scholarly journals System analysis of a polluted dynamic system of natural waters taking into account risks

2021 ◽  
Vol 258 ◽  
pp. 08013
Author(s):  
Alexey Vertinsky
Keyword(s):  
Natural Waters ◽  
System Analysis ◽  
Water System ◽  
Water Protection ◽  
Protection Zones ◽  
Control Factors ◽  
Basic Functions ◽  
Pollution Factor ◽  
Weight Coefficients

The purpose of the study. A systematic study of the urgent problem of pollution of the natural water system and the evolution of water protection zones (boundaries), taking into account their dynamism and risks. A systematic approach is important not only because of the complex consideration of problems, but also to ensure the task of making systemic environmental decisions. Methods. The article uses the methods of systems analysis, statistical analysis, modeling, decision-making, optimization, classification (taxonomy) and risk management systems. Results. A system analysis has been carried out, on the basis of which procedures (algorithms) for modeling the system, algorithmic evaluation of the effectiveness of monitoring of water protection zones, dynamic water systems have been developed. The identification of the linear form from the nonlinear basic functions of the contribution of each pollution factor is used, taking into account the weight coefficients. An approach to the classification of water protection zones according to “tension” (taxonomic analysis) is also proposed. Conclusion. The performed system analysis takes into account the behavior of key (control) factors. This is necessary for the study of all subsystems - organizational and legal, socio-economic, environmental, technological, methodological support (education, consulting, training), etc. The results of the analysis and algorithms will make it possible to evaluate the parameters of water protection works, to solve various practical problems (for example, identification of the contribution to total pollution of each pollutant).

Methods and means of forming water protection zones of water bodies in the present conditions

2018 ◽  
Vol 2 (4) ◽  
pp. 84-95
Author(s):  
V.V. Polyakov ◽  
◽  
P.V. Polyakov ◽  
T.E. Aleksandrova ◽  
◽  
...  
Keyword(s):  
Water Bodies ◽  
Water Protection ◽  
Protection Zones

An Application and Research of Gray-Relation for Color Classification in Dyeing Textile

2013 ◽  
Vol 694-697 ◽  
pp. 2881-2885
Author(s):  
Hai Yan Wang ◽  
Jian Xin Zhang
Keyword(s):  
System Analysis ◽  
High Efficiency ◽  
Information Management System ◽  
Space Distribution ◽  
Color Classification ◽  
Uniform Sampling ◽  
Forecast Precision ◽  
Internal Instability ◽  
The Stability

Dyeing textile’s information management system is the basis of accurate classification of color， machine studying methods have became a popular area of research for application in color classification. Traditional classification methods have high efficiency and are very simple ， but they are dependent on the distribution of sample spaces. If the sample data properties are not independent， forecast precision will been affected badly and internal instability will appear. An application of Gray-Relation for dyeing textile color classification has been designed， which offsets the discount in mathematical statistics method for system analysis. It is applicable regardless of variant in sample size， while quantizing structure is in agreement with qualitative analysis. On the basis of theoretical analysis， Dyeing textile color classification was conducted in the conditions of random sampling、 uniform sampling and stratified sampling. The experimental results proofs that by using Gray-Relation， dyeing textile color classification does not need to be dependent on sample space distribution， and increases the stability of classification.

The Research of Marine Nuclear Power Two Loop Simulation Software Based on the Thermal System Analysis

2014 ◽  
Vol 983 ◽  
pp. 288-291
Author(s):  
Guo Lei Zhang ◽  
Xiang Dong Jin ◽  
Zhan Zhao ◽  
Zhi Jun Shi
Keyword(s):  
Nuclear Power ◽  
System Analysis ◽  
Simulation Analysis ◽  
Simulation Software ◽  
Operating Conditions ◽  
Two Phase ◽  
Design Data ◽  
Software Optimization ◽  
Power Simulation ◽  
Basic Functions

To study of Nuclear power simulation software's basic functions and mathematical model based on thermal analysis. Describes the two-phase flow model of GSE software superiority, as well as the software optimization program .Use of software tools for normal operating conditions of the simulation calculation and analysis of the results. Comparison with design data shows that,the software use in marine nuclear power two loop system simulation analysis field, the accuracy of it is higher.

scholarly journals A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on solar system bodies

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Carlo Donadio ◽  
Massimo Brescia ◽  
Alessia Riccardo ◽  
Giuseppe Angora ◽  
Michele Delli Veneri ◽  
...  
Keyword(s):  
Deep Learning ◽  
Morphological Variations ◽  
Control Factors ◽  
Novel Approach ◽  
Drainage Networks ◽  
Key Characteristics ◽  
Intrinsic Complexity ◽  
Solar System Bodies ◽  
Manual Extraction

AbstractSeveral approaches were proposed to describe the geomorphology of drainage networks and the abiotic/biotic factors determining their morphology. There is an intrinsic complexity of the explicit qualification of the morphological variations in response to various types of control factors and the difficulty of expressing the cause-effect links. Traditional methods of drainage network classification are based on the manual extraction of key characteristics, then applied as pattern recognition schemes. These approaches, however, have low predictive and uniform ability. We present a different approach, based on the data-driven supervised learning by images, extended also to extraterrestrial cases. With deep learning models, the extraction and classification phase is integrated within a more objective, analytical, and automatic framework. Despite the initial difficulties, due to the small number of training images available, and the similarity between the different shapes of the drainage samples, we obtained successful results, concluding that deep learning is a valid way for data exploration in geomorphology and related fields.

