E-URAL
European Union and RussiA Link for S&T co-operation in the area of the environment

Information Newsletter
E-URAL Map

Russian-EU ENV Expertise Database

Scientist's application forms

Please, use the Partner search tool to find out your potential partner - Search on the Russian-EU ENV Expertise Database

To explore Russian regions research potential, please, use the E-URAL Map

Go to page:  1  2  3  4  5  6  7  8  9  10  11  12  13  14  15  16  17  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53  54  55  56  57  58  59 
Prof. Valery Tshovrebov — Agronomyl faculty, Stavropol State Agrarian University 29.08.2011
Organization Name:Stavropol State Agrarian University 
Department/Unit:Agronomyl faculty 
Short description of the organization/department/research team:Laboratory of monitoring of soils: carrying out of agrochemical inspection of fields and definition of the maintenance of such elements of a food, as N, P, K, S, Mn, Cu, Zn, Co, Mo, Ph carbonate, maintenances of a humus, salt structure; recommendations about application of fertilizers and working out of methods of increase of fertility of soils; definition of humidity and stocks of a soil productive moisture in arable and layers of earth; carrying out of field researches and soils of the agricultural enterprises; water analysis on salt structure and recommendations about expediency of its application with a view of an irrigation. 
Dr. Boris M. Kiryushov — Department of Upper Atmospheric Layers Physics, Central Aerological Observatory 29.08.2011
Organization Name:Central Aerological Observatory (CAO) 
Department/Unit:Department of Upper Atmospheric Layers Physics 
Short description of the organization/department/research team:
  • Experience in numerical modelling of middle atmosphere climate change with CCM SOCOL
  • Experience in atmospheric transport modelling including:
    • Development of trajectory model
    • Stratosphere-troposphere exchange studies
    • Forward and inverse modelling of greenhouse gases
 
Mrs. Tatyana Anatolyevna Makhova — Department of composite materials and building ecology, Northern (Arctic) Federal University 26.08.2011
Organization Name:Northern (Arctic) Federal University 
Department/Unit:Department of composite materials and building ecology 
Short description of the organization/department/research team:The department is equipped with laboratories of fire-technical expertise, composite materials, silicate and binder chemistry. The department areas of research: environmental safety of building process, new composite materials, nanocomposites, expertise of construction and finishing materials. 
Dr. Nataliya Kikhtenko — Closed Joint Stock Company «Biooil» (ZAO «Biooil») 26.08.2011
Organization Name:Closed Joint Stock Company «Biooil» (ZAO «Biooil») 
Department/Unit:Research Department 
Short description of the organization/department/research team: 
Prof. Lev S. Kuchment — Laboratory of Modelling of the Hydrological Cycle, Water Problems Institute of the Russian Academy of Sciences 26.08.2011
Organization Name:Water Problems Institute of the Russian Academy of Sciences 
Department/Unit:Laboratory of Modelling of the Hydrological Cycle 
Short description of the organization/department/research team:Water Problems Institute of the Russian Academy of Sciences investigates processes of formation of water resources and water quality and develops the methods of water resources systems management. Laboratory of Modelling of the Hydrological Cycle deals with modelling hydrological processes, hydrological forecasting and prediction, estimation of hydrological consequences of land use and climate change. The main result is a system of physically based and dynamic-stochastic models of the hydrological cycle including simulation of snow cover formation, heat and moisture transfer in soil, evapotranspiration, overland, subsurface and groundwater flow, unsteady flow in river channel system, water quality formation processes. The physically based and dynamic-stochastic models of runoff generation that simulates flood generation mechanisms for a wide range of possible combinations of meteorological and hydrological conditions including peculiarities of the extreme floods provides opportunities to avoid the hypothesis of stationarity of climate and hydrological systems. On the basis of these models, a number of practical techniques for forecasting floods and flood prediction in the conditions of land use and climate change have been developed. 
Go to page:  1  2  3  4  5  6  7  8  9  10  11  12  13  14  15  16  17  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53  54  55  56  57  58  59