Assessing the Relationship between Land Surface Temperature and Composition Elements of Urban Green Spaces during Heat Waves Episodes in Mediterranean Cities

被引:3
作者
Delgado-Capel, Manuel Jose [1 ]
Egea-Carinanos, Paloma [2 ]
Carinanos, Paloma [1 ,3 ]
机构
[1] Univ Granada, Dept Bot, Cartuja Campus, Granada 18071, Spain
[2] Univ Granada, Dept Polit Sci, Fuentenueva Campus, Granada 18071, Spain
[3] Univ Granada, Andalusian Inst Earth Syst Res IISTA CEAMA, Granada 18100, Spain
来源
FORESTS | 2024年 / 15卷 / 03期
关键词
climate change adaptation; small public urban green spaces; compact city; urban green infrastructure; heat waves; urban cooling capacity; green spaces composition; Mediterranean traditional squares; UGI design; green areas composition; PHYSIOLOGICAL EQUIVALENT TEMPERATURE; THERMAL COMFORT; CLIMATE; VEGETATION; SCALE; INFRASTRUCTURE; STRATEGIES; MICROCLIMATE; PERFORMANCE; PROJECTIONS;
D O I
10.3390/f15030463
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
In the context of escalating global temperatures and intensified heat waves, the Mediterranean region emerges as a noteworthy hotspot, experiencing a surge in the frequency and intensity of these extreme heat events. Nature-based solutions, particularly management of urban green infrastructure (UGI) areas, have shown promising outcomes in adapting urban areas to the challenges posed by heat waves. The objective of the current study is twofold: firstly, to identify the compositional patterns of strategically distributed small public green spaces, demonstrating their enhanced capacity to mitigate the impact of heat waves in the Mediterranean region; secondly, to assess the association, direction, and explanatory strength of the relationship between the composition elements of the UGI areas and area typology, specifically focusing on the variation in land surface temperature (LST) values during heat wave episodes spanning from 2017 to 2023. The methodology involved obtaining land surface temperature (LST) values from satellite images and classifying green areas based on composition, orientation, and typology. Ordinal multiple regressions were conducted to analyze the relationship between the considered variables and LST ranges during heat wave episodes that occurred from 2017 to 2023. The findings indicate an increase in LST ranges across many areas, emphasizing heightened thermal stress in a Mediterranean medium-sized compact city, Granada (in the southeast of the Iberian Peninsula). Traditional squares, pocket parks and gardens, and pedestrian areas with trees and impervious surfaces performed better in reducing the probability of exceeding LST values above 41 degrees C compared to other vegetated patches mainly occupied by herbaceous vegetation and grass. The study concludes by advocating for the strategic incorporation of vegetation, especially trees, along with traditional squares featuring semipermeable pavement with trees and shrubbery, as a potential effective strategy for enhancing resilience against extreme heat events. Overall, this research enhances our understanding of LST dynamics during heat waves and offers guidance for bolstering the resilience of urban green spaces in the Mediterranean region.
引用
收藏
页数:21
相关论文
共 131 条
[1]   Koppen's climate classification projections for the Iberian Peninsula [J].
Andrade, Cristina ;
Contente, Joana .
CLIMATE RESEARCH, 2020, 81 :71-89
[2]  
[Anonymous], Landsat Normalized Difference Vegetation Index
[3]  
[Anonymous], 2023, AEMet Listado de Provincias Afectadas por las Olas de Calor Registradas Desde 1975
[4]   Urban green space cooling effect in cities [J].
Aram, Farshid ;
Higueras Garcia, Ester ;
Solgi, Ebrahim ;
Mansournia, Soran .
HELIYON, 2019, 5 (04)
[5]  
Ayto, about us
[6]   Innovative use of spatial regression models to predict the effects of green infrastructure on land surface temperatures [J].
Bartesaghi-Koc, Carlos ;
Osmond, Paul ;
Peters, Alan .
ENERGY AND BUILDINGS, 2022, 254
[7]   Can urban heat be mitigated in a single urban street? Monitoring, strategies, and performance results from a real scale redevelopment project [J].
Bartesaghi-Koc, Carlos ;
Haddad, Shamila ;
Pignatta, Gloria ;
Paolini, Riccardo ;
Prasad, Deo ;
Santamouris, Mattheos .
SOLAR ENERGY, 2021, 216 :564-588
[8]   Mapping and classifying green infrastructure typologies for climate-related studies based on remote sensing data [J].
Bartesaghi-Koc, Carlos ;
Osmond, Paul ;
Peters, Alan .
URBAN FORESTRY & URBAN GREENING, 2019, 37 :154-167
[9]   Estimating air surface temperature in Portugal using MODIS LST data [J].
Benali, A. ;
Carvalho, A. C. ;
Nunes, J. P. ;
Carvalhais, N. ;
Santos, A. .
REMOTE SENSING OF ENVIRONMENT, 2012, 124 :108-121
[10]   Characterizing the Relationship between Temperature and Soil Moisture Extremes and Their Role in the Exacerbation of Heat Waves over the Contiguous United States [J].
Benson, David O. ;
Dirmeyer, Paul A. .
JOURNAL OF CLIMATE, 2021, 34 (06) :2175-2187