Mitigating Effect of Urban Green Spaces on Surface Urban Heat Island during Summer Period on an Example of a Medium Size Town of Zvolen, Slovakia DOI Creative Commons
Veronika Murtinová, Igor Gallay, Branislav Olah

et al.

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(18), P. 4492 - 4492

Published: Sept. 8, 2022

Climate change affects the urban population’s health and quality of life. Urban green spaces (UGS) underpin several essential ecosystem services, amongst them climate regulation. vegetation mitigates high temperatures and, thus, reduces heat stress for residents. The study aimed to verify whether Surface Heat Island (SUHI) effect manifests itself even in a medium size town (Zvolen, Slovakia) surrounded by agricultural forested landscape quantify temperature mitigating spaces. Land surface (LST) SUHI distribution were derived from Landsat data during summer months 2010–2021. To statistically prove cooling vegetation, we tested (by one-way ANOVA) LST within three zones Zvolen municipality defined Copernicus imperviousness density data: (a) dense area (31–100% impervious surfaces), (b) discontinuous (1–30% (c) (0% open land surrounding surfaces). results showed statistical difference between all areas (all zones) land. Moreover, UGS was different compared other zones. mean through years 2010–2021 3.5 °C, with maximum 4.9 °C minimum 1.7 favor varied studied period. warmer weather, higher difference, while at end August, on notably colder day, there no significant them. confirmed that are significantly cooler hot days, they can mitigate local climate.

Language: Английский

Analysis of urban wetland park cooling effects and their potential influence factors: Evidence from 477 urban wetland parks in China DOI Creative Commons
Yue Deng, Yuan Yao, Lin Zhang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 156, P. 111103 - 111103

Published: Oct. 19, 2023

Urban wetland parks can lower surrounding temperatures efficiently and play a critical role in mitigating extreme urban high-temperature weather. Understanding the park cooling effects their potential influence factors is necessary for management plan of parks. This study first crawled 477 from Baidu Map classified into river-based lake-based based on distance to rivers. Then, this investigated during warm (April–September) cold (January–March, October–December) seasons largest (LCD), intensity (LCI), random forest (RF) partial least squares (PLS) regression models, Spearman's correlation coefficient. The results show that: (1) Both exhibit stronger effect season. Lake-based have higher LCI; however, LCD. (2) RF model outperforms PLS modeling relationship between LCI factors, with 5.68% increase average RMSE 20.64% R2.(3) water cover fraction inside most influential factor. There strong similarity relative importance indicates new should be located priority regions more impervious layers, example, high-density building areas. Besides, limit proportion layers less than 13% ensure bodies at 70% obtain effect. Our reinforces understanding has implications better mitigate heat problem.

Language: Английский

Citations

13

Quantifying Urban Spatial Morphology Indicators on the Green Areas Cooling Effect: The Case of Changsha, China, a Subtropical City DOI Creative Commons
Jiang Li, Hao Wang, Xiaoxi Cai

et al.

Land, Journal Year: 2024, Volume and Issue: 13(6), P. 757 - 757

Published: May 28, 2024

Green city areas are crucial in mitigating the Urban Heat Island Effect (UHI). However, cooling effect of green can be influenced by surrounding complex urban spatial environment. This study focuses on Changsha, a subtropical China, where 40 were screened and analyzed. The aims to quantify specific impact morphology areas. Through statistical correlation regression analysis, this focused six indicators: building density (BD), floor area ratio (BFR), volume (BVD), evenness index (BEI), average height (BH), standard deviation (BSD). results indicate that could morphology. Factors such as BD, BFR, BH, BSD found significantly correlated with areas, BH showing strongest influence. BD BFR negatively correlated, while positively correlated. range values determined achieve optimal conditions for Additionally, relative position neighboring affects is most pronounced situated south These findings provide solid foundation planning around spaces offer scientifically sound evidence UHI.

Language: Английский

Citations

5

A comprehensive review of thermal comfort evaluation methods and influencing factors for urban parks DOI
Peiping Zheng, Runming Yao, James O’Donnell

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112159 - 112159

Published: Oct. 1, 2024

Language: Английский

Citations

5

A new method for evaluate the cold island effect in cities DOI
Chunming Hu,

Shuaiqi Li,

Xi Dong

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 54, P. 101846 - 101846

Published: Feb. 24, 2024

Language: Английский

Citations

4

Design and Site-Related Factors Impacting the Cooling Performance of Urban Parks in Different Climate Zones: A Systematic Review DOI Creative Commons
Maryam Norouzi, Hing-Wah Chau, Elmira Jamei

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2175 - 2175

Published: Dec. 13, 2024

As cities expand rapidly, the combined effects of urbanization, global warming, and intensification Urban Heat Island (UHI) phenomenon have become more challenging for urban environments. In response, Green Infrastructure (UGI) has gained attention as a practical effective tool mitigating UHI improving climate change. Among various UGIs, parks been subject numerous studies due to their proven ability reduce air surface temperatures, improve local microclimates, enhance overall livability. This systematic review synthesizes existing body research identify key factors that influence cooling performance parks. A total 131 peer-reviewed between 2014 2024 were analyzed, focusing on both design-related site-related play pivotal roles in park’s effectiveness. Design-related include park size, shape, vegetation density composition, presence water bodies, impervious surfaces while encompass background conditions, proximity natural configuration surrounding The findings reveal tree coverage, bodies are most influential enhancing performance. For factors, wind speed direction emerged critical components maximizing benefits. Research also showed can affect by influencing airflow patterns shading. Understanding these dynamics is crucial worldwide they strive design address specific environmental climatic challenges. this offer guidance landscape architects planners, enabling them deliver enhanced benefits, especially when face rising temperatures an increasing number heatwaves.

