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Comparison of depression removal methods implemented in open-source software

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Języki publikacji
EN
Abstrakty
EN
Modern tools for hydrological analysis are based on data derived from DEM. Hydrological methods that create a stream network by overland flow simulation require to remove depression (pit or sink) on DEM first. Depression occurs when a cell or group of cells is surrounded by adjacent cells at higher altitudes. Even though their removal creates an incorrect DEM, it is common practice to remove all topographic depressions (real, artificial, or combined) not to interrupt the creation of stream networks. There are two basic methods of depression removal: the filling method and the carving or breaching. Combined methods contain good characteristics of both procedures. GIS software includes a depression removal algorithm within its hydrological analysis module. The paper investigates which methods are implemented within individual open-source software SAGA and GRASS. A comparison of DEM before and after depression removal for each method is given. The methods were tested on a DEM, resolution 5x5 meter for a hilly area intersected by a significant number of watercourses.
Czasopismo
Rocznik
Strony
85--97
Opis fizyczny
Bibliogr. 18 poz.
Twórcy
  • University North, Department of Geodesy and Geomatics, Croatia
  • University North, Department of Geodesy and Geomatics, Croatia
autor
  • University North, Department of Geodesy and Geomatics, Croatia
autor
  • University North, Department of Civil Engineering, Croatia
Bibliografia
  • 1. Biggs J.,von Fumetti S., Kelly-Quinn M. (2017). The importance of small waterbodies for biodiversity and ecosystem services: Implications for policy makers. Hydrobiologia, 793(1), pp. 3-39.
  • 2. Bosner N. (2013). Interpolacija i aproksimacija splajnovima, Interna skripta. (Interpolation and approximation with splines, Internal script). Department of Mathematics, PMF, Zagreb, http://web.math.pmf.unizg.hr/~nela/nmfmpredavanja/nmfm_splajnovi.pdf [access: 05.11.2013].
  • 3. Brenning A. (2017). SAGA Geoprocessing and Terrain Analysis in RSAGA. https://cran.r-project.org/web/packages/RSAGA/vignettes/RSAGA-landslides.pdf [access: 29.01.2017].
  • 4. Frančula N., Lapaine M. (2008): Geodetsko-geoinformatički rječnik (Geodetic- geoinformatics dictionary). State Geodetic Administration of the Republic of Croatia, Zagreb.
  • 5. Grimaldi S., Nardi F., Di Benedetto F., Istanbulluoglu E., Bras R.L. (2007). A physically- based method for removing pits in digital elevation models. Advances in Water Resources, vol. 30, no. 10, pp. 2151-2158.
  • 6. Hengl T., Hannes I.R. (2009). Geomorphometry: Conepts, Softvare, Applications. Elsevier, Oxford.
  • 7. Lindsay J.B., Creed I.F. (2005). Removal of artifact depressions from digital elevation models: towards a minimum impact approach. Hydrological Processes, no. 19, pp. 3113-3126.
  • 8. Lindsay J.B. (2016): Efficient hybrid breaching-filling sink removal methods for flow path enforcement in digital elevation models, Hydrological Processes, 30(6), pp. 846-857.
  • 9. O’Callaghan J.F., Mark D.M. (1984). The extraction of drainage networks from digital elevation data. Computer Vision, Graphics, and Image Processing, vol. 28, no. 3, pp. 323-344.
  • 10. Pastor-Martín C., Antón L., C., Fernández-González C. (2017). Matlab-based tool for drainage network ordering by horton and hack hierarchies, Primer Congreso en Ingeniería Geomática. Valencia, pp. 162-170.
  • 11. Planchona O., Darboux F. (2001). A fast, simple and versatile algorithm to fill the depressions of digital elevation models. Catena, no. 46, pp. 159-176.
  • 12. Šamanović S., Medak D., Kunštek D. (2017). Influence of pit removal algorithms on surface runoff simulation. Građevinar, no. 69, 183-198.
  • 13. Šamanović S. (2013). The influence of algorithms for pit removal on the reliability of a digital elevation model. Doctoral thesis. Faculty of Geodesy, Zagreb.
  • 14. Tarboton D.G., Bras R.L., Rodriguez Iturbe I. (1991). On the extraction of channel networks from digital elevation data. Hydrological Processes, vol. 5, no. 1, pp. 81-100.
  • 15. URL1: https://dgu.gov.hr/proizvodi-i-usluge/podaci-topografske-izmjere/digitalni- model-reljefa/180 [access: 09.06.2022].
  • 16. URL2: https://saga-gis.sourceforge.io/saga_tool_doc/2.2.3/ta_preprocessor_5.html [access: 09.06.2022].
  • 17. URL3: https://www.whiteboxgeo.com/ [access: 16.07.2022].
  • 18. Wang L., Liu H. (2006). An efficient method for identifying and filling surface depressions indigital elevation models for hydrologic analysis and modelling. International Journal of Geographical Information Science, vol 20, no. 2, pp. 193-213.
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-fb2c9e02-60ab-46a6-9d9e-f516ab4259cf
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