DOCSLIB.ORG

Organization of Operation, Repair and Maintenance of Locomotives in the Railroad Operating Domain

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Organization of Operation, Repair and Maintenance of Locomotives in the Railroad Operating Domain E3S Web of Conferences 135, 02008 (2019) https://doi.org/10.1051/e3sconf/201913502008 ITESE-2019 Organization of operation, repair and maintenance of locomotives in the railroad operating domain Aleksander Pavlyukov1, Alexander Buynosov1,*, Aleksander Mironov1, and Sergey Laptev1 1 Ural State University of Railway Transport, 66 Kolmogorova st., 620034, Ekaterinburg, Russia Abstract. The methods that are widely used today to determine the required locomotive fleet, the corresponding maintenance and repair system consider the locomotive as a whole, without taking into account the technical condition of its individual units, which have a limited life cycle. Furthermore, the methods used today do not take into account the time spent on relocation from an operational locomotive depot to a service depot and back. The purpose of this study is to develop the methods for determining the number of locomotives based on the anticipated workloads for specific operational sections, the necessary accompanying maintenance and repair, the optimized repair cycle structure with due account of the available resources of the limiting units in the railroad operating domain which are capable of taking into account the technical condition of equipment (failures, repair costs, and time spent on relocation from one depot to another). A model for organization of repair of gas turbine locomotives assigned to operational locomotive depots while undergoing repair in service locomotive depots is proposed. Using this model, it is possible to develop a software product for distributing routine locomotive repairs among service providers, thus optimizing the workload of the latter. 1 Introduction Development of the Far North regions is an important economic problem for the Russian Federation. Creation of the Northern Latitudinal Railway railroad operating domain will solve the following important problems: 1) provide access to Dudinka and Igarka ports to gain access to the Northern Sea Route connecting the Urals with European Russia and the Far East; 2) develop Russkoye and Zapolyarnoye oil and gas fields and the corresponding infrastructure; 3) create a stable transport connection with the city of Norilsk; 4) create an alternative railroad connection from the Yamalo-Nenets Autonomous District to the North- Western Region, as well as provide transportation support, infrastructure development, and operation of oil and gas fields of the Yamalo-Nenets Autonomous District and the Lower Angara Region; 5) link the Northern and Sverdlovsk railroads; 6) reduce the load on the Trans-Siberian Railway; 7) connect the Yamal peninsula with the country’s transportation infrastructure. * Corresponding author: [email protected] © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/). E3S Web of Conferences 135, 02008 (2019) https://doi.org/10.1051/e3sconf/201913502008 ITESE-2019 Within the framework of the “Strategy for Developing Rail Transport in the Russian Federation up to 2030” approved by the Government of the Russian Federation, the Northern Latitudinal Railway, railroad lines in the sections Obskaya–Salekhard (54 km long), Salekhard—Nadym (355 km), Nadym—Pangody (111 km) will be built. Provisions are made for reconstruction of the sections Pangody—Noviy Urengoy (113 km long), Noviy Urengoy—Korotchaevo (74 km), with a further planned extension of Korotchaevo— Russkoye (Yuzhno-Russkoye oil and gas field, 122 km long), Russkoye—Igarka (482 km), Igarka—Norilsk (285 km). Since the railroad lines of the Northern Latitudinal Railway will not be electrified, a promising rolling stock includes locomotives with a gas turbine engine (LGTE) running on liquefied natural gas (LNG), i.e. mainline gas turbine locomotives GT1h, which showed good performance results during experimental operation on the Sverdlovsk railway. The Russian railroad network has many converter stations for electric and diesel traction. Since a diesel locomotive is much less powerful than an electric locomotive, the trains at such stations need to be broken up and hauled in parts. To move away from this, starting 2005, RZD OJSC launched a complex of research and development works to create a locomotive with a gas turbine engine (LGTE) operating on liquefied natural gas (LNG). The LGTE is more powerful compared to both the electric or diesel locomotives, it is more cost-effective and environmentally friendly, and the LGTE can haul a train weighing more than 6,000 tons and deliver it to the destination without reconfiguration. In 2007, GT1h- 001, a novel mainline gas turbine locomotive based on VL15 electric locomotive, was built, and in 2013, a second gas turbine locomotive (GT1h-002) based on TEM7A diesel locomotive was manufactured [1, 2]. In February 2017, GT1h-002 was consigned to RZD OJSC to the Sverdlovsk railway for operation. Currently, the gas turbine locomotive (GTL) is serviced by STM-Service LLC in Artyomovsky service locomotive depot (SLD); the GTL is operated by crews of Egorshino operational locomotive depot. Because of its more complex structure (compared to a diesel locomotive), the problem of organizing operation, maintenance and repair for a modern GTL in the railroad operating domain Korotchaevo—Voynovka of the Sverdlovsk railway has arisen. This section is not electrified, it is included in the centralized traffic control. Section length is 1,331 km, there are way stations and junctions along the train line. However, there are no methods that take into account the required number of locomotives based on the anticipated workloads for specific operational sections, the necessary accompanying maintenance and repair, the optimized repair cycle structure with due account of the available resources of the limiting units in the railroad operating domain which are capable of taking into account the technical condition of equipment (failures, repair costs, and time spent on relocation from one depot to another), or such methods are not perfect [1–5]. 2 Research Methods To organize the repair and maintenance of gas turbine locomotives in a railroad operating domain, it is necessary to calculate their required number, and the corresponding repair and maintenance rates. Service speed is determined by the given service speed coefficient: Vs 8.0 VТ (1) where 0.8 is the service speed coefficient. Full turnover of locomotive: 2 E3S Web of Conferences 135, 02008 (2019) https://doi.org/10.1051/e3sconf/201913502008 ITESE-2019 2L (2) Т l tm tto Vs where L is the length of the operational section, km; tm is downtime for technical inspection for one turnover cycle, hr; tto is locomotive downtime in turnover point, hr. Locomotive requirement ratio: T K l (3) r 24 where Tl is locomotive turnover in the operational section, locomotive-km. The requirement ratio shows the number of locomotives required to serve one pair of trains per day. Then the operated park of locomotives in the section will be: No Kr n (4) where n is the number of train pairs. Based to the calculated number of locomotives in the section park, let us determine the repair program and the required operational resources. Daily mileage is determined using the following equation: Sd 2 L n (5) where L is section length, km; n is the number of train pairs per day. Annual and monthly locomotive mileage: Syear Sd 365 (6) (7) Average daily mileage for one locomotive is determined using the following equation: n (8) S av.d 2 L N o where No is the operated park of GTL; L is section length, km; n is the number of train pairs. The number of repair bays is determined by the annual program for locomotive repair in a service depot, their downtime in repair or maintenance, and the bay’s production time. For repairs that take days (RR-2 (routine repair), RR-3, BR (basic repair), MR (major repair)), we use the following equation [6]: N t C riri (9) ri D where Nri is the annual program for this type or repair; tri is repair downtime, days; D is the number of working days per year, D = 247 days. For repairs and inspections that take hours (M-2 (maintenance), M-3, RR-1), the number of repair sites is determined using the following equation: Nri trdi (10) Cri D ТС sh 3 E3S Web of Conferences 135, 02008 (2019) https://doi.org/10.1051/e3sconf/201913502008 ITESE-2019 where Tsh is the average duration of a shift; trdi is repair duration, hr; С is the number of shifts per day; µ is the coefficient accounting for nonuniformity of gas turbine locomotives arrival and docking for repairs M-2, M-3, RR-1, µ = 1.1. Generally, the number of bay sites (bays) for inspection and repair of equipment during routine repair of locomotives depends on many factors (repair downtime, shift duration, the bay’s production time, uniformity of docking for repair), and is determined using the following equation [7]: N t rr (11) Cr , K F tsh nsh where Nr is the number of routine repairs; tr is the standard downtime for locomotive repair, hr; K is the converting factor for the number of locomotive sections; F is the bay’s production time, days; tsh is the duration of a shift, hr; nsh is the number of shifts; is the coefficient accounting for nonuniform docking, = 1.1–1.2 [8]. The sequence of equipment failures in the course of locomotive operation can be presented in the form of the following model [9, 10]. Monitoring of the new (repaired) equipment starts at time l = 0 (Fig. 1). Fig. 1. Model of the repair process. After operating for a certain time (running time) 1 a failure occurs, then, equipment is repaired or replaced with new equipment within a time period much shorter than running time to failure li. After running time 2 the equipment fails, it is repaired again or replaced with the similar functioning equipment.
