Pub Date : 2023-07-14DOI: 10.55959/msu0579-9414.5.78.3.11
M. Baranova, O. Filippov, A. Kochetkova, E. Bryzgalina
The secondary processes of alongshore transport and accumulation of sediments are the consequences of reshaping the shores of the Volgograd Reservoir. Alongshore sediment transfer promoted the segregation of bays from the main water area of the Volgograd Reservoir with abrasion-accumulative barriers. Classification of the bays according to the degree of evolution of abrasion-accumulative barriers in their entrance gates is the initial stage of complex research which is necessary to reveal the main patterns of the separation process. Application of the Earth remote sensing data and geoinformation technologies is the most effective to study the process in addition to field methods. The study is based on the satellite imagery of Google Earth program and data of field research of the bays in 2008, 2010-2016 and 2019-2020. Both analytical (cartographic, graphical, mathematical methods and methods of working with satellite images) and field (geometric leveling of abrasion-accumulative barriers and spits, and bathymetric survey of bays) research methods were applied. Morphometric parameters of the entrance gates to the bays of right and left coast of the Volgograd Reservoir were measured using the satellite images of Google Earth. Expedition materials and data received from satellite images were then compared. The difference in absolute values does not exceed double standard error. This indicates the reliability of applied research method. We calculated two coefficients for classification of bays. These coefficients considered width of the bay at the entrance gate, width of the coastal shallow water area at the entrance gate and length of above-water part of a sand bar or spit. Six classes of bays were identified according to the degree of evolution of abrasion-accumulative barriers at the entrance gates: opened bays (class 1), bays at the initial stage of segregation (2), bays at the active stage of segregation (3), bays at the final stage of segregation (4), closed bays, (5) and a specific class - bays with the entrance gates subjected to anthropogenic impact (6). The bay segregation becomes more active with the expansion of the coastal shallow water area at its entrance gate. Quick overgrowth by higher aquatic, herbaceous and tree-shrub vegetation takes place under the active formation of abrasion-accumulative barriers.
{"title":"STAGES OF BARRIERS FORMATION IN THE ENTRANCE GATES OF THE VOLGOGRAD RESERVOIR BAYS","authors":"M. Baranova, O. Filippov, A. Kochetkova, E. Bryzgalina","doi":"10.55959/msu0579-9414.5.78.3.11","DOIUrl":"https://doi.org/10.55959/msu0579-9414.5.78.3.11","url":null,"abstract":"The secondary processes of alongshore transport and accumulation of sediments are the consequences of reshaping the shores of the Volgograd Reservoir. Alongshore sediment transfer promoted the segregation of bays from the main water area of the Volgograd Reservoir with abrasion-accumulative barriers. Classification of the bays according to the degree of evolution of abrasion-accumulative barriers in their entrance gates is the initial stage of complex research which is necessary to reveal the main patterns of the separation process. Application of the Earth remote sensing data and geoinformation technologies is the most effective to study the process in addition to field methods. The study is based on the satellite imagery of Google Earth program and data of field research of the bays in 2008, 2010-2016 and 2019-2020. Both analytical (cartographic, graphical, mathematical methods and methods of working with satellite images) and field (geometric leveling of abrasion-accumulative barriers and spits, and bathymetric survey of bays) research methods were applied. Morphometric parameters of the entrance gates to the bays of right and left coast of the Volgograd Reservoir were measured using the satellite images of Google Earth. Expedition materials and data received from satellite images were then compared. The difference in absolute values does not exceed double standard error. This indicates the reliability of applied research method. We calculated two coefficients for classification of bays. These coefficients considered width of the bay at the entrance gate, width of the coastal shallow water area at the entrance gate and length of above-water part of a sand bar or spit. Six classes of bays were identified according to the degree of evolution of abrasion-accumulative barriers at the entrance gates: opened bays (class 1), bays at the initial stage of segregation (2), bays at the active stage of segregation (3), bays at the final stage of segregation (4), closed bays, (5) and a specific class - bays with the entrance gates subjected to anthropogenic impact (6). The bay segregation becomes more active with the expansion of the coastal shallow water area at its entrance gate. Quick overgrowth by higher aquatic, herbaceous and tree-shrub vegetation takes place under the active formation of abrasion-accumulative barriers.","PeriodicalId":158808,"journal":{"name":"Lomonosov Geography Journal","volume":"55 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114130292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-14DOI: 10.55959/msu0579-9414.5.78.3.8
