Impact of block morphology on urban thermal environment with the consideration of spatial heterogeneity DOI
Chanjuan Wang,

Zongmao Li,

Yuan Su

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105622 - 105622

Опубликована: Июль 2, 2024

Язык: Английский

Exploring the impact of urban spatial morphology on land surface temperature: A case study in Linyi City, China DOI Creative Commons

Yongyu Feng,

Huimin Wang, Jing Wu

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(1), С. e0317659 - e0317659

Опубликована: Янв. 27, 2025

The increasing population density and impervious surface area have exacerbated the urban heat island effect, posing significant challenges to environments sustainable development. Urban spatial morphology is crucial in mitigating effect. This study investigated impact of on land temperature (LST) at township scale. We proposed a six-dimensional factor system describe morphology, comprising Atmospheric Quality, Remote Sensing Indicators, Terrain, Land Use/Land Cover, Building Scale, Socioeconomic Factors. Spatial autocorrelation regression methods were used analyze impact. To this end, township-scale data Linyi City from 2013 2022 collected. results showed that LST are significantly influenced by with strongest correlations found factors use types, landscape metrics, remote sensing indices. global Moran’s I value exceeds 0.7, indicating strong positive correlation. High-High LISA values distributed central western areas, Low-Low northern regions some scattered counties. Geographically Weighted Regression (GWR) model outperforms Error Model (SEM) Ordinary Least Squares (OLS) model, making it more suitable for exploring these relationships. findings aim provide valuable references town planning, resource allocation,

Язык: Английский

Процитировано

0

The Polycentricity of Urban Population Will Lead to Improvements in Urban Heat Island Effect: Evidence from the Yangtze River Delta in China DOI Creative Commons
Cheng Wang, Jingyuan Chen,

Qinpei Wang

и другие.

Sustainable Futures, Год журнала: 2025, Номер unknown, С. 100510 - 100510

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Impact Mechanisms of 2D and 3D Spatial Morphologies on Urban Thermal Environment in High-Density Urban Blocks: A Case Study of Beijing's Core Area DOI

Guo Jin Tang,

Xintong Du,

Siyuan Wang

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106285 - 106285

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Tuning of oxygen vacancies to control color and electron dynamics in alkali metal substituted bismuth layered oxides for energy-efficient coatings DOI

Omanakuttan Sreelakshmi,

S. Sameera,

Mohammed Aysha Shafna

и другие.

Journal of Materials Chemistry C, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Alkali metal variations in bismuth layered oxides modify oxygen vacancies, tuning their color and electronic properties for energy-efficient coatings.

Язык: Английский

Процитировано

0

From measurements to regulations: An actionable approach for sustainable urban cooling via heat-resilient urban planning DOI
Jinlong Yan,

Zhaomin Tong,

Yiheng Wang

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106361 - 106361

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Dynamic Impacts of Vegetation Growth and Urban Development on Microclimate and Building Energy Consumption DOI

Haoqiang Fu,

Yuanhao Jiao,

Lirui Deng

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106382 - 106382

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Mutation Thresholds of Resident Heat Exposure along the Urbanization Intensity Gradient DOI
Zengming Wang, Zhiwei Yang, Xiaoyu Yu

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106399 - 106399

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

How Urban Characteristics Impact Surface Urban Heat Island in Subtropical High-Density Cities Based on Lczs: A Case Study of Macau DOI

Mengshu Zhou,

Ran Wang, Yuanyuan Guo

и другие.

Опубликована: Янв. 1, 2024

Although numerous studies have explored the influence of urban spatial characteristics (USC) on surface heat island intensity (SUHII) from perspective local climate zone (LCZ), spatio-temporal heterogeneity within and between LCZs has not been demonstrated. In this study, a total 1540 grid units in Macau across 7 years were screened as research samples. USC, SUHII LCZ calculated derived multi-source data. GWR GTWR models applied to detect non-stationarity USC SUHII, Geodetector was used for ranking interpretation strength driving factors each class. Results show that 8 is highest. Besides, model had best fitting degree accounting thermal variations due form changes, regression performance generally different among classes, especially compact-types open-types. Furthermore, strategies related optimization finally proposed class based contribution factors. This study sheds new light "USC-SUHII-LCZ" linkage provides specific planning recommendations environment improvement, subtropical highdensity cities.

Язык: Английский

Процитировано

3

Urban Infrastructure Vulnerability to Climate-Induced Risks: A Probabilistic Modeling Approach Using Remote Sensing as a Tool in Urban Planning DOI Creative Commons
Ignacio Rodríguez Antuñano, Brais Barros, J. Martínez-Sánchez

и другие.

Infrastructures, Год журнала: 2024, Номер 9(7), С. 107 - 107

Опубликована: Июль 4, 2024

In our contemporary cities, infrastructures face a diverse range of risks, including those caused by climatic events. The availability monitoring technologies such as remote sensing has opened up new possibilities to address or mitigate these risks. Satellite images allow the analysis terrain over time, fostering probabilistic models support adoption data-driven urban planning. This study focuses on exploration various satellite data sources, nighttime land surface temperature (LST) from Landsat-8, well ground motion derived techniques MT-InSAR, Sentinel-1, and proximity infrastructure water. Using information Local Climate Zones (LCZs) current use each building in area, economic implications any changes features soil are evaluated. Through construction Bayesian Network model, synthetic datasets generated identify areas quantify risk Barcelona. results this model were also compared with Multiple Linear Regression concluding that provides crucial for managers. It enables adopting proactive measures reduce negative impacts reducing eliminating possible disparities.

Язык: Английский

Процитировано

3

Does self-containment of spatial scale and land use function contribute to mitigate urban heat island effects? Lessons from new towns in Shanghai DOI
Meizi You, ChengHe Guan

Land Use Policy, Год журнала: 2024, Номер 146, С. 107323 - 107323

Опубликована: Авг. 22, 2024

Язык: Английский

Процитировано

3