GLORIA

GEOMAR Library Ocean Research Information Access

X

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Perspectives of the development of complex interdisciplinary hydrological and geocryological research in the North-East of Russia
    Saint Petersburg State University ; 2021
    In:  Vestnik of Saint Petersburg University. Earth Sciences Vol. 66, No. 1 ( 2021)
    Details
    In: Vestnik of Saint Petersburg University. Earth Sciences, Saint Petersburg State University, Vol. 66, No. 1 ( 2021)
    Abstract: Climate warming and anthropogenic impact causes transformation of geocryological conditions in the river basins of the North-East of Russia. Changes in the thickness of the active layer, configuration of taliks, types of landscapes and other factors lead to transformation of water exchange processes between surface and groundwater runoff. This is manifested in the seasonal redistribution of the components of the water balance, accelerated melting of aufeis, change in the ratio of waters of different genesis in the structure of river runoff. As a result, natural and anthropogenic risks that affect the safe and efficient development of infrastructure and socio-economic processes are increasing. At the same time the system of observations developed in the Soviet period has been practically destroyed in the region. This paper offers a vision of organizing complex multidisciplinary research to assess and project the changes in the conditions of underground and surface water interaction in natural and disturbed river basins of the cryolithozone of the North-East of Russia, including for solving applied problems, based on permafrost, hydrology, hydrogeology, landscape science and geophysics with applications of remote sensing and field research integrated through mathematical modeling methods. To achieve the goal, the identification of natural and disturbed landscapes using remote sensing data, and key areas for detailed research will be selected. Geophysical and drilling works will be carried out within the sites to establish permafrost-hydrogeological conditions, monitoring stations will be equipped to determine hydrogeological, hydrometeorological and geocryological characteristics, including sampling for isotopic and hydrogeochemical studies. As the main key sites, it is proposed to use the area of ​​the Kolyma water-balance station and the site on Anmangynda aufeis, for which there are long-term observation series in the 20th century. Field data will become the basis for improving the mathematical model of runoff formation, considering the relationship between groundwater and river runoff in the conditions of permafrost. Mathematical modeling will make it possible to quantitatively analyze the water balance of rivers considering various factors and project water availability both for specific industrial facilities and for the region as a whole.
    Type of Medium: Online Resource
    ISSN: 2541-9668 , 2587-585X
    URL: Article
    DOI: 10.21638/spbu07.2021.105
    Language: Unknown
    Publisher: Saint Petersburg State University
    Publication Date: 2021
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 2
    Online Resource
    Online Resource
    Mapping temperature and precipitation extremes under changing climate (on the example of The Ural region, Russia)
    Russian Geographical Society ; 2020
    In:  GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY Vol. 13, No. 2 ( 2020-06-24), p. 154-165
    Details
    In: GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY, Russian Geographical Society, Vol. 13, No. 2 ( 2020-06-24), p. 154-165
    Abstract: The paper presents a series of maps of extreme climatic characteristics for the Ural region and their changes under climate warming observed in last decades. We calculate threshold, absolute and percentile-based indices with the use of daily temperature and precipitation dataset of 99 weather stations of Roshydromet. Extreme climatic characteristics were averaged by moving 30-year periods from 1951 to 2010 for temperature and from 1966 to 2015 for precipitation. The regression-based interpolation was used for mapping climatic extremes taking into consideration the influence of topography. Elevation and general curvature of the terrain are considered as independent variables. In addition, the changes of extreme characteristics between the 30-year periods were estimated. As a result, a series of maps of temperature and precipitation extremes for the Ural region has been created. The maps present not only spatial distribution of the climatic extremes, but also regional features of their changes under climate warming. In general, the revealed changes in extremes in the Ural region correspond to the trends observed on the most of the territory of Russia. There is a substantial decrease of the number of extremely cold days in winter, and the minimum winter temperature has a strong positive trend (up to 1-5°C/30 years). The maximum temperature in summer has a positive trend in most of the territory, but the increase rate does not exceed 2°C between 1951–1980 and 1981–2010. The precipitation extremes also increased up to 0.5-1.5 mm when comparing 1966–1995 and 1985–2015 periods.
