Peer-reviewed articles 17,970 +



Title: APPROACH TO THE TEMPERATURE AND HUMIDITY RELATIONSHIP OF THE TAILING MATERIAL ON THE BASIS OF THE PROCESSING OF DIGITAL PICTURES AND COLOR MODELS

APPROACH TO THE TEMPERATURE AND HUMIDITY RELATIONSHIP OF THE TAILING MATERIAL ON THE BASIS OF THE PROCESSING OF DIGITAL PICTURES AND COLOR MODELS
Pavel V. Amosov; Andrey A. Goryachev; Dmitriy V. Makarov; Vladimir V. Masloboev; Kirill A. Malodushev
10.5593/sgem2023/5.1
1314-2704
English
23
5.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
The result of determining the quantitative relationship between the temperature and humidity of enrichment waste materials based on the analysis of digital photographs of laboratory experiments using RGB and Lab methods is presented. Using standard equipment, a laboratory experiment was performed to determine the temperature and humidity of samples of the tailing dam surface layer. Digital photographs of the samples were taken in natural light. The images were processed on a computer to obtain the components values of two color models – RGB and Lab. As a "zero" approximation, the simplest analytical dependence (linear) of temperature on humidity (and vice versa) was studied. The coefficients of calculated linear dependences are compared with the corresponding coefficients of direct processing of experimental data. Indexes and colors of reference pattern are recommended when processing similar laboratory experiments and field studies directly on the dusting object. It was shown that the minimum deviations for the dependences of temperature on humidity correspond to the redness index in the RGB method and the black reference pattern in the Lab method. The minimum deviations for the dependence of humidity on temperature correspond to the saturation index in the RGB method and the black reference pattern in the Lab method.
[1] Makarov D.V., Konina O.T., Goryachev A.A. Dusting suppression at tailings storage facilities // Journal of Mining Science. 2020. V. 57. No. 4. P. 160–170.
[2] Zuniga-Barra H., Toledo-Alarcon J., Torres-Aravena A, Jorquera L., Rivas M., Gutierrez L., Jeison D. Improving the sustainable management of mining tailings through microbially induced calcite precipitation: A review // Minerals Engineering. 2022. V. 189. 107855.
[3] Madeira J., Bedidi A., Cervelle B., Pouget M. and Flay N. Visible spectrometric indices of hematite (Hm) and goethite (Gt) content in lateritic soils: the application of a Thematic Mapper (TM) image for soil-mapping in Brasilia, Brazil // International Journal of Remote Sensing. 1997. V. 18. Р. 2835–2852.
[4] Mathieu R., Pouget M., Cervelle B. and Escadafal R. Relationships between satellite-based radiometric indices simulated using laboratory reflectance data and typic soil colour of an arid environment // Remote Sensing of Environment. 1998. V. 66. Р. 17–28.
[5] Levin N., Ben-Dor E. and Singer A. A digital camera as a tool to measure colour indices and related properties of sandy soils in semi-arid environments // International Journal of Remote Sensing. 2005. V. 26. No. 24. P. 5475–5492.
[6] Valeeva A. A., Aleksandrova A. B., Koposov G. F. Color characteristics of forest soils of the Volga-Kama forest-steppe // Proceedings of Kazan university. Natural sciences series. 2015. V. 157, No. 3. P. 58-66.
[7] Kirillova N. P., Silyova T. M. Soil color analysis using a digital camera // The Bulletin of Moscow University. Series 19. Soil science. 2017, No. 1. P. 16-23.
[8] GOST 5180-2015. Soils. Laboratory methods for determination of physical characteristics. М., Standards Publishing House, 2016. 23 p.
[9] RGB. URL: https://media.contented.ru/glossary/rgb/ (date of the application: 26.04.2022).
[10] Differences in RGB, CMYK, HSB color models. URL: https://accent.su/blog/razlichiya-tsvetovyh-modelej-rgb-cmyk-hsb/ (date of the application: 26.04.2022).
[11] Lecture. Device independent color models. URL: http://vtk34.narod.ru/putilina_rastrgraphic/lek/6/index.htm (date of the application: 26.04.2022).
[12] About color spaces URL: https://habr.com/ru/post/181580/ (date of the application: 26.04.2022).
[13] CIE, 2004. Publication 15 // C.C. Bureau (Ed.). Colorimetry. 3rd ed. Vienna, 2004. 82 P.
conference
Proceedings of 23rd International Multidisciplinary Scientific GeoConference SGEM 2023
23rd International Multidisciplinary Scientific GeoConference SGEM 2023, 03 - 09 July, 2023
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
21-30
03 - 09 July, 2023
website
9271
enrichment waste, temperature, humidity, digital photograph, RGB and Lab color models