Jump to ContentJump to Main Navigation
Show Summary Details

Polish Polar Research

The Journal of Committee on Polar Research of Polish Academy of Sciences

4 Issues per year


IMPACT FACTOR 2015: 1.182
5-year IMPACT FACTOR: 1.242

SCImago Journal Rank (SJR) 2015: 0.556
Source Normalized Impact per Paper (SNIP) 2015: 0.645
Impact per Publication (IPP) 2015: 1.183

Open Access
Online
ISSN
2081-8262
See all formats and pricing

Bathymetry and geographical regionalization of Brepollen (Hornsund, Spitsbergen) based on bathymetric profiles interpolations

Mateusz Moskalik
  • Instytut Geofizyki, Polska Akademia Nauk, ul. Księcia Janusza 64, 01−452 Warszawa, Poland
  • Email:
/ Piotr Grabowiecki
  • Instytut Geofizyki, Polska Akademia Nauk, ul. Księcia Janusza 64, 01−452 Warszawa, Poland
  • Email:
/ Jarosław Tęgowski
  • Wydział Oceanografii i Geografii, Uniwersytet Gdański, Al. M. Piłsudskiego 46, 81−378 Gdynia, Poland
  • Email:
/ Monika Żulichowska
  • Wydział Biologii i Nauk o Ziemi, Uniwersytet Jagielloński, ul. Gronostajowa 7, 30−387 Kraków, Poland
  • Email:
Published Online: 2013-02-26 | DOI: https://doi.org/10.2478/popore-2013-0001

Abstract

Determination of High Arctic regions bathymetry is strictly dependent from weather and ice mass quantity. Due to safety, it is often necessary to use a small boat to study fjords area, especially close to glaciers with unknown bathymetry. This precludes the use of modern multi−beam echosounders, and so traditional single−beam echosounders have been used for bathymetry profiling. Adequate interpolation techniques were determined for the most probable morphological formations in−between bathymetric profiles. Choosing the most accurate interpolation method allows for the determination of geographical regionalisation of submarine elevations of the Brepollen area (inner part of Hornsund, Spitsbergen). It has also been found that bathymetric interpolations should be performed on averaged grid values, rather than individual records. The Ordinary Kriging Method was identified as the most adequate for interpolations and was compared with multi beam scan− ning, which was possible to make due to a previously modelled single beam interpolation map. In total, eight geographical units were separated in Brepollen, based on the bathy− metry, slope and aspect maps. Presented results provide a truly new image of the area, which allow for further understanding of past and present processes in the High Arctic.

Keywords: Arctic; Svalbard; Hornsund; bathymetry; kriging interpolation

  • BŁASZCZYK M., JANIA J.A. and HAGEN J.O. 2009. Tidewater glaciers of Svalbard: Recent changes and estimates of calving fluxes. Polish Polar Research 30 (2): 85-142.

  • CHAPLOT V.,DARBOUX F., BOURENNANE H., LEGUEDOIS S., SILVERAAND N. and PHACHOMPHON K. 2006. Accuracy of interpolation techniques for the derivation of digital elevation models in relation to landform types and data density. Geomorphology 77: 126-141.

  • DOWDESWELL J.A., HOGAN K.A., EVANS J., NOORMETS R., O’COFAIGH C. and OTTESEN D. 2010. Past ice−sheet flow east of Svalbard inferred from streamlined subglacial landforms. Geology 38 (2): 163-166. [Web of Science] [Crossref]

  • FORWICK M. 2007. Marine−geological cruise to west Spitsbergen fjords. Cruise Report N−9037. De− partment of Geology, University of Tromsø: 21 pp.

  • FORWICK M., BAETEN N.J. and VORREN T.O. 2009. Pockmarks in Spitsbergen fjords. NorwegianJournal of Geology 89: 65-77.

  • GŁOWACKI P. and JANIA J.A. 2008. Nature of rapid response of glaciers to climate warming in Southern Spitsbergen, Svalbard. In: The First International Symposium on the Arctic Research,Drastic Change under Global Warming. Miraikan, Tokyo: 257-260.

  • GOLUCH P., DOMBEK A. and KAPLON J. 2010. Evaluation of data accuracy obtained from bathy− metric measurement using fishinder Lowrance LMS−527C DF iGPS. Archiwum Fotogrametrii,Kartografii i Teledetekcji 21: 109-118 (in Polish).

  • GÖRLICH K. 1986. Glacimarine sedimentation of muds in Hornsund fjord, Spitsbergen. Annales Societatis Geologorum Poloniae 56: 433-477.

  • HERZFELD U.C., KIMAND I.I. and ORCUTT J.A. 1995. Is the Ocean Floor a Fractal? Mathematical Geology 27 (3): 421-462. [Crossref]

  • HEYMAN W.D., ECOCHARDAND J.−L.B. and BIASI F.B. 2007. Low−cost bathymetric mapping for tropical marine conservation - a focus on reef fish spawning aggregation sites. Marine Geodesy 30: 37-50. [Web of Science]

  • JAMES L.A. 1996. Polynomial and power functions for glacial valley crosssection morphology. Earth Surface Processes and Landforms 21: 413-432. [Crossref]

  • KOLONDRA L. 2010. Satellite orthophotomap of a part of South Spitsbergen, Svalbard. University of Silesia, Faculty of Earth Sciences, Sosnowiec.

