history of science UDC 629/3 (092)
TO THE MEMORY OF VINNIK Anatoly Fedoseevich (18.09.1937-11.11.2019) Vinnik M.A. publisher, Moscow, Russia;
e-mail:
mail@vinnik.ru Abstract. The short biography of Vinnik A.F., a labor veteran and a chief constructor of LLC "Agromashpro", is presented in this article.
Keywords: Vinnik A.F., agricultural engineering, Agromashpro, Construction and Road building machines, Karaganda State Industrial University (Temirtau), machine engineering
space researches UDC 550.3+551.5
HYPERSPECTRAL AIRBORNE REMOTE SENSING OF FOREST FIRES AND MODELING PARTICULAR SITUATIONS TO CEASE THEIR SPREADING Kozoderov V.V.1, Kuleshov A.A.2, Dmitriev E.V.3, Smirnov I.N.4 1 Dr. Sci. (Phys.-Math.), professor; M.V. Lomonosov Moscow State University, Leninskiye Gory, GSP-1, Moscow, 119991, Russia;
e-mail: vkozod@mail.ru
2Dr. Sci. (Phys.-Math.), professor Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Miusskaya sq. 4, Moscow 125047, Russia;
e-mail: andrew_kuleshov@mail.ru
3Cand. Sci. (Phys.-Math.), Institute of Numerical Mathematics of Russian Academy of Sciences, ul. Gubkina 8, Moscow 119333, Russia; Moscow Institute for Physics and Technology (State University), Institutskiy per. 9, Dolgoprudny, Moscow Region 141700, Russia;
e-mail: yegor@mail.ru
4Cand. Sci. (Phys.-Math.); M.V. Lomonosov Moscow State University, Leninskiye Gory, GSP-1, Moscow, 119991, Russia;
e-mail: andrew_kuleshov@mail.ru
Abstract. Some results of hyperspectral remote sensing imagery processing are shown using a domestic airborne imaging spectrometer for summer 2010 in Tver region of Russia, where severe peat and forest fires took place. Remote sensing imagery processing model is described to recognize land surface objects in accordance with their spectral and texture features. The related classification is done to identify the objects from the open plumes of fire to water bodies with different density of smoke from the forest and peat fire sources outside them, various types of green and yellow vegetation, the former burnt places, etc. Additionally, application of two-dimensional two-phase mathematical model of forest fires is considered. This model can serve to conduct numerical simulation of the forest fire front propagation for the non-homogeneous forest fuel distribution, obstacles to the fire spread and the effects of wind.
Keywords: peat and forest fires; hyperspectral imagery processing; classification model of scenes containing fires; mathematical modeling of emergency situations.
climatology UDC 551.345
MODERN PERMAFROST DYNAMICS IN ENVIRONMENTAL MANAGEMENT IN THE NORTH OF SIBERIA Shatz M.M.1, Cherepanova A.M.2 1Cand.Sci. (Geography), Leading Researcher Scientist;
e-mail: mmshatz@mail.ru
2 Junior Research Scientist;
e-mail: Alexandra_587@mail.ru
1, 2Melnikov Permafrost Institute, Siberian Branch, RAS; 36, Merzlotnaya Str., Yakutsk, 677010, Russia
Abstract. The relevance of study of permafrost dynamics main trends in environmental management in the North of Siberia and the assessment of its impact are shown. This phenomenon is usually accompanied by phase transitions in frozen ground and leads to changes of its properties, and strength and solidity loss. The main features of the permafrost area, commonly called as the cryolithozone and specific component of the natural environment are highlighted. The problem of its development exists since geocryology had become science and it hasn't lost its relevance so far. The effects of technogenic impact on frozen, especially icy grounds are particularly significant. Most of specialists are interested in the true correlation between man-made and natural factors that determine the trends of the dynamics of permafrost. One of the first considerations about technogenesis priority at the beginning of the 21st century advanced by scientists of the Institute of the Earth Cryosphere SB RAS (Tyumen) and Melnikov Permafrost Institute SB RAS(Yakutsk). The article highlights the main methods and approaches to monitoring of permafrost state, as well as some economic aspects of its deformation consequences.
Key words: main causes and trends of the current permafrost dynamics; cryolithozone specificity; technogenesis; methods and approaches of permafrost state monitoring.