Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105622 - 105622
Опубликована: Июль 2, 2024
Язык: Английский
Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105622 - 105622
Опубликована: Июль 2, 2024
Язык: Английский
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
0Sustainable Futures, Год журнала: 2025, Номер unknown, С. 100510 - 100510
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106285 - 106285
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Journal 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
0Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106361 - 106361
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106382 - 106382
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106399 - 106399
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Опубликована: 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
3Infrastructures, 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
3Land Use Policy, Год журнала: 2024, Номер 146, С. 107323 - 107323
Опубликована: Авг. 22, 2024
Язык: Английский
Процитировано
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