I. Raguzin, E.N. Bykova, O. Lepikhina
High computer-intensity and complexity of the mechanisms for recalculating the coefficients of pricing factors affect the process of calculating the cadastral value. To solve these problems, the study substantiates the use of polygonal metric grid method to determine the values of pricing factors of the cadastral value of land plots using St. Petersburg as an example. In local modeling, the algorithm implementing the polygonal metric grid method showed a decrease in the number of operations by 49,999% compared to the approach applied for 2018 state cadastral valuation in St. Petersburg. Calculations showed that the storage of a polygonal metric grid requires 16 GB less than that of all auxiliary information (attributes and spatial reflection of the zone of influence of each factor) required for modeling. Thus, the technological effect of the introduction of a polygonal metric grid method into the process of cadastral valuation of real estate makes it possible to make efficient use of computing power, as well as to reduce the time for recalculating the values of pricing factors if some new objects of valuation emerge.
{"title":"POLYGONAL METRIC GRID METHOD FOR ESTIMATING THE CADASTRAL VALUE OF LAND PLOTS","authors":"I. Raguzin, E.N. Bykova, O. Lepikhina","doi":"10.55959/msu0579-9414.5.78.3.8","DOIUrl":"https://doi.org/10.55959/msu0579-9414.5.78.3.8","url":null,"abstract":"High computer-intensity and complexity of the mechanisms for recalculating the coefficients of pricing factors affect the process of calculating the cadastral value. To solve these problems, the study substantiates the use of polygonal metric grid method to determine the values of pricing factors of the cadastral value of land plots using St. Petersburg as an example. In local modeling, the algorithm implementing the polygonal metric grid method showed a decrease in the number of operations by 49,999% compared to the approach applied for 2018 state cadastral valuation in St. Petersburg. Calculations showed that the storage of a polygonal metric grid requires 16 GB less than that of all auxiliary information (attributes and spatial reflection of the zone of influence of each factor) required for modeling. Thus, the technological effect of the introduction of a polygonal metric grid method into the process of cadastral valuation of real estate makes it possible to make efficient use of computing power, as well as to reduce the time for recalculating the values of pricing factors if some new objects of valuation emerge.","PeriodicalId":158808,"journal":{"name":"Lomonosov Geography Journal","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127793107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-14DOI: 10.55959/msu0579-9414.5.78.3.5
N. Ivanova, D. V. Fomicheva, E. N. Shamshurina
Based on data from old and modern maps and satellite images we reconstructed the arable land borders within a key plot (100 km2) in the Moscow region for 8 time periods, from the General Land Survey (1767) to the present day. Brief descriptions for the special geometric plans of the Bogorodsk, Dmitrov and Moscow districts (“uyezd”) of the Moscow province (“guberniya”) were analyzed for accurately describing the land use displayed on the General Land Survey plans. The contours of arable lands on the general land survey plans (1767) of the studied area refer to those under constant cultivation, while periodically abandoned land were described and measured separately. The dynamics of arable land borders for the studied period was analyzed using the scheme of landscape zoning, and data on the lithological and geomorphologic structure of the territory and morphometric characteristics of its relief. The prevailing slope gradients and the area of arable lands are identified for each time period. The maximum percentage of arable land under constant cultivation (42%) is characteristic for the end of the 18th century; the minimum (8%) is in evidence at the present time. It was found that the proximity to settlements and the degree of soil drainage were the principal factors determining the spatial structure of arable lands.