Load more

Recommended publications
  • Yamalia English Language Teachers’ Association
    Yamalia English Language Teachers’ Association YAMALIA – THE BACK OF BEYOND A Series of English Lessons in Yamalia Studies Edited by Eugene Kolyadin Yelena Gorshkova Oxana Sokolenko Irina Kolyadina Based on teaching materials created by Alevtina Andreyeva (Salemal), Svetlana Bochkaryova (Salekhard), Natalia Bordzilovskaya (Noyabrsk), Natalia Derevyanko (Noyabrsk), Yelena Gorshkova (Gubkinsky), Olga Grinkevich (Muravlenko), Tamara Khokhlova (Noyabrsk), Anzhelika Khokhlyutina (Muravlenko), Irina Kolyadina (Gubkinsky), Yulia Rudakova (Nadym), Irina Rusina (Noyabrsk), Diana Saitova (Nadym), Yulia Sibulatova (Nadym), Natalia Soip (Nadym), Yelena Ten (Nadymsky district), Natalya Togo (Nyda), Olga Yelizarova (Noyabrsk), Alfiya Yusupova (Muravlenko), Irina Zinkovskaya (Nadym) Phonetic and Listening Comprehension tapescripts sounded by Svetlana Filippova, Associate Professor, Nizhny Novgorod Dobrolyubov State Linguistics University Gubkinsky Yamalo-Nenets Autonomous Okrug 2015 2 Yamalia English Language Teachers’ Association Yamalia – the Back of Beyond. A Series of English Lessons in Yamalia Studies: Сборник учебно-методических материалов для проведения учебных занятий по регионоведению Ямало-Ненецкого автономного округа на английском языке в 8 – 11 классах средних общеобразовательных организаций / Под ред. Е.А. Колядина, Е.А. Горшковой, И.А. Колядиной, О.Б. Соколенко. – Губкинский, 2015. – 82 c. – На англ. яз. Yamalia – the Back of Beyond 3 FOREWORD1 The booklet you are holding in your hands now is a fruit of collaboration of tens of Yamalia teachers of English from different parts of the okrug. The main goal of the authors’ team was to summarise the best practices developed by the okrug educators as well as their expertise in teaching regional studies and disseminate that all around Yamalia. We think that it is a brilliant idea to arm our teachers with ready-made though flexible to adaptation lessons to teach students to different aspects of life in our lands in English.
    [Show full text]
  • Warmer Urban Climates for Development of Green
    DOI: 10.15356/2071-9388_04v09_2016_04 Igor Esau1*, Victoria Miles1 1 Nansen Environmental and Remote Sensing Center/Bjerknes Centre for Climate Research, Thormohlensgt. 47, 5006, Bergen, Norway *Corresponding author; e-mail: [email protected] WARMER URBAN CLIMATES ENVIRONMENT FOR DEVELOPMENT OF GREEN SPACES 48 IN NORTHERN SIBERIAN CITIES ABSTRACT. Modern human societies have accumulated considerable power to modify their environment and the earth’s system climate as the whole. The most significant environmental changes are found in the urbanized areas. This study considers coherent changes in vegetation productivity and land surface temperature (LST) around four northern West Siberian cities, namely, Tazovsky, Nadym, Noyabrsk and Megion. These cities are located in tundra, forest-tundra, northern taiga and middle taiga bioclimatic zones correspondingly. Our analysis of 15 years (2000–2014) Moderate Resolution Imaging Spectroradiometer (MODIS) data revealed significantly (1.3 °C to 5.2 °C) warmer seasonally averaged LST within the urbanized territories than those of the surrounding landscapes. The magnitude of the urban LST anomaly corresponds to climates found 300–600 km to the South. In the climate change perspective, this magnitude corresponds to the expected regional warming by the middle or the end of the 21st century. Warmer urban climates, and specifically warmer upper soil layers, can support re-vegetation of the disturbed urban landscapes with more productive trees and tall shrubs. This afforestation is welcome by the migrant city population as it is more consistent with their traditional ecological knowledge. Survival of atypical, southern plant species encourages a number of initiatives and investment to introduce even broader spectrum of temperate blossoming trees and shrubs in urban landscapes.
