Exploring the spatiotemporal impacts of urban green space patterns on the core area of urban heat island DOI Creative Commons
Jiachen Liu,

Jianting Wu,

Yong Yang

и другие.

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112254 - 112254

Опубликована: Июнь 17, 2024

Язык: Английский

Mitigation of urban heat island in China (2000–2020) through vegetation-induced cooling DOI
Bowei Wu, Yuanyuan Zhang, Yuan Wang

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 112, С. 105599 - 105599

Опубликована: Июнь 13, 2024

Язык: Английский

Процитировано

20

Impacts of Land Use Characteristics on Extreme Heat Events: Insights from Explainable Machine Learning Model DOI
Hangying Su, Zhuoxu Qi,

Q. Wang

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106139 - 106139

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

6

Assessing the differential impact of vegetated and built-up areas on heat exposure environment: A case study of Los Angeles DOI Creative Commons
Shengao Yi, Xiaojiang Li, Chenshuo Ma

и другие.

Building and Environment, Год журнала: 2025, Номер unknown, С. 112538 - 112538

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

4

Urban green space and albedo impacts on surface temperature across seven United States cities DOI Creative Commons
Ian A. Smith, M. Patricia Fabian,

Lucy R. Hutyra

и другие.

The Science of The Total Environment, Год журнала: 2022, Номер 857, С. 159663 - 159663

Опубликована: Окт. 24, 2022

Язык: Английский

Процитировано

52

Cooling Effect of Urban Blue and Green Spaces: A Case Study of Changsha, China DOI Open Access
Xinyi Qiu, Sung–Ho Kil, Hyun-Kil Jo

и другие.

International Journal of Environmental Research and Public Health, Год журнала: 2023, Номер 20(3), С. 2613 - 2613

Опубликована: Фев. 1, 2023

The cooling effects of blue–green spaces on the urban heat island effect are complex and different. purpose this study is to simulate how space changes with its size shape. 53 green patches 28 water bodies in Changsha were extracted based Landsat images. A surface fitting model was used quantitatively reveal relationship between results show that enhanced increasing size, then would become stable after a certain range (threshold). Certain thresholds identified blue areas (2.98 ha 3.15 ha, respectively) distance, (4.84 4.92 magnitude. In addition, an area 9.08 landscape shape index (LSI) 2.97 could achieve better distance (413.46 m); 29.4 LSI 1.75 magnitude (5.17 °C). These findings provide useful guidelines for planning improving livability other regions terrain climate conditions similar Changsha.

Язык: Английский

Процитировано

38

Effects of 2D/3D urban morphology on land surface temperature: Contribution, response, and interaction DOI Open Access
Bo Yuan, Liang Zhou,

Fengning Hu

и другие.

Urban Climate, Год журнала: 2023, Номер 53, С. 101791 - 101791

Опубликована: Дек. 26, 2023

Язык: Английский

Процитировано

37

Quantifying threshold and scale response of urban air and surface temperature to surrounding landscapes under extreme heat DOI Open Access
Xinyu Bai, Zhaowu Yu, Benyao Wang

и другие.

Building and Environment, Год журнала: 2023, Номер 247, С. 111029 - 111029

Опубликована: Ноя. 16, 2023

Язык: Английский

Процитировано

30

Assessing the Cooling Effect of Blue-Green Spaces: Implications for Urban Heat Island Mitigation DOI Open Access

Pritipadmaja Pritipadmaja,

Rahul Garg, Ashok Sharma

и другие.

Water, Год журнала: 2023, Номер 15(16), С. 2983 - 2983

Опубликована: Авг. 18, 2023

The Urban Heat Island (UHI) effect is a significant concern in today’s rapidly urbanising cities, with exacerbating heatwaves’ impact, urban livelihood, and environmental well-being. This study aims to assess the cooling of blue-green spaces Bhubaneswar, India, explore their implications for mitigating UHI effects. Satellite images were processed Google Earth Engine (GEE) produce information on spaces’ land surface temperatures (LST). Normalised Difference Vegetation Index (NDVI) Modified Water (MNDWI) employed quantify presence characteristics these spaces. findings revealed spatial variations LST, higher observed bare built-up areas lower proximity In addition, correlation analysis indicated strong influence index (NDBI) emphasising impact urbanisation local climate dynamics. demonstrated potential reducing Based results, strategic interventions proposed, such as increasing coverage green spaces, optimising access water bodies, integrating water-sensitive design principles into planning enhance effects foster more sustainable resilient environment. highlighted importance leveraging remote sensing GEE analyses. It provides valuable insights policymakers planners prioritise nature-based solutions heat mitigation Bhubaneswar other similar cities. Future research could delve deeper quantitative assessment benefits specific infrastructure socio-economic impacts communities.

Язык: Английский

Процитировано

28

Cooling efficacy of trees across cities is determined by background climate, urban morphology, and tree trait DOI Creative Commons
Haiwei Li, Yongling Zhao, Chenghao Wang

и другие.

Communications Earth & Environment, Год журнала: 2024, Номер 5(1)

Опубликована: Дек. 10, 2024

Abstract Urban planners and other stakeholders often view trees as the ultimate panacea for mitigating urban heat stress; however, their cooling efficacy varies globally is influenced by three primary factors: tree traits, morphology, climate conditions. This study analyzes 182 studies on effects of across 17 climates in 110 global cities or regions. Tree implementation reduces peak monthly temperatures to below 26 °C 83% cities. Trees can lower pedestrian-level up 12 through large radiation blockage transpiration. In tropical, temperate, continental climates, a mixed-use deciduous evergreen open morphology provides approximately 0.5 more than single species approach. arid predominate demonstrate effective within compact morphology. Our offers context-specific greening guidelines harness face warming.

Язык: Английский

Процитировано

13

Economic value of the hot-day cooling provided by urban green and blue space DOI Creative Commons
Laurence Jones, David Fletcher, Alice Fitch

и другие.

Urban forestry & urban greening, Год журнала: 2024, Номер 93, С. 128212 - 128212

Опубликована: Янв. 23, 2024

Increasing high temperatures due to climate change are exacerbated by urban heat island effects, resulting in a range of human health and economic impacts. The green blue infrastructure (GBI) cities that underpins nature-based solutions (NBS) can help alleviate hot-day temperatures. In this study we bring together multiple data sources evaluate the cooling benefit provided GBI terms avoided losses labour productivity, for eleven City Regions Great Britain, over ten-year period. We defined extent include (woodland, grassland parks, gardens) (rivers canals, lakes ponds) features within cities, derived aggregate factors areas each Region, applying additional buffer zones around larger features. collated gridded meteorology assess number hot-days exceeding 28 °C Wet Bulb Globe Temperature Region period 2008-2017, applied response functions loss worker productivity ten sectors. For (aggregated adjacent >200m2), gardens make up biggest component (26% extent) closely followed parks (24%), with woodland at 6%. factor ranged from 0.64 – 0.89 across Regions. was greatest London, its greater exposure hot days, contribution economy than other hottest year 2015, London £13.97 m. varied considerably one next, depending on meteorology, will increase under change.

Язык: Английский

Процитировано

12