The extent of the unconfined aquifer based on the Dempster-Shafer theory on the example of postglacial sandur area

• Autorzy: Kachnic M.
• Konferencja: Groundwater quality sustainability : XXXVIII IAH Congress in Kraków
• Języki publikacji: EN

Abstrakty

EN

The research aimed to present an application of the technique based on the Dempster-Shafer theory for the determination of the shallow unconfined aquifer extent in a nonparametric (probabilistic) scale. The geology of research area is predominantly composed of the Pleistocene postglacial sediments. Only 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 (the lack of the aquifer, which is confirmed by research) and 1 (confirms the occurrence of the aquifer proved by research). Data analyses were carried out in the Geographic Information System. All the data were imported to the IDRISI. The Dempster-Shafer probability theory supported by the module BELIEF of IDRISI software was applied to the algebra of pixel maps.

Słowa kluczowe

EN

unconfined aquifer; shallow aquifer; Dempster-Shafer theory; probabilistic

• Wydawca: Państwowy Instytut Geologiczny - Państwowy Instytut Badawczy
• Czasopismo: Biuletyn Państwowego Instytutu Geologicznego
• Rocznik: 2010
• Tom: nr 441 Hydrogeologia z. 10
• Strony: 55--61
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Kachnic M.

• Nicolaus Copernicus University in Toruń, Departure of Geology and Hydrogeology, Gagarina 9, 87-100 Toruń, Poland

Bibliografia

• 1. BER A., 2005 — The Detailed Geological Map of Poland 1:50,000: the history, present and future. Prz. Geol., 53, 10/2: 903–906.
• 2. CABALSKA J., FELTER A., HORDEJUK M., MIKOŁAJCZYK A., 2005 — The Polish Hydrogeological Survey Database Integrator– a new GIS tool for the hydrogeological database management useful in mapping process. Prz. Geol., 53, 10/2: 917–920.
• 3. EASTMAN J.R., 1999a — IDRISI guide to GIS and image processing, vol. 2: 41. Clark Labs – Clark University Massachusetts. Manual.
• 4. EASTMAN J.R., 1999b — IDRISI guide to GIS and image processing, vol. 1: 126. Clark Labs – Clark University Massachusetts. Manual.
• 5. FERT M., MORDZONEK G., WĘGLARZ D., 2005 — The management and data distribution system of the Hydrogeological Map of Poland 1:50,000. Prz. Geol., 53, 10/2: 940–941.
• 6. HERBICH P., 2005 – Hydrogeological Map of Poland 1:50,000 – present state and development of computer data base. Prz. Geol., 53, 10/2: 924–929.
• 7. JANKOWSKI M., WALCZAK M., 2005 — Hydrogeological Map of Poland in a scale 1:50,000 – first aquifer, extent and hydrodynamics. Łąg sheet. Polish Geol. Inst., Warsaw [in Polish].
• 8. KLIR G.J., YUAN B., 1995 — Fuzzy sets and fuzzy logic: theory and applications. Prentice Hall. New Jersey.
• 9. 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, 2: 15–38.
• 10. LEUNG Y., LEUNG K.S., 1993 — An intelligent expert system shell for knowledge-based geographical information system. International Journal of Geographical Information Systems, 7, 3: 189–213.
• 11. MALCZEWSKI J., 1999 – GIS and multicriteria decision analysis. John Wiley and Sons, New York.
• 12. PRUSSAK E., 2000 — Mapa hydrogeologiczna Polski w skali 1:50 000, ark. Łąg z objaśnieniami. Państw. Inst. Geol., Warszawa.
• 13. SHAFER G., 1976 — Mathematical theory of evidence. Princeton University Press.
• 14. TRZEPLA M., DROZD M., 2005 — Szczegółowa mapa geologiczna Polski w skali 1:50 000, ark. Łąg. Państw. Inst. Geol., Warszawa.
• 15. ZADEH L., 1965 — Fuzzy sets. Information and Control, 8,3: 338–353.