Intra-annual variations and determinants of canopy layer urban heat island in China using remotely sensed air temperature and apparent temperature DOI Creative Commons
Yuanzheng Li,

Zhizhi Feng,

Chaoqun Ma

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112512 - 112512

Published: Aug. 20, 2024

• Intra-annual changes of CLUHIs were explored in China using remotely sensed air temperature and apparent temperature. Comparisons conducted among various SUHIs. Twelve determinants studied for CLUHIIs based on diverse indices under ecological contexts. Canopy layer urban heat island (CLUHI) is closely related to about 4.7 billion residents' well-being. Compared with sparse observation stations, remote sensing can obtain spatially continuous temperature, which conducive intra-annual variation associated factors CLUHI over large regions. Such research scarce, especially from perspective. Thus, the spatio-temporal variations twelve intensities (CLUHIIs) investigated 917 region agglomerations China's five regions, near-surface other multi-source data, several spatial analysis mathematical statistic methods. The findings revealed that annual by mean temperatures most between 0.5 1.0 ℃, higher summer spring, larger North than South summer. maximum negative cities, rainless West China. generally had stronger minimum all seasons compared (most 2.0 ℃) varied across Significant positive correlations existed land surface ( p < 0.05). Nevertheless, obvious differences them. CLUHII was significantly negatively partially correlated total precipitation, urban–rural difference enhanced vegetation index albedo, nighttime light intensity, population density, sulfur dioxide concentration, insignificant population, area size landscape shape different degree. These provided valuable insights into research.

Language: Английский

Quantifying surface urban heat island variations and patterns: Comparison of two cities in three-stage dynamic rural–urban transition DOI

Haibo Yang,

Zhengrong Wu, Richard Dawson

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 109, P. 105538 - 105538

Published: May 22, 2024

Language: Английский

Citations

10
Non-negligible clear-sky biases of satellite thermal infrared observations for analyzing surface urban heat island intensity: A case study in China DOI
Jin Ma, Ji Zhou, Tao Zhang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 949, P. 174928 - 174928

Published: July 29, 2024

Language: Английский

Citations

4
Assessing Progress in Urban Climate Adaptation: A Review of Indicators for Heat‐ and Water‐Sensitive Urban Development DOI Creative Commons
Nisha Patel, Britta Jänicke,

René Burghardt

et al.

Climate Resilience and Sustainability, Journal Year: 2025, Volume and Issue: 4(1)

Published: Feb. 1, 2025

ABSTRACT An increasing number of cities in Germany and Europe are formulating adaptation strategies to address the consequences climate change. Nevertheless, quantifying whether these contribute alterations urban infrastructure promote climate‐sensitive development is challenging. This article aims explore possible indicators (UCAIs) from literature suitable for assessing implementation heat‐ water‐sensitive measures local municipalities, with a focus on Germany. In addition review, workshops discussions experts complemented deepened indicator selection process. As result, we identified 27 indicators, which were grouped into 5 key areas: (1) surface overheating indicators; (2) building type structure (3) green (4) soil‐sealing (5) indicators. Only few manage map several measures, avoiding conflicts other planning objectives, can be derived at national level show promise capturing small‐scale city. We concluded that, particular, such as cover, access greenery supply have high potential meet goals, while objectives trade‐offs. Overall, this review underscores necessity additional research testing formulate practical effective aspects development.

Language: Английский

Citations

0
Planning for heat beyond the big city: comparing smaller cities’ heat activities, opportunities, and constraints in California DOI Creative Commons
Gregory Pierce, C. J. Gabbe,

Lauren Dunlap

et al.

Local Environment, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: March 14, 2025

Addressing extreme heat has emerged as a key frontier of urban climate adaptation planning. However, most studies have focused on large cities, whereas the existing population lives and growth occurs in small- to medium-sized municipalities within metropolitan areas U.S. globally. We hypothesise based structuration theory that these smaller face fundamentally different constraints opportunities enhance their planning capabilities than cities. Accordingly, this study we analyze capacity, current activities, expansion cities across two neighbouring but distinct regions California: northern Los Angeles County (n = 20) southern San Joaquin Valley 38). Using data from 58 first comprehensively reviewed heat-related activities documents. then conducted 17 semi-structured interviews with local government planners, consultants, utilities' staff more holistically how implementation ground. The document analysis shows narrow majority identified general issue concern. common long-term resilience strategies were enhancing tree canopy, green infrastructure, shade structures, both prevalence strategy type vary by exposure level, size, socioeconomic status interviews, generally found while officials had high levels awareness, they low capacity deployed interventions compared other efforts.

