How to Measure the Urban Park Cooling Island? A Perspective of Absolute and Relative Indicators Using Remote Sensing and Buffer Analysis
Zhu, Wenhao4; Sun, Jiabin4; Yang, Chaobin1,2,4; Liu, Min1; Xu, Xinliang3; Ji, Caoxiang5
刊名REMOTE SENSING
2021-08-01
卷号13期号:16页码:16
关键词park cooling island driving factors land surface temperate buffer analysis Jinan
DOI10.3390/rs13163154
通讯作者Yang, Chaobin(yangchaobin@sdut.edu.cn)
英文摘要Urban parks have been proven to cool the surrounding environment, and can thus mitigate the urban heat island to an extent by forming a park cooling island. However, a comprehensive understanding of the mechanism of park cooling islands is still required. Therefore, we studied 32 urban parks in Jinan, China and proposed absolute and relative indicators to depict the detailed features of the park cooling island. High-spatial-resolution GF-2 images were used to obtain the land cover of parks, and Landsat 8 TIR images were used to examine the thermal environment by applying buffer analysis. Linear statistical models were developed to explore the relationships between park characteristics and the park cooling island. The results showed that the average land surface temperature (LST) of urban parks was approximately 3.6 degrees C lower than that of the study area, with the largest temperature difference of 7.84 degrees C occurring during summer daytime, while the average park cooling area was approximately 120.68 ha. The park cooling island could be classified into four categories-regular, declined, increased, and others-based on the changing features of the surrounding LSTs. Park area (PA), park perimeter (PP), water area proportion (WAP), and park shape index (PSI) were significantly negatively correlated with the park LST. We also found that WAP, PP, and greenness (characterized by the normalized difference vegetation index (NDVI)) were three important factors that determined the park cooling island. However, the relationship between PA and the park cooling island was complex, as the results indicated that only parks larger than a threshold size (20 ha in our study) would provide a larger cooling effect with the increase in park size. In this case, increasing the NDVI of the parks by planting more vegetation would be a more sustainable and effective solution to form a stronger park cooling island.
资助项目Shandong Provincial Natural Science Foundation, China[ZR2019BD036] ; Open Fund of Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration[SHUES2021A10]
WOS关键词HEAT-ISLAND ; THERMAL COMFORT ; MITIGATION ; TEMPERATURE ; MICROCLIMATE ; RETRIEVAL ; DECADES ; ENERGY
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:000690003200001
资助机构Shandong Provincial Natural Science Foundation, China ; Open Fund of Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/165176]  
专题中国科学院地理科学与资源研究所
通讯作者Yang, Chaobin
作者单位1.East China Normal Univ, Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Shanghai 200241, Peoples R China
2.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
4.Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo 255000, Peoples R China
5.Shenyang Meteorol Bur, Shenyang 110168, Peoples R China
推荐引用方式
GB/T 7714
Zhu, Wenhao,Sun, Jiabin,Yang, Chaobin,et al. How to Measure the Urban Park Cooling Island? A Perspective of Absolute and Relative Indicators Using Remote Sensing and Buffer Analysis[J]. REMOTE SENSING,2021,13(16):16.
APA Zhu, Wenhao,Sun, Jiabin,Yang, Chaobin,Liu, Min,Xu, Xinliang,&Ji, Caoxiang.(2021).How to Measure the Urban Park Cooling Island? A Perspective of Absolute and Relative Indicators Using Remote Sensing and Buffer Analysis.REMOTE SENSING,13(16),16.
MLA Zhu, Wenhao,et al."How to Measure the Urban Park Cooling Island? A Perspective of Absolute and Relative Indicators Using Remote Sensing and Buffer Analysis".REMOTE SENSING 13.16(2021):16.
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