Ranking Warsaw green spaces by cooling efficiency and particulate matter deposition potential for spatial planning DOI
Anna Kowalska, Andrzej Affek, Jacek Wolski

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 118, С. 106064 - 106064

Опубликована: Дек. 11, 2024

Язык: Английский

A framework for achieving urban sustainable development goals (SDGs): Evaluation and interaction DOI
Kun Jia,

Qianyu Sheng,

Yihui Liu

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105780 - 105780

Опубликована: Сен. 3, 2024

Язык: Английский

Процитировано

14

Urbanization-driven and intercity interaction-induced warming effects in the Beijing-Tianjin-Hebei urban agglomeration: A comparison of heatwave and non-heatwave scenarios DOI

Zhi Qiao,

Qikun Wei,

Huan Gao

и другие.

Applied Geography, Год журнала: 2025, Номер 177, С. 103561 - 103561

Опубликована: Фев. 16, 2025

Язык: Английский

Процитировано

1

Revealing the roles of climate, urban form, and vegetation greening in shaping the land surface temperature of urban agglomerations in the Yangtze River Economic Belt of China DOI

X. Liu,

Liang Zheng, Ying Wang

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 377, С. 124602 - 124602

Опубликована: Фев. 20, 2025

Язык: Английский

Процитировано

1

Understanding the differences in the contribution and impact of urbanization on urban warming during heatwave and non-heatwave periods in China DOI

Zhi Qiao,

Nan Wang,

Jiayue Chen

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 474, С. 143626 - 143626

Опубликована: Сен. 10, 2024

Язык: Английский

Процитировано

6

Inter- and intra-LCZ thermal heterogeneity: The dominant role of external environments in shaping local land surface temperature DOI
Xinlu Lin, Xu Lin, Chao Yan

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106188 - 106188

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Mapping Local Climate Zones (LCZ) Change in the 5 Largest Cities of Switzerland DOI Creative Commons

Estelle Moix,

Grégory Giuliani

Urban Science, Год журнала: 2024, Номер 8(3), С. 120 - 120

Опубликована: Авг. 22, 2024

In the face of climate change and population growth, Local Climate Zone (LCZ) maps have emerged as crucial tools for urban planners policymakers to address Urban Heat Island (UHI) effects, thereby playing a significant role in mitigating change. This study presents methodology classifying major Swiss cities into LCZs, offering an efficient, cost-effective, uniform tool supporting action plans across municipalities cantons. Initial results show that Sentinel-2, Landsat 8, 5 imagery perform well LCZ classification with overall accuracy usually exceeding 80%, Sentinel-2 displays marginally superior performance. Temporal analysis reveals built-up classes Open low-rise mid-rise increased by ~3%, while Large Bare rock or paved decreased, Compact remains stable. For natural classes, Water Dense trees remain stable, but Low plants declined (~4%). A general decline over time is noted, attributed landscape changes. preliminary effort emphasizes need enhance automate methodology, integrate it Data Cube, potentially extend analyses data better UHI effects. Future work will include developing visualization tracking services authorities.

Язык: Английский

Процитировано

2

A Downscaling Framework with WRF-UCM and LES/RANS Models for Urban Microclimate Simulation Strategy: Validation Through Both Measurement and Mechanism Model DOI
Jiawen Liu,

Huan Gao,

Ruoyu Jia

и другие.

Building and Environment, Год журнала: 2024, Номер unknown, С. 112361 - 112361

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

2

Sensitivity of Local Climate Zones and Urban Functional Zones to Multi-Scenario Surface Urban Heat Islands DOI Creative Commons
Haojian Deng,

Shiran Zhang,

Ming‐Hui Chen

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(16), С. 3048 - 3048

Опубликована: Авг. 19, 2024

Local climate zones (LCZs) and urban functional (UFZs) can intricately depict the multidimensional spatial elements of cities, offering a comprehensive perspective for understanding surface heat island (SUHI) effect. In this study, we retrieved two types land temperature (LST) data constructed 12 SUHI scenarios over Guangdong–Hong Kong–Macao Greater Bay Area Central region using six identification methods. It compared sensitivity differences among different LCZ UFZ to analyze global local influencing factors in by utilizing gradient boosting trees, geographically weighted regression, coefficient variation model. Results showed following: (1) The multi-scenario was significantly affected methods non-urban references. (2) morning, shading effect building clusters reduced intensity (SUHII) some built environment (such as 1 (compact high-rise zone) 5 (open midrise zone)). SUHIIs E (bare rock or paved 10 (industry were 4.22 °C 3.87 °C, respectively, both are classified highly sensitive SUHI. (3) exhibited regional variability, with importance such impervious ratio, elevation, average height, vegetation coverage, volume between LCZs UFZs. Amongst scenarios, an 87.43% 89.97% areas UFZs, found have low types. Overall, study helps planners managers gain more complexity high-density providing scientific basis future adaptability planning.

Язык: Английский

Процитировано

1

The effect of urban form parameters on annual and diurnal cycles of land surface temperature with 30-meters hourly resolution DOI
Wen He, Shisong Cao,

Mingyi Du

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 105806 - 105806

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

1

Decoding Tianjin: How Does Urban Form Shape the Diurnal Cycle of Surface Temperature? DOI Open Access
Ting Wei, Wei Li, Juan Tang

и другие.

Sustainability, Год журнала: 2024, Номер 16(23), С. 10241 - 10241

Опубликована: Ноя. 22, 2024

In the context of global climate change and increasing severity urban heat island effect, it is particularly important to study spatial variation mechanism land surface temperature (LST). The LST data provided by ECOSTRESS offer a new perspective for deepening our understanding diurnal cycle LST. this study, based on block scale, Tianjin divided into nine types, multi-scale geographic regression weighting (MGWR) model used comprehensively explore relative contributions 2D 3D landscape indicators different types changes in cycles. results indicate that ① thermal effect during daytime mainly influenced building density, while at night, more height retention effect; ② indicator water-body had most significant observation times; ③ influence morphology shows non-stationarity across types. This enhances mechanisms driving formation provides scientific basis authorities develop effective planning mitigation strategies.

Язык: Английский

Процитировано

0