Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106151 - 106151
Опубликована: Янв. 1, 2025
Язык: Английский
Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106151 - 106151
Опубликована: Янв. 1, 2025
Язык: Английский
Journal of Environmental Management, Год журнала: 2022, Номер 317, С. 115346 - 115346
Опубликована: Май 26, 2022
Язык: Английский
Процитировано
71Building and Environment, Год журнала: 2023, Номер 231, С. 110053 - 110053
Опубликована: Янв. 30, 2023
Язык: Английский
Процитировано
71The Science of The Total Environment, Год журнала: 2023, Номер 868, С. 161463 - 161463
Опубликована: Янв. 13, 2023
Язык: Английский
Процитировано
51Sustainable Cities and Society, Год журнала: 2023, Номер 91, С. 104443 - 104443
Опубликована: Фев. 1, 2023
Язык: Английский
Процитировано
48Humanities and Social Sciences Communications, Год журнала: 2023, Номер 10(1)
Опубликована: Окт. 10, 2023
Abstract Urban parks can effectively reduce surface temperatures, which is an important strategic approach to reducing the urban heat island effect. Quantifying cooling effect of and identifying their main internal influencing factors for improving thermal environment, achieving maximum benefits, sustainability. In this study, we extracted data frobut often unrealisticm 28 in Zhengzhou, China. We combined multivariate data, such as Landsat 8 retrieve land temperature (LST), extract park interior landscape, quantify using three indices: distance ( L ∆max ), difference magnitude (∆ T max gradient G temp ). Furthermore, relationship between landscape characteristics average LST indices was analyzed. The results showed that different buffer ranges affect LST-distance fitting parks, a 300-m zone optimal interval. However, specific should be analyzed select range index calculation errors. Additionally, mean values LST, ∆ , Zhengzhou were 34.11, 3.22 °C, 194.02 m, 1.78 °C/hm, respectively. Park perimeter (PP), area, green area (GA), shape (LSI) both significantly correlated with associated maintaining low parks. mainly affected by GA, LSI, perimeter-area ratio, whereas positively PP. Finally, threshold value efficiency 0.83 ha, comprehensive every aspect.
Язык: Английский
Процитировано
45Ecological Indicators, Год журнала: 2023, Номер 154, С. 110550 - 110550
Опубликована: Июнь 27, 2023
Numerous studies on reducing the urban heat island effect have concentrated isolated cold islands, analyzing their cooling impact in terms of size and shape. From an international perspective, shown that enhancing connectivity islands can enhance but they do not suggest specific processes ideas for connectivity. This study aims to investigate how connect optimize spatial pattern island. Therefore, a framework is constructed this study: source area - network. Firstly, core was identified by morphological analysis. Then, analysis applied identify sources. Afterward, minimum cumulative resistance model used construct In Nanjing, case point, results reveal total 27 areas 52 corridors been identified. 6 first-level CSAs situated northern suburbs Nanjing prevent spread effect. 2 second-level 18 third-level are scattered throughout improve climate. The 29 primary help mitigate transfer from city center. 23 secondary mainly located centers contributing preventing aggregating. be as strategic measure fragmentation isolation island, which provides implications further expansion
Язык: Английский
Процитировано
44Landscape and Urban Planning, Год журнала: 2024, Номер 254, С. 105242 - 105242
Опубликована: Окт. 31, 2024
Язык: Английский
Процитировано
20Sustainable Cities and Society, Год журнала: 2024, Номер 102, С. 105235 - 105235
Опубликована: Янв. 24, 2024
Язык: Английский
Процитировано
19Urban Climate, Год журнала: 2025, Номер 59, С. 102301 - 102301
Опубликована: Янв. 30, 2025
Язык: Английский
Процитировано
3Remote Sensing, Год журнала: 2022, Номер 14(5), С. 1266 - 1266
Опубликована: Март 4, 2022
The urban heat island (UHI) phenomenon caused by rapid urbanization has become an important global ecological and environmental problem that cannot be ignored. In this study, the UHI effect was quantified using Landsat 8 image inversion land surface temperatures (LSTs). With spatial scale of street units in Fuzhou City, China, ordinary least squares (OLS) regression, geographically weighted regression (GWR) models, multi-scale (MGWR), we explored heterogeneities influencing factors LST. results indicated that, compared with traditional OLS GWR improved model fit considering heterogeneity, whereas MGWR outperformed terms goodness effects different bandwidths on Building density (BD), normalized difference impervious index (NDISI), sky view factor (SVF) were influences elevated LST, while building height (BH), forest percentage (Forest_per), waterbody (Water_per) negatively correlated addition, built-up (Built_per) population (Pop_Den) showed significant non-stationary characteristics. These findings suggest need to consider heterogeneity analyses impact factors. This study can used provide guidance mitigation strategies for UHIs regions.
Язык: Английский
Процитировано
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