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Найдено документов в текущей БД: 5

    A discrete-continuous agent model for fire evacuation modeling from multistory buildings
/ E. Kirik, A. Malyshev // Civil Engineering and Urban Planning III - Proceedings of the 3rd International Conference on Civil Engineering and Urban Planning, CEUP 2014. - 2014. - 3rd International Conference on Civil Engineering and Urban Planning, CEUP 2014 (20 June 2014 through 22 June 2014, Wuhan, ) Conference code: 105951. - P. 5-8 . -
Аннотация: In the paper a discrete-continuous model of pedestrian movement is presented. The model is implemented in SigmaEva evacuation module that is a part of "SigmaFS" software for fire safety engineering applications. Some case study of fire evacuation simulation is presented. This work has got partial financial support by the Integration project of SB RAS, number 49/2012. © 2014 Taylor & Francis Group.

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Держатели документа:
Institute of Computational Modeling SB RAS, Krasnoyarsk, Akademgorodok, Russian Federation

Доп.точки доступа:
Kirik, E.; Кирик, Екатерина Сергеевна; Malyshev, A.; Малышев, Андрей Валерьевич

    Typification of natural seasonal dynamics of vegetation to reveal impact of land surface change on environment (by satellite data)
/ A. Shevyrnogov [et al.] // Advances in Space Research. - 2000. - Vol. 26, Is. 7. - P. 1169-1172, DOI 10.1016/S0273-1177(99)01142-4 . - ISSN 0273-1177

Кл.слова (ненормированные):
ecological modeling -- ecosystem health -- land surface -- satellite data -- vegetation dynamics

Аннотация: Deep insight into types of vegetation variability provided by AVHRR space scanner images of vegetation index spatial distribution helps reveal impact of land surface changes on environment. The Institute of Computational Modeling SB RAS has developed nonparametric algorithms of automatic to classify and recognize patterns of these images which helped to reveal: (1) major variability types (generally connected); (2) areas belonging to small classes, which can be used to reveal deviations from 'normal' (e.g., forest fires, etc.); (3) deviation from a certain type of dynamics indicative of changes in condition of plants, which can be used to diagnose pathology at early stages; (4) impact of economical activities on vegetation in Norilsk area. The authors provide biological interpretation of the satellite data. Computer-animated dynamics and color maps are presented. Nonparametric algorithms of an automatic classification and pattern recognition were provided by the Institute of Computational Modeling SB RAS. (C) 2000 COSPAR. Published by Elsevier Science Ltd.

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Доп.точки доступа:
Shevyrnogov, A.; Vysotskaya, G.; Высоцкая, Галина Степановна; Sidko, A.; Dunaev, K.

    Development of an algorithm for assessing the underlying surface in the areas of felling on heat maps based on remote sensing data
/ A. V. Dergunov [et al.] // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM : International Multidisciplinary Scientific Geoconference, 2019. - Vol. 19: 19th International Multidisciplinary Scientific Geoconference, SGEM 2019 (30 June 2019 through 6 July 2019, ) Conference code: 150486, Is. 2.2. - P517-524, DOI 10.5593/sgem2019/2.2/S10.063 . -
Аннотация: Response to anthropogenic disturbances, recorded according to remote sensing of the Earth, has a long-term manifestation not only in the spectral characteristics of the channels of visible and near infrared ranges of satellite imagery, but also in the study of the temperature field. The paper deals with the local excess temperature of the underlying surface in the areas of cutting the territory of the Angara region, compared with the background values identified by satellite data Landsat 5 and 8 for the seventeen-year period. Estimates of the relative difference in the temperature of the underlying surface of the cutting area in comparison with the average background values are obtained. To this end, a number of software products to automate the archiving and conversion of satellite information has been developed. These software products are designed for calculation of the radio-brightness temperature of the underlying surface of disturbed and undisturbed areas of forest vegetation in the pre-selected areas of the territory. They are also used to average the obtained data of radio-brightness temperature and to calculate the difference between the average values of the radio-brightness temperature of the underlying surface of the disturbed areas relative to the undisturbed, that is, the background. This approach can significantly reduce the processing time of a large amount of information and optimize the amount of data storage. Separately, the study area was analyzed according to the NDVI vegetation index. The data obtained demonstrate a high rate of recovery of grass cover and grass-shrub layer immediately after damage to forest vegetation. It is shown that during the considered period of time (17 years) the value of excess temperature decreases, which is determined by the processes of vegetation restoration, including stand on felling. It is established that the increased temperatures of the underlying surface in the place of cuttings are remained for at least 15 years, and the temperature increase over the background values in the conditions of the observed successional processes is not less than 10%. As a limiting factor in the restoration of the temperature background of the underlying surface, fires can act. © SGEM2019. All Rights Reserved.

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Держатели документа:
Federal Research Center Krasnoyarsk Science Center of the SB RAS, Krasnoyarsk, Russian Federation
Institute of Computational Modelling SB RAS, Krasnoyarsk, Russian Federation
Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Dergunov, A. V.; Krasnoshchokov, K. V.; Ponomarev, E. I.; Yakubailik, O. E.

    A fire safety control system of educational institutions
/ R. V. Morozov // Journal of Physics: Conference Series : Institute of Physics Publishing, 2019. - Vol. 1399: International Scientific Conference on Applied Physics, Information Technologies and Engineering 2019, APITECH 2019 (25 September 2019 through 27 September 2019, ) Conference code: 156053, Is. 3. - Ст. 033065, DOI 10.1088/1742-6596/1399/3/033065 . -
Аннотация: The article describes the software system that allows to evaluate the state of fire safety of educational objects. The estimation is based on the analysis of the integral information on all factors influencing a condition of fire safety taking into account specificity of object. The value of fire risk is used as an evaluation indicator. It is calculated in accordance with the methodology approved by the Ministry of Emergency Situations. To facilitate the decision-making process, the system generates a set of recommendations for the decision-maker aimed at improving the level of fire safety of the object of education. © Published under licence by IOP Publishing Ltd.

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Держатели документа:
Institute of Computational Modeling of Siberian Branch, Russian Academy of Sciences, ICM SB RAS, 50/44, Akademgorodok, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Morozov, R. V.

    Methods and algorithms for remote sensing of particulate pollution from space at regional level
/ K. V. Krasnoshchekov, O. E. Yakubailik // CEUR Workshop Proceedings : CEUR-WS, 2019. - Vol. 2534: 2019 All-Russian Conference ""Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes"", SDM 2019 (26 August 2019 through 30 August 2019, ) Conference code: 156641. - P288-292 . -
Аннотация: Based on its measurements of the MODIS spectrometer installed on the TERRA and AQUA satellites, data on aerosol optical depth (AOD) with different spatial resolution are formed: 10, 3, 1 km. The relationship between AOT values measured using remote sensing and PM2.5 measured at automated observation posts (APS) was investigated. It is shown that the data with a spatial resolution of 1 km make it possible to see dusty zones inside the city. Aerosol Index was used to take into account the contribution of external factors, such as smoke from fires, to the ecological situation of the city. This information can be used as an objective assessment of the environmental situation. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

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Держатели документа:
Federal Research Center Krasnoyarsk Science Center of the SB RAS, Krasnoyarsk, Russian Federation
Institute of Computational Modelling SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Krasnoshchekov, K. V.; Yakubailik, O. E.