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The influence of wind speed on infrared temperature in impervious surface areas based on in situ measurement data

机译:风速对基于原位测量数据的不透水表面积红外温度的影响

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摘要

Wind perturbations can cause a relatively rapid decay in infrared temperature, thus resulting in abnormal spatial patterns of infrared temperature in urban areas and the subsequent reduction in the reliability of infrared temperature measurements. To increase the reliability of such measurements, the effects of wind speed must be evaluated and removed. However, studies on the quantitative estimation of wind speed effects on infrared temperature are limited. In this study, in situ infrared temperature measurements and synchronous meteorological data were used to evaluate the influence of wind speed on in situ infrared temperature measurements of impervious surfaces. Five different impervious surfaces were selected in this study. The technical schemes are proposed for quantitative estimation of wind speed effects: (1) the residual-based method from the diurnal temperature cycle model was proposed to estimate the infrared temperature decay (ITD) due to wind fluctuations; (2) quantile regression method was introduced to define the relationship between wind speed fluctuations and the ITD; and (3) An improved probabilistic prediction interval as well as a ratio method were developed to estimate the magnitude and duration of the ITD. The results indicated that relative extreme wind speed (EWS) was significantly correlated with the range of ITD over 5-min intervals; the hourly decay rate and impact duration of ITD varied with changes in relative wind speed and impervious surface type; and the impact duration of ITD increased with an increase in the relative EWS and lasted more than 1.3 h for the studied impervious surfaces. The above findlings provide us a guidance for in situ measurement of infrared temperature and could be utilized for correcting thermal infrared images.
机译:风扰动会导致红外温度相对快速衰减,从而导致城市地区红外温度异常的空间模式以及随后的红外温度测量可靠性降低。为了提高这种测量的可靠性,必须评估和移除风速的影响。然而,关于风速估计对红外温度的定量估计的研究有限。在本研究中,原位红外线测量和同步气象数据用于评估风速对不透水表面的原位红外温度测量的影响。本研究中选择了五种不同的不透水表面。提出了技术方案,用于量化风速效应的定量估计:(1)提出了来自日温度循环模型的残余方法,以估计由于风波动引起的红外线衰减(ITD); (2)介绍量化回归方法,以定义风力波动波动与ITD之间的关系; (3)开发了改进的概率预测间隔以及比率方法以估计ITD的幅度和持续时间。结果表明,相对极端风速(EWS)与5分钟内的ITD的范围显着相关; ITD的每小时衰减率和影响持续时间随着相对风速和不透水表面类型的变化而变化。并且ITD的冲击持续时间随着相对EW的增加而增加,并且对于学习的不透水表面持续超过1.3小时。上述查找为我们提供了原位测量红外温度的指导,并且可以用于校正热红外图像。

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