Journal of Architectural Engineering, Год журнала: 2024, Номер 31(1)
Опубликована: Ноя. 3, 2024
Язык: Английский
Journal of Architectural Engineering, Год журнала: 2024, Номер 31(1)
Опубликована: Ноя. 3, 2024
Язык: Английский
Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)
Опубликована: Апрель 27, 2024
Abstract The local climate zones (LCZs) classification system has emerged as a more refined method for assessing the urban heat island (UHI) effect. However, few researchers have conducted systematic critical reviews and summaries of research on LCZs, particularly regarding significant advancements this field in recent years. This paper aims to bridge gap scientific by systematically reviewing evolution, current status, future trends LCZs framework research. Additionally, it critically assesses impact climate-responsive planning design. findings study highlight several key points. First, challenge large-scale, efficient, accurate mapping persists issue Despite challenge, universality, simplicity, objectivity make promising tool wide range applications future, especially realm In conclusion, makes substantial contribution advancement advocates broader adoption foster sustainable development. Furthermore, offers valuable insights practitioners engaged field.
Язык: Английский
Процитировано
11Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(3)
Опубликована: Фев. 7, 2025
Язык: Английский
Процитировано
1Remote Sensing Applications Society and Environment, Год журнала: 2024, Номер 36, С. 101324 - 101324
Опубликована: Авг. 18, 2024
Язык: Английский
Процитировано
4Building and Environment, Год журнала: 2024, Номер unknown, С. 112065 - 112065
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
4Urban forestry & urban greening, Год журнала: 2024, Номер unknown, С. 128528 - 128528
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
4GIScience & Remote Sensing, Год журнала: 2025, Номер 62(1)
Опубликована: Апрель 16, 2025
Язык: Английский
Процитировано
0Remote Sensing, Год журнала: 2025, Номер 17(10), С. 1678 - 1678
Опубликована: Май 10, 2025
Understanding the mechanisms driving urban heat island (UHI) phenomenon is essential for sustainability. This study investigated spatiotemporal dynamics and underlying factors of surface (SUHI) in Xiamen. Utilizing radiation conduction equation, we calculated intensity (SUHII) summers winters 2003, 2005, 2010, 2015, 2020, followed by spatial distribution analysis. The local climate zone (LCZ) method was employed to assess morphology structure 2010 2020. Urban factors, including built-up areas, building height, gross domestic product (GDP) per capita, industrial structure, population density, were analyzed using Geodetector model explore their influence on SUHI across seasons. Based different LCZ types, a more detailed analysis conducted performance influencing Pearson’s correlation. Key findings indicate that (1) proportion areas types always exceeds natural pronounced summer than winter. (2) In open mid-rise built (LCZ 5) showed highest average (95.95%), large low-rise 8) had winter (95.28%). bare rock or paved E) both (61.86%) (51.26%), water G) lowest (6.16%) (4.92%). (3) Significantly, height secondary industry intensified summer, with dynamic changes observed during provides targeted insights into mitigating Xiamen other similar coastal cities.
Язык: Английский
Процитировано
0Building and Environment, Год журнала: 2025, Номер unknown, С. 113260 - 113260
Опубликована: Июнь 1, 2025
Язык: Английский
Процитировано
0Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(11)
Опубликована: Окт. 4, 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
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