{"id":1310,"date":"2023-02-01T22:23:22","date_gmt":"2023-02-01T19:23:22","guid":{"rendered":"https:\/\/hydro-chemistry-ecology.knu.ua\/?page_id=1310"},"modified":"2023-02-01T22:26:26","modified_gmt":"2023-02-01T19:26:26","slug":"%d1%81%d0%be%d0%ba%d0%be%d0%bb%d1%8c%d1%87%d1%83%d0%ba-%d0%ba-%d1%96-%d0%b7%d0%b0%d1%81%d1%82%d0%be%d1%81%d1%83%d0%b2%d0%b0%d0%bd%d0%bd%d1%8f-%d1%80%d1%96%d0%b7%d0%bd%d0%b8%d1%85-%d0%bc%d0%b5%d1%82","status":"publish","type":"page","link":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/%d1%81%d0%be%d0%ba%d0%be%d0%bb%d1%8c%d1%87%d1%83%d0%ba-%d0%ba-%d1%96-%d0%b7%d0%b0%d1%81%d1%82%d0%be%d1%81%d1%83%d0%b2%d0%b0%d0%bd%d0%bd%d1%8f-%d1%80%d1%96%d0%b7%d0%bd%d0%b8%d1%85-%d0%bc%d0%b5%d1%82\/","title":{"rendered":"SOKOLCHUK K.I.  APPLICATION OF DIFFERENT SPATIAL INTERPOLATION METHODS TO HYDROLOGICAL DATA ON THE EXAMPLE OF THE PRIPYAT RIVER BASIN (WITHIN UKRAINE)"},"content":{"rendered":"\n<p><strong>DOI: <a href=\"https:\/\/doi.org\/10.17721\/2306-5680.2022.4.7\">https:\/\/doi.org\/10.17721\/2306-5680.2022.4.7<\/a><\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/issn2306-5680-%d0%b3%d1%96%d0%b4%d1%80%d0%be%d0%bb%d0%be%d0%b3%d1%96%d1%8f-%d0%b3%d1%96%d0%b4%d1%80%d0%be%d1%85%d1%96%d0%bc%d1%96%d1%8f-%d1%96-%d0%b3%d1%96%d0%b4%d1%80%d0%be%d0%b5%d0%ba%d0%be%d0%bb-11\/\" target=\"_blank\" rel=\"noreferrer noopener\">Hydrology, Hydrochemistry and Hydroecology. 2022. \u2116 4(66)<br><\/a><strong>Publication language: <\/strong>Ukrainian<br><strong>Authors:<br><\/strong>Sokolchuk K.I.,\u00a0Institute of Hydrology of the Slovak Academy of Sciences, Slovak Agricultural University in Nitra<\/p>\n\n\n\n<p><em>The article is devoted to the description and comparison of methods of spatial interpolation for hydrological data. Four spatial interpolation methods are considered: inverse distance weighted interpolation (IDW), triangulation (TIN), spline interpolation and Kriging. The data source is a permanent measuring hydrological network located on the territory of the Pripyat river basin and adjacent river basins, within the borders of Ukraine. Based on them, maps of the spatial distribution of the average annual specific discharge were created. Relief, physical and geographical conditions are changing smoothly, allowing spatial interpolation with sufficiently reliable results.<\/em><br><em>The accuracy of the obtained results was assessed by mathematical and visual comparison. According to both of them was established, that IDW method gives better and results for the interpolation of hydrological data on the studied territory. The isolines are quite smooth, no artifacts were noticed, the errors of the obtained values are small. IDW is also easy to use, changing inner settings, such as distant coefficient, could significantly decrease negative effects. A certain extrapolation of the data can also be an advantage.<\/em><br><em>The next most reliable method is the spline interpolation. The smoothest transitions between values and correspondingly extracted isolines, lack of artifacts make its results closer to the expected nature of changes in hydrological parameters. It can also be considered one of the most promising for implementation.<\/em><br><em>Kriging is characterized by small errors, but rather significant unnatural distortion of the results and the number of artifacts. It is valid for both spherical and exponential versions.<\/em><br><em>The TIN method was the least reliable among the studied methods. If it is necessary to clarify the data in the central parts of the territory over which the values are interpolated, it is better to use the linear version, which demonstrated slightly less distortion.<\/em><\/p>\n\n\n\n<p><strong><em>Keywords<\/em><\/strong><strong>: <\/strong><em>Spatial interpolation, GIS, IDW, TIN, Kriging, Spline, specific discharge, Pripyat.<\/em><em><\/em><\/p>\n\n\n\n<p><strong>References<\/strong>:<br>. Azpurua, M.A, Ramos K.D. Comparison of spatial interpolation methods for estimation of average electromagnetic field magnitude. Progress in Electromagnetics Research, Vol. 14, 2010. P. 135\u2013145.<br>2. Dzhalalvand A., Gaidukova E.V., Burlov V.G.et al. Applying methods of spatial interpolation to hydrological data on example of reception basin of Karun river (Iran). International Research Journal, 2019. \u21162 (80). URL: https:\/\/research-journal.org\/archive\/2-80-2019-february\/primenenie-metodov-prostranstvennoj-interpolyacii-k-gidrologicheskim-dannym-na-primere-vodosbora-r-karun-iran (accessed: 09.09.2022). doi: 10.23670\/IRJ.2019.80.2.006<br>3. ESRI. How Kriging works. ArcGIS for Desktop [Electronic resource] \/\/ Environmental Systems Research Institute, 2016. URL: https:\/\/desktop.arcgis.com\/en\/arcmap\/10.7\/tools\/3d-analyst-toolbox\/how-kriging-works.htm (accessed 01.10.2022)<br>4. Nabyvanets, Y., Osadcha, N., Hrebin, V., Vasylenko, Y., Koshkina, O. Development of draft river basin management plan for Dnipro river basin in Ukraine: phase 1, step 1\u00a0 Description of the characteristics of the river basin. EUWI+ Project. 