{"title":"CHANGES IN THE CROPLAND AREAS OVER 250 YEARS (CASE STUDY A KEY PLOT IN THE MOSCOW REGION)","authors":"N. Ivanova, D. V. Fomicheva, E. N. Shamshurina","doi":"10.55959/msu0579-9414.5.78.3.5","DOIUrl":"https://doi.org/10.55959/msu0579-9414.5.78.3.5","url":null,"abstract":"Based on data from old and modern maps and satellite images we reconstructed the arable land borders within a key plot (100 km2) in the Moscow region for 8 time periods, from the General Land Survey (1767) to the present day. Brief descriptions for the special geometric plans of the Bogorodsk, Dmitrov and Moscow districts (“uyezd”) of the Moscow province (“guberniya”) were analyzed for accurately describing the land use displayed on the General Land Survey plans. The contours of arable lands on the general land survey plans (1767) of the studied area refer to those under constant cultivation, while periodically abandoned land were described and measured separately. The dynamics of arable land borders for the studied period was analyzed using the scheme of landscape zoning, and data on the lithological and geomorphologic structure of the territory and morphometric characteristics of its relief. The prevailing slope gradients and the area of arable lands are identified for each time period. The maximum percentage of arable land under constant cultivation (42%) is characteristic for the end of the 18th century; the minimum (8%) is in evidence at the present time. It was found that the proximity to settlements and the degree of soil drainage were the principal factors determining the spatial structure of arable lands.","PeriodicalId":158808,"journal":{"name":"Lomonosov Geography Journal","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131226908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-14DOI: 10.55959/msu0579-9414.5.78.3.7
A. Sentsov, A. O. Agibalov, V. Zaitsev, A.V. Poleschuk, E. Khrustalev
The Urup Island, located in the southern part of the Great Kuril ridge, is an interesting object of study because its relief is very contrasting and has a significant depth of vertical dissection. It was greatly influenced by the recent tectonic processes. Judging by the geological data, the island at the present stage is located in a shear stress field with the southeastern orientation of the axis of maximum compression. It can be explained by the subduction interaction of the Pacific and Sea of Okhotsk lithosphere plates at an acute angle of about 55°. Visual and automated decoding of satellite images and digital terrain models, and the analysis of the erosion network pattern made it possible to identify geomorphologic signs of shear displacements. These include the echeloned arrangement of lineaments as separation cracks in right-lateral shear zone in the area of the Rybnaya River and on the Skvoznyakovyj isthmus, where displacements of unidentified kinematics were previously revealed. The zones, which are oriented in the north-east direction and differ in the asymmetric pattern of the drainage network, were considered: within their limits, small tributaries are located on one side of the watercourse of the highest order as megatracks of separation. In the area of the epicenter of the earthquake of 1989, which occurred under the latitudinal horizontal stretching, a linear lowering of the relief with a feathery pattern of watercourses was recorded, interpreted as a morphostructure of stretching. Similar probably stretching zones, extending mainly along the azimuth of 130-140°, were recorded on the Pacific coast of the island. Their orientation, as well as the kinematics of probable shear displacements identified from the geomorphologic data, correlates with the general ideas about the stress-strain state of the Southern Kuriles, as well as the reconstruction of the main normal stress axes of the Kastricum Peninsula performed by us from the fracture measurements. All this prove that the suggested structural-geomorphologic interpretation of the Urup Island territory is quite reasonable. In general, our new data on the configuration and kinematics of probable active shear faults and extensional morphostructures complement the existing ideas about the latest deformations of the study area.
