A5002427732- Peatlands and Wetlands Ecology
- Botany and Plant Ecology Studies
- Fluid Dynamics and Turbulent Flows
- Fire effects on ecosystems
- Soil and Environmental Studies
- Ecology and Vegetation Dynamics Studies
- Bryophyte Studies and Records
- Climate change and permafrost
- Forest Ecology and Biodiversity Studies
- Lichen and fungal ecology
- Atmospheric and Environmental Gas Dynamics
- Calibration and Measurement Techniques
- Gas Dynamics and Kinetic Theory
- Wind and Air Flow Studies
- Plasma and Flow Control in Aerodynamics
- Aerodynamics and Fluid Dynamics Research
- Atmospheric Ozone and Climate
- Computational Fluid Dynamics and Aerodynamics
- Atmospheric aerosols and clouds
- Heat Transfer Mechanisms
- Particle Dynamics in Fluid Flows
- Heat Transfer and Optimization
- Coastal wetland ecosystem dynamics
- Bat Biology and Ecology Studies
- Wildlife Ecology and Conservation
Moscow Institute of Physics and Technology
2024
Moscow Technical University of Communication and Informatics
2024
Institute of Forest Science
2017-2023
Federal Research Center of Fundamental and Translational Medicine
2023
Russian Academy of Sciences
1981-2021
Altai State University
2018-2019
Institute of Systematics and Ecology of Animals
2015-2019
Institute of Theoretical and Applied Mechanics
1990-2017
Novosibirsk State University
2010
Since the 1990s, many peatlands that were drained for peat extraction and agriculture in Russia have been abandoned with high CO2 emissions frequent fires, such as enormous fires around Moscow 2010. The fire hazard these can be reduced through peatland rewetting wetland restoration, so monitoring status is essential. However, large expanses, poor accessibility, fast plant succession pose challenges areas without satellite images. In this study, a technique involving multispectral data was...
Land cover changes following rewetting of 73 thousand hectares peatland after the severe 2010 peat fires in Moscow Region (Russia) were monitored using multispectral remote sensing. The results revealed a reduction area bare and dry grasslands, rapid expansion willow birch vegetation, steady increase wet grasslands open water. Both number clearly reduced compared to all wildfires region. Monitoring large areas over longer periods generally implies different satellites sensors. developed...
Forest-peat fires are notable for their difficulty in estimating carbon losses. Combined losses from tree biomass and peat soil were estimated at an 8 ha forest-peat fire the Moscow region after catastrophic 2010. The loss of was assessed by reconstructing forest stand structure using classification pre-fire high-resolution satellite imagery after-fire ground survey same classes adjacent areas. Soil root collars stumps to reconstruct surface interpolating characteristics non-burned mean...
Модели процессов совместного обслуживания мультисервисного трафика реального времени и эластичного
The results obtained in the present paper by different experimental methods and facilities show that transition Reynolds number increases steadily with decreasing temperature without frost formation on model surface. If appears model, reversal occurs. It takes place at temperatures corresponding to beginning of (i.e., crystallization water steam). Decreasing this temperature, we delay reversal. decrease is caused roughness. A sharp increase Re* value low values TH, surface may be explained...
М. А. Медведева и др.Возможности различных мультиспектральных космических данных для мониторинга… Современные проблемы ДЗЗ из космоса, 16(2), 2019 159 peatlands in other locations for inventory purposes and prioritization of sites rewetting restoration, as well monitoring status changes.The comparability data from different sensors allows combinations classified images creates new possibilities time series analysis.
«Вестник Санкт-Петербургского университета. Науки о Земле» — научно-теоретический рецензируемый журнал, обобщающий результаты исследований в области геологии, гидрогеологии и геохимии, петрологии экологии, ландшафтного планирования геоморфологии, экономической социальной географии.
cf = skin-friction coefficient f frequency, Hz k roughness height M Mach number P0 total pressure, kPa q heat flux, W=m Rex Reynolds Re1 unit number, m 1 T temperature, K T0 stagnation u velocity along the cone surface, m=s wall friction velocity, X longitudinal coordinate measured mm kinematic viscosity, density, kg=m shear stress, N=m
RUSSIAN JOURNAL OF FOREST SCIENCE, 2019, No. 5, P. 410-422 DEPTH PEAT BURNING AND CARBON LOSSES FROM AN UNDERGROUND FIRE A. Sirin 1 , D. Makarov Maslov I. Gummert 2 Ya. Gul’be Institute of Forest Science, Russian Academy Sciences, Sovetskaya st. 21,Uspenskoe, Moscow region, 143030 Russia E-mail: sirin@ilan.ras.ru University Greifswald, Soldmannstrasse 15, D-17487 Germany Received 13 February 2019 The underground (peat) fires lead among forest by the volumes material burned per unit area and,...