Using the analytic hierarchy process to create an erosion risk map. A case study in Malakasiotiko stream, Trikala perfecture

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Published: Jan 1, 2007
DOI: https://doi.org/10.12681/bgsg.17205
Keywords:
GIS multi-criteria analysis erosion land-use planning
G. Bathrellos
National and Kapodistrian University of Athens, Faculty of Geology and Geoenvironment, Department of Geography - Climatology
H. Skilodimou
National and Kapodistrian University of Athens, Faculty of Geology and Geoenvironment, Department of Geography - Climatology
Abstract

This study is aimed at the evaluation of the erosion risk at the drainage basin of Malakasiotiko stream in Trikala prefecture, using a Geographic Information System (GIS). A database from six factors that influence erosion namely slope, lithology, drainage density, tectonic features density, land use and rainfall inserted into GIS. Each factor was grouped in various classes. A method known as Analytic Hierarchy Process (ΑΗΡ) was applied to rate the individual classes of each factor and weight the impact of one factor against the other in order to determination their importance to erosion process. The results of the ΑΗΡ application in combination with GIS techniques were used to estimate the overall erosion risk and create the erosion risk map. The study area was divided into three zones of erosion risk. High erosion risk zones are mostly located on the northwest, west and south parts of the drainage basin of Malakasiotiko stream. The erosion risk map of the study area can be a useful geologic and géomorphologie criterion for the land use planning.

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  • New Technologies in Geophysical and Geological Research
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References
Aubouin, J., 1961. Geological map, Pramanta sheet, scale 1:50000, IGME publications. Ayalew L, Yamagishi H., and Ugawa N., 2004. Landslide susceptibility mapping using GIS-based linear combination, the case in Tsugawa area of Agano River, Niigata Perfecture, Japan, Lanslides 1, 73-81.
Bathrellos, G., 2005. Geological, geomorphological and geographic study of urban areas in Trikala Prefecture - Western Thessaly, PhD Thesis, National and Kapodistrian Univ. Athens, Greece, 567pp.
Bossard, M., Feranec, J., and OtaheL, J., 2000. CORINE land cover technical guide – Addendum 2000, European Environment Agency, Copenhagen, 104pp.
Drake, P.R., 1998. Using the Analytic Hierarchy Process in Engineering Education, Int. J. Enging. Ed., 14(3), 191-196.
Harrald, J., Renda-Tanali, I., Shaw, G., Rubin, C., and Yeletaysi, S., 2004. Review of risk based prioritization/decision making methodologies for dams, Institute for Crisis, Disaster and Risk Management, George Washington University, 42pp.
Johnson, P., and Christopherson, G., 2005. Using the Analytic Hierarchy process to create a wildfire model, ESRI International User Conference Proceeding, http://gis. esri. com/library/userconf/proc05/papers/pap 1403 .pdf
Julien, P.Y., 1998. Erosion and Sedimentation, Cambridge University Press 280 pp.
Koumantakis, J., and Mataragas, D., 1980. Geological map, Panagia sheet, scale 1:50000, IGME publications.
Lee, S., 2003. Soil erosion assessment and its verification using the Universal Soil Loss Equation and Geographic Information System: a case study at Boun, Korea, Environmental Geology, 45,457-465.
Mati, B.M., Morgan, R.P.C, Gichuk, F.N., Quintor, J.N., Brewer, T.R., and Liniger, H.P., 2000. Assessment of erosion hazard with the USLE and GIS: A case study of the Upper Ewaso Ng'iro North basin of Kenya, International Journal of Applied Earth Observation and Geo information 2 (2), 78-86.
Morgan, R.P.C., 1995. Soil Erosion and Conservation, Longman, 198pp.
Saaty, T., and Vargas, L., 2001 Models, methods, concepts and applications of the Analytic Hierarchy process, Kluwer's International Series, 352pp.
Saaty, T., 1988. The Analytic Hierarchy Process: planning, priority setting, resource allocation, RWS publications, Pittsburgh, 287pp.
Shrestha, D.P., Zinck, J.A., and Van Ranst, E., 2004. Modelling land degradation in the Nepalese Himalaya, Catena, 57, 135 - 156.
Silleos, G., Moutziki, E., and Perakis, K., 2004. Development of an algorithm for solving a linear model based on weighted multi-criteria for spatial data analysis applications, Geographies, 8, 79-88.
Sujatha, G., Dwivedi, R.S., Sreenivas, K., and Venkataratnam, L., 2000. Mapping and monitoring of degraded lands in part of Jaunpur district of Urtar Pradesh using temporal spaceborne multispectral data, Int. J. Remote Sensing 21(3), 519-531.
Svorin, J., 2003. A test of three soil erosion models incorporated into a geographical information system, Hydrol. Process, 17, 967-977.
Vaidyanathan, N.S., Sharma, G., Sinha, R., and Dikshit, O., 2002. Mapping of erosion intensity in the Garhwal Himalaya, Int. J. Remote Sensing 23(20), 4125-4129.
Wachal, D., and Hudak, P., 2000. Mapping landslide susceptibility in Travis County, Texas, USA, GeoJournal, 51, 245-253.
Zinck, J.A., Lopez, J., Metternicht, G., Shrestha, D.P., and Vazquez-Salem, L., 2001. Mapping and modelling mass movements and gullies in mountainous areas using remote sensing and GIS techniques, International Journal of Applied Earth Observation and Geo information 3 (1), 43-53.