{"title":"GEOMORPHOLOGICAL INDICATORS OF SHEAR DISPLACEMENTS ON THE URUP ISLAND (GREAT KURIL RIDGE)","authors":"A. Sentsov, A. O. Agibalov, V. Zaitsev, A.V. Poleschuk, E. Khrustalev","doi":"10.55959/msu0579-9414.5.78.3.7","DOIUrl":"https://doi.org/10.55959/msu0579-9414.5.78.3.7","url":null,"abstract":"The Urup Island, located in the southern part of the Great Kuril ridge, is an interesting object of study because its relief is very contrasting and has a significant depth of vertical dissection. It was greatly influenced by the recent tectonic processes. Judging by the geological data, the island at the present stage is located in a shear stress field with the southeastern orientation of the axis of maximum compression. It can be explained by the subduction interaction of the Pacific and Sea of Okhotsk lithosphere plates at an acute angle of about 55°. Visual and automated decoding of satellite images and digital terrain models, and the analysis of the erosion network pattern made it possible to identify geomorphologic signs of shear displacements. These include the echeloned arrangement of lineaments as separation cracks in right-lateral shear zone in the area of the Rybnaya River and on the Skvoznyakovyj isthmus, where displacements of unidentified kinematics were previously revealed. The zones, which are oriented in the north-east direction and differ in the asymmetric pattern of the drainage network, were considered: within their limits, small tributaries are located on one side of the watercourse of the highest order as megatracks of separation. In the area of the epicenter of the earthquake of 1989, which occurred under the latitudinal horizontal stretching, a linear lowering of the relief with a feathery pattern of watercourses was recorded, interpreted as a morphostructure of stretching. Similar probably stretching zones, extending mainly along the azimuth of 130-140°, were recorded on the Pacific coast of the island. Their orientation, as well as the kinematics of probable shear displacements identified from the geomorphologic data, correlates with the general ideas about the stress-strain state of the Southern Kuriles, as well as the reconstruction of the main normal stress axes of the Kastricum Peninsula performed by us from the fracture measurements. All this prove that the suggested structural-geomorphologic interpretation of the Urup Island territory is quite reasonable. In general, our new data on the configuration and kinematics of probable active shear faults and extensional morphostructures complement the existing ideas about the latest deformations of the study area.","PeriodicalId":158808,"journal":{"name":"Lomonosov Geography Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121308750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-14DOI: 10.55959/msu0579-9414.5.78.3.1
S. Badina, A. Pankratov, V. Baburin, R. O. Bobrovsky
The study develops an approach to the classification of economy sectors according to the degree of their potential technogenic danger to the population. The article provides a brief analysis of the history of the RF legislation in the field of industrial safety, and a review of current regulatory legal documents. The existing classifications of hazardous facilities were analyzed based on domestic and foreign studies. Industries and types of economic activity were classified according to the degree of their potential danger. The sectors with the highest hazard class include coal mining; production of coke and oil products; chemical products; rubber and plastic products; metallurgical production; provision of electricity, gas and steam; air conditioning. The sectors with the middle class of danger are the extraction of oil and natural gas, metal ores; production of foodstuff, drinks, tobacco products; production of paper; production of medicines and materials used for medical purposes; production of other non-metallic mineral products; sub-sectors of mechanical engineering, water supply and sanitation, transport, scientific research, etc. The proposed approach was tested in Moscow and it became clear that there are 635 enterprises operating in the city that have a type of economic activity classified as medium or high hazard class, they employ about 241 thousand people (as in 2020), and most of them (more than 90%) work at enterprises belonging to medium-hazardous industries. According to mobile operators’ data it was find out that up to a quarter of the Moscow population is daily concentrated in the areas of potential technogenic danger, which is significantly higher than indicated in official documents. Increased actual concentration of population in places of greatest danger is a serious problem from the point of view of ensuring the safety of citizens, and organizing rescue and evacuation measures in case of emergencies.
