Examining the Impact of Urban Morphology on Seasonal Land Surface Temperatures: Comparing Grid‐ and Block‐Based Approaches DOI Open Access

Gyuwon Jeon,

Yujin Park, Jean‐Michel Guldmann

и другие.

Опубликована: Авг. 8, 2023

Climate change is expected to result in rising temperatures, leading increased occurrences of extreme weather events like heat waves and cold spells. Urban planning responses are crucial for improving the adaptive capacity cities communities dealing with significant temperature variations across seasons. This study aims investigate relationship between urban fluctuations morphology throughout four Through quadrant statistical analyses, identifies built-environment factors that contribute moderate seasonal land surface temperatures (LST). The research focuses on Seoul, South Korea as a case calculates LST values at both grid level (100m×100m) street-block level, incorporating such vegetation density, use patterns, albedo, two- three-dimensional building forms, gravity indices natural reserves. analysis reveals spatial segregation areas demonstrating high adaptability (cooler summers warmer winters) those displaying vulnerability (hotter colder winters), differences forms. regression demonstrates higher density proximity water bodies play key roles moderating LST, cooler winters. Building characteristics have an invariant impact all seasons, where horizontal expansion contributes while vertical reduces LST. These findings consistent grid- block-level analyses. emphasizes flexible role environment temperatures.

Язык: Английский

How Does the 2D/3D Urban Morphology Affect the Urban Heat Island across Urban Functional Zones? A Case Study of Beijing, China DOI Creative Commons
Shouhang Du,

Yuhui Wu,

Liyuan Guo

и другие.

ISPRS International Journal of Geo-Information, Год журнала: 2024, Номер 13(4), С. 120 - 120

Опубликована: Апрель 4, 2024

Studying driving factors of the urban heat island phenomenon is vital for enhancing ecological environments. Urban functional zones (UFZs), key planning and management, have a substantial impact on thermal environment through their two-dimensional (2D)/three-dimensional (3D) morphology. Despite prior research land use landscape patterns, understanding effects 2D/3D morphology in different UFZs lacking. This study employs Landsat-8 remote sensing data to retrieve surface temperature (LST). A method combining supervised unsupervised classification proposed UFZ mapping, utilizing multi-source geospatial data. Subsequently, parameters defining are established. Finally, Pearson correlation analysis GeoDetector used analyze factors. The results indicate following: (1) In Fifth Ring Road area Beijing, residential exhibit highest LST, followed by industrial zones. (2) 2D morphology, percentage built-up (built-PLAND) Shannon’s diversity index (SHDI) main influencing LST. 3D building density, sky view factor (SVF), area-weighted mean shape (shape index) Therefore, low-density buildings with simple dispersed shapes contribute mitigating while fragmented distributions trees, grasslands, water bodies also play important roles alleviating (3) interactive detection results, all show interaction built-PLAND. (4) Spatial variations observed For instance, zones, green space public service SVF negatively correlated commercial exhibits positive

Язык: Английский

Процитировано

7
Multi-Objective Optimization of Outdoor Thermal Comfort and Sunlight Hours in Elderly Residential Areas: A Case Study of Beijing, China DOI Creative Commons
Hainan Yan, Lu Zhang,

X.X. Ding

и другие.

Buildings, Год журнала: 2024, Номер 14(12), С. 3770 - 3770

Опубликована: Ноя. 26, 2024

To optimize the outdoor thermal comfort and sunlight hours of elderly residential areas in cold regions China, we collected data on streets building forms from 121 sites Beijing. Utilizing parametric modeling tools to generate ideal models, a multi-objective optimization algorithm was applied identify 144 Pareto solutions. The optimal solutions were analyzed using K-means clustering Pearson correlation analysis examine how block form affects environmental performance. universal climate index (UTCI) summer showed significant positive correlations (r > 0.72) with distance between buildings (DB), density (BD), shape coefficient (SC), variation for height (CVH), negative < −0.82) average (AH), floor area ratio (FAR), volume (VAR), mean (MA), (AV), open space (OSR). Winter UTCI significantly positively correlated AH, FAR, VAR, MA, AV 0.83) negatively DB, porosity (PO), SC, CVH −0.88). Sunlight PO, OSR, 0.84) BD, 0.88). Courtyard point-building configurations performed best across all objectives. (The value r, Pearson’s coefficient, ranges −1 +1. r = +1: Perfect correlation, −1: 0: No linear correlation)

Язык: Английский

Процитировано

2
Examining the Impact of Urban Morphology on Seasonal Land Surface Temperatures: Comparing Grid‐ and Block‐Based Approaches DOI Open Access

Gyuwon Jeon,

Yujin Park, Jean‐Michel Guldmann

и другие.

Опубликована: Авг. 8, 2023

Climate change is expected to result in rising temperatures, leading increased occurrences of extreme weather events like heat waves and cold spells. Urban planning responses are crucial for improving the adaptive capacity cities communities dealing with significant temperature variations across seasons. This study aims investigate relationship between urban fluctuations morphology throughout four Through quadrant statistical analyses, identifies built-environment factors that contribute moderate seasonal land surface temperatures (LST). The research focuses on Seoul, South Korea as a case calculates LST values at both grid level (100m&times;100m) street-block level, incorporating such vegetation density, use patterns, albedo, two- three-dimensional building forms, gravity indices natural reserves. analysis reveals spatial segregation areas demonstrating high adaptability (cooler summers warmer winters) those displaying vulnerability (hotter colder winters), differences forms. regression demonstrates higher density proximity water bodies play key roles moderating LST, cooler winters. Building characteristics have an invariant impact all seasons, where horizontal expansion contributes while vertical reduces LST. These findings consistent grid- block-level analyses. emphasizes flexible role environment temperatures.

Язык: Английский

Процитировано

3