    Type of Medium: Online Resource
    ISSN: 2542-1565 , 2071-9388
    URL: Article
    DOI: 10.24057/2071-9388-2019-42
    Language: Unknown
    Publisher: Russian Geographical Society
    Publication Date: 2020
    detail.hit.zdb_id: 2967703-8
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 3
    Online Resource
    Online Resource
    ICING MAPPING IN THE CHIKOY RIVER TRANSBOUNDARY BASIN
    Perm State University (PSU) ; 2022
    In:  Географический вестник = Geographical bulletin , No. 3(62) ( 2022), p. 169-179
    Details
    In: Географический вестник = Geographical bulletin, Perm State University (PSU), , No. 3(62) ( 2022), p. 169-179
    Abstract: The basin of the transboundary Chikoy River is the largest in terms of area among the catchment areas of the main tributaries of the Selenga River. The Selenga basin as a whole is characterized by a wide distribution of icing. The paper presents the results of mapping icings and their distribution according to various physical and geographical characteristics. Based on the Landsat-8 satellite imagery for 2019, a cartographic database of icings was compiled for the first time for this territory. The database includes 6,319 objects on a total area of 140 km2. The largest icing is 671.13 thousand m2 in area. The mean value, median, and mode are 22.16, 12.86, and 10.24 thousand m2, respectively. Most of the icings are located at altitudes of 900–1,200 m and on the slopes of the eastern exposure. Icings were not found in the western part of the Chikoy River basin and in the near-top belt of the ridges. Fissure rocks are predominant in the study area, which indicates the leading role of groundwater in the formation of icing. The greatest icing coverage is found in areas with annual precipitation in the range of 350–460 mm and with an average annual temperature of –2.5 ... –3℃. In the landscape structure, icing is common in low- and mid-mountain taiga larch-dark coniferous landscapes. About 80% of the icings are located on the complexes of soddy podburs, podburs, soddy podzols, and other associated soils. The level of icing coverage was found to be not proportional to the natural resources of groundwater, which can be caused by both the imperfection of the original groundwater map and the uncharacteristic manifestation of icing in 2019. The resulting database will become the basis for retrospective and predictive assessments of the icing dynamics in the Chikoy and Selenga River basins.
    Type of Medium: Online Resource
    ISSN: 2079-7877
    Uniform Title: КАРТОГРАФИРОВАНИЕ НАЛЕДЕЙ В ТРАНСГРАНИЧНОМ БАССЕЙНЕ Р. ЧИКОЙ
    URL: Journal
    URL: Article
    DOI: 10.17072/2079-7877
    DOI: 10.17072/2079-7877-2022-3-169-179
    Language: Unknown
    Publisher: Perm State University (PSU)
    Publication Date: 2022
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 4
    Online Resource
    Online Resource
    A satellite-derived database for stand-replacing windthrow events in boreal forests of European Russia in 1986–2017
    Copernicus GmbH ; 2020
    In:  Earth System Science Data Vol. 12, No. 4 ( 2020-12-17), p. 3489-3513
    Details
    In: Earth System Science Data, Copernicus GmbH, Vol. 12, No. 4 ( 2020-12-17), p. 3489-3513
    Abstract: Abstract. Severe winds are among the main causes of disturbances in boreal and temperate forests. Here, we present a new geographic information system (GIS) database of stand-replacing windthrow events in the forest zone of European Russia (ER) for the 1986–2017 period. The delineation of windthrow areas was based on the full Landsat archive and two Landsat-derived products on forest cover change, namely the Global Forest Change and the Eastern Europe's forest cover change datasets. Subsequent verification and analysis of each windthrow was carried out manually to determine the type of related storm event, its date or date range, and geometrical characteristics. The database contains 102 747 elementary areas of damaged forest that were combined into 700 windthrow events caused by 486 convective or non-convective storms. The database includes stand-replacing windthrows only with an area 〉 0.05 and 〉 0.25 km2 for the events caused by tornadoes and other storms, respectively. Additional information such as weather station reports and event descriptions from media sources is also provided. The total area of stand-replacing windthrows amounts to 2966 km2, which is 0.19 % of the forested area of the study region. Convective windstorms contribute 82.5 % to the total wind-damaged area, while tornadoes and non-convective windstorms are responsible for 12.9 % and 4.6 % of this area, respectively. Most of the windthrow events in ER happened in summer, which is in contrast to Western and Central Europe, where they mainly occur in autumn and winter. Due to several data and method limitations, the compiled database is spatially and temporally inhomogeneous and hence incomplete. Despite this incompleteness, the presented database provides a valuable source of spatial and temporal information on windthrow in ER and can be used by both science and management. The database is available at https://doi.org/10.6084/m9.figshare.12073278.v6 (Shikhov et al., 2020).
