scholarly journals Monitoring System of the Institute of Geophysical Research of the Ministry of Energy of the Republic of Kazakhstan

2019 ◽  
Vol 53 (I) ◽  
pp. 27-38 ◽  
Author(s):  
Natalya N. Mikhailova ◽  
Inna N. Sokolova

Natalya N. Mikhailova and Inna N. Sokolova report on the Kazakhstan Monitoring System of the Institute of Geophysical Research of the Ministry of Energy for the Summary of the Bulletin of the International Seismological Centre.

2019 ◽  
Vol 59 (2) ◽  
pp. 182-191 ◽  
Author(s):  
Pavel V. Yemelin ◽  
Sergey S. Kudryavtsev ◽  
Natalya K. Yemelina

The purpose of the article is to present an analytical system that allows users to proces data necessary for an industrial risk analysis and management, to monitor the level of industrial safety in a given site, and to fulfil essential tasks within the field of occupational safety. This system’s implementation will make the industrial safety management at industrial sites more effective. Multifactorial, probabilistic, determined models of accidents’ hazard and severity indexes are integrated into the computing core of the Information and Analytical System. Then, statistical methods determine the risk assessment of occupational injuries and diseases. The <em>Information and Analytical System for Hazard Level Assessment and Forecasting Risk of Emergencies in the Republic of Kazakhstan</em> allows users to work efficiently with large volumes of information and form a united analytical electronic report about the state of industrial safety. The main objective of the monitoring system is to conduct a comprehensive analysis and assessment of the state of accidents, traumas and occupational sickness rates at industrial sites, the results being classified by the degree of hazard and insalubrity of manufacture. The introduction of the computer monitoring system in the specialized services of the Emergency Management Committee and the Ministry of Investment and Development of the Republic of Kazakhstan, and at industrial enterprises throughout the country, will allow users to analyse the state of the industrial and occupational safety constantly and objectively; as a consequence, the implementation will go a long way towards comprehensively approaching the task of increasing safety levels at industrial sites.


Author(s):  
N. Neverova ◽  
N. Mikhailova ◽  
Inna Sokolova

In 2013, seismic monitoring in Kazakhstan was conducted by two organizations: the Seismological Experience-Methodical expedition of the Ministry of Education and Science of the Republic of Kazakhstan (SEME), and the Institute of Geophysical Research of the Ministry of Energy of the Republic of Kazakhstan (IGR). The station network consists of three-component stations and seismic arrays. The work presents detailed information on seismic observation networks. The catalogue of seismic events of Kazakhstan is made by da-ta of above mentioned Organizations. It includes 1036 earthquakes with energy class КР=6.6–14.7. The catalog contains several additional sheets with Attachments: Microseismic data on felt earthquakes, parameters of focal mechanisms of 55 earthquakes, information on coordinates of 29 urban areas with felt shakes, parameters of 1123 aftershocks, and two forshocks of Saryzhas (Narynkol) earthquake in the range of energy classes КР=4.5–11.8. Two maps of earthquake epicenters are shown in the paper: for the whole Kazakhstan territory with КР≥8.6 and for Northern Tien Shan territory with КР≥6.6. The largest earthquake of the year was the Saryzhas earthquake that occurred in Northern Tien Shan on January 28, MS=6.0, КР=14.7. The earthquake was felt on the territory of Kazakhstan and China and was followed by numerous aftershocks. For the first day, only its number exceeded 500. It was noted that the total released seismic energy in 2013 exceeded significantly the same parameter of 2012.


2021 ◽  
Author(s):  
Nataliia Lyuta ◽  
Iryna Sanina ◽  
Olga Biarozka ◽  
Olga Vasniova ◽  
Andreas Scheidleder ◽  
...  