2019.<br>5. Ghasemi, M., Mahdavi, A., Jafarzadeh A.A. Compare Kriging and IDW interpolation methods for soil mapping. The 2nd National Conference on Environment Hazard of Zagros, Tehran, 5 March 2015.<br>6. 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Palamarchuk M.M. Zakorchevna N.B. Vodnyi fond Ukrainy: Dovidkovyi posibnyk [Water fund of Ukraine: reference guide]. 2-e vyd., dop. Kyiv. Nika-Tsentr, 2006. 320 s.\u00a0<br>15. Sokolchuk K.I. Otsinka reprezentatyvnosti riadiv sposterezhen ta vybirkovykh parametriv rozpodilu serednoho richnoho stoku vody richok na pravoberezhnii chastyni baseinu Prypiati [Assessment of the representativeness of the series of observations and sample parameters of the distribution of the average annual water flow of rivers on the right bank of the Pripyat River basin]. Hidrolohiia, Hidrokhimiia, Hidroekolohiia. 2019. \u2116 2 (53) p. 31-37.<br>16. Susidko M. M., Lukianets O. I. Raionuvannia terytorii Ukrainy za stupenem hidrolohichnoi nebezpeky [Zoning of the territory of Ukraine according to the degree of hydrological danger] . Naukovi pratsi UkrNDHMI, 2004. Vyp. 253. s.196-200.<br>17. Shypulin V. D. Osnovni pryntsypy heoinformatsiinykh system: navch. Posibnyk [Basic principles of geographic information systems: a study guide]. Khark. nats. akad. misk. hosp-va. Kh.: KhNAMH, 2010. 313 s.<\/p>\n\n\n\n<p><a href=\"https:\/\/hydro-chemistry-ecology.knu.ua\/wp-content\/uploads\/2023\/01\/7-\u0413\u0413\u0413466.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">READ THE FULL ARTICLE<br><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"44\" class=\"wp-image-853\" style=\"width: 150px;\" src=\"https:\/\/hydro-chemistry-ecology.knu.ua\/wp-content\/uploads\/2021\/07\/downloadable-pdf-button-png-hd-image-png-all-download-pdf-png-5256_1535.png\" alt=\"\" srcset=\"https:\/\/hydro-chemistry-ecology.knu.ua\/wp-content\/uploads\/2021\/07\/downloadable-pdf-button-png-hd-image-png-all-download-pdf-png-5256_1535.png 5256w, https:\/\/hydro-chemistry-ecology.knu.ua\/wp-content\/uploads\/2021\/07\/downloadable-pdf-button-png-hd-image-png-all-download-pdf-png-5256_1535-300x88.png 300w, https:\/\/hydro-chemistry-ecology.knu.ua\/wp-content\/uploads\/2021\/07\/downloadable-pdf-button-png-hd-image-png-all-download-pdf-png-5256_1535-1024x299.png 1024w, https:\/\/hydro-chemistry-ecology.knu.ua\/wp-content\/uploads\/2021\/07\/downloadable-pdf-button-png-hd-image-png-all-download-pdf-png-5256_1535-768x224.png 768w, https:\/\/hydro-chemistry-ecology.knu.ua\/wp-content\/uploads\/2021\/07\/downloadable-pdf-button-png-hd-image-png-all-download-pdf-png-5256_1535-1536x449.png 1536w, https:\/\/hydro-chemistry-ecology.knu.ua\/wp-content\/uploads\/2021\/07\/downloadable-pdf-button-png-hd-image-png-all-download-pdf-png-5256_1535-2048x598.png 2048w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a><\/p>\n\n\n\n<p>HOW TO CITE<\/p>\n\n\n\n<p>Sokolchuk, K.I. (2022). Application of different spatial interpolation methods to hydrological data on the example of the Pripyat river basin (within Ukraine). <em>Hidrolohiia, hidrokhimiia i hidroekolohiia<\/em> [Hydrology, Hydrochemistry and Hydroecology], 4(66), 59-67 (in Ukrainian, abstr. in English). https:\/\/doi.org\/10.17721\/2306-5680.2022.4.7.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>DOI: https:\/\/doi.org\/10.17721\/2306-5680.2022.4.7 Hydrology, Hydrochemistry and Hydroecology. 2022. \u2116 4(66)Publication language: UkrainianAuthors:Sokolchuk K.I.,\u00a0Institute of Hydrology of the Slovak Academy of Sciences, Slovak Agricultural University in Nitra The article is devoted to the description and comparison of methods of spatial interpolation for [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1310","page","type-page","status-publish","hentry"],"translation":{"provider":"WPGlobus","version":"3.0.0","language":"en","enabled_languages":["uk","en"],"languages":{"uk":{"title":true,"content":true,"excerpt":false},"en":{"title":true,"content":true,"excerpt":false}}},"_links":{"self":[{"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/pages\/1310","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/comments?post=1310"}],"version-history":[{"count":2,"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/pages\/1310\/revisions"}],"predecessor-version":[{"id":1313,"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/pages\/1310\/revisions\/1313"}],"wp:attachment":[{"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/media?parent=1310"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}