Ensuring Safety of Industrial Cargo by Rail Transportation at the Mining Enterprises

2021 ◽  
pp. 56-62
Author(s):  
V.V. Kupriyanov ◽  
◽  
I.S. Bondarenko ◽  
Keyword(s):  
Information Filtering ◽  
Mining Industry ◽  
Organizational Factors ◽  
Rail Transportation ◽  
Railway Transport ◽  
Control Factors ◽  
Detailed Assessment ◽  
Personnel Safety

The common problem was studied concerning the personnel safety and the operation of railway transport during industrial cargo transportation. Statistical and technical analysis were conducted related to the conditions and reasons of railway accidents caused by various hazardous factors and occurred over the past 15 years in the mining industry of Russia. The study based on natural, technical, and organizational factors showed that there is a steady tendency towards the preservation of the number of accidents such as train collisions, fires, and derailments. Despite the measures taken, such accidents do occur resulting in fatal accidents. The situation is explained by the fact that safety of rail transport is conditioned by the factors that can be divided into difficult-to-control and complex (coordinated by action). The differences between complex factors caused by the railway technology and difficult-to-control factors, which include natural factors or their combination with the stimulated factors are studied in the article. Study of the evidence including the details of the development of fires and derailments of trains from the rails, the consequences of such accidents and conclusions about their causes shows that the additional calculations and classification of the difficult-to-control factors in combination with other causes allow to give a more detailed assessment of the nature of difficult-to-control factors and the interrelationship between them. Through this it becomes possible to detect the maximum number of violations. It is concluded that improving railway safety is possible only with a differentiated approach to the role of each group of factors including difficult-to-control factors, and the ability of personnel to influence the occurrence and development of accidents. The time characteristics of railway accidents are considered. The idea of automated information filtering of clogged messages in the analysis of accidents is formulated.

scholarly journals Control of Systems of Reservoirs with the Use of Risk Analysis

10.14311/538 ◽  
2004 ◽  
Vol 44 (2) ◽  
Author(s):  
P. Fošumpaur ◽  
L. Satrapa
Keyword(s):  
Risk Analysis ◽  
Flood Control ◽  
Water System ◽  
Water Reservoir ◽  
The Czech Republic ◽  
Run Off ◽  
Hydropower Plants ◽  
Basic Functions ◽  
And Control

A system of reservoirs is usually defined as a system of water management elements, that are mutually linked by inner and outer connections in a purpose-built complex. Combined elements consist of reservoirs, river sections, dams, weirs, hydropower plants, water treatment plants and other hydraulic structures. These elements also include the rainfall system, the run-off system, the ground water system, etc. A system of reservoirs serves many purposes, which result from the basic functions of water reservoirs: storage, flood control and environmental functions. Most reservoirs serve several purposes at the same time. They are so called multi-purposes reservoirs. Optimum design and control of a system of reservoirs depends strongly on identifying the particular purposes. In order to assess these purposes and to evaluate the appropriate set of criteria, risk analysis can be used. Design and control of water reservoir functions is consequently solved with the use of multi-objective optimisation. This paper deals with the use of the risk analysis to determine criteria for controlling the system. This approach is tested on a case study of the Pastviny dam in the Czech Republic.

Storm Water System Analysis Integrating MMS, GIS and Cad Mapping for Decision Support

2004 ◽  
Vol 2004 (11) ◽  
pp. 345-356
Author(s):  
Amanda McInnis ◽  
David Keil ◽  
Michael Kasch ◽  
John Rundquist
Keyword(s):  
Decision Support ◽  
System Analysis ◽  
Water System ◽  
Storm Water

scholarly journals Comparison of Lake Optical Water Types Derived from Sentinel-2 and Sentinel-3

2019 ◽  
Vol 11 (23) ◽  
pp. 2883 ◽  
Author(s):  
Soomets ◽  
Uudeberg ◽  
Jakovels ◽  
Zagars ◽  
Reinart ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Lake Water ◽  
Natural Waters ◽  
Critical Role ◽  
Inland Waters ◽  
Water Types ◽  
Lake Võrtsjärv ◽  
Level 2 ◽  
Sentinel 2

Inland waters play a critical role in our drinking water supply. Additionally, they areimportant providers of food and recreation possibilities. Inland waters are known to be opticallycomplex and more diverse than marine or ocean waters. The optical properties of natural waters areinfluenced by three different and independent sources: phytoplankton, suspended matter, andcolored dissolved organic matter. Thus, the remote sensing of these waters is more challenging.Different types of waters need different approaches to obtain correct water quality products;therefore, the first step in remote sensing of lakes should be the classification of the water types. Theclassification of optical water types (OWTs) is based on the differences in the reflectance spectra ofthe lake water. This classification groups lake and coastal waters into five optical classes: Clear,Moderate, Turbid, Very Turbid, and Brown. We studied the OWTs in three different Latvian lakes:Burtnieks, Lubans, and Razna, and in a large Estonian lake, Lake Võrtsjärv. The primary goal of thisstudy was a comparison of two different Copernicus optical instrument data for opticalclassification in lakes: Ocean and Land Color Instrument (OLCI) on Sentinel-3 and MultispectralInstrument (MSI) on Sentinel-2. We found that both satellite OWT classifications in lakes werecomparable (R2 = 0.74). We were also able to study the spatial and temporal changes in the OWTs ofthe study lakes during 2017. The comparison between two satellites was carried out to understandif the classification of the OWTs with both satellites is compatible. Our results could give us not onlya better overview of the changes in the lake water by studying the temporal and spatial variabilityof the OWTs, but also possibly better retrieval of Level 2 satellite products when using OWT guidedapproach.

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