A Geometric Model to Simulate Urban Thermal Anisotropy in Simplified Dense Neighborhoods (GUTA-Dense)
A Geometric Model to Simulate Urban Thermal Anisotropy in Simplified Dense Neighborhoods (GUTA-Dense)
复制标题
模拟简化密集社区(GUTA-Dense)中城市热各向异性的几何模型
DOI:
10.1109/tgrs.2019.2904871
复制
发表时间:
2019-08
影响因子:
8.2
通讯作者:
Yunhao Chen
中科院分区:
文献类型:
--
作者:
D;an Wang;Yunhao Chen
Remotely observed urban surface temperature varies with viewing direction due to the 3-D structure of buildings and heterogeneous temperature distributions. A previous model, GUTA-osg, was developed to simulate urban thermal anisotropy (UTA) in simplified neighborhoods. However, this model fails in neighborhoods with plan area fraction <inline-formula> <tex-math notation="LaTeX">$\lambda _{p}> 0.3$ </tex-math></inline-formula> and aspect ratio <inline-formula> <tex-math notation="LaTeX">$h/w > 2$ </tex-math></inline-formula>. In this paper, a limitation of the variation of component fractions that are in relation with UTA is imposed on GUTA-osg and a new geometric model is derived to simulate UTA at large view zenith angles (VZA) for high-density neighborhoods (GUTA-dense). The two geometric models have a unified structure, and thus the combination of them can be used for inversion purposes. Evaluation using the 3-D discrete anisotropic radiative transfer (DART) model shows that the use of the GUTA-dense model helps obtain reliable component temperature differences from directional temperatures in highly dense neighborhoods. According to the limitations, the applicable VZAs and urban geometries of the GUTA-dense model are derived. In dense neighborhoods with <inline-formula> <tex-math notation="LaTeX">$h/w_{\text {3D}} > 2$ </tex-math></inline-formula>, thermal anisotropy for VZAs greater than 50° should be simulated by combining the GUTA-osg and GUTA-dense models. The larger the <inline-formula> <tex-math notation="LaTeX">$h/w_{\text {3D}}$ </tex-math></inline-formula>, the lower is the VZA where the GUTA-dense model is necessary. Variable building height tends to decrease model accuracy because roofs start to contribute to thermal anisotropy. The directionality of emissivity is another factor that needs to be considered in the next step to model the angular variation of remotely observed brightness temperature.
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影响因子:
13.5
作者:
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通讯作者:
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影响因子:
13.5
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通讯作者:
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DOI:
10.1109/jstars.2011.2168195
发表时间:
2012-02-01
影响因子:
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作者:
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通讯作者:
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