Investigating the effects of surface moisture content on thermal infrared emissivity of urban underlying surfaces

发射率 不透水面 含水量 材料科学 低发射率 环境科学 水分 复合材料 岩土工程 地质学 光学 生态学 生物 物理
作者
Xue Zhong,Lihua Zhao,Xiang Zhang,Junru Yan,Peng Ren
出处
期刊:Construction and Building Materials [Elsevier BV]
卷期号:327: 127023-127023 被引量:8
标识
DOI:10.1016/j.conbuildmat.2022.127023
摘要

As an inherent property of materials, emissivity critically reflects the material composition. Despite evidence on the positive correlation between surface moisture content (SMC) and the emissivity for soil, such correlations for other urban underlying surfaces have not been examined. Accordingly, this paper aimed to investigate the effects of SMC on the emissivity of ten representative urban underlying surfaces (including impervious and permeable ones), through comparisons of their emissivity spectra before and after water-sprinkling. Based on the spectra, the sliding-window algorithm was used to identify SMC-sensitive bands of the surfaces, whose increments of emissivity within the SMC-sensitive and 8.0 – 13.5 μm bands were analyzed. Furthermore, for soil, models characterizing the relationship between its SMC and emissivity were established. The results showed that the emissivity of most underlying surfaces increased with SMC, which was particularly evident in the SMC-sensitive bands (8.0 – 10.0 μm). Additionally, the impacts of SMC on emissivity (8.0 – 13.5 μm) depend on the properties of the surfaces. SMC critically influenced the emissivity (8.0 – 13.5 μm) of the concrete pavement, granite pavement, asphalt road and soil: their increment exceeded 0.02, which could lead to substantial fluctuations in retrieving temperature (0.9, 2.1, 1.0 and 2.3 K, respectively). However, SMC was found to exert little effect on the emissivity (8.0 – 13.5 μm) of the permeable brick pavement, gravel road, red clay brick pavement, grasses and shrubs. Lastly, variations in emissivity of the soil with SMC were optimally characterized by the sigmoidal model, whose correlation was the highest (adjusted-R2 = 0.9848).
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