{"title":"CLASSIFICATION OF ECONOMIC SECTORS ACCORDING TO THE DEGREE OF THEIR TECHNOGENIC DANGER","authors":"S. Badina, A. Pankratov, V. Baburin, R. O. Bobrovsky","doi":"10.55959/msu0579-9414.5.78.3.1","DOIUrl":"https://doi.org/10.55959/msu0579-9414.5.78.3.1","url":null,"abstract":"The study develops an approach to the classification of economy sectors according to the degree of their potential technogenic danger to the population. The article provides a brief analysis of the history of the RF legislation in the field of industrial safety, and a review of current regulatory legal documents. The existing classifications of hazardous facilities were analyzed based on domestic and foreign studies. Industries and types of economic activity were classified according to the degree of their potential danger. The sectors with the highest hazard class include coal mining; production of coke and oil products; chemical products; rubber and plastic products; metallurgical production; provision of electricity, gas and steam; air conditioning. The sectors with the middle class of danger are the extraction of oil and natural gas, metal ores; production of foodstuff, drinks, tobacco products; production of paper; production of medicines and materials used for medical purposes; production of other non-metallic mineral products; sub-sectors of mechanical engineering, water supply and sanitation, transport, scientific research, etc. The proposed approach was tested in Moscow and it became clear that there are 635 enterprises operating in the city that have a type of economic activity classified as medium or high hazard class, they employ about 241 thousand people (as in 2020), and most of them (more than 90%) work at enterprises belonging to medium-hazardous industries. According to mobile operators’ data it was find out that up to a quarter of the Moscow population is daily concentrated in the areas of potential technogenic danger, which is significantly higher than indicated in official documents. Increased actual concentration of population in places of greatest danger is a serious problem from the point of view of ensuring the safety of citizens, and organizing rescue and evacuation measures in case of emergencies.","PeriodicalId":158808,"journal":{"name":"Lomonosov Geography Journal","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128022116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-14DOI: 10.55959/msu0579-9414.5.78.3.4
S. Kharchenko, V. Golosov, A. Tsyplenkov, A. Fedin, M. Uspensky
The volumes of loose-clastic material moved by modern earth surface processes were quantified for a small mid-mountain catchment area ( F = 1,86 km2), located in the Baksan River basin using a number of independent methods (modeling of erosion and geomorphologic mapping). The total volume of removed material was estimated through the assessment of the thickness of bottom sediments accumulated in a reservoir located in the outlet section of the catchment area. The rates of linear and rill erosion have been found using the results of repeated UAV surveys and the pin method. The rates of rockfall processes are estimated on the basis of repeated ground-based laser scanning. Additionally, published data on the rates of earth surface processes in the mountains were used. Based on the results of field mapping and interpretation of space images, a map of the spatial pattern of leading earth surface processes was compiled. A digital terrain model of the catchment was constructed on the basis of detailed UAV survey. The volume of loose clastic material delivered to the reservoir was estimated using data on the average annual rates of leading earth surface processes, a map of their distribution over the catchment area, and the connectivity index. It has been established that the average annual denudation rate within the catchment area is 0,16 mm/year. At the same time, only about 3-10% of the products of denudation are delivered to the reservoir. The sediment yield, calculated on the basis of the volume of sediments in the reservoir, is 514 t/km2 per year. It is comparable to the sediment yield of small rivers draining the mid-mountain belt of the Alps with similar bedrock lithology, which was calculated using the results of long-term observations of water and sediment discharge at gauging stations.