    [Show full text]
  • A Spatial Study of Geo-Economic Risk Exposure of Russia's Arctic Mono-Towns with Commodity Export-Based Economy
    Journal of Geography and Geology; Vol. 6, No. 1; 2014 ISSN 1916-9779 E-ISSN 1916-9787 Published by Canadian Center of Science and Education A Spatial Study of Geo-Economic Risk Exposure of Russia’s Arctic Mono-Towns with Commodity Export-Based Economy Anatoly Anokhin1, Sergey Kuznetsov2 & Stanislav Lachininskii1 1 Department of Economic & Social Geography, Saint-Petersburg State University, Saint-Petersburg, Russia 2 Institute of Regional Economy of RAS, Russian Academy of Science, Saint-Petersburg, Russia Correspondence: Stanislav Lachininskii, Department of Economic & Social Geography, Saint-Petersburg State University, Saint-Petersburg, Russia. Tel: 7-812-323-4089. E-mail: [email protected] Received: December 30, 2013 Accepted: January 14, 2014 Online Published: January 16, 2014 doi:10.5539/jgg.v6n1p38 URL: http://dx.doi.org/10.5539/jgg.v6n1p38 Abstract In the context of stagnating global economy mono-towns of Arctic Russia are especially exposed to uncertainty in their socio-economic development. Resource orientation of economy that formed in the 20th century entails considerable geo-economical risk exposure both for the towns and their population as well as for Russia's specific regions. In the 1990–2000s Russia’s Arctic regions were exposed to a systemic crisis which stemmed from production decline, out-migration, capital asset obsolescence, depletion of mineral resources and environmental crisis. This spatial study of geo-economic risk exposure of Russia’s Arctic mono-towns with commodity export-based economy was conducted at four dimensions - global, macro-regional, regional and local. The study of the five types of geo-economic risks was based on the existing approach, economic and socio-demographic risks being the most critical for the towns under consideration.
    [Show full text]
  • Trends in Normalized Difference Vegetation Index (NDVI) Associated with Urban Development in Northern West Siberia
    Atmos. Chem. Phys., 16, 9563–9577, 2016 www.atmos-chem-phys.net/16/9563/2016/ doi:10.5194/acp-16-9563-2016 © Author(s) 2016. CC Attribution 3.0 License. Trends in normalized difference vegetation index (NDVI) associated with urban development in northern West Siberia Igor Esau1, Victoria V. Miles1, Richard Davy1, Martin W. Miles2, and Anna Kurchatova3 1Nansen Environmental and Remote Sensing Centre/Bjerknes Centre for Climate Research, Bergen, Norway 2Uni Research Climate/Bjerknes Centre for Climate Research, Bergen, Norway, Institute of Arctic and Alpine Research, University of Colorado, Boulder, Colorado, USA 3Institute of the Earth’s Cryosphere, Tyumen Oil and Gas University, Tyumen, Russia Correspondence to: Igor Esau ([email protected]) Received: 17 January 2016 – Published in Atmos. Chem. Phys. Discuss.: 18 March 2016 Revised: 21 June 2016 – Accepted: 27 June 2016 – Published: 1 August 2016 Abstract. Exploration and exploitation of oil and gas re- with the urban heat islands and succession of more produc- serves of northern West Siberia has promoted rapid indus- tive shrub and tree species growing on warmer sandy soils. trialization and urban development in the region. This devel- opment leaves significant footprints on the sensitive northern environment, which is already stressed by the global warm- ing. This study reports the region-wide changes in the veg- 1 Introduction etation cover as well as the corresponding changes in and around 28 selected urbanized areas. The study utilizes the Significant shifts in the vegetation land cover and biologi- normalized difference vegetation index (NDVI) from high- cal productivity manifest rapid climate change in the north- resolution (250 m) MODIS data acquired for summer months ern high latitudes (Hinzman et al., 2005; Groisman and Gut- (June through August) over 15 years (2000–2014).
