《The hysteresis effect on surface-air temperature relationship and its implications to urban planning: An examination in Phoenix, Arizona, USA》
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- 作者
- 来源
- LANDSCAPE AND URBAN PLANNING,Vol.167,P.198-211
- 语言
- 英文
- 关键字
- Hysteresis effect; Remote sensing; Sensor network; Surface-air temperature relationship; Urban climate; HEAT-ISLAND; ENERGY; MODEL; ENVIRONMENT; IMPACTS; CLIMATE; FLUXES; SENSITIVITY; METABOLISM; VEGETATION
- 作者单位
- [Song, Jiyun; Wang, Zhi-Hua] Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ 85287 USA. [Myint, Soe W.; Wang, Chuyuan] Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85287 USA. [Song, Jiyun] Univ Cambridge, Ctr Math Sci, Dept Appl Math & Theoret Phys, Wilberforce Rd, Cambridge CB3 0WA, England. [Song, Jiyun] Univ Cambridge, Dept Architecture, 1-5 Scroope Terrace, Cambridge CB2 1PX, England. Wang, ZH (reprint author), Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ 85287 USA. E-Mail: zhwang@asu.edu
- 摘要
- Urban areas, with massive built-up landscapes and manmade structures, have different patterns of local microclimate as compared to natural terrains. A better understanding of the surface-air temperature relationship in urban environments is of significant importance in interpreting urban climatic characteristics and solving related environmental problems via sustainable landscape planning strategies. In this study, we analyse the ground based in-situ measurements as well as remotely sensed thermal dataset in Phoenix, AZ. Prominent hysteresis effect manifests in correlating diurnal cycles of surface and near-surface air temperatures. In particular, a peculiar pattern of "8-shaped" surface-air temperature hysteresis is observed over concrete pavement especially in winters. Pearson's r values, measuring the strength of surface-air temperature coupling, show strong correlation with incoming solar radiation and wind speed, but are relatively insensitive to humidity. The hysteresis effect diminishes at climatic scale, such that the remotely sensed surface temperature can be approximated as linearly correlated to the near-surface air temperature.