    Type of Medium: Online Resource
    ISSN: 1866-3516
    URL: Article
    DOI: 10.5194/essd-12-3489-2020
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2020
    detail.hit.zdb_id: 2475469-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 5
    Online Resource
    Online Resource
    Satellite-based analysis of the spatial patterns of fire- and storm-related forest disturbances in the Ural region, Russia
    Springer Science and Business Media LLC ; 2019
    In:  Natural Hazards Vol. 97, No. 1 ( 2019-5), p. 283-308
    Details
    In: Natural Hazards, Springer Science and Business Media LLC, Vol. 97, No. 1 ( 2019-5), p. 283-308
    Type of Medium: Online Resource
    ISSN: 0921-030X , 1573-0840
    URL: Article
    DOI: 10.1007/s11069-019-03642-z
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2017806-2
    SSG: 14
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 6
    Online Resource
    Online Resource
    A GIS-based modeling of snow accumulation and melt processes in the Votkinsk reservoir basin
    Springer Science and Business Media LLC ; 2018
    In:  Journal of Geographical Sciences Vol. 28, No. 2 ( 2018-2), p. 221-237
    Details
    In: Journal of Geographical Sciences, Springer Science and Business Media LLC, Vol. 28, No. 2 ( 2018-2), p. 221-237
    Type of Medium: Online Resource
    ISSN: 1009-637X , 1861-9568
    URL: Article
    DOI: 10.1007/s11442-018-1469-x
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2018
    detail.hit.zdb_id: 2227441-8
    SSG: 14
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 7
    Online Resource
    Online Resource
    Assessment of the accuracy of snow water equivalent calculation with the use of global numerical weather prediction models and SnoWE snowpack model (by the example of the Kama River basin)
    Saint Petersburg State University ; 2021
    In:  Vestnik of Saint Petersburg University. Earth Sciences Vol. 66, No. 1 ( 2021)
    Details
    In: Vestnik of Saint Petersburg University. Earth Sciences, Saint Petersburg State University, Vol. 66, No. 1 ( 2021)
    Abstract: The paper discusses the results of snow cover formation and snowmelt modeling in the Kama river basin (S = 507 km2) using two approaches previously developed by the authors. The first one is the SnoWE snowpack model developed at the Hydrometeorological Center of the Russian Federation and used in quasi-operational mode since 2015, and the second is GIS-based empirical technique which was previously implemented for the Kama river basin. Both methods are based on a combination of numerical weather prediction (NWP) models data with operational synoptic observations at the weather stations. The study was performed for the winter seasons 2018/19 and 2019/20. To assess the reliability of simulated snow water equivalent (SWE), we obtained in-situ data from 68 locations (snow survey routes) distributed over the entire area of ​​the river basin. As a result of the study, the main advantages and limitations of two methods for SWE calculation were identified. As for the maximum values of SWE, the root mean square error (RMSE) of simulated SWE ranges from 14% to 28% of the average observed SWE according to in-situ data. It was found, that the SnoWE model more reliably reproduces SWE in the lowland part of the river basin. Simultaneously, SWE was substantially underestimated according to the SnoWE model in the northern and mountainous parts of the basin,. The second method provides a more realistic estimate of the spatial distribution of SWE over the area, as well as a higher accuracy of calculation for its northern part of the river basin. The main drawback of the method is the substantial overestimation of the intensity of snowmelt and snow sublimation. Consequently, the accuracy of SWE calculations sharply decreases in the spring season. Wherein, SWE calculation accuracy in the winter season 2019/20 was substantially lower than in 2018/19 due to frequent thaws.
