Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1016/j.buildenv.2021.108354 |
| Volltext | Autorenversion |
| Titel (primär) | 3D building configuration as the driver of diurnal and nocturnal land surface temperatures: Application in Beijing's old city |
| Autor | Guo, F.; Wu, Q.; Schlink, U.
|
| Journal / Serie | Building and Environment |
| Erscheinungsjahr | 2021 |
| Department | SUSOZ |
| Band/Volume | 206 |
| Seite von | art. 108354 |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| Keywords | 3D landscape metrics; Urban building patterns; Land surface temperature; Multiple building styles; Urban morphology |
| Abstract |
Urbanization
has produced extremely diverse structures of buildings, including horizontal
sprawl, vertical growth, and a transition from traditional to modern
architecture. Although the influence of urban morphology on urban heat
formation is unquestioned, previous research has relied just on the 2D building
composition and its influence on diurnal land surface temperatures (DLSTs).
However, it is not well known that the 3D building configuration affects
nocturnal land surface temperatures (NLSTs) and seasonal variations. In a new
approach, a set of 3D landscape metrics, based on both aspects of composition
and configuration, is here proposed and tested for spatiotemporal associations
to land surface temperatures (LSTs) in Beijing's old city. The combination of
classical and modern architecture styles makes this region an ideal laboratory
for LST studies in highly different urban structures. Major findings include:
1) 3D landscape metrics effectively and suitably describe the diversity,
irregularity and spatial arrangement of buildings; 2) Denser and more compact
building patterns result in higher DLSTs, whereas highest NLSTs occur around
modern high-rise buildings; 3) 3D landscape metrics have sensitive correlations
to DLSTs, but in general NLSTs are closer associated with composition metrics
rather than configuration metrics; 4) Both DLST and NLST are most importantly
affected by building numbers and nearest distances between buildings; 5) The
association between urban morphology and LSTs is fairly stable over all four seasons;
with the variation that the summer relationship was relatively lower due to
stronger solar radiation and evapotranspiration of urban vegetation. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=25172 |
| Guo, F., Wu, Q., Schlink, U. (2021): 3D building configuration as the driver of diurnal and nocturnal land surface temperatures: Application in Beijing's old city Build. Environ. 206 , art. 108354 |
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