    [Show full text]
  • Differentiation of Trace Metal Contamination Level
    minerals Article Differentiation of Trace Metal Contamination Level between Different Urban Functional Zones in Permafrost Affected Soils (the Example of Several Cities in the Yamal Region, Russian Arctic) Timur Nizamutdinov 1 , Eugenia Morgun 2 , Alexandr Pechkin 2, Jakub Kostecki 3 , Andrzej Greinert 3 and Evgeny Abakumov 1,4,* 1 Department of Applied Ecology, Saint Petersburg State University, 16 Line 29 Vasilyevskiy Island, 199178 Saint-Petersburg, Russia; [email protected] 2 Arctic Research Center of the Yamal-Nenets Autonomous District, 73, Respubliki St., 629008 Salekhard, Russia; [email protected] (E.M.); [email protected] (A.P.) 3 Institute of Environmental Engineering, University of Zielona Góra, 15, Prof. Z. Szafrana St., 65-516 Zielona Góra, Poland; [email protected] (J.K.); [email protected] (A.G.) 4 All Russian Institute for Agricultural Microbiology, 196608 Saint-Petersburg, Russia * Correspondence: [email protected]; Tel.: +7-9111969395 Abstract: Dynamically developing urbanization causes a number of environmental effects, including those related to the chemical transformation of soils. Relatively less information about the urban Citation: Nizamutdinov, T.; Morgun, areas of the Arctic and Subarctic zones, constructed mostly on permafrost and intensively populated E.; Pechkin, A.; Kostecki, J.; Greinert, areas can be found. By the example of the analysis of basic soil properties and concentrations of A.; Abakumov, E. Differentiation of trace metals in the soils of the cities of Salekhard, Urengoy, Nadym, Novy Urengoy and Gaz Sale Trace Metal Contamination Level (the Yamalo-Nenets Autonomous District), as well as various functional zones within the cities, between Different Urban Functional the relationship between the age of the cities, the level of anthropogenic pressure and the type of Zones in Permafrost Affected Soils parent materials and the character of accumulation of metals in the soil profile of urban soils have (the Example of Several Cities in the been described.
    [Show full text]
  • Changing Seasonality of Panarctic Tundra Vegetation in Relationship to Climatic Variables
    Home Search Collections Journals About Contact us My IOPscience Changing seasonality of panarctic tundra vegetation in relationship to climatic variables This content has been downloaded from IOPscience. Please scroll down to see the full text. 2017 Environ. Res. Lett. 12 055003 (http://iopscience.iop.org/1748-9326/12/5/055003) View the table of contents for this issue, or go to the journal homepage for more Download details: IP Address: 137.229.93.181 This content was downloaded on 10/05/2017 at 19:13 Please note that terms and conditions apply. You may also be interested in: Spatial and temporal patterns of greenness on the Yamal Peninsula, Russia: interactions ofecological and social factors affecting the Arctic normalized difference vegetationindex D A Walker, M O Leibman, H E Epstein et al. Environment, vegetation and greenness (NDVI) along the North America and Eurasia Arctic transects D A Walker, H E Epstein, M K Raynolds et al. Circumpolar Arctic vegetation: a hierarchic review and roadmap toward an internationally consistent approach to survey, archive and classify tundra plot data D A Walker, F J A Daniëls, I Alsos et al. Increased wetness confounds Landsat-derived NDVI trends in the central Alaska North Slope region, 1985–2011 Martha K Raynolds and Donald A Walker Relationships between declining summer sea ice, increasing temperatures and changing vegetation in the Siberian Arctic tundra from MODIS time series (2000–11) L P Dutrieux, H Bartholomeus, M Herold et al. Land cover and land use changes in the oil and gas regions of Northwestern Siberia under changing climatic conditions Qin Yu, Howard E Epstein, Ryan Engstrom et al.