{"title":"RATES OF MODERN DENUDATION OF A SMALL CATCHMENT IN THE MIDDLE MOUNTAIN BELT OF THE GREATER CAUCASUS (CASE STUDY OF THE GITCHE-GIZHGIT CATCHMENT)","authors":"S. Kharchenko, V. Golosov, A. Tsyplenkov, A. Fedin, M. Uspensky","doi":"10.55959/msu0579-9414.5.78.3.4","DOIUrl":"https://doi.org/10.55959/msu0579-9414.5.78.3.4","url":null,"abstract":"The volumes of loose-clastic material moved by modern earth surface processes were quantified for a small mid-mountain catchment area ( F = 1,86 km2), located in the Baksan River basin using a number of independent methods (modeling of erosion and geomorphologic mapping). The total volume of removed material was estimated through the assessment of the thickness of bottom sediments accumulated in a reservoir located in the outlet section of the catchment area. The rates of linear and rill erosion have been found using the results of repeated UAV surveys and the pin method. The rates of rockfall processes are estimated on the basis of repeated ground-based laser scanning. Additionally, published data on the rates of earth surface processes in the mountains were used. Based on the results of field mapping and interpretation of space images, a map of the spatial pattern of leading earth surface processes was compiled. A digital terrain model of the catchment was constructed on the basis of detailed UAV survey. The volume of loose clastic material delivered to the reservoir was estimated using data on the average annual rates of leading earth surface processes, a map of their distribution over the catchment area, and the connectivity index. It has been established that the average annual denudation rate within the catchment area is 0,16 mm/year. At the same time, only about 3-10% of the products of denudation are delivered to the reservoir. The sediment yield, calculated on the basis of the volume of sediments in the reservoir, is 514 t/km2 per year. It is comparable to the sediment yield of small rivers draining the mid-mountain belt of the Alps with similar bedrock lithology, which was calculated using the results of long-term observations of water and sediment discharge at gauging stations.","PeriodicalId":158808,"journal":{"name":"Lomonosov Geography Journal","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129337107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-09DOI: 10.55959/msu0579-9414.5.78.2.9
N. Mkrtchyan, A. Gerasimov
The study of intraregional migration in Russia is complicated by short time series and a limited set of published data, particularly at the municipal level. The publicly available data allow only general evaluation of migration parameters, e. g. the migration turnover, the net migration features, etc. More complete data, for example, on movements between municipalities, could be obtained from the regional statistical offices on special requests. Based on such data on intraregional migration in the Altai Krai in 2014-2018, the hinterlands of the urban okrugs were identified, and some characteristics of those hinterlands were revealed.The migration turnover with ten urban okrugs of the region was calculated for urban and rural settlements of the Altai Krai. A settlement was attributed to the hinterland of a particular urban okrug basing on the maxi-mum migration turnover with it. The hinterlands were delimited in two ways, i.e. with and without considering the capital city of Barnaul. By this we evaluated how the exclusion of migration to/from the regional capital, which dominates the system of intraregional migration links, affects the migration preferences of settlement residents.The results of the study showed that the Barnaul hinterland includes more than half of the Krai’s territory with approximately 60% of the region’s population. The hinterlands of other cities are proportional to the population of their centers and are also influenced by their location in relation to the regional capital. Without considering Barnaul, several cities, such as Rubtsovsk and Slavgorod considerably expand their influence, while the hinterland of Biysk, the second-largest city in the region, changed only slightly. Despite the importance of the size of cities, the mutual disposition of subcenters and their location in relation to the regional center play a critical role in the intraregional migration. The study gives an idea of principal directions of inter-settlement migration in the Altai Krai.
{"title":"MIGRATION HINTERLANDS OF CITIES IN THE ALTAI KRAI","authors":"N. Mkrtchyan, A. Gerasimov","doi":"10.55959/msu0579-9414.5.78.2.9","DOIUrl":"https://doi.org/10.55959/msu0579-9414.5.78.2.9","url":null,"abstract":"The study of intraregional migration in Russia is complicated by short time series and a limited set of published data, particularly at the municipal level. The publicly available data allow only general evaluation of migration parameters, e. g. the migration turnover, the net migration features, etc. More complete data, for example, on movements between municipalities, could be obtained from the regional statistical offices on special requests. Based on such data on intraregional migration in the Altai Krai in 2014-2018, the hinterlands of the urban okrugs were identified, and some characteristics of those hinterlands were revealed.The migration turnover with ten urban okrugs of the region was calculated for urban and rural settlements of the Altai Krai. A settlement was attributed to the hinterland of a particular urban okrug basing on the maxi-mum migration turnover with it. The hinterlands were delimited in two ways, i.e. with and without considering the capital city of Barnaul. By this we evaluated how the exclusion of migration to/from the regional capital, which dominates the system of intraregional migration links, affects the migration preferences of settlement