Sustainable Cities and Society, Год журнала: 2024, Номер 118, С. 106064 - 106064
Опубликована: Дек. 11, 2024
Язык: Английский
Sustainable Cities and Society, Год журнала: 2024, Номер 118, С. 106064 - 106064
Опубликована: Дек. 11, 2024
Язык: Английский
Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105780 - 105780
Опубликована: Сен. 3, 2024
Язык: Английский
Процитировано
14Applied Geography, Год журнала: 2025, Номер 177, С. 103561 - 103561
Опубликована: Фев. 16, 2025
Язык: Английский
Процитировано
1Journal of Environmental Management, Год журнала: 2025, Номер 377, С. 124602 - 124602
Опубликована: Фев. 20, 2025
Язык: Английский
Процитировано
1Journal of Cleaner Production, Год журнала: 2024, Номер 474, С. 143626 - 143626
Опубликована: Сен. 10, 2024
Язык: Английский
Процитировано
6Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106188 - 106188
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Urban 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
2Building and Environment, Год журнала: 2024, Номер unknown, С. 112361 - 112361
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
2Remote 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
1Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 105806 - 105806
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
1Sustainability, 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
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