The Experts below are selected from a list of 105 Experts worldwide ranked by ideXlab platform
Vladimir F. Krapivin - One of the best experts on this subject based on the ideXlab platform.
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Modeling the state of marine ecoSystems: A case study of the Okhotsk Sea
Journal of Marine Systems, 2019Co-Authors: Costas A. Varotsos, Vladimir F. KrapivinAbstract:Abstract We provide an efficient tool for the processing of a large volume of data (big data) from a marine ecoSystem and predicting its status, including its complex and nonlinear biological structure (biocomplexity) and its ability to remain alive or continue to exist (survivability). The Geoecological Information-Modeling System developed earlier by the authors of this paper is used for the first time as a basis for the development of the Sea EcoSystem Model that parameterizes the energy exchange between major trophic components of the sea with spatial resolution 1/6° × 1/6° taking into account natural and anthropogenic factors. In particular, the dependence of energy exchange processes on environmental factors is modeled with a minimum level of uncertainty. The biological components are modeled using traditional trophic balance equations, whose coefficients are determined from observational data. The simulation results for the Okhotsk Sea show the critical ecoSystem states that prevail when the biocomplexity and survivability of this ecoSystem reach dangerous levels. The prediction of the ecoSystem status is carried out to 2100 with an accuracy of better than 79.9%. For this purpose, the complex model proposed recently by the same authors, entitled “nature-society System model”, was used. Among the main results that have emerged is that the biocomplexity and survivability characteristics of this marine ecoSystem will be stable over the next 100 years, regardless of the expected climate change.
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pollution of arctic waters has reached a critical point an innovative approach to this problem
Water Air and Soil Pollution, 2018Co-Authors: C Varotsos, Vladimir F. KrapivinAbstract:One of the most important problems in the Arctic Basin is the pollution of its waters and the assessment of its impact on the ecological System of this region. In this paper, we recommend using the geoecological Information-Modeling System (GIMS) as one of the Big Data tools to address this problem. Specifically, the GIMS includes a series of specific models describing ecological, hydrological, climatic, and hydrochemical processes in Arctic waters. The synthesis of GIMS with the Arctic Basin EcoSystem (ABE) model provides the GIMS-ABE coupled model that takes into account various sources of pollutants, including river runoffs, long-range atmospheric transport, and anthropogenic activities in the coastal zone, as well as ships. In the simulation experiments performed in the present study, heavy metals, oil hydrocarbons, and radionuclides are considered as primary contaminants. In addition, the biocomplexity and survivability indicators were considered as Information values to predict the status of the Arctic ecoSystem. The results showed a high sensitivity of the Arctic ecoSystem to pollution that is currently close to a tipping point. In particular, it emerged that the current state of pollution intensity leads to increased accumulation of pollutants in marine waters at different rates ranging from 7 to 23% depending on the Arctic aquatic environment.
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A new big data approach based on geoecological Information-Modeling System
Big Earth Data, 2017Co-Authors: Costas A. Varotsos, Vladimir F. KrapivinAbstract:In this paper, the geoecological Information-Modeling System (GIMS) is described as possible improvement of the Big Data approach. The main GIMS function is the use of algorithms and models that ca...
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The effects of large climate fluctuations on forests as a Big Data approach
arXiv: Atmospheric and Oceanic Physics, 2017Co-Authors: Costas A. Varotsos, Vladimir F. KrapivinAbstract:In the present study it is shown that significant impacts on forests can lead to large climate fluctuations at global level. This research takes into account various scenarios for the reconstruction of forest areas using the geo-ecological Information-Modeling System. This tool is described as a possible improvement of the Big Data approach. Its structure includes 24 blocks that combine a series of models and algorithms for the global processing of large data and their analysis. The key block of this tool is the global model of the climate-nature-society System.
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CSCS - Geoecological Information-Modeling System as a Tool for Global Environmental Diagnostics
2017 21st International Conference on Control Systems and Computer Science (CSCS), 2017Co-Authors: Vladimir F. Krapivin, Vladimir Yu. Soldatov, Costica Nitu, Alexandru DumitrascuAbstract:New Information–Modeling technology is developed, to be as a tool for the diagnostics of climate-nature-society System with the view of sustainable development strategies. The questions of environmental monitoring System synthesis are discussed with the use of different instrumental means. Complex of models and algorithms is listed to be as a base of Information-Modeling technology. Examples of simulation Modeling results are given to demonstrate the possibilities of proposed Information-Modeling System.