residents.The results of the study showed that the Barnaul hinterland includes more than half of the Krai’s territory with approximately 60% of the region’s population. The hinterlands of other cities are proportional to the population of their centers and are also influenced by their location in relation to the regional capital. Without considering Barnaul, several cities, such as Rubtsovsk and Slavgorod considerably expand their influence, while the hinterland of Biysk, the second-largest city in the region, changed only slightly. Despite the importance of the size of cities, the mutual disposition of subcenters and their location in relation to the regional center play a critical role in the intraregional migration. The study gives an idea of principal directions of inter-settlement migration in the Altai Krai.","PeriodicalId":158808,"journal":{"name":"Lomonosov Geography Journal","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121364840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-09DOI: 10.55959/msu0579-9414.5.78.2.8
M. Vikulina, F. A. Romanenko, M. Zimin, L. Efimova, B. Pokrovskiy
In 1958 V.F. Perov, staff member of the Khibiny Research and Training Station of the MSU Faculty of Geography, described four snow-ice formations in the Khibiny Mountains and classified them as very small glaciers. Until our research began in 2005, these glaciers were not studied in detail. We used field observations, drilling, GIS and remote sensing methods to study the structure of the glaciers and evaluate changes in their geometry during 60 years. The snow-ice formations were drilled through for the first time and the ice cores underwent geochemical and isotope-oxygen analyses. The thickness of ice kernels varies from 0,2 to 1,6 m. Our investigations showed that despite a slight degradation, the glaciers` area remains relatively stable since 1958. This fact may be caused by the increase in solid precipitation in recent years. According to the analysis of climatic changes, in the early 2000s a decrease in snowfall was observed in the Khibiny Mountains. The maximum snow thickness at the meteorological site of the Khibiny station in 2002-2003 winter period was 55 cm. This could be a factor of more than 2 times decrease of glacier areas during 2000-2010. After 2007 there has been an increase in snow precipitation, and the maximum snow depth of 180 cm was observed in 2020, the absolute maximum for the whole period of observations (1984-2020). According to published data the increase in mean annual temperature at the plains of the Kola Peninsula is 2,3 ± 1°C during the last 50 years. However, mean monthly temperatures of the summer do not rise. We consider that, along with recently increasing snow precipitation, this is exactly what determine rather stable state of snow-ice formations in the Khibiny Mountains, which appeared to be more resistant to climate warming than mountain glaciers.
{"title":"STRUCTURE AND DYNAMICS OF SNOW AND ICE FORMATIONS IN THE KHIBINY MOUNTAINS IN THE 21ST CENTURY","authors":"M. Vikulina, F. A. Romanenko, M. Zimin, L. Efimova, B. Pokrovskiy","doi":"10.55959/msu0579-9414.5.78.2.8","DOIUrl":"https://doi.org/10.55959/msu0579-9414.5.78.2.8","url":null,"abstract":"In 1958 V.F. Perov, staff member of the Khibiny Research and Training Station of the MSU Faculty of Geography, described four snow-ice formations in the Khibiny Mountains and classified them as very small glaciers. Until our research began in 2005, these glaciers were not studied in detail. We used field observations, drilling, GIS and remote sensing methods to study the structure of the glaciers and evaluate changes in their geometry during 60 years. The snow-ice formations were drilled through for the first time and the ice cores underwent geochemical and isotope-oxygen analyses. The thickness of ice kernels varies from 0,2 to 1,6 m. Our investigations showed that despite a slight degradation, the glaciers` area remains relatively stable since 1958. This fact may be caused by the increase in solid precipitation in recent years. According to the analysis of climatic changes, in the early 2000s a decrease in snowfall was observed in the Khibiny Mountains. The maximum snow thickness at the meteorological site of the Khibiny station in 2002-2003 winter period was 55 cm. This could be a factor of more than 2 times decrease of glacier areas during 2000-2010. After 2007 there has been an increase in snow precipitation, and the maximum snow depth of 180 cm was observed in 2020, the absolute maximum for the whole period of observations (1984-2020). According to published data the increase in mean annual temperature at the plains of the Kola Peninsula is 2,3 ± 1°C during the last 50 years. However, mean monthly temperatures of the summer do not rise. We consider that, along with recently increasing snow precipitation, this is exactly what determine rather stable state of snow-ice formations in the Khibiny Mountains, which appeared to be more resistant to climate warming than mountain glaciers.","PeriodicalId":158808,"journal":{"name":"Lomonosov Geography Journal","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115580724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-09DOI: 10.55959/msu0579-9414.5.78.2.4
