Searching for the relationship between the temperature and humidity of tailings material by processing digital photographs of laboratory experiments and color models

IF 0.2 Q4 FORESTRY Lesnoy Zhurnal-Forestry Journal Pub Date : 2023-06-20 DOI:10.21440/0536-1028-2023-3-66-85
P. V. Amosov, A. Goriachev, Kirill A. Malodushev, Dmitrii Makarov, V. Masloboev
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Abstract

Relevance. Tailings beach surface dries and deflates, which intensifies the dusting process, results in ecosystems disruption on the adjacent territories, and adversely impacts health of population. The use of digital photographs, including those obtained with the help of unmanned aerial vehicles, seems to be promising in terms of reagents application simplification and dusting minimization. Research objective is to determine the quantitative relationship between the temperature and humidity of tailings materials by analyzing the digital photographs of laboratory experiments using RGB and Lab methods. Methods of research. Standard equipment was used to perform a laboratory experiment to determine the temperature and humidity of tailing dump surface layer samples. Digital photographs were taken in natural light and UV light. At the first stage, the images were processed to obtain the values of the components of two color models, RGB (redness and saturation indices were calculated) and Lab (the color difference index was calculated, two standards of black and white were used). At the second stage, as a “zero” approximation, the simplest (linear) analytical dependence between temperature and humidity was studied. Results and analysis. The coefficients of calculated linear dependences are compared with the corresponding coefficients of direct experimental data processing. It is shown that in natural light: the smallest deviations for the dependence of temperature on humidity correspond to the redness index in the RGB method and the black standard in the Lab method; the smallest deviations for the dependence of humidity on temperature correspond to the saturation index in the RGB method and the black standard in the Lab method. It is shown that in UV light: the smallest deviations for the dependence of temperature on humidity correspond to the saturation index in the RGB method and the black standard in the Lab method; the smallest deviations of the dependence of humidity on temperature correspond to the redness index in the RGB method and the white standard in the Lab method. Conclusions and scope. The mentioned indices and colors of standards can be recommended when processing similar laboratory experiments and natural studies directly on the dusting site.
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通过处理实验室实验数码照片和彩色模型,寻找尾矿物料温度与湿度的关系
的相关性。尾矿滩表面的干燥和收缩加剧了扬尘过程,对邻近地区的生态系统造成破坏,并对人口健康产生不利影响。使用数码照片,包括在无人机的帮助下获得的照片,在试剂应用简化和粉尘最小化方面似乎很有前途。研究目的是通过RGB法和Lab法对实验室实验的数字照片进行分析,确定尾矿物料的温度和湿度之间的定量关系。研究方法。采用标准设备进行室内试验,测定尾矿库表面层样品的温度和湿度。数码照片是在自然光和紫外线下拍摄的。首先对图像进行处理,得到RGB(计算红度和饱和度指数)和Lab(计算色差指数,使用黑白两种标准)两种颜色模型的分量值。在第二阶段,作为“零”近似,研究了温度和湿度之间最简单的(线性)解析关系。结果和分析。将计算得到的线性相关系数与直接实验数据处理的相应系数进行了比较。结果表明:在自然光条件下,温度对湿度的依赖性的最小偏差对应于RGB法中的红度指数和Lab法中的黑色标准;湿度对温度依赖性的最小偏差对应于RGB法中的饱和指数和Lab法中的黑色标准。结果表明:在紫外光下,温度对湿度的依赖性偏差最小,对应于RGB法的饱和指数和Lab法的黑色标准;湿度对温度依赖性的最小偏差对应于RGB法中的红色指数和Lab法中的白色标准。结论和范围。上述指标和标准颜色可直接在粉尘现场进行类似的实验室实验和自然研究时推荐使用。
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