&lt;p&gt;The EU-funded program European Water Initiative Plus for Eastern Partnership Countries (EUWI+), which is the biggest commitment of the EU to the water sector in the EaP countries, helps Armenia, Azerbaijan, Belarus, Georgia, Moldova, and Ukraine to bring their legislation closer to EU policy in the field of water management, with a main focus on the management of transboundary river basins. It supports the development and implementation of pilot river basin management plans, building on the improved policy framework and ensuring a strong participation of local stakeholders.&lt;/p&gt;&lt;p&gt;In 2019, with the support of EUWI+, groundwater experts from Ukraine and the Republic of Belarus identified transboundary groundwater bodies (GWBs) in the Dnipro River Basin of Ukraine and the Republic of Belarus. In total eight (3 unconfined and 5 confined) transboundary GWBs in Ukraine were identified as transboundary linked with six GWBs in Belarus. As some of these GWBs are significantly large, follow-up studies in 2020 aimed at identifying those sub parts of the GWBs which are subject to transboundary groundwater interaction. Finally, on both sides of the border, transboundary corridors at a distance of 50 km from the state border were identified as sub-zones of the existing large GWBs. This distance was chosen to capture the recharge areas of the zone of active water exchange (watersheds) and the areas of groundwater discharge (river valleys).&lt;/p&gt;&lt;p&gt;The investigated transboundary territory is located in Polissia, a zone of excessive moisture, where the GWBs are mainly recharged by precipitation - the unconfined GWBs all over the whole territory, the confined GWBs at places where shallow water-bearing rocks occur. In the transboundary zone, the regional recharge area is located in the Ukrainian Shield; most of the aquifers are recharged on its slopes. The direction of groundwater flow is from the Ukrainian Shield towards the artesian basins in Belarus.&amp;#160;&lt;/p&gt;&lt;p&gt;The Ukrainian part of the territory, where the confined aquifers are recharged, is characterised by minor anthropogenic pressures - very low population density and no large industrial enterprises. Therefore, impacts from the Ukrainian side on the GWBs in Belarus are limited. In contrast, the border area in the Republic of Belarus is one of its most developed industrial regions.&lt;/p&gt;&lt;p&gt;The analysis showed that the groundwater monitoring network in the Ukrainian 50-km transboundary zone has practically been destroyed due to long-term underfunding and it requires substantial restoration. In Belarus, the monitoring network is quite representative and requires some improvements; in some GWBs &amp;#160;the monitoring network is unevenly distributed and in some GWBs, the number of monitoring wells is insufficient&lt;/p&gt;&lt;p&gt;Within this study a comprehensive set of analytical material on geological-hydrogeological, hydrogeochemical, hydrodynamic aspects of the study area was collected, a number of open issues were identified, which will substantially contribute to the development and harmonization of not only the groundwater monitoring system of the transboundary territory of the Pripyat and Dnieper river basins in Ukraine and the Republic of Belarus, but also the groundwater monitoring system of the countries as a whole.&lt;/p&gt;


Author(s):  
Z. Vyzhva ◽  
V. Demidov ◽  
A. Vyzhva

Due to the increasing number of natural and technogenic disasters the development of geological environment monitoring system is actual one using modern mathematical tools and information technology. The local monitoring of potentially dangerous objects is an important part of the overall environment monitoring system. The complex geophysical research was conducted on Rivne NPP area. The monitoring observations radioisotope study of soil density and humidity near the perimeter of buildings is of the greatest interest among these. In this case a problem occurred to supplement simulated data that were received at the control of chalky strata density changes at the research industrial area with use of radioisotope methods on a grid that included 29 wells. This problem was solved in this work by statistical simulation method that provides the ability to display values (the random field of a research object on a plane) in any point of the monitoring area. The chalk strata averaged density at the industrial area was simulated using the built model and the involvement optimal in the mean square sense Whittle-Matern type correlation function. In this paper the method is used and the model and procedure were developed with enough adequate data for Whittle-Matern type correlation function. The model and algorithm were developed and examples of karst-suffusion phenomena statistical simulation were given in the problem of density chalk strata monitoring at the Rivne NPP area. The statistical model of averaged density chalk strata distribution was built in the plane and statistical simulation algorithm was developed using Whittle-Matern type correlation function on the basis of spectral decomposition. The research subject realizations were obtained with required detail and regularity at the observation grid based on the developed software. Statistical analysis of the numerical simulation results was done and tested for its adequacy.


Auditor ◽  
2015 ◽  
Vol 1 (9) ◽  
pp. 28-32
Author(s):  
Ахмеджанов ◽  
K. Akhmedzhanov

Th e article describes the monitoring system of audit quality of the Republic of Uzbekistan, as well as the main techniques used for checking and improving the quality of internal audit.


Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2693 ◽  
Author(s):  
Jun-Ho Huh

In the Republic of Korea, one of the most widely discussed subjects related to future logistics technology is the drone-based delivery (transportation) system. Much (around 75%) of Korea’s territory consists of mountainous areas; however, the costs of installing internet facilities for drone landing sites are very high compared to other countries. Therefore, this paper proposes the power-line communication (PLC) system introduced in the author’s previous study as an alternative solution. For the system design, a number of lightning rods are used together with a monitoring system. The system algorithm performs substantial data analysis. Also, as the author found that instantaneous high-voltage currents were a major cause of fire incidents, a three-phase three-wire connection was used for the installation of the lightning rods (Bipolar Conventional Air Terminal). Thus, based on the PLC technology, an artificial intelligence (AI) which avoids lightning strikes at the drone landing site by interworking with a closed-circuit television (CCTV) monitoring system when a drone flies over the mountain regions is proposed in this paper. The algorithm was implemented with C++ and Unity/C#, whereas the application for the part concerning the integrated sensing was developed with Java Android.


2020 ◽  
Vol 2 (3) ◽  
pp. 96-103
Author(s):  
Oleg Trofimov ◽  
Andrey V. Rubezhov ◽  
Maria Kraft ◽  
Andrey V. Udaltsov

The existing system of instrumental monitoring of the state of atmospheric air in the Republic of Tatarstan systematically reveals the facts of unsatisfactory quality of atmospheric air, in this connection, special attention has been paid to the work on regulating the impact of emissions on atmospheric air by means of calculated monitoring. The article notes that by now all the necessary legal framework has been created for creating a hybrid multi-level atmospheric air monitoring system in the Republic of Tatarstan. The paper provides a justification for the need to implement a hybrid multi-level atmospheric air monitoring system for three levels: the level "Enterprise" or "group of enterprises", the level" Municipality", the level"Subject of the Russian Federation the Republic of Tatarstan". The General scheme of the organization of environmental data collection in the Republic of Tatarstan and the scheme of the integrated architecture of the environmental data collection system are presented. The results of the implementation of a hybrid multi-level atmospheric air monitoring system in the environmental policy of the Republic of Tatarstan are presented


2020 ◽  
Vol 4 (4) ◽  
pp. 406-415
Author(s):  
Сергей Леонидович Кравцов ◽  
Дмитрий Викторович Голубцов ◽  
Карина Александровна Романович ◽  
Илья Леонидович Савко

Purpose. Improving of a forecast monitoring system of the fire hazard territory. Methods. To obtain a qualitatively new result the approach of Big Data including static (relatively slowly changing in time) data, ground information from meteorological stations and satellite data over a long period of time is applied. Findings. A forecast monitoring system of factors characterizing the fire hazard of the territory is developed. The system includes remote access service (providing data to users), database of forecast monitoring statistics, data processing and analysis subsystems. The structure of the system is relatively universal with the ability to complete and change both the functions themselves and the tasks to be solved. This allows considering the system as a preliminary stage of introducing modern approaches to fire hazard forecasting on the territory in the Republic of Belarus. The creation of the system is the beginning of a new forecast stage in the development of mechanisms of response to natural fires in the Republic of Belarus. Application field of research. The results of a forecast monitoring system of factors characterizing the fire hazard of the territory may be used in daily activities of the departments of the Ministry of Emergency Situations of the Republic of Belarus and the Ministry of Forestry of the Republic of Belarus to reduce damage due to natural fires.


2019 ◽  
Vol 6 (2) ◽  
pp. 201
Author(s):  
Ardian Prima Atmaja ◽  
Fredy Susanto