Costas A. Varotsos - One of the best experts on this subject based on the ideXlab platform.
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Modeling the state of marine ecoSystems: A case study of the Okhotsk Sea
Journal of Marine Systems, 2019Co-Authors: Costas A. Varotsos, Vladimir F. KrapivinAbstract:Abstract We provide an efficient tool for the processing of a large volume of data (big data) from a marine ecoSystem and predicting its status, including its complex and nonlinear biological structure (biocomplexity) and its ability to remain alive or continue to exist (survivability). The Geoecological Information-Modeling System developed earlier by the authors of this paper is used for the first time as a basis for the development of the Sea EcoSystem Model that parameterizes the energy exchange between major trophic components of the sea with spatial resolution 1/6° × 1/6° taking into account natural and anthropogenic factors. In particular, the dependence of energy exchange processes on environmental factors is modeled with a minimum level of uncertainty. The biological components are modeled using traditional trophic balance equations, whose coefficients are determined from observational data. The simulation results for the Okhotsk Sea show the critical ecoSystem states that prevail when the biocomplexity and survivability of this ecoSystem reach dangerous levels. The prediction of the ecoSystem status is carried out to 2100 with an accuracy of better than 79.9%. For this purpose, the complex model proposed recently by the same authors, entitled “nature-society System model”, was used. Among the main results that have emerged is that the biocomplexity and survivability characteristics of this marine ecoSystem will be stable over the next 100 years, regardless of the expected climate change.
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A new big data approach based on geoecological Information-Modeling System
Big Earth Data, 2017Co-Authors: Costas A. Varotsos, Vladimir F. KrapivinAbstract:In this paper, the geoecological Information-Modeling System (GIMS) is described as possible improvement of the Big Data approach. The main GIMS function is the use of algorithms and models that ca...
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The effects of large climate fluctuations on forests as a Big Data approach
arXiv: Atmospheric and Oceanic Physics, 2017Co-Authors: Costas A. Varotsos, Vladimir F. KrapivinAbstract:In the present study it is shown that significant impacts on forests can lead to large climate fluctuations at global level. This research takes into account various scenarios for the reconstruction of forest areas using the geo-ecological Information-Modeling System. This tool is described as a possible improvement of the Big Data approach. Its structure includes 24 blocks that combine a series of models and algorithms for the global processing of large data and their analysis. The key block of this tool is the global model of the climate-nature-society System.
V. Yu. Noskov - One of the best experts on this subject based on the ideXlab platform.
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Development of Information Modeling System of coal-dust fuel injection into tuyeres of blast furnace
Izvestiya. Ferrous Metallurgy, 2020Co-Authors: V. S. Shvydkii, S. P. Kudelin, I. A. Gurin, V. Yu. NoskovAbstract:The article considers a mathematical model of combustion zone of blast furnace working with the use of injection of coal-dust fuel. In this model, two subSystems were identified: 1) subSystem of heating the particles of coal dust and volatiles release in the combustion zone; 2) subSystem of heat exchange and combustion processes in the tuyere. A two-dimensional velocity field of gas in the combustion zone was investigated. The combustion processes are considered as a set of simultaneously developing phenomena of coke burning in a layer, single pieces of coke and particles of coal dust. The model includes following equations: total gas mass balance, gas component mass balance, gas heat balance, movement of coal dust particles and heat balance of coal dust particles. The model calculates maximum burning temperature in combustion zone; the distance from the cut of the tuyere to the focus of combustion; the length of the oxygen combustion zone; gas temperature; the content of gas phase components and the degree of carbon burnout of pulverized coal at the outlet of the tuyere combustion zone. Information-Modeling System has been developed. It allows investigation of influence of combined blast characteristics, the properties of coke and coal-dust fuel, the geometric dimensions of tuyeres and other factors on temperature fields and concentrations of components of gas phase in combustion zone. The model also helps to select a rational mode of pulverized coal that will ensure completeness of its combustion in the tuyere combustion zone. Main functions of the program are as follows: representation of results of calculation in form of tables and diagrams, storage of options of basic data in a database and export of results of calculation to Microsoft Excel. Conclusions were made on reduction of combustion temperature in combustion zone and the approach of focus of combustion to the tuyere when pulverized coal was injected. The authors also have established the need to use coals with certain quality characteristics and place where coal dust was introduced into the blast stream.
