Journal of Architectural Engineering, Journal Year: 2024, Volume and Issue: 31(1)
Published: Nov. 3, 2024
Language: Английский
Journal of Architectural Engineering, Journal Year: 2024, Volume and Issue: 31(1)
Published: Nov. 3, 2024
Language: Английский
Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)
Published: April 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.
Language: Английский
Citations
11Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(3)
Published: Feb. 7, 2025
Language: Английский
Citations
1Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: 36, P. 101324 - 101324
Published: Aug. 18, 2024
Language: Английский
Citations
4Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112065 - 112065
Published: Sept. 1, 2024
Language: Английский
Citations
4GIScience & Remote Sensing, Journal Year: 2025, Volume and Issue: 62(1)
Published: April 16, 2025
Language: Английский
Citations
0Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: unknown, P. 128528 - 128528
Published: Oct. 1, 2024
Language: Английский
Citations
2Remote Sensing, Journal Year: 2024, Volume and Issue: 16(16), P. 3048 - 3048
Published: Aug. 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.
Language: Английский
Citations
1Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(11)
Published: Oct. 4, 2024
Language: Английский
Citations
1Urban Climate, Journal Year: 2024, Volume and Issue: 58, P. 102200 - 102200
Published: Nov. 1, 2024
Language: Английский
Citations
1Published: Jan. 1, 2024
Although urban rivers are considered to have a mitigating effect on the extreme heat stress, influences of topographical characteristics still remain poorly understood, particularly under extremely hot weather conditions. Taking mountainous city Chongqing as an example, this research focuses river cooling effects surrounding environment during normal and summer days based 3 indices: River Cooling Intensity (RCI), Distance (RCD) Cumulative (CRCI). Employing Boosted Regression Tree (BRT) model, impacts environmental variables been explored. The findings underscore pronounced intensification day, with Index (RCI) not only rising from average 5.5°C day 6.4°C but also exhibiting broader range variability, reflected by increase in standard deviation 2.4°C 3.1°C. Topographical exhibited strong effects, relative importance for RCI being 27.6% 31.5% respectively. Moreover, elevation slope ascent descent patterns their cooling, while patch density width were relatively fluctuating, showing whole. These can provide foundation planners managers develop strategies aimed at improving thermal riverside areas.
Language: Английский
Citations
0