Urban green space has been considered as an ecological measure to mitigate urban heat islands (UHI). However, few studies investigate the cooling effect of the adjacent area of the urban park; as the transition region from a green space to a hardened surface where more complex heat exchange occurs, it deserves to be paid more attention. This paper examines the relationship between the urban greening patterns and the cooling effect in the surrounding areas of the Olympic Forest Park in Beijing. Results showed that the forestland and waterbodies could cool 6.51% and 12.82% of the impervious surface temperatures, respectively. For every 10% increase in the green space ratio, the land surface temperature drops by 0.4 degrees C, and per kilometer increase in the distance from the forest park, the land surface temperature increases by 0.15 degrees C. The aggregation index (AI) and largest patch index (LPI) of the green space patterns presented a strong negative correlation with surface temperature. This study confirms the cooling effects in the adjacent area of the urban park and highlights their dependence on urban greening patterns. Therefore, we should not only develop more green spaces but also scientifically plan their spatial configuration in the limited urban land for the improvement of the cooling effect.
机构:
Institute of Urban Meteorology, China Meteorological Administration, Beijing,100089, ChinaInstitute of Urban Meteorology, China Meteorological Administration, Beijing,100089, China
Li, Nana
Wu, Hua
论文数: 0引用数: 0
h-index: 0
机构:
State Key Laboratory of Resources and Environment Information System, Institute of Geographic Science and Nature Resources Research, Chinese Academy of Sciences, Beijing,100101, ChinaInstitute of Urban Meteorology, China Meteorological Administration, Beijing,100089, China
Wu, Hua
Luan, Qingzu
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Municipal Climate Center, Beijing Meteorological Service, Beijing,100089, ChinaInstitute of Urban Meteorology, China Meteorological Administration, Beijing,100089, China
机构:
Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R ChinaChinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
Hao, Pengyu
Niu, Zheng
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R ChinaChinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
Niu, Zheng
Zhan, Yulin
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R ChinaChinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
Zhan, Yulin
Wu, Yunchao
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Municipal Inst City Planning & Design, Informat Ctr, Beijing 100044, Peoples R ChinaChinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
Wu, Yunchao
Wang, Li
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R ChinaChinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
Wang, Li
Liu, Yonghong
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Meteorol Bur, Beijing Municipal Climate Ctr, Beijing 100089, Peoples R ChinaChinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China