中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Impacts of park landscape structure on thermal environment using QuickBird and Landsat images

文献类型:期刊论文

作者Xu Xinliang1; Cai Hongyan1; Qiao Zhi2; Wang Liang1,3; Jin Cui4; Ge Yaning5; Wang Luyao6; Xu Fengjiao7
刊名CHINESE GEOGRAPHICAL SCIENCE
出版日期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
DOI10.1007/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.
WOS关键词URBAN HEAT-ISLAND ; SURFACE TEMPERATURE ; CLIMATE-CHANGE ; AGGREGATION INDEX ; SPATIAL-PATTERN ; CITY PARKS ; CHINA ; COVER ; FRAGMENTATION ; GREENSPACE
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研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000410024000013
出版者SPRINGER
资助机构important National Project of high-resolution Earth Observation System ; National Natural Science Foundation of China
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.

入库方式: OAI收割

来源:地理科学与资源研究所

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