中国地理科学 ›› 2017, Vol. 27 ›› Issue (5): 818-826.doi: 10.1007/s11769-017-0910-x

• 论文 • 上一篇    下一篇

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   

  1. 1. State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China;
    4. College of Urban and Environmental Science, Liaoning Normal University, Dalian 116029, China;
    5. School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China;
    6. College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China;
    7. Geography Department College of Sciences, Yanbian University, Yanji 133002, China
  • 收稿日期:2016-11-16 修回日期:2017-03-10 出版日期:2017-10-27 发布日期:2017-09-07
  • 通讯作者: CAI Hongyan,E-mail:caihy@igsnrr.ac.cn E-mail:caihy@igsnrr.ac.cn
  • 基金资助:

    Under the auspices of the important National Project of high-resolution Earth Observation System (No.00-Y30B15-9001-14/16),National Natural Science Foundation of China (No.41421001)

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   

  1. 1. State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China;
    4. College of Urban and Environmental Science, Liaoning Normal University, Dalian 116029, China;
    5. School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China;
    6. College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China;
    7. Geography Department College of Sciences, Yanbian University, Yanji 133002, China
  • Received:2016-11-16 Revised:2017-03-10 Online:2017-10-27 Published:2017-09-07
  • Contact: CAI Hongyan,E-mail:caihy@igsnrr.ac.cn E-mail:caihy@igsnrr.ac.cn
  • Supported by:

    Under the auspices of the important National Project of high-resolution Earth Observation System (No.00-Y30B15-9001-14/16),National Natural Science Foundation of China (No.41421001)

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.

关键词: urban park, urban heat island, park cooling effect, landscape metrics, Quickbird images, Beijing

Abstract:

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.

Key words: urban park, urban heat island, park cooling effect, landscape metrics, Quickbird images, Beijing