Language: Английский

Citations

0
A county-level analysis of spatiotemporal variation and human causes of urban heat islands in the Guangdong-Hong Kong-Macao Greater Bay Area DOI Creative Commons

Xinyue Gao,

Hangnan Yu, Lan Li

et al.

City and Environment Interactions, Journal Year: 2025, Volume and Issue: unknown, P. 100194 - 100194

Published: March 1, 2025

Language: Английский

Citations

0
Uncovering the Impacts of 2D and 3D Urbanization on Urban Heat Islands in 384 Chinese Cities DOI
Jian Sun,

Zezhuang Liu,

Fan Xia

et al.

Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

Rapid urbanization in China has exacerbated the urban heat island (UHI) effect, posing considerable challenges to sustainability and public health. Most UHI studies have focused on impacts of two-dimensional (2D) urbanization, which involves outward city expansion increased built-up area. However, as cities mature, they typically transition from horizontal vertical densification (3D urbanization), leading material stock density. The implications this shift for effect remain underexplored. This study compared 2D 3D urbanization-induced across 384 Chinese 2000 2020, using impervious surface gridded stocks. Our results surprisingly indicated that lost explanatory power intensity when area percentage exceeded 87%. Relative importance analysis utilizing a random forest algorithm revealed population, vegetation abundance, precipitation significantly moderated effects emphasizing crucial role green spaces mitigating thermal stress. examined spatiotemporal dynamics China, key urbanization. findings highlight urgent need incorporate characteristics devising mitigation strategies.

Language: Английский

Citations

0
Comparison of mediating effects of air pollutants on urban morphology and urban heat Island intensity at block scale DOI Creative Commons
Jiayu Fan, Xuegang Chen, Weihong Zhang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 26, 2025

Language: Английский

Citations

0
Assessing the spatial-temporal impacts of underlying surfaces on 3D thermal environment: A field study based on UAV vertical measurements DOI

Fengtao Qian,

Yanjun Hu, Renwu Wu

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 265, P. 111985 - 111985

Published: Aug. 22, 2024

Language: Английский

Citations

2
Exploring Urban Heat Distribution via Intra- and Extra-Block Morphologies with Integrated Stacked Models DOI Creative Commons
Yike Xia, Qi Wang,

Lanhong Ren

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(10), P. 3187 - 3187

Published: Oct. 7, 2024

The spatial variability of land surface temperature (LST) is considerably affected by urban morphology. Previous research has focused separately on the thermal effects morphology and cooling water bodies parks. However, combined influence intra- extra-block factors LST not been thoroughly examined. To bridge this gap, we conducted an extensive analysis 17 in Hangzhou employing a novel stacked ensemble approach. Results showed that models outperformed commonly used techniques, such as random forest boosted regression trees. Extra-block factors, alongside building density, average height, vegetation coverage within blocks, predominantly influenced distribution across all seasons. Building density was positively correlated with LST, maximum 1.5 °C spring, whereas height negatively it, 1.8 winter. distance Qiantang River extends up to 2500 m into blocks effect 2 summer. These insights deepen our comprehension interplay between morphologies, thus offering valuable guidance for planners policymakers.

Language: Английский

Citations

1
Study on the Impact of Urban Morphologies on Urban Canopy Heat Islands Based on Relocated Meteorological Stations DOI Creative Commons
Shi Tao, Yuanjian Yang, Ping Qi

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(9), P. 1500 - 1500

Published: April 24, 2024

This study addresses a crucial gap in understanding the impact of urban morphologies on canopy heat islands (CUHI) effect. The selection reference stations lacks unified standard, and their surface air temperature (SAT) sequences are also inevitably influenced by urbanization. However, synchronous observational data from relocated meteorological could provide high-quality sample for studying CUHI. Utilizing remote sensing techniques, findings this paper revealed that observation environment after relocation exhibited remarkable representativeness, with accurately reflecting local climatic background. differences synchronized characterize CUHI intensity (CUHII). Among various factors, land use parameters landscape played particularly significant roles. Furthermore, fitting performance random forest (RF) model both training testing was significantly superior to linear support vector regression (SVR) model. Additionally, influence circulation not be overlooked. mechanisms which affect CUHII under different backgrounds deserve further investigation.

Language: Английский

Citations

1