Probabilistic evaluation of the extent of the unconfined aquifer

• Autorzy: Kachnic M. , Sadurski A.
• Języki publikacji: EN

Abstrakty

EN

The research mainly aimed to present a novel application of the technique based on the Dempster-Shafer theory for the determination of the aquifer extent in a nonparametric (probabilistic) scale. Data analyses were carried out in the Geographic Information System. All the data were imported to the IDRISI 32 release 2. The Dempster-Shafer probability theory supported by the module BELIEF of IDRISI software was applied to the algebra of pixel maps. The research area covers 1300 km^2 in the eastern part of the Pomeranian Lakeland. The geology of this area is dominated by Pleistocene postglacial sediments. The study area comprises unconfined aquifers and four main confined aquifers. Only the unconfined aquifers were taken into account in the study described in these paper. The resulting image showed a map of the aquifers’ extents in a probabilistic scale, i.e., in a range between 0 (lack of the aquifer confirmed by field research) and 1 (occurrence of the aquifer, also proved by research).

Słowa kluczowe

EN

Dempster-Shafer theory; fuzzy logic; probabilistic scale; nonparametric maps; aquifer extent

• Wydawca: Państwowy Instytut Geologiczny - Państwowy Instytut Badawczy
• Czasopismo: Przegląd Geologiczny
• Rocznik: 2005
• Tom: Vol. 53, nr 10/2
• Strony: 930--934
• Opis fizyczny: Bibliogr. 14 poz., wykr.

Twórcy

autor

Kachnic M.

• Faculty of Biology and Earth Science, Nicholas Copernicus University, Sienkiewicza 4, 87-100 Toruń, Poland

autor

Sadurski A.

• Faculty of Biology and Earth Science, Nicholas Copernicus University, Sienkiewicza 4, 87-100 Toruń, Poland

Bibliografia

• 1. BRUNDSON C. 1995 - Estimating probability surfaces for geographical point data: an adoptive kernel algorithm. Computer and Geosciences, 21: 877-894.
• 2. BUTRYMOWICZ N., MURAWSKI T. & PASIERBSKI M. 1978 - Mapa geologiczna Polski w skali 1 : 200 000 - Arkusz Chojnice. Wyd. Geol., Warszawa.
• 3. EASTMAN J.R. 1999a - IDRISI guide to GIS Image Processing, Clark University, vol. 2: 41.
• 4. EASTMAN J.R. 1999b - IDRISI guide to GIS Image Processing, Clark University, vol. 1: 126.
• 5. FISHER P.F. 1999 - Models of uncertainty in spatial data. [In:] Longley P.A., Goodchild M.F., Maguire D.J. & Rhind D. (ed.), Geographical Information Systems: Principles and Technical Issues. John Wiley and Sons, New York, p. 191-205.
• 6. HÖLTING B. 1996 - Hydrogeologie, 3rd ed. Enke Verlag, Stuttgart.
• 7. KLIR G.J. & YUAN B. 1995 - Fuzzy sets and fuzzy logic: theory and applications. [In:] Malczewski J. 1999, GIS and multicriteria decision analysis. John Wiley and Sons, New York, p. 129.
• 8. LEE N.S., GRIZE Y.L. & DEHNAD K. 1987 - Quantitative Models for Reasoning Under Uncertainty in Knowledge-Based Expert Systems. International Journal of Intelligent Systems, no. 2: 15-38.
• 9. LEUNG Y. & LEUNG K.S. 1993 - An intelligent expert system shell for knowledge-based geographical information system. International Journal of Geographical Information Systems, 7: 189-213.
• 10. MALCZEWSKI J. 1999 - GIS and multicriteria decision analysis. John Wiley and Sons, New York, p. 129.
• 11. PACZYŃSKI B., RAZOWSKAL. & SADURSKI A. 1999 -Aquifers risk assessment by considering their vulnerability presented on the Hydrogeological map of Poland. [In:] M. Fendeková & M. Fendek (ed.), Proc. XXIX IAH Congress, Bratislava, p. 93-99.
• 12. PAZDRO Z. & KOZERSKI B. 1990 - Hydrogeologia ogólna. Wyd. Geol., Warszawa.
• 13. SHAFER G. 1976 - Mathematical theory of evidence. Princeton NJ: Princeton University Press.
• 14. ZADEH L. 1965 - Fuzzy sets. Information and Control, 8: 338-353.