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Development of an Information Modeling System of Coal-Dust Fuel Injection into Tuyeres of a Blast Furnace
Steel in Translation, 2019Co-Authors: V. S. Shvydkii, S. P. Kudelin, I. A. Gurin, V. Yu. NoskovAbstract:The article considers a mathematical model of the combustion zone of a blast furnace working with the use of the injection of coal-dust fuel. In this model, two subSystems were identified: (1) subSystem of heating the particles of coal dust and volatiles released in the combustion zone; (2) subSystem of heat exchange and combustion processes in the tuyere. A two-dimensional velocity field of gas in the combustion zone was investigated. The combustion processes are considered as a set of simultaneously developing phenomena of coke burning in a layer, single pieces of coke and particles of coal dust. The model includes the following equations: total gas mass balance, gas component mass balance, gas heat balance, movement of coal dust particles, and heat balance of coal dust particles. The model calculates maximum burning temperature in the combustion zone, the distance from the cut of the tuyere to the focus of combustion, the length of the oxygen combustion zone, gas temperature, the content of gas phase components, and the degree of carbon burnout of pulverized coal at the outlet of the tuyere combustion zone. An Information-Modeling System has been developed. It allows for the investigation of the influence of combined blast characteristics, the properties of coke and coal-dust fuel, the geometric dimensions of tuyeres, and other factors on the temperature fields and concentrations of components of the gas phase in the combustion zone. The model also helps to select a rational mode of pulverized coal that will ensure completeness of its combustion in the tuyere combustion zone. The main functions of the program are as follows: representation of results of calculation in form of tables and diagrams, storage of options of basic data in a database, and export of results of calculation to Microsoft Excel. Conclusions were made on the reduction of the combustion temperature in the combustion zone and the approach of the focus of combustion to the tuyere when pulverized coal was injected. The authors also have established the need to use coals with certain quality characteristics and place where coal dust was introduced into the blast stream.
V. S. Shvydkii - One of the best experts on this subject based on the ideXlab platform.
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Development of Information Modeling System of coal-dust fuel injection into tuyeres of blast furnace
Izvestiya. Ferrous Metallurgy, 2020Co-Authors: V. S. Shvydkii, S. P. Kudelin, I. A. Gurin, V. Yu. NoskovAbstract:The article considers a mathematical model of combustion zone of blast furnace working with the use of injection of coal-dust fuel. In this model, two subSystems were identified: 1) subSystem of heating the particles of coal dust and volatiles release in the combustion zone; 2) subSystem of heat exchange and combustion processes in the tuyere. A two-dimensional velocity field of gas in the combustion zone was investigated. The combustion processes are considered as a set of simultaneously developing phenomena of coke burning in a layer, single pieces of coke and particles of coal dust. The model includes following equations: total gas mass balance, gas component mass balance, gas heat balance, movement of coal dust particles and heat balance of coal dust particles. The model calculates maximum burning temperature in combustion zone; the distance from the cut of the tuyere to the focus of combustion; the length of the oxygen combustion zone; gas temperature; the content of gas phase components and the degree of carbon burnout of pulverized coal at the outlet of the tuyere combustion zone. Information-Modeling System has been developed. It allows investigation of influence of combined blast characteristics, the properties of coke and coal-dust fuel, the geometric dimensions of tuyeres and other factors on temperature fields and concentrations of components of gas phase in combustion zone. The model also helps to select a rational mode of pulverized coal that will ensure completeness of its combustion in the tuyere combustion zone. Main functions of the program are as follows: representation of results of calculation in form of tables and diagrams, storage of options of basic data in a database and export of results of calculation to Microsoft Excel. Conclusions were made on reduction of combustion temperature in combustion zone and the approach of focus of combustion to the tuyere when pulverized coal was injected. The authors also have established the need to use coals with certain quality characteristics and place where coal dust was introduced into the blast stream.
