Impacts of park landscape structure on thermal environment using QuickBird and Landsat images | |
Xu Xinliang1; Cai Hongyan1; Qiao Zhi2; Wang Liang1,3; Jin Cui4; Ge Yaning5; Wang Luyao6; Xu Fengjiao7 | |
刊名 | CHINESE GEOGRAPHICAL SCIENCE |
2017-10-01 | |
卷号 | 27期号:5页码:818-826 |
关键词 | urban park urban heat island park cooling effect landscape metrics Quickbird images Beijing |
ISSN号 | 1002-0063 |
DOI | 10.1007/s11769-017-0910-x |
通讯作者 | Cai Hongyan(caihy@igsnrr.ac.cn) |
英文摘要 | Urban parks composed mostly of vegetation and water bodies can effectively mitigate the urban heat island effect. Many studies have investigated the cooling effects of urban parks; however, little attention has been given to park landscape structure. Based on landscape metrics, this study has explored the influences of the park landscape structure on its inner thermal environment, taking heavily urbanized Beijing Municipality in China as the study area. Three indices, including the percentage of landscape (PLAND), landscape shape index (LSI) and aggregation index (AI), were used to measure the composition and configuration characteristics of the landscape components inside the parks. The indices were calculated for five landscape types being interpreted from Quickbird images. Urban thermal conditions were measured using the land surface temperature (LST) derived from Landsat TM images. The results showed that the park LST had a negative relationship with the park size, but no significant relationship was found with park shape. For the park's interior landscape, however, the configuration and composition characteristics of the landscape components inside the park explained 70% of the park LST variance. The area percentage of water bodies and the aggregation index of woodland were identified as the key influencing characteristics. In addition, when the composition and configuration characteristics of the park landscape components were separately considered, the configuration characteristics (LSI and AI) explained approximately 54% of the variance in park LST, which was comparable with that explained by the composition characteristics (PLAND). Thus, this study suggested that an effective and practical way for urban cooling park design is the optimization of spatial configuration of landscape components inside the park. |
资助项目 | important National Project of high-resolution Earth Observation System[00-Y30B15-9001-14/16] ; National Natural Science Foundation of China[41421001] |
WOS关键词 | URBAN HEAT-ISLAND ; SURFACE TEMPERATURE ; CLIMATE-CHANGE ; AGGREGATION INDEX ; SPATIAL-PATTERN ; CITY PARKS ; CHINA ; COVER ; FRAGMENTATION ; GREENSPACE |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | SPRINGER |
WOS记录号 | WOS:000410024000013 |
资助机构 | important National Project of high-resolution Earth Observation System ; National Natural Science Foundation of China |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/61951] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Cai Hongyan |
作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Liaoning Normal Univ, Coll Urban & Environm Sci, Dalian 116029, Peoples R China 5.Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China 6.Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China 7.Yanbian Univ, Coll Sci, Geog Dept, Yanji 133002, Peoples R China |
推荐引用方式 GB/T 7714 | Xu Xinliang,Cai Hongyan,Qiao Zhi,et al. Impacts of park landscape structure on thermal environment using QuickBird and Landsat images[J]. CHINESE GEOGRAPHICAL SCIENCE,2017,27(5):818-826. |
APA | Xu Xinliang.,Cai Hongyan.,Qiao Zhi.,Wang Liang.,Jin Cui.,...&Xu Fengjiao.(2017).Impacts of park landscape structure on thermal environment using QuickBird and Landsat images.CHINESE GEOGRAPHICAL SCIENCE,27(5),818-826. |
MLA | Xu Xinliang,et al."Impacts of park landscape structure on thermal environment using QuickBird and Landsat images".CHINESE GEOGRAPHICAL SCIENCE 27.5(2017):818-826. |
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