Language: Английский

Citations

4

Global Climatology of the Daytime Surface Cooling of Urban Parks Using Satellite Observations DOI Creative Commons
Ilias Agathangelidis,

Georgios Blougouras,

Constantinos Cartalis

et al.

Geophysical Research Letters, Journal Year: 2025, Volume and Issue: 52(2)

Published: Jan. 15, 2025

Abstract Green infrastructure‐based heat mitigation strategies can help alleviate the overheating burden on urban residents. While cooling effect of parks has been explored in individual satellite‐based studies, a global, multi‐year investigation lacking. This study provides comprehensive global assessment daytime surface park cool island ( SPCI ) climatology, using land temperatures from 2,083 systematically selected worldwide (2013–2022). Through detailed selection and data stratification, key drivers influencing observed intensity are isolated. The analysis reveals that is strongly linked to type, with well‐treed being, average, 3.4°C, cooler than surrounding area during summer. It further investigated how influenced by seasonal variations, droughts, morphology across diverse background climates. These findings, along developed set, offer critical insights for designing climate‐resilient green spaces.

Language: Английский

Citations

0

Investigating the influence of urban green spaces on urban heat island mitigation – taking four districts in Shijiazhuang as an example DOI Creative Commons
Nan Zhang,

Qinhua Ding,

Haitao Wang

et al.

Journal of Environmental Engineering and Landscape Management, Journal Year: 2025, Volume and Issue: 33(1), P. 42 - 54

Published: Feb. 4, 2025

The primary objective of this scholarly investigation is to elucidate the intricate interplay between urban heat island (UHI) effect and municipal green spaces. geographical focus includes four areas with highest urbanization rate in Shijiazhuang, China. To conduct survey, ECOSTRESS remote sensing imagery was acquired during distinct temporal intervals–morning, midday, evening. data were collected using equal-scale city blocks performed by OpenStreetMap network images at different times (morning, noon evening). Surface temperature inversion satellite ArcGIS 10.7 software obtain surface temperature. overarching aim discern nuanced impact parks on temperatures their proximate environs summer season. findings revealed that, order effectively ameliorate discernible (SUH), rejuvenation initiatives ought be directed toward sites maintaining a distance from spaces within range 160 370 meters. Furthermore, augmentation space configurations recommended vicinities characterized building densities falling 0.2 0.3. Notably, locales marked high density, park layouts should adhere more regularized design renovation process. Additionally, it advisable ensure that spatial separation exceeds 900 These empirical insights are poised enhance comprehension planners regarding dynamics through which exert influence temperatures. discerned patterns furnish pragmatic guidance for mitigating effect, thereby offering invaluable recommendations planning endeavors.

Language: Английский

Citations

0

Potencjał chłodzący terenów zieleni na przykładzie parków miejskich Poznania i Wrocławia DOI Open Access
Damian Łowicki,

Edyta Kuklińska

Rozwój Regionalny i Polityka Regionalna, Journal Year: 2025, Volume and Issue: 73, P. 253 - 271

Published: March 6, 2025

Celem niniejszych badań jest wskazanie uniwersalnej metody oceny wpływu terenów zieleni na termikę otoczenia z wykorzystaniem zdjęć satelitarnych. Przeprowadzono pilotażowe badania dla dwóch miast: Poznania i Wrocławia. Wykorzystano publicznie dostępne sceny satelitarne Landsat 8–9 oraz dane projektu Copernicus, stąd wypracowana przyjęta w badaniach miast metodyka pozwala rozszerzenie inne miasta, także poza Polską. Badania wykazały, że rozpiętość temperatury powierzchni ziemi wynikającej pokrycia terenu wynosi około 11°C tereny odgrywają bardzo istotną rolę chłodzeniu parków. W Poznaniu średnie buforze 0–100 m były o 0,6°C niższe niż 100–200 m, we Wrocławiu różnica ta wynosiła 0,7°C. Na temperaturę wpływ miał indeks wegetacji parków (NDVI) wysokość budynków, a przypadku bufora wokół parku – uszczelnienie powierzchni.

Citations

0

Quantifying the Urban Parks' Cooling Effects on Land Surface Temperature in Istanbul Using Random Forest DOI Creative Commons

Reyhan Sağlam,

Betül Uygur Erdoğan

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

Abstract Urban parks are critical in mitigating urban heat island effects, regulating temperature, and improving microclimates. This study investigates the cooling impact of twenty Başakşehir, Istanbul, using remote sensing techniques, GIS-based analysis, statistical modeling. Key environmental variables, including Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), Built-up (NDBI), Water (NDWI), were analyzed within buffer zones ranging from 100 to 900 meters. use classes classified Random Forest algorithm, a robust machine learning technique commonly applied spatial analysis. The revealed that significantly have lower LST, with effect persisting up 500 meters (p > 0.05) decreasing beyond < 0.05). It was observed surface temperatures varied between 33.3°C 37.7°C summer 6.8°C 9.5°C winter. When land examined, it determined areas 30–35% water surfaces remained relatively low (0–2%), indicating contribution limited. Among indices evaluated, NDVI emerged as most influential factor, positively correlating Park Cooling Intensity (PCI, r = 0.93). Parks larger sizes showed more substantial Efficiency (PCE) Gradient (PCG) metrics highlighting their broader impact. These findings underscore necessity strategic planning optimize park distribution size, ensuring sustainable benefits rapidly urbanizing areas.

Language: Английский

Citations

0

Quantifying the influence of wetland park cooling on adjacent building energy consumption based on local climate zone scheme DOI
Xiao Yu Tian,

Lin Liu,

Yilin Wang

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135739 - 135739

Published: March 1, 2025

Language: Английский

Citations

0