A.I. Skafarik, S. V. Kiseleva
Measures to support electricity generation at low-power plants using the renewable energy sources as well, which were introduced in the Russian Federation, actualized the task of assessing the effectiveness of such legislative initiatives. The paper presents and tests a methodology for assessing the performance and economic efficiency of network photovoltaic stations, depending on physical-geographical and socio-economic factors. The results of assessing the potential performance of stations in various regions of Russia, obtained on the basis of archives of data on incoming solar radiation for the period from 2010 to 2020, are presented with one hour resolution. It is shown that economic efficiency of Solar Microgeneration Stations (SMS) in the study areas varies widely depending on the combination of such factors as the amount of solar radiation, retail and wholesale electricity tariffs, and the regime of electricity consumption by SMS owners. Despite significant solar energy resources, the payback period of photovoltaic stations in the regions of Southern Siberia (Irkutsk, Ulan-Ude) turned out to be the longest among all areas under study because of the established tariffs for electricity sale and purchase. Optimal conditions for the operation of such stations are characteristic only for the regions of Russia that belong to non-price zones and territorially isolated energy systems of the wholesale market (Magadan and Kaliningrad regions, Kamchatka, Primorsky Krai), where high wholesale electricity prices make the payback expectable within the guaranteed life of the station equipment (20 years).
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Pub Date : 2023-07-09DOI: 10.55959/msu0579-9414.5.78.2.1
A. Tkachenko
The article discusses the essence of “rural area” notion. It is shown that geographical studies suggest different interpretations of rural areas: as a cultural landscape, as a habitat for the rural population, or as a socio-geographical space formed by rural residents in the course of their living. It is proposed to start with the idea of rural areas as a cultural landscape. According to the author, the originality of countryside is determined by the combination of its natural basis, to some extent modified by man, and the over-imposed center-peripheral structure of settlement and economy. The visual recognibility and identifiability of the rural areas are noted. The components (layers) of rural areas are named, as well as the elementary objects of which they consist. A special role of settlement network is emphasized. The author’s approach to the geographical typology of rural areas is suggested, based on the combination of the zonal typology of rural settlement developed by S.A. Kovalev and the ideas about the “ideal” types (“archetypes”) of rural areas associated with their functions. Geographic types of rural areas are the result of the superposition of archetypes over the zonal types of settlement. The diversity of geographic types of rural areas is shown for three principal zonal types of rural settlement in Russia.
{"title":"RURAL AREAS: A CONCEPT AND APPROACHES TO TYPOLOGY","authors":"A. Tkachenko","doi":"10.55959/msu0579-9414.5.78.2.1","DOIUrl":"https://doi.org/10.55959/msu0579-9414.5.78.2.1","url":null,"abstract":"The article discusses the essence of “rural area” notion. It is shown that geographical studies suggest different interpretations of rural areas: as a cultural landscape, as a habitat for the rural population, or as a socio-geographical space formed by rural residents in the course of their living. It is proposed to start with the idea of rural areas as a cultural landscape. According to the author, the originality of countryside is determined by the combination of its natural basis, to some extent modified by man, and the over-imposed center-peripheral structure of settlement and economy. The visual recognibility and identifiability of the rural areas are noted. The components (layers) of rural areas are named, as well as the elementary objects of which they consist. A special role of settlement network is emphasized. The author’s approach to the geographical typology of rural areas is suggested, based on the combination of the zonal typology of rural settlement developed by S.A. Kovalev and the ideas about the “ideal” types (“archetypes”) of rural areas associated with their functions. Geographic types of rural areas are the result of the superposition of archetypes over the zonal types of settlement. The diversity of geographic types of rural areas is shown for three principal zonal types of rural settlement in Russia.","PeriodicalId":158808,"journal":{"name":"Lomonosov Geography Journal","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116664057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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