Resources Science ›› 2019, Vol. 41 ›› Issue (6): 1154-1166.doi: 10.18402/resci.2019.06.14

• Orginal Article • Previous Articles     Next Articles

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

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