  • KRIVORUCHKO K. 2001. Using linear and non−linear kriging interpolators to produce probability maps. In: Annual Conference of the International Association for Mathematical Geology (IAMG2001), Cancun, Mexico. http://faculty.mu.edu.sa/public/uploads/1338413539.2214GIS30.pdf.

  • LEGLEITER C.J. and KYRIAKIDIS P.C. 2008. Spatial prediction of river channel topography by kriging. Earth Surface Processes and Landforms 33: 841-867. [Web of Science]

  • MAJDAŃSKI M. 2012. The structure of the crust in TESZ area by Kriging interpolation. ActaGeophysica 60 (1): 59-75.

  • MERWADE V. 2009. Effect of spatial trends on interpolation of river bathymetry. Journal of Hydrol−ogy 371: 169-181. [Web of Science]

  • MOSKALIK M. and BIALIK R.J. 2011. Statistical analysis of topography of Isvika Bay, Murchison− fjorden, Svalbard. In: P. Rowiński (ed.) GeoPlanet: Earth and Planetary Sciences, Experimental Methods in Hydraulic Research, 1st ed. Springer, Berlin Heidelberg: 225-233.

  • MOSKALIK M., PASTUSIAK T. and TĘGOWSKI J. 2012. Multi beam bathymetry and slopes stability of Isvika Bay, Murchisonfjorden, Nordaustlandet. Marine Geodesy 35 (4): 389-398. [Web of Science] [Crossref]

  • OTTESEN D. and DOWDESWELL J.A. 2006. Assemblages of submarine landforms produced by tide− water glaciers in Svalbard. Journal of Geophysical Research v. 111, F01016.

  • OTTESEN D. and DOWDESWELL J.A. 2009. An inter−ice−stream glaciated margin: Submarine land− forms and a geomorphic model based on marine−geophysical data from Svalbard. GeologicalSociety of America Bulletin 121: 1647-1665. [Web of Science]

  • OTTESEN D., DOWDESWELL J.A., LANDVIK J.Y. and MIENERT J. 2007. Dynamics of the Late Weichselian ice sheet on Svalbard inferred from high−resolution sea−floor morphology. Boreas 36: 286-306. [Web of Science] [Crossref]

  • OTTESEN D., DOWDESWELL J.A., BENN D.I., KRISTENSEN L., CHRISTIANSEN H.H., CHRISTENSEN O., HANSEN L., LEBESBYE E., FORWICK M. and VORREN T.O. 2008. Submarine landforms character− istic of glacier surges in two Spitsbergen fjords. Quaternary Science Reviews 27: 1583-1599. [Web of Science] [Crossref]

  • PASTUSIAK T. 2010. Issues of non−researched marine regions coverage by electronic maps. Logistics,transportation systems, safety in transport 2: 2069-2086 (in Polish).

  • PÄLLI A.,MOORE J.C., JANIA J.A. andGŁOWACKI P. 2003. Glacier changes in southern Spitsbergen, Svalbard, 1901-2000. Annals of Glaciology 37: 219-225. [Crossref]

  • RUDOWSKI S. and MARSZ A. 1998. Characteristics of bottom relief and deposit cover in contempo− rary developing fjord on the example of Hornsund (Spitsbergen) and Admiralty Bay (West Antarctica). In: A. Styszyńska (ed.) Research of Faculty of Navigation of Gdynia Maritime Uni−versity, Vol. III, WSM Academic Publishing, Gdynia: 39-81 (in Polish).

  • SCHMIDT J., EVANSAND I.S. and BRINKMANN J. 2003. Comparison of polynomial models for land surface curvature calculation. International Journal of Geographical Information Science 17 (8): 797-814. [Crossref]

  • SNEED W.A. 2007. Satellite remote sensing of arctic glacier - climate interactions. MSc dissertation, University of Maine, Orono: 83 pp.

  • Statens Kartverk 2008. Paper chart 526, Hornsund, scale 1:50 000. Statens kartverk Sjø, Stavanger.

  • The Norwegian Hydrographic Service and Norwegian Polar Research Institute 1990. Den NorskeLos. Arctic Pilot, Vol. 7, 2nd edition: 433 pp.

  • United Kingdom Hydrographic Office. 2007. NP11 Arctic Pilot Edition 2004, 2007 Correction.

  • WHITE L. 2003. Rivers bathymetry analysis in the presence of submerged large woody debris. Master of Engineering dissertation, The University of Texas, Austin: 157 pp.

  • WHITE L. and HODGES B.R. 2005. Filtering the signature of submerged large woody debris from bathymetry data. Journal of Hydrology 309: 53-65.

About the article

Published Online: 2013-02-26

Published in Print: 2013-03-01


Citation Information: Polish Polar Research, ISSN (Online) 2081-8262, ISSN (Print) 0138-0338, DOI: https://doi.org/10.2478/popore-2013-0001. Export Citation

This content is open access.

Citing Articles

Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.

[1]
Anna Drewnik, Jan Marcin Węsławski, Maria Włodarska-Kowalczuk, Magdalena Łącka, Agnieszka Promińska, Agata Zaborska, and Marta Gluchowska
Polar Biology, 2016
[2]
Monika W. Staszek and Mateusz J. Moskalik
Open Geosciences, 2015, Volume 7, Number 1
[4]
Mateusz Moskalik, Małgorzata Błaszczyk, and Jacek Jania
Geomorphology, 2014, Volume 206, Page 262

Comments (0)

Please log in or register to comment.
Log in