    Type of Medium: Online Resource
    ISSN: 2541-9668 , 2587-585X
    URL: Article
    DOI: 10.21638/spbu07.2021.110
    Language: Unknown
    Publisher: Saint Petersburg State University
    Publication Date: 2021
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 8
    Online Resource
    Online Resource
    西班牙西南Aznalcollar尾矿坝事故
    Springer Science and Business Media LLC ; 2021
    In:  Mine Water and the Environment Vol. 40, No. 3 ( 2021-09), p. 606-621
    Details
    In: Mine Water and the Environment, Springer Science and Business Media LLC, Vol. 40, No. 3 ( 2021-09), p. 606-621
    Type of Medium: Online Resource
    ISSN: 1025-9112 , 1616-1068
    URL: Article
    DOI: 10.1007/s10230-021-00761-7
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2053169-2
    SSG: 13
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 9
    Online Resource
    Online Resource
    MAPPING OF THE VEGETATION COVER OF THE PERM REGION BASED ON LANDSAT SATELLITE IMAGES
    Perm State University (PSU) ; 2022
    In:  Географический вестник = Geographical bulletin , No. 1(60) ( 2022), p. 150-164
    Details
    In: Географический вестник = Geographical bulletin, Perm State University (PSU), , No. 1(60) ( 2022), p. 150-164
    Abstract: The paper deals with the methodology and results of Landsat-based vegetation cover mapping for the Perm region. Initial Landsat images were obtained in 2016–2020. The map building technique is based on the supervised classification of satellite images and subsequent post-processing. This technique involves the use of a number of additional sources, in particular, the results of global-Landsat-based mapping of forest disturbances, water surface, and arable lands, as well as reforestation areas on abandoned agricultural lands. As a result, a map with a spatial resolution of 30 m (which corresponds to a scale of 1:100,000) has been created. The map legend includes 19 thematic classes, 11 of them contain information on forest vegetation. The accuracy assessment of the obtained data was carried out with the use of a MODIS-based map of the vegetation cover of Russia and also forest inventory data on two forestries of the Perm region. The highest classification accuracy is typical for dark-coniferous and pine forests (it is about 70% according to the map of the vegetation cover of Russia, and up to 75% according to the forest inventory data). Deciduous forests are recognized with the lowest accuracy since, according to the classification results, they were partly categorized as mixed forests (with a predominance of deciduous species). The practical use of the created map of the vegetation cover may include estimation of long-term changes for individual vegetation classes (in particular, for intact forest landscapes), or various calculations based on the species composition and age structure of the forests. The compiled map of the vegetation cover of the Perm region is available at https://figshare.com/s/98d29e83d1f2039b2528.
    Type of Medium: Online Resource
    ISSN: 2079-7877
    Uniform Title: КАРТОГРАФИРОВАНИЕ РАСТИТЕЛЬНОГО ПОКРОВА ПЕРМСКОГО КРАЯ ПО СПУТНИКОВЫМ СНИМКАМ LANDSAT
    URL: Journal
    URL: Article
    DOI: 10.17072/2079-7877
    DOI: 10.17072/2079-7877-2022-1-150-164
    Language: Unknown
    Publisher: Perm State University (PSU)
    Publication Date: 2022
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 10
    Online Resource
    Online Resource
    FORECAST OF HEAVY SNOWFALLS IN THE URALS WITH THE USE OF NUMERICAL ATMOSPHERIC MODELS
    Perm State University (PSU) ; 2019
    In:  Географический вестник = Geographical bulletin , No. 1 ( 2019), p. 93-106
    Details
    In: Географический вестник = Geographical bulletin, Perm State University (PSU), , No. 1 ( 2019), p. 93-106
    Type of Medium: Online Resource
    ISSN: 2079-7877
    Uniform Title: ПРОГНОЗ СИЛЬНЫХ СНЕГОПАДОВ НА УРАЛЕ С ИСПОЛЬЗОВАНИЕМ ЧИСЛЕННЫХ МОДЕЛЕЙ АТМОСФЕРЫ
    URL: Journal
    URL: Article
    DOI: 10.17072/2079-7877
    DOI: 10.17072/2079-7877-2019-1-93-106
    Language: Unknown
    Publisher: Perm State University (PSU)
    Publication Date: 2019
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...