Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32759
District Selection for Geotechnical Settlement Suitability Using GIS and Multi Criteria Decision Analysis: A Case Study in Denizli, Turkey

Authors: Erdal Akyol, Mutlu Alkan, Ali Aydin

Abstract:

Multi criteria decision analysis (MDCA) covers both data and experience. It is very common to solve the problems with many parameters and uncertainties. GIS supported solutions improve and speed up the decision process. Weighted grading as a MDCA method is employed for solving the geotechnical problems. In this study, geotechnical parameters namely soil type; SPT (N) blow number, shear wave velocity (Vs) and depth of underground water level (DUWL) have been engaged in MDCA and GIS. In terms of geotechnical aspects, the settlement suitability of the municipal area was analyzed by the method. MDCA results were compatible with the geotechnical observations and experience. The method can be employed in geotechnical oriented microzoning studies if the criteria are well evaluated.

Keywords: GIS, spatial analysis, multi criteria decision analysis, geotechnics.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1097180

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2156

References:


[1] Saaty T.L., Fundamentals of Decision Making and Priority Theory, RWS Pub., Pittsburgh, 2000.
[2] Triantaphyllou E. and Sanchez A., “A sensitivity analysis approach for some deterministic multi-criteria decision-making methods”, Decision Sciences, 28/1, 151-194, 1997.
[3] Malczewski J., GIS and Multicriteria Decision Analysis, Wiley & Sons, Toronto, 1999.
[4] Kahraman C., Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments, Springer, New York, 2008.
[5] Ho W., Xu X. and Dey P.K., “Multi-criteria decision making approaches for supplier evaluation and selection: a literature review”, European Journal of Operational Research, 202/1, 16–24, 2010.
[6] Joerin, F., Theriault M. and Musy A., “Using GIS and outranking multicriteria analysis for land-use suitability assessment”, International Journal of Geographical Information Science, 15(2), 153-174, 2001.
[7] Mendoza G.A. and H. Martins, “Multi-criteria decision analysis in natural resource management: A critical review of methods and new modelling paradigms”, Forest Ecology and Management, 230/1–3, 1– 22, 2006.
[8] Makropoulos C.K. and Butler D., “Spatial ordered weighted averaging: incorporating spatially variable attitude towards risk in spatial multicriteria decision-making”, Environmental Modelling & Software, 21/1, 69–84, 2006.
[9] Karnatak, H. C., Saran S., Bhatia K. and Roy P. S., “Multicriteria spatial decision analysis in web GIS environment”, Geoinformatica, 11,407– 429, 2007.
[10] Greene R., Devillers R., Luther J. E., and Eddy B. G., “GIS-based multiple-criteria decision analysis”, Geography Compass, 5/6, 412–432, 2011.
[11] Moeinaddini M., Khorasani N., Danehkar A., Darvishsefat A.A. and Zienalyan M., “Siting MSW landfill using weighted linear combination and analytical hierarchy process (AHP) methodology in GIS environment (case study: Karaj)”, Waste Management, 30/5, 912–920, 2010.
[12] Sener S., Sener E. and Karagüzel R., “Solid waste disposal site selection with GIS and AHP methodology: a case study in Senirkent–Uluborlu (Isparta) Basin”, Turkey, Environ Monit Assess, 173, 533–554, 2011.
[13] Store R. And Kangas K., “Integrating spatial multi-criteria evaluation and expert knowledge for GIS-based habitat suitability modelling”, Landscape and Urban Planning, 55/2, 79–93, 2001.
[14] Dai F.C., Lee C.F. and Zhang X.H, “GIS-based geo-environmental evaluation for urban land-use planning: a case study”, Engineering Geology, 61/4, 257–271, 2001.
[15] Kolat Ç., Doyuran V., Ayday C. and Süzen M.L., “Preparation of a geotechnical microzonation model using Geographical Information Systems based on Multicriteria Decision Analysis”, Engineering Geology, 87/3–4, 241–255, 2006.
[16] Akgün A. and Bulut F., “GIS-based landslide susceptibility for Arsin- Yomra (Trabzon, North Turkey) region”, Environ. Geol. 51, 1377–1387, 2007.
[17] Yalcin A., “GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations”, Catena, 72/1, 1–12, 2008.
[18] PAU-JEO, Geological, Geotechnical and Hydrogeological Characteristics of Denizli Municipality, Report (in Turkish), Pamukkale University, 2002.
[19] Saaty T. L., The Analytic Hierarchy Process, McGraw-Hill, New York, 1980.