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Identifying the impact of generalization on maps of erosion dissection at different scales

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Języki publikacji
EN
Abstrakty
EN
The issue of building thematic maps of erosion dissection, despite its wide demand in various fields of human activity (construction of hydraulic structures, transport and housing construction, agriculture), still has no clear rules and instructions, which causes different perceptions of the obtained mapping results by specialists. The purpose of the study is to experimentallyn identify the change in the index of erosive dissection depending on the scale of the initial data, the size of the cell, the method of constructing the thematic map, etc. The methods used in this research are the method of mathematical statistics, GIS mapping and modelling, spatial analysis, and change detection. For each of the selected methods of thematic mapping, we compiled the cartograms that allow the visual tracking of changes in the elements of the erosion network depending on the geometric characteristics of the scale and cell size. The dimensions and characteristics with optimal results were substantiated. The main feature of erosional dissection mapping of any territory is to detect the negative relief or concave upward forms. The result is a visual perception accompanied by the addition of numerical values. Estimation of erosion dissection by these methods was used in the construction of a thematic map of the foothill territory with a relatively homogeneous relief pattern. It should be noted that the change in the morphometric index happens simultaneously with the change in orographic features. Therefore, for areas with different forms of relief, the combination or use of only one of the above methods allows identifying the optimal and most accurate one among them. The use of well-established methods will facilitate the study of foothill plains or mountainous areas and will allow expanding the scope of the use of thematic maps for applied purposes and forecasting.
Słowa kluczowe
Rocznik
Tom
Strony
1--8
Opis fizyczny
Bibliogr. 21 poz., rys., tab.
Twórcy
  • Department of Physical Geography, Geomorphology and Paleogeography, Faculty of Geography, Yuriy Fedkovych Chernivtsi National University, St. Kotsyubynsky, 2, Chernivtsi, Ukraine
autor
  • Department of Geomatics, Land and AgroManagement, Educational and Scientific Institute of Biology, Chemistry and Bioresources, Yuriy Fedkovych Chernivtsi National University, St. Lesya Ukrainka, 25, Chernivtsi, Ukraine
autor
  • Department of Geomatics, Land and AgroManagement, Educational and Scientific Institute of Biology, Chemistry and Bioresources, Yuriy Fedkovych Chernivtsi National University, St. Lesya Ukrainka, 25, Chernivtsi, Ukraine
Bibliografia
  • [1] Bespalko, R. and Yarova, Y. (2016). Implementation of geospatial data infrastructure by the INSPIRE directive. Technical Sciences and Technologies, 2(4):72–76.
  • [2] Bezdukhov, O. A. and Filonenko, Y. M. (2017). Features of the application of correlation analysis in the ecological-geomorphological evaluation of the territory (for example, chernihiv region). Physical Geography and Geomorphology, 4(88):45–50.
  • [3] Boiko, K. Y. and Koshliakov, O. Y. (2015). Quantitative regional landslide hazard prediction using GIS within the Southern coast of Crimea. In 14th EAGE International Conference on Geoinformatics-Theoretical and Applied Aspects, number 1, pages 1–5. EAGE Publications BV, doi:10.3997/2214-4609.201412377.
  • [4] Cabinet of Ministers of Ukraine (2023). Cabinet of Ministers of Ukraine. On the approval of the Procedure for the use of funds provided for in the state budget for carrying out land inventory and updating the cartographic basis of the State Land Cadastre. Official Website of the Parliament of Ukraine. Last accessed January 2023.
  • [5] Chernin, M. V. (1966). On the methodology for compiling small-scale morphometric maps. Interdepartmental Republican Scientific and Technical Collection. Geodesy, Cartography and Aerial Photography, (4):102–105.
  • [6] Government portal (2004). State program prevention and fight against land flooding. Government portal. Last accessed January 2023.
  • [7] Government portal (2022). The stategeocadastre has publicized the main state topographic map with the scale of 1:50 000.
  • [8] Government portal. Decentralization. Last accessed January 2023.
  • [9] Head Department of Geodesy, Cartography and Cadastre of Ukraine (1999). The main provisions for the creation and updating of topographic maps at scales of 1:10000, 1:25000, 1:50000, 1:100000, 1:200000, 1:500000, 1:1000000. Head Department of Geodesy, Cartography and Cadastre of Ukraine. Research Institute Geodesy and Cartography. Last accessed January 2023.
  • [10] Hutsul, T. and Smirnov, Y. (2017). Comparative accuracy assessment of global DTM and DTM generated from soviet topographic maps for the purposes of road planning. Geodesy and Cartography, 43(4):173–181, doi:10.3846/20296991.2017.1412638.
  • [11] Józefaciuk, C. and Józefaciuk, A. (1996). The erosion mechanisms and methodological indicators for the research on erosion. Biblioteka Monitoringu Środowiska, page 148.
  • [12] Kuznetsova, Y. S. (2008). Morphometric analysis of interfluves for assessing soil erosion hazard. Maccabee Readings - 2007, pages 38–47.
  • [13] Lyalko, V., Elistratova, L., Apostolov, O., Khodorovsky, A. Y., and Czechniy, V. (2018). Express-evaluation of potentially erosive soils on the territory of Ukraine, by using the remote sensing data with consideration of climatic factors and vegetation. Dopov. Nac. Akad. Nauk Ukr., 3:87–94, doi:10.15407/dopovidi2018.03.087.
  • [14] Lyalko, V. I., Elistratova, L. A., Apostolov, A. A., and Chekhniy, V. M. (2017). Analysis of soil erosion processes in Ukraine on the basis of remote sensing of the Earth. Visn. Nac. Akad. Nauk Ukr., (10):34–41, doi:10.15407/visn2017.10.034.
  • [15] Narozhnyaya, A. and Buryak, Z. (2016). Morphometric analysis of digital elevation models of the Belgorod region at different degrees of generalization. Nauch. Ved. Belgorod. Gos. Univ. Ser. Estestv. Nauki, 25:169–178.
  • [16] Nikolov, V. (2009). Geomorphologic methods for estimating the flood hazards in mountain catchments. Information & Security, 24:89–103.
  • [17] Sorokina, L. Y., Golubtsov, O. G., Chekhniy, V. M., and Batova, N. I. (2017). Methodology and methodology of medium-scale geoin-formation mapping of landscapes. Ukrainian Geographic Journal, 3(99):10–20, doi:10.15407/ugz2017.03.010.
  • [18] Sossa, R. (2021). The development of topographic mapping of Ukraine. Visnyk Taras Shevchenko National University of Kyiv. Military – Special Sciences, 1(45):74–78, doi:10.17721/1728-2217.2021.45.74-78.
  • [19] Spiridonov, A. I. (1952). Geomorphological mapping. Publishing house of geographical literature. State Service of Ukraine for Emergency Situations (2015). Methodological recommendations for maintaining the state water cadastre under the section surface waters. State Service of Ukraine for Emergency Situations. Liga360. Last accessed January 2023.
  • [20] Verkhovna Rada of Ukraine (2020). About the national infrastructure of geospatial data. Verkhovna Rada of Ukraine. Official Web-site of the Parliament of Ukraine. Last accessed January 2023.
  • [21] Wawer, R. and Nowocień, E. (2007). Digital map of water erosion risk in Poland: A qualitative, vector-based approach. Polish Journal of Environmental Studies, 16(5):763–772.
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2b6ed6e1-7663-4d77-892a-434292d82fde
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