    [Show full text]
  • RNGS Prequalification
    TILLER GROUP 430 Park Ave, 8th Floor 5 Manchester Square New York, NY 10022 London W1U 3PD United States of America United Kingdom Joint Stock Company for Oil and Gas Construction CONTENTS PARAMETERS AND GENERAL CHARACTERISTICS: Strategic Lines of Activity Scope of RNGS Specialized Works and Services on Complex Project Engi- neering RNGS Works and Services with respect to Turn-Key Pipeline Construction Scope of Special Works and Services Offered by RNGS in Industrial and Civil Construction Scope of RNGS Works and Services on Procurement and Production of Spe- cial Materials, Structures and Parts for Construction Projects PROJECT EXPERIENCE: Pipeline Construction: . Gas Pipelines . Oil Pipelines . Other Pipelines Construction of Oil and Gas Facilities Industrial and Civil Construction Construction of Oil and Gas Facilities outside Russia Pipeline Network Map - laid down by RNGS in the F.S.U. List of RNGS major Projects already implemented, being under construction as well as prospective Projects ENGINEERING LEASING CONSTRUCTION EQUIPMENT AND MACHINERY: Preparation and Earth-Moving Works Machinery Load Lifting Machinery Machinery for Welding, Coating and Special Works Machinery for Concrete Works and General Construction Works Vehicles Quality Inspection and Control Equipment Vessels PRODUCTION AND PROCUREMENT MAIN STAFF LETTERS OF RECOMMENDATION: Deputy Minister for Fuel and Energy of the Russian Federation “Transneft” Oil Transporting Joint Stock Company JSC “Gazprom” IPLOCA European Market Research Center
    [Show full text]
  • Archaeology, Ethnology & Anthropology of Eurasia
    SIBERIAN BRANCH OF THE RUSSIAN ACADEMY OF SCIENCES INSTITUTE OF ARCHAEOLOGY AND ETHNOGRAPHY ARCHAEOLOGY, ETHNOLOGY & ANTHROPOLOGY OF EURASIA Volume 47, No. 4, 2019 DOI: 10.17746/1563-0110.2019.47.4 Published in Russian and English CONTENTS PALEOENVIRONMENT. THE STONE AGE 3 A.V. Vishnevskiy, K.K. Pavlenok, M.B. Kozlikin, V.A. Ulyanov, A.P. Derevianko, and M.V. Shunkov. A Neanderthal Refugium in the Eastern Adriatic 16 А.А. Anoikin, G.D. Pavlenok, V.M. Kharevich, Z.K. Taimagambetov, A.V. Shalagina, S.A. Gladyshev, V.A. Ulyanov, R.S. Duvanbekov, and M.V. Shunkov. Ushbulak—A New Stratifi ed Upper Paleolithic Site in Northeastern Kazakhstan 30 V.E. Medvedev and I.V. Filatova. Archaeological Findings on Suchu Island (Excavation Area I, 1975) THE METAL AGES AND MEDIEVAL PERIOD 43 I.A. Kukushkin and E.A. Dmitriev. Burial with a Chariot at the Tabyldy Cemetery, Central Kazakhstan 53 N.V. Basova, A.V. Postnov, A.L. Zaika, and V.I. Molodin. Objects of Portable Art from a Bronze Age Cemetery at Tourist-2 66 K.A. Kolobova, A.Y. Fedorchenko, N.V. Basova, A.V. Postnov, V.S. Kovalev, P.V. Chistyakov, and V.I. Molodin. The Use of 3D-Modeling for Reconstructing the Appearance and Function of Non-Utilitarian Items (the Case of Anthropomorphic Figurines from Tourist-2) 77 A.P. Borodovsky and A.Y. Trufanov. Ceramic Protomes of Horses from Late Bronze to Early Iron Age Sites in the Southern Taiga Zone of Siberia 85 N.V. Fedorova and A.V. Baulo. “Portrait” Medallions from the Kazym Hoard 93 M.
