4.7 Article

Linking potential heat source and sink to urban heat island: Heterogeneous effects of landscape pattern on land surface temperature

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 586, Issue -, Pages 457-465

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.scitotenv.2017.01.191

Keywords

Urban heat island; Land surface temperature; Source.Sink.Heterogeneity; SGWR model

Funding

  1. National Natural Science Foundation of China [41330747]
  2. Early Career Scheme from the Research Grant Council of Hong Kong [27200414]
  3. Shenzhen Knowledge Innovation Program [JCYJ20140903101902349]

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Rapid urbanization has significantly contributed to the development of urban heat island (UHI). Regulating landscape composition and configuration would help mitigate the UHI in megacities. Taking Shenzhen, China, as a case study area, we defined heat source and heat sink and identified strong and weak sources as well as strong and weak sinks according to the natural and socioeconomic factors influencing land surface temperature (LST). Thus, the potential thermal contributions of heat source and heat sink patches were differentiated. Then, the heterogeneous effects of landscape pattern on LST were examined by using semiparametric geographically weighted regression (SGWR) models. The results showed that landscape composition has more significant effects on thermal environment than configuration. For a strong source, the percentage of patches has a positive impact on LST. Additionally, when mosaicked with some heat sink, even a small improvement in the degree of dispersion of a strong source helps to alleviate UHI. For a weak source, the percentage and density of patches have positive impacts on LST. For a strong sink, the percentage, density, and degree of aggregation of patches have negative impacts on LST. The effects of edge density and patch shape complexity vary spatially with the fragmentation of a strong sink. Similarly, the impacts of a weak sink are mainly exerted via the characteristics of percent, density, and shape complexity of patches. (C) 2017 Elsevier B.V. All rights reserved.

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