI effect create a comfortable local climate. This study focused on maximizing synergistic landscape design parameters (i.e., Landscape Shape Index (LSI), Percentage Green Area (PGA), Park (PA), Water (PWA)) through orthogonal experimental numerical simulation improve regulation thermal environment parks in surrounding blocks. For neighborhood low-rise buildings, influence PGA was most significant morning with contribution rate 50.43%, while PWA influential during midday evening, rates 73.02% 52.30%, respectively. In contrast, PA 62.11% for high-rise building neighborhood, impact 43.99%. addition, played vital roles at night. proposed combinations that met requirements two types neighborhoods, which would help guide construction forests.

Язык: Английский

Cooling island effect in urban parks from the perspective of internal park landscape DOI Creative Commons

Xiaoyu Cai,

Jun Yang, Yuqing Zhang

и другие.

Humanities and Social Sciences Communications, Год журнала: 2023, Номер 10(1)

Опубликована: Окт. 10, 2023

Abstract Urban parks can effectively reduce surface temperatures, which is an important strategic approach to reducing the urban heat island effect. Quantifying cooling effect of and identifying their main internal influencing factors for improving thermal environment, achieving maximum benefits, sustainability. In this study, we extracted data frobut often unrealisticm 28 in Zhengzhou, China. We combined multivariate data, such as Landsat 8 retrieve land temperature (LST), extract park interior landscape, quantify using three indices: distance ( L ∆max ), difference magnitude (∆ T max gradient G temp ). Furthermore, relationship between landscape characteristics average LST indices was analyzed. The results showed that different buffer ranges affect LST-distance fitting parks, a 300-m zone optimal interval. However, specific should be analyzed select range index calculation errors. Additionally, mean values LST, ∆ , Zhengzhou were 34.11, 3.22 °C, 194.02 m, 1.78 °C/hm, respectively. Park perimeter (PP), area, green area (GA), shape (LSI) both significantly correlated with associated maintaining low parks. mainly affected by GA, LSI, perimeter-area ratio, whereas positively PP. Finally, threshold value efficiency 0.83 ha, comprehensive every aspect.

Язык: Английский

Процитировано

45

Assessing urban surface thermal environment and heat health risk in Chinese cities: A twenty-year study DOI
Chunxiao Zhang, Yang Yang, Le Yu

и другие.

Urban Climate, Год журнала: 2025, Номер 59, С. 102304 - 102304

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

2

Understanding fine-scale heat health risks and the role of green infrastructure based on remote sensing and socioeconomic data in the megacity of Beijing, China DOI Creative Commons
Fukang Zha, Linlin Lu, Ran Wang

и другие.

Ecological Indicators, Год журнала: 2024, Номер 160, С. 111847 - 111847

Опубликована: Март 1, 2024

The frequency and intensity of extreme heat events have been increasing due to the combined effects global climate change urbanization. Urban green infrastructure, including urban blue space, has recognized as an effective measure mitigate heat. However, infrastructure on health risk were insufficiently addressed. To address this gap, we conducted a comprehensive assessment in megacity Beijing with rapidly aging population. Various data sources collected, remote sensing images, meteorological from weather stations, point interest(POI) data, social statistics. Following triangle theory, hazard, population exposure, vulnerability components evaluated at census tract level. weights indicators determined using Principal Component Analysis. Moran's I Getis-Ord Gi* statistics used identify hotspot areas. evaluate risk, Green Infrastructure Index (GII) was created quantitatively abundance accessibility infrastructure. analysis, spatially-explicit Heat Health Risk (HHRI), indicated that HHRI central area inhabited by high-income groups is 2.66 times its suburban counterpart. primary driving factors identified high density elevated temperatures. Census tracts abundant exhibited low likelihood becoming high-risk areas, probability less than 2%, while regions limited had 54.26% This highlights significance expanding coverage spaces water areas reduce risk. findings provide valuable insights for development mitigation measures enhancing thermal resilience through nature-based adaptation.

Язык: Английский

Процитировано

14

Matching supply and demand of cooling service provided by urban green and blue space DOI

Yasha Wang,

Wanlu Ouyang, Jinquan Zhang

и другие.

Urban forestry & urban greening, Год журнала: 2024, Номер 96, С. 128338 - 128338

Опубликована: Апрель 25, 2024

Язык: Английский

Процитировано

9

A study of size threshold for cooling effect in urban parks and their cooling accessibility and equity DOI Creative Commons
Jun Zhang, Huina Zhang,

Ruoming Qi

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Июль 13, 2024

Rapid urbanization has led to increasingly prominent urban heat island phenomena and social inequality. It is urgent quantify the threshold area of parks from multiple perspectives maximize cooling effect improve equity park services. Using 33 in Harbin City as research objects, four indices, i.e., intensity (PCI), distance (PCD), (PCA), efficiency (PCE), were used explore value (TVoE) size. The OD (origin-destination) matrix model was constructed assess spatial accessibility community range. Gini coefficient range accessibility. relative contribution each influencing factor indicator quantified through regression modeling. results showed that average PCI 3.27 ℃, PCD 277 m, PCA 115.35 ha, PCE 5.74. Gray space dominant for PCI, PCD, (relative contributions 100%, 31%, 19%, respectively). Park 28%). TVoE sizes based on calculated 82.37 ha 2.56 respectively. 39.2% 94.01% communities can reach ranges within 15 min walk mode transit mode, Approximately 18% neighborhood residents are experiencing severe inequities This study guide design maximizes effects, well inform city planners more equitable allocation resources.

Язык: Английский

Процитировано

9

Parks may not be effective enough to improve the thermal environment in Shanghai (China) as our modified H3SFCA method suggests DOI
Peng Zeng, Dachuan Shi, Yaoyi Liu

и другие.

Building and Environment, Год журнала: 2024, Номер 253, С. 111291 - 111291

Опубликована: Фев. 15, 2024

Язык: Английский

Процитировано

8

Enhanced Accessibility to Park Cooling Services in Developed Areas: Experimental Insights on the Walkability in Large Urban Agglomerations DOI
Pengcheng Li, Wen Wu,

Yanhong Yin

и другие.

Building and Environment, Год журнала: 2025, Номер 272, С. 112665 - 112665

Опубликована: Фев. 4, 2025

Язык: Английский

Процитировано

1

Research on the cool island effect of green spaces in megacity cores: A case study of the main urban area of Xi'an, China DOI
Kaili Zhang,

Qiqi Liu,

Bin Fang

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106255 - 106255

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Spatialized importance of key factors affecting park cooling intensity based on the park scale DOI

Zhihua Liu,

Lizhao Fu,

Chaofan Wu

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 99, С. 104952 - 104952

Опубликована: Сен. 21, 2023

Язык: Английский

Процитировано

19

Quantifying the cooling effect and benefits of urban parks: A case study of Hangzhou, China DOI
Andong Guo, Wenze Yue, Jun Yang

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105706 - 105706

Опубликована: Июль 26, 2024

Язык: Английский

Процитировано

8