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Development of an Information Modeling System of Coal-Dust Fuel Injection into Tuyeres of a Blast Furnace
Steel in Translation, 2019Co-Authors: V. S. Shvydkii, S. P. Kudelin, I. A. Gurin, V. Yu. NoskovAbstract:The article considers a mathematical model of the combustion zone of a blast furnace working with the use of the injection of coal-dust fuel. In this model, two subSystems were identified: (1) subSystem of heating the particles of coal dust and volatiles released in the combustion zone; (2) subSystem of heat exchange and combustion processes in the tuyere. A two-dimensional velocity field of gas in the combustion zone was investigated. The combustion processes are considered as a set of simultaneously developing phenomena of coke burning in a layer, single pieces of coke and particles of coal dust. The model includes the following equations: total gas mass balance, gas component mass balance, gas heat balance, movement of coal dust particles, and heat balance of coal dust particles. The model calculates maximum burning temperature in the combustion zone, the distance from the cut of the tuyere to the focus of combustion, the length of the oxygen combustion zone, gas temperature, the content of gas phase components, and the degree of carbon burnout of pulverized coal at the outlet of the tuyere combustion zone. An Information-Modeling System has been developed. It allows for the investigation of the influence of combined blast characteristics, the properties of coke and coal-dust fuel, the geometric dimensions of tuyeres, and other factors on the temperature fields and concentrations of components of the gas phase in the combustion zone. The model also helps to select a rational mode of pulverized coal that will ensure completeness of its combustion in the tuyere combustion zone. The main functions of the program are as follows: representation of results of calculation in form of tables and diagrams, storage of options of basic data in a database, and export of results of calculation to Microsoft Excel. Conclusions were made on the reduction of the combustion temperature in the combustion zone and the approach of the focus of combustion to the tuyere when pulverized coal was injected. The authors also have established the need to use coals with certain quality characteristics and place where coal dust was introduced into the blast stream.
V. F. Krapivin - One of the best experts on this subject based on the ideXlab platform.
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A Modeling System for Monitoring Water Quality in Lagoons
Water Air & Soil Pollution, 2017Co-Authors: V. F. Krapivin, C. A. Varotsos, B. Q. NghiaAbstract:Regular monitoring of key water quality parameters is important for assessing the hydrological status of a lagoon and its management activities. In this study, a new cost-effective technique based on the geo-ecological Information-Modeling System (GIMS) is implemented employing the combined use of simulation experiments and in-field observations to investigate the problem of optimizing water quality monitoring of a lagoon. The GIMS is accompanied by 39 elements selected in 8 management Systems and 31 functional elements, which are described in detail. It is shown that the combined use of model and field observations allows reliable recording of lagoon water quality and optimization of the monitoring regime. Finally, simulation experiments are presented, demonstrating the fidelity of the proposed Modeling System to optimize water quality control through regular in-field measurements and simulations.
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A Modeling System for monitoring the air - water pollution
arXiv: Geophysics, 2017Co-Authors: V. F. Krapivin, C. A. Varotsos, B. Q. NghiaAbstract:Regular monitoring of key water quality parameters is important for assessing its the hydrological status in conjunction with air-pollution interaction. In this study, a new cost - effective technique based on the geo-ecological Information-Modeling System (GIMS) is implemented employing the combined use of simulation experiments and in field observations to investigate the problem of optimizing water quality monitoring. The GIMS, is accompanied by 39 elements selected in 8 management Systems and 31 functional elements, which are described in detail. It is shown that the combined use of model and field observations allows reliable recording of water quality and optimization of the monitoring regime. Finally, simulation experiments in a lagoon are presented, demonstrating the fidelity of the proposed modelling System to optimize water quality control through regular in field measurements and simulations.
