Reshaping Urban Landscape Factorization Through 3d Landscape Clustering for Urban Temperature Studies DOI
Hunsoo Song, Anamika Shreevastava, Gaia Cervini

et al.

Published: Jan. 1, 2024

Language: Английский

Mapping local climate zones and its applications at the global scale: A systematic review of the last decade of progress and trend DOI

Renfeng Wang,

Mengmeng Wang, Chao Ren

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 57, P. 102129 - 102129

Published: Sept. 1, 2024

Language: Английский

Citations

16
Spatial Differentiation in Urban Thermal Environment Pattern from the Perspective of the Local Climate Zoning System: A Case Study of Zhengzhou City, China DOI Creative Commons
Jinghu Pan,

Bo Yu,

Yingbiao Zhi

et al.

Atmosphere, Journal Year: 2025, Volume and Issue: 16(1), P. 40 - 40

Published: Jan. 2, 2025

In order to assess the spatial and temporal characteristics of urban thermal environment in Zhengzhou City supplement climate adaptation design work, based on Landsat 8–9 OLI/TIRS C2 L2 data for 12 periods from 2019–2023, combined with lLocal zone (LCZ) classification subsurface classification, this study, we used statistical mono-window (SMW) algorithm invert land surface temperature (LST) classify heat island (UHI) effect, analyze differences distribution environments areas aggregation characteristics, explore influence LCZ landscape pattern temperature. The results show that proportions built natural types Zhengzhou’s main metropolitan area are 79.23% 21.77%, respectively. most common landscapes wide mid-rise (LCZ 5) structures large-ground-floor 8) structures, which make up 21.92% 20.04% study area’s total area, varies seasons, pooling during summer peaking winter, strong or extremely islands centered suburbs a hot cold spots aggregated observable features. As building heights increase, UHI 1–6) increases then reduces spring, summer, autumn decreases winter as increase. Water bodies G) dense woods A) have lowest effects among settings. Building size is no longer primary element affecting LST buildings become taller; instead, connectivity clustering take center stage. Seasonal variations, variations types, responsible area. should see an increase vegetation cover, gaps must be appropriately increased.

Language: Английский

Citations

1
Spatiotemporal Footprints of Surface Urban Heat Islands in the Urban Agglomeration of Yangtze River Delta During 2000–2022 DOI Creative Commons
Y. Du,

Jiachen Xie,

Zhiqing Xie

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(5), P. 892 - 892

Published: March 3, 2025

Compared with atmospheric urban heat islands, surface islands (SUHIs) are easily monitored by the thermal sensors on satellites and have a more stable spatial pattern resembling built-up lands across single cities, large metropolitans, agglomerations; hence, they gaining attention from scholars planners worldwide in search for reasonable patterns scales to guide future development. Traditional urban–rural dichotomies, being sensitive representative rural areas diurnal seasonal variations land temperature (LST), obtain inflated varying SUHI footprints of approximately 1.0–6.5 times size different satellite-retrieved LST datasets many cities metropolitan areas, which not conducive developing strategies mitigate SUHIs. Taking Yangtze River Delta agglomeration China as an example, we proposed improved structural similarity index quantify SUHIs multiple at annual interval. We identified gridded anomalies (LSTAs) related urbanization adopting random forest models climate, urbanization, geographical, biophysical, topographical parameters. Using LSTA cycle grid point relative reference terms average values, variances, shapes characterize SUHIs, cross-validated ~1.06–2.45 × 104 km2 smaller than clear transition zones between zone were obtained 2000–2022. Hence, can balance urbanization’s benefits adverse effects enhancing design. Considering that rapidly transformed into ratio extent increasing 0.43 0.62 during 2000–2022, should also take measures prevent rapid expansion high-density ISA density above 65%

Language: Английский

Citations

1
Automated vehicle microscopic energy consumption study (AV-Micro): Data collection and model development DOI
Ke Ma, Hang Zhou, Zhaohui Liang

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135096 - 135096

Published: Feb. 1, 2025

Language: Английский

Citations

0
Warm season land surface temperature and its relationship with local climate zones in post-socialist cities DOI Creative Commons

Ștefănel–Claudiu Crețu,

Lucian Sfîcă, Pavel Ichim

et al.

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(4)

Published: March 11, 2025

Language: Английский

Citations

0
Fine-grained local climate zone classification using graph networks: A building-centric approach DOI
Siyu Li, Pengyuan Liu, Rudi Stouffs

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112928 - 112928

Published: April 1, 2025

Language: Английский

Citations

0
Integrating urban heat island analysis for sustainable urban planning: Insights from Reunion Island DOI Creative Commons
Alexandre Lefevre, Bruno Malet-Damour, Fiona Bénard

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112964 - 112964

Published: April 1, 2025

Language: Английский

Citations

0
Multiscale Modeling Framework for Urban Climate Heat Resilience—A Case Study of the City of Split DOI Open Access
Tea Duplančić Leder, Samanta Bačić, Josip Peroš

et al.

Climate, Journal Year: 2025, Volume and Issue: 13(4), P. 79 - 79

Published: April 14, 2025

This study presents a comprehensive framework for evaluating urban heat resilience, incorporating climatology models, their characteristics, and simulation programs. Utilizing the local climate zone (LCZ) classification method, this research explores how geomorphology influences thermal characteristics of area. integrates spatial data at different “levels detail” (LOD), from meso- to building scales, emphasizing significance detailed LOD 3 models acquired through 3D laser scanning. The results demonstrate ability these identify islands (UHIs) simulate planning scenarios, such as increasing green spaces optimizing density, mitigate UHI effect. ST3D model city Split, represented using an 2 object model, is utilized local-scale analyses, while derived scanning provided in-depth insights scale. case studies included Faculty Civil Engineering, Architecture, Geodesy on University Split campus old town hall in densely built center. highlights advantages integrating GIS BIM technology with offering tools data-driven decision-making fostering sustainable, climate-resilient planning.

Language: Английский

Citations

0
Long-term global trends and influencing factors of surface urban cool and heat islands DOI Creative Commons

Ruihan Qiu,

Qingming Zhan, S. Sean Tu

et al.

International Journal of Digital Earth, Journal Year: 2025, Volume and Issue: 18(1)

Published: April 27, 2025

Language: Английский

Citations

0
Reshaping urban landscape factorization through 3D landscape clustering for urban temperature studies DOI
Hunsoo Song, Gaia Cervini, Anamika Shreevastava

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 115, P. 105809 - 105809

Published: Sept. 12, 2024

Language: Английский

Citations

1