    [Show full text]
  • Smart and Sustainable Arctic Cities: the Russian Perspective
    SMART AND SUSTAINABLE ARCTIC CITIES: THE RUSSIAN PERSPECTIVE Prof. Irina A. Shmeleva, ITMO University, St Petersburg Dr. Stanislav E. Shmelev, Director, Environment Europe Ltd, Oxford 2019 Arctic Cities of Russia Source: http://www.interarctic.ru/map SDGS –RUSSIAN PERSPECTIVE HTTP://WWW.GKS.RU/WPS/WCM/CONNECT/ROSSTAT_MAIN/ROSSTAT/RU/STATISTICS/ GOALOFDEVELOPMENT/ Source: https://www.stockholmresilience.org Life Expectancy Share of renewables GRP Gini Unemployment Higher education SUSTAINABLE DEVELOPMENT INDICATORS Share of GRP renewables Investment Resource extraction CO emissions 2 Energy dimensions Economic dimensions Unemployment Metro Stations Crime rate Walking, Transport dimensions Social dimensions cycling, PT Democratic governance Planning Higher Environmental behaviour education Generation of MSW Environmental Green infrastructure Forest dimensions dimensions cover Recycling Rate Creative dimensions Smart dimensions Emissions Internet speed Lung diseases Creative industries employment, % Patents Source: Environment Europe (2018) Green space Recycling Rate International visitors Water use Visits to top 5 museums Creative industries Bookshops Art employment, % per capita galleries Archangelsk Arctic Cities of Russia: GRP GRP per person, RUB Murmansk 1 Yakutsk Archangelsk 0,9 0,8 0,7 Magadan Apatity 0,6 0,5 0,4 0,3 Anadyr Naryan Mar 0,2 0,1 0 Hatanga Vorkuta Norilsk Nadym Noyabrsk Salehard Novy Urengoy Arctic Cities of Russia: Investment per year INVEST, mln RUB Murmansk 1 Yakutsk Archangelsk 0,9 0,8 0,7 Magadan Apatity 0,6 0,5
    [Show full text]
  • Fire and Vegetation Dynamics in North-West Siberia During the Last
    Fire and vegetation dynamics in North-West Siberia during the last 60 years based on high-resolution remote sensing Oleg Sizov1,*, Ekaterina Ezhova2,*, Petr Tsymbarovich3, Andrey Soromotin4, Nikolay Prihod’ko4, Tuukka Petäjä2,4, Sergej Zilitinkevich2,5, Markku Kulmala2,4, Jaana Bäck6, and Kajar Köster6 1Institute of Oil and Gas Problems Russian Academy of Science, Moscow, Russia 2Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, Finland 3Institute of Geography Russian Academy of Science, Moscow, Russia 4Tyumen’ State University, Tyumen’, Russia 5Finnish Meteorological Institute, Helsinki, Finland 6Institute for Atmospheric and Earth System Research (INAR)/Forest Sciences, University of Helsinki, Finland *These authors contributed equally to this work. Correspondence: Ekaterina Ezhova (ekaterina.ezhova@helsinki.fi) Abstract. Rapidly warming Arctic undergoes transitions that can influence global carbon balance. One of the key processes is the shift towards plant species with higher biomass underlining a stronger carbon sink. The shift is predicted by the models based on abiotic climatic factors but it is not always confirmed with observations. Here we use high-resolution remote sensing to study the process of transition of tundra into forest on the 20 000 km2 area in North-West Siberia. Overall, 40% of the study 5 area was burned during 60-yr period. Three quarters of the burned areas were dry tundra. Ca 10% of the study area experienced 2-3 fires with an interval of 15-60 years suggesting a shorter fire return interval than that reported earlier for the northern areas of Central Siberia (130-350 years). Based on our results, the shift in vegetation (within the 60-years period) occurred in 40-85% of the burned territories.