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An adaptive Information-Modeling System (AIMS) for monitoring aquatic ecoSystems
2017 Progress In Electromagnetics Research Symposium - Spring (PIERS), 2017Co-Authors: F. A. Mkrtchyan, V. F. KrapivinAbstract:Results of the investigations are stated in connection with the assessment of capabilities to use the sensors of optical and microwave ranges for the diagnostics aquatic ecoSystems having various spatial scales. Structure of adaptive Information-Modeling System (AIMS) AIMS consists the sensors of optical and microwave ranges and it realizes functions for the diagnostics and adaptive identification of the liquids. The System is based on the base formation of spectral standards for the liquid solutions delivered by means of multi-channel spectrophotometer or spectroellipsometer and used for adaptive recognition of spectral images. Education process and following recognition are realized in accordance with the certain series of the methods, algorithms and procedures for accumulation, analysis, sorting and processing observation data. Assembly of all tools forms the Information-Modeling System oriented on the operative diagnostics of the state of the water objects when multi-channel Information is delivered by the on-site and remote sensors and high-performance Information technologies are used for the solution of the tasks related to the classification and identification of the water objects.
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GIMS – technology in the water quality monitoring.
2016Co-Authors: F. A. Mkrtchyan, V. F. KrapivinAbstract:Results of the investigations are stated in connection with the assessment of capabilities to use the sensors of optical and microwave ranges for the diagnostics of hydrophysical and hydrochemical Systems having various spatial scales. Structure of multi-functional Information-Modeling System (MFIMS) MFIMS consists the sensors of optical and microwave ranges and it realizes functions for the diagnostics and adaptive identification of the liquids. The System is based on the base formation of spectral standards for the liquid solutions delivered by means of multi-channel spectrophotometer or spectroellipsometer and used for adaptive recognition of spectral images. Education process and following recognition are realized in accordance with the certain series of the methods, algorithms and procedures for accumulation, analysis, sorting and processing observation data. Assembly of all tools forms the Information-Modeling System oriented on the operative diagnostics of the state of the water objects when multi-channel Information is delivered by the on-site and remote sensors and high-performance Information technologies are used for the solution of the tasks related to the classification and identification of the water objects. A solution of operative multi-pronged task of the water quality control and state of hydrochemical Systems when their spatial heterogeneity is taken into consideration and series of physical, chemical and biological factors exist to be as influencing on them is realized by means of the collection of computer algorithms and models that are the hydrochemical monitoring System. This collection gives a possibility to parameterize typical water balance on restricted territory that reflects an interaction between hydrological cycle components. Under this, the System has adaptation function to the real hydrophysical object or process. The MFIMS can used under the water media or other liquids quality control under the expedition conditions when chemical laboratory no exist.
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About microwave radiometry and spectroellipsometric technologies for monitoring marine ecoSystems
2016Co-Authors: F. A. Mkrtchyan, V. F. KrapivinAbstract:Results of the investigations are stated in connection with the assessment of capabilities to use the sensors of optical and microwave ranges for the diagnostics of hydrophysical and hydrochemical Systems having various spatial scales. Structure of multi-functional Information-Modeling System (MFIMS) MFIMS consists the sensors of optical and microwave ranges and it realizes functions for the diagnostics and adaptive identification of the liquids. The System is based on the base formation of spectral standards for the liquid solutions delivered by means of multi-channel spectrophotometer or spectroellipsometer and used for adaptive recognition of spectral images. Education process and following recognition are realized in accordance with the certain series of the methods, algorithms and procedures for accumulation, analysis, sorting and processing observation data. Assembly of all tools forms the Information-Modeling System oriented on the operative diagnostics of the state of the water objects when multi-channel Information is delivered by the on-site and remote sensors and high-performance Information technologies are used for the solution of the tasks related to the classification and identification of the water objects. A solution of operative multi-pronged task of the water quality control and state of hydrochemical Systems when their spatial heterogeneity is taken into consideration and series of physical, chemical and biological factors exist to be as influencing on them is realized by means of the collection of computer algorithms and models that are the hydrochemical monitoring System. This collection gives a possibility to parameterize typical water balance on restricted territory that reflects an interaction between hydrological cycle components. Under this, the System has adaptation function to the real hydrophysical object or process. The MFIMS can used under the water media or other liquids quality control under the expedition conditions when chemical laboratory no exist.