Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

/ E. Kirik, T. Yurgel'Yan, D. Krouglov // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2010. - Vol. 6068 LNCS: 8th International Conference on Parallel Processing and Applied Mathematics, PPAM 2009 (13 September 2009 through 16 September 2009, Wroclaw, Is. PART 2. - P513-520, DOI 10.1007/978-3-642-14403-5_54 . -
Аннотация: This paper deals with mathematical model of pedestrian flows. We focus here on an "intelligence" of virtual people. From macroscopic viewpoint pedestrian dynamics is already well simulated but from microscopic point of view typical features of people movement need to be implemented to models. At least such features are "keeping in mind" two strategies - the shortest path and the shortest time and keeping a certain distance from other people and obstacles if it is possible. In this paper we implement mathematical formalization of these features to stochastic cellular automata (CA) Floor Field (FF) model. В© 2010 Springer-Verlag Berlin Heidelberg.

Scopus,
WOS

Держатели документа:
Institute of Computational Modelling, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Akademgorodok 660036, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
V.N. Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Kirik, E.; Yurgel'Yan, T.; Krouglov, D.

/ V. Margaryan, G. Tsibulskii, E. Fedotova // E3S Web of Conferences : EDP Sciences, 2020. - Vol. 223: 2020 Regional Problems of Earth Remote Sensing, RPERS 2020 (29 September 2020 through 2 October 2020, ) Conference code: 166122. - Ст. 03019, DOI 10.1051/e3sconf/202022303019 . -
Аннотация: The article assesses the change in air temperature and precipitation, and also examines the impact of climate change on crop yields in the Republic of Armenia. As a source of information, the actual data of agrometeorological observations of the GEO "Center for Hydrometeorology and Monitoring"of the Ministry of Environment of the Republic of Armenia and the National Statistical Service are used. As a result of the study, it turned out that there are trends towards an increase in the average annual values of air temperature and heat provision of crops (in total temperatures above 10.0 ° C). In the studied area, there are no regular changes in the amount of atmospheric precipitation over the year. The impact of climate change will only worsen and lead to various problems in water industry, agriculture, energy, health and other sectors. In the republic in 2000-2018 are observed of both the gross harvest and agricultural crops yield increase, with the exception of the tobacco crop. However, this does not mean that agricultural crops are not affected by climate change. © The Authors, published by EDP Sciences, 2020.

Scopus

Держатели документа:
Yerevan State University, Department of Physical Geography and Hydrometeorology, Faculty of Geography and Geology, Yerevan, Armenia
Siberian Federal University, Institute of Space and Information Technologies, Chair of Systems of Artificial Intelligence, 660074 Kirenskogo St. 26, Krasnoyarsk, Russian Federation
Sukachev Institute of Forest SB RAS, FRC KSC SB RAS, Academgorodok 50, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Margaryan, V.; Tsibulskii, G.; Fedotova, E.

/ Y. -H. Lin, P. -C. Lee, O. V. Menyailo, C. -H. Cheng // Forests. - 2021. - Vol. 12, Is. 9. - Ст. 1222, DOI 10.3390/f12091222 . - ISSN 1999-4907
Аннотация: Afforestation or abandonment of agricultural fields to forest regeneration is a method of sequestering carbon to offset the increasing atmospheric concentration of CO2. We selected 11 sites with altitudes ranging from 14 to 2056 m and with paired forest regenerated and adjacent agricultural fields. Our objectives were to (1) examine the changes in soil organic carbon (SOC) concentration and stock after forest regeneration of agricultural fields and (2) identify the factors related to elevation and adjacent agricultural practices that affect the SOC accumulation rate. Our results demonstrated overall increases in both SOC concentrations and stocks after forest regeneration of the abandoned agricultural fields. The average increase rates of SOC concentrations in the forest regenerated soil samples were 1.65 and 0.95 g C kg?1 at 0–10 and 10–20 cm depths, respectively, representing 101% and 65% increases relative to those in the soil samples from agricultural fields. The average accumulation rates of SOC stocks in the regenerated forests were 13.0 and 6.7 ton C ha?1 at the 0–10 and 10–20 cm depths, respectively, representing 96% and 62% increases relative to those in the agricultural soil samples. The average annual sequestration rate was 1.03 Mg C ha?1 year?1 for the top 0–20 cm soils, which is greater than that observed by previous reviews and meta-analyses. The tropical/subtropical climate, sampling soil depth, forest regeneration period, and tree species in this study are likely to have contributed to the high average SOC accumulation levels. In addition, the SOC stock accumulation rates were higher at low-elevation sites than at middle-elevation sites, which could also be attributed to the favorable climatic conditions at the low-elevation sites. Along with the build-up of carbon sequestration in the forest floor and tree biomass, the afforestation/abandonment of agricultural fields to forest regeneration appears to be a promising carbon offset mechanism. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Scopus

Держатели документа:
School of Forestry and Resource Conservation, National Taiwan University, Taipei, 106, Taiwan
Institute of Forest Research SB RAS, Krasnoyarsk, 660036, Russian Federation
Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Soil and Water Management & Crop Nutrition Laboratory, Seibersdorf, 2444, Austria

Доп.точки доступа:
Lin, Y. -H.; Lee, P. -C.; Menyailo, O. V.; Cheng, C. -H.