How to Measure the Urban Park Cooling Island? A Perspective of Absolute and Relative Indicators Using Remote Sensing and Buffer Analysis
文献类型：期刊论文
| 作者 | Zhu, Wenhao; Sun, Jiabin; Yang, Chaobin; Liu, Min; Xu, Xinliang; Ji, Caoxiang |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-08 |
| 卷号 | 13期号:16页码:- |
| 关键词 | park cooling island driving factors land surface temperate buffer analysis Jinan |
| 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. |
| WOS研究方向 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/45481]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 作者单位 | 1.Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo 255000, Peoples R China 2.East China Normal Univ, Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Shanghai 200241, Peoples R China 3.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, 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):-. |
| 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),-. |
| 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):-. |
入库方式： OAI收割
来源：生态环境研究中心
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