资源科学 ›› 2019, Vol. 41 ›› Issue (6): 1154-1166.doi: 10.18402/resci.2019.06.14

• 气候资源 • 上一篇    下一篇

粤港澳大湾区城市热岛空间格局及影响因子多元建模

杨智威1,2(), 陈颖彪1,2(), 吴志峰1,2, 郑子豪1, 李娟娟3   

  1. 1. 广州大学地理科学学院,广州 510006
    2. 广东省地理国情监测与综合分析工程技术研究中心,广州 510006
    3. 中国科学院遥感与数字地球研究所,北京 100101
  • 收稿日期:2018-04-27 修回日期:2018-12-24 出版日期:2019-06-25 发布日期:2019-06-25
  • 作者简介:

    作者简介:杨智威,男,福建三明人,硕士生,研究方向为城市生态与遥感应用。E-mail: yangzw9615@163.com

  • 基金资助:
    广东省自然科学基金项目(2016A030313551);国家自然科学基金项目(41671430,41771127)

Spatial pattern of urban heat island and multivariate modeling of impact factors in the Guangdong-Hong Kong-Macao Greater Bay area

Zhiwei YANG1,2(), Yingbiao CHEN1,2(), Zhifeng WU1,2, Zihao ZHENG1, Juanjuan LI3   

  1. 1. School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China
    2.Guangdong Provincical Engineering Technology Research Centre for Geographical Conditions Monitoring and Comprehensive Analysis, Guangzhou 510006, China
    3. Institute of Remote Sensing and Digital Earth, CAS, Beijing 100101, China
  • Received:2018-04-27 Revised:2018-12-24 Online:2019-06-25 Published:2019-06-25

摘要:

探究影响城市热岛空间格局的因子,及科学分析各因子的作用机制,对揭示城市热岛效应的机理有着重要意义。本文以粤港澳大湾区为研究区,综合利用数据空间化表达、空间叠置、地理探测器等方法,对影响城市热岛空间格局的因子开展研究,并构建地表温度与影响因子间的多元关系模型。结果表明,粤港澳大湾区的城市热岛强度等级呈现中间高四周低的空间分布格局,并在珠江入海口两岸形成半环状城市热岛带。本文选取的5种影响因子对城市热岛的空间格局皆具有较高的解释力,平均解释力排序为:单元人口密度(0.668)>建设用地面积占比(0.577)>单元路网密度(0.573)>植被面积占比(0.538)>水体面积占比(0.428)。所构建的多元关系模型,能较准确地反映城市热岛区域地表温度的分布状况,所拟合的地表温度结果与实际地表温度平均值的误差为0.34℃。

关键词: 城市热岛, 影响因子, 空间格局, 地理探测器, 粤港澳大湾区

Abstract:

To explore the influence of various factors on the spatial differentiation of urban heat island intensity, and to reveal the impact mechanism of the factors, spatial expression, spatial overlay, and geographical detector methods were used in this study. The impact of five influencing factors on the spatial differentiation of urban heat island intensity in the study area was examined, and a multivariate relationship model was constructed. The results show that the intensity of urban heat island in the Guangdong-Hong Kong-Macao Greater Bay area is high in the central part and low in the surroundings, which has formed a semicircular urban heat island belt on both sides of the estuary of the Pearl River. According to the results of the geographical detector analysis, the five selected factors have a high explanatory power on the spatial differentiation of the urban heat island intensity at the 1 km×1 km grid scale, in the order of population density (0.668) > proportion of construction land area (0.577) > length of roads (0.573) > proportion of vegetation cover (0.538) > proportion of surface water area (0.428). The constructed multivariate relationship model can accurately reflect the distribution of land surface temperature in urban heat island area, and the error between the modeling result and the observed average land surface temperature is 0.34℃.

Key words: urban heat island, influencing factors, spatial pattern, geographical detector, Guangdong-Hong Kong-Macao Greater Bay area