    [Show full text]
  • For Excellence
    Striving For SustainabilityExcellence Report on the Territory of the Russian Federation ‘10 Contents Letter from the Chief Executive Officer of OAO NOVATEK Page 3 Company Profile Page 5 Economic Performance and Sustainability Page 9 Environmental Protection Page 20 Occupational Health and Safety Page 32 Human Resources and Social Policies Page 38 Local Communities Page 47 About the Report and Reporting Process Page 66 Dear Stakeholders, we are very pleased to present our Sustainability Report systems in these critical areas employing new technological for 2010, our fourth such report prepared in accordance solutions to reduce environmental risks as shown in this with the Global Reporting Initiative (GRI) guidelines. Our Report. previous Sustainability Reports were biennial; however, in accordance with industry best practices, the Company will Adhering to our environmental policy and our commitment now publish our sustainability report on an annual basis. to prevent or reduce any negative impact on the Thus, our stakeholders will be able to receive the latest environment, we were one of the first Russian oil and update on our sustainable development practices and gas companies to introduce renewable energy sources accomplishments in a timely manner. at our operational facilities. The linear telemechanic and valve control systems at our new gas condensate pipeline Two thousand and ten was another record year for us connecting the Yurkharovskoye field and the Purovsky operationally and financially as we increased our resource Plant will operate solely under the power of solar and base significantly via strategic investments in new assets wind energy. We also continued our participation with the and organic growth at our existing fields, thus creating a Carbon Disclosure Project and, in 2010 we improved our long-term basis for further growth of natural gas and liquid performance indicators by increasing the associated gas hydrocarbon production.
    [Show full text]
  • Can Digital Transformation Solve the Problem of Arctic Youth Migration Outflow?
    sustainability Article Can Digital Transformation Solve the Problem of Arctic Youth Migration Outflow? Vadim E. Ljovkin 1, Gennadij F. Detter 2, Josif L. Tukkel 3, Elena Gladun 4 and Anastasia O. Ljovkina 5,* 1 Department of General and Social Psychology, Institute of Psychology and Pedagogy, Tyumen State University, 625007 Tyumen, Russia; [email protected] 2 Socio-Economic Research Sector, Arctic Scientific Research Center, 629007 Salekhard, Russia; [email protected] 3 Graduate School of Cyber-Physical Systems and Control, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; [email protected] 4 Institute of State and Law, University of Tyumen, 625007 Tyumen, Russia; [email protected] 5 Department of Economic Security, System Analysis and Control, Financial-Economic Institute, Tyumen State University, 625007 Tyumen, Russia * Correspondence: [email protected]; Tel.: +7-982-903-8395 Received: 24 November 2020; Accepted: 17 December 2020; Published: 21 December 2020 Abstract: Youth educational migration is an urgent problem for most Arctic cities. In particular, this problem is extremely important for Russia in the context of changing the paradigm of the planned development of the Arctic oil and gas economy into indefinite long-term prospects and scenarios of Arctic development. This situation led to reducing social-economic northern benefits and compensations and strengthens the trends of Arctic youth educational migration. However, the experience of digital transformation and forced distance learning due to the pandemic of 2020 could bring young people a new understanding of the opportunities of digitalization, influencing their migration decisions. To clarify the potential of digital technologies in solving the problem of youth migration outflow in the Russian Arctic, we surveyed the students at technical schools and colleges of the Yamal-Nenets autonomous area, Russia; sample size 1532 students in total.
    [Show full text]