TY - JOUR
T1 - Multiscale estimation of the cooling effect of urban greenspace in subtropical and tropical cities
AU - Jia, Siqi
AU - Wang, Yuhong
AU - Liang, Tan Chun
AU - Weng, Qihao
AU - Yoo, Cheolhee
AU - Chen, Wu
AU - Ding, Xiaoli
N1 - Publisher Copyright:
© 2024
PY - 2024/8
Y1 - 2024/8
N2 - Urban greenspace has been widely recognized for its beneficial role in mitigating the urban heat island (UHI) effect and enhancing human thermal comfort. However, understanding on the thermal effects of greenspace still remains limited, particularly in the areas of regional differences, scale issues, and modeling approaches. This study employs a multiscale approach to evaluate the cooling effect of greenspace in Hong Kong and Singapore by combining remote sensing techniques at the territory level, a hybrid modeling approach at the urban district level, and field measurements at the micro level. Results demonstrate that the approach generally performed well in evaluating the relationship between cooling effect and various explanatory variables. At the city scale, the average reduction in LST by greenspace (△LSTG−UF) was found to be 3.08 ℃ in Hong Kong and 2.84 ℃ in Singapore, respectively. However, the cooling effect of greenspace is much reduced at the urban district level. Of the evaluated urban districts, greenspace was found to have a LST reduction effect ranging from 0.27 to 1.56 ℃ in Hong Kong and from −0.02–2.69 ℃ in Singapore, respectively. At the micro level, the study reveals that building height and greenspace volume have the most significant influence on ambient temperature variations during the hottest time of the summer season. These findings not only highlight the importance of considering scale and time variations when evaluating the thermal effects of greenspace but also help identify effective greenspace deployment strategies to combat excessive urban heat.
AB - Urban greenspace has been widely recognized for its beneficial role in mitigating the urban heat island (UHI) effect and enhancing human thermal comfort. However, understanding on the thermal effects of greenspace still remains limited, particularly in the areas of regional differences, scale issues, and modeling approaches. This study employs a multiscale approach to evaluate the cooling effect of greenspace in Hong Kong and Singapore by combining remote sensing techniques at the territory level, a hybrid modeling approach at the urban district level, and field measurements at the micro level. Results demonstrate that the approach generally performed well in evaluating the relationship between cooling effect and various explanatory variables. At the city scale, the average reduction in LST by greenspace (△LSTG−UF) was found to be 3.08 ℃ in Hong Kong and 2.84 ℃ in Singapore, respectively. However, the cooling effect of greenspace is much reduced at the urban district level. Of the evaluated urban districts, greenspace was found to have a LST reduction effect ranging from 0.27 to 1.56 ℃ in Hong Kong and from −0.02–2.69 ℃ in Singapore, respectively. At the micro level, the study reveals that building height and greenspace volume have the most significant influence on ambient temperature variations during the hottest time of the summer season. These findings not only highlight the importance of considering scale and time variations when evaluating the thermal effects of greenspace but also help identify effective greenspace deployment strategies to combat excessive urban heat.
KW - Cooling effect
KW - Land surface temperature
KW - Neural network
KW - Urban greenspace
KW - Urban heat island
UR - http://www.scopus.com/inward/record.url?scp=85196044661&partnerID=8YFLogxK
U2 - 10.1016/j.ufug.2024.128390
DO - 10.1016/j.ufug.2024.128390
M3 - Journal article
AN - SCOPUS:85196044661
SN - 1618-8667
VL - 98
JO - Urban Forestry and Urban Greening
JF - Urban Forestry and Urban Greening
M1 - 128390
ER -