<p>Dalam sebuah satuan kerja atau institusi pemerintah di Negara Republik Indonesia, terdapat barang-barang yang dibeli atau diperoleh atas beban APBN yang kemudian dapat diidentifikasikan sebagai bagian dari Barang Milik Negara (BMN). BMN tersebut dicatat dalam sebuah aplikasi bernama Sistem Informasi Manajemen dan Akuntansi Barang Milik Negara (SIMAK-BMN). Untuk melakukan monitoring BMN yang telah tercatat di aplikasi tersebut, Kuasa Pengguna Anggaran (KPA) dan tim monitoring seringkali menemui beberapa kesulitan. Hal ini diakibatkan dari keterbatasan aplikasi SIMAK-BMN yang belum sepenuhnya mudah dioperasikan untuk keperluan monitoring. Dengan kondisi seperti itu maka pada makalah ini dibahas pengembangan sistem informasi monitoring BMN terpadu dengan melakukan optimasi terhadap <em>database</em> SIMAK-BMN. Sistem yang dibangun dapat dijalankan oleh tim <em>monitoring</em> BMN secara <em>online</em> menggunakan internet. Selain itu, dikembangkan pula sistem monitoring BMN secara <em>mobile</em> yang dapat diinstall pada perangkat <em>smartphone</em> berbasis Android. Sehingga, dalam pengelolaaanya, petugas tim pencatat dan penginventaris BMN dapat menggunakan <em>smartphone</em> mereka untuk membantu memudahkan pekerjaaan inventarisasi dengan melakukan scanning QR Code dari tiap-tiap BMN. Dengan adanya sistem monitoring BMN yang merupakan optimasi dari <em>database</em> SIMAK-BMN tersebut, diharapkan dapat mempermudah fungsi monitoring BMN dan menjadi kontribusi dalam pengembangan sistem monitoring internal suatu satuan kerja di Republik Indonesia serta mendukung kebijakan-kebijakan pengelolaan BMN.</p><p> </p><p><em><strong>Abstract</strong></em></p><p class="Abstract"><em>In a unit or institution in the government of State of the Republic of Indonesia, there are goods obtained at the expense of the APBN which can be identified as the State Goods (BMN). BMN is recorded in an application called the Management Information System and Accounting for State Goods (SIMAK-BMN). To monitor the BMNs that have been recorded in that application, the Budget User Authority (KPA) and the monitoring team often encounter some difficulties. This is due to the limitations of the SIMAK-BMN application which has not been fully operational for monitoring purposes. With such conditions, this study discusses about the development of integrated BMN monitoring information system by optimizing the SIMAK-BMN database. The built system can be run by the BMN monitoring team using the internet. Moreover, also developed a mobile BMN monitoring system that can be installed on Android-based smartphone devices. Thus, in it’s management, BMN registration team can use their smartphone to scanning QR Code from each item of BMN. With the BMN monitoring system which is the optimization of the SIMAK-BMN database, it is expected to facilitate the BMN monitoring function and become a contribution in developing the internal monitoring system of a work unit in the government of Republic of Indonesia as well as supporting the policies of BMN management.</em></p>


Author(s):  
T. Ulubieva ◽  
R. Mikhailova ◽  
L. Risling ◽  
R. Juraev

The seismic monitoring system consisting of seven digital stations continued to operate in Tajikistan in 2015. This network has registered 9071 earthquakes with KR=8.6–17.0, 6427 of which were Pamir-Hindu Kush earthquakes with intermediate depths (h=70–300 km), and 2644 were shallow events. The total seismic energy released was E=1.8151017 J. The strongest for 2015 was the Hindu Kush earthquake on Octo-ber 26 with Mw=7.5, h=230 km (hpP=217 km) that occurred near the southern borders of the Republic. This earthquake caused significant damage and the death of at least 115 people. It was felt on the territory of 14 states, with a total shaking area of more than 14106 km2. A detailed isoseismal map of this earthquake is given for the Tajikistan territory only. The earthquake was accompanied by a series of over 1400 aftershocks with KR=8.6–12.8, unexpectedly numerous for a deep earthquake. Within the borders of the Republic, the Sarez-II earthquake occurred near the Lake of Sarez on December 7 with Mw=7.2, h=20 km, I0=8, was the strongest one. Undoubtedly, it was triggered by the Hindu Kush earthquake on October 26. In total, more than 500 houses were damaged, dozens of people were injured, and there were human casualties. A detailed isoseismal map of this earthquake was made for four levels of intensity – I=7, 6, 5 and 4. The number of its aftershocks for 24 days only was 1342, with KR=8.6–13.9. As a result the level of seismicity in Tajikistan in 2015, both in terms of the number of earthquakes and the level of released seismic energy, was the highest during the period of instrumental observations.


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