A fuzzy-based tool for spatial reasoning: A Case study on soil erosion hazard prediction

Proceedings of ACCURACY 2006 - 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences

Volumn , Issue , 2006, Pages 719-729

  Akyurek, Zuhal ^a   Okalp, Kivanç ^a  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Fuzzy logic; Soil erosion; Spatial reasoning; Uncertainty; USLE

Indexed keywords

ALGEBRA; CASE BASED REASONING; COMPUTATIONAL LINGUISTICS; COMPUTER CIRCUITS; CONSUMER PRODUCTS; DECISION MAKING; DECISION THEORY; ENVIRONMENTAL ENGINEERING; EROSION; FUZZY LOGIC; FUZZY SETS; GEOGRAPHIC INFORMATION SYSTEMS; HAZARDS; LINGUISTICS; NATURAL RESOURCES; RECONFIGURABLE HARDWARE; SEDIMENT TRANSPORT; SEMANTICS; SET THEORY; SOILS;

DECISION-MAKING SYSTEMS; ENVIRONMENTAL PHENOMENA; LINGUISTIC VARIABLE CONCEPT; SOIL EROSION; SPATIAL REASONING; UNCERTAINTY; UNIVERSAL SOIL LOSS EQUATION; USLE;

FUZZY SET THEORY;

EID: 48749115267     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Ahamed, T.R.N., Rao, G.K., Murthy, J.S.R., 2000, Fuzzy class membership approach to soil erosion modelling, Agricultural Systems, 63, pp.97-110.
2. FAO, UN Food and Agriculture Organization, http://www.fao.org, visited on December 4th, 2001.
3. Esengin, E., 2002, Integration of Geographic Information Systems with Environmental Impact Assessment: A Case Study on Çamli Dam, MSc Thesis, METU.
4. GDREC, General Directorate of Reforestation and Erosion Control, http://www.agm.gov.tr, visited on December 6th, 2001.
5. Hickey, R, A. Smith, and P. Jankowski, 1994, Slope length calculations from a DEM within ARC/INFO GRID, Computers, Environment and Urban Systems, v. 18, no. 5, pp. 365-380.
6. Maiers, J. and Sherif, Y. S., 1985. Applications of Fuzzy Set Theory, IEEE Trans. Systems, Man, and Cybernetics, SMC-15, (1), pp. 175-189.
7. Mendel, J. M., 1995. Fuzzy Logic Systems for Engineering: A Tutorial, IEEE Proc., 83 (3), pp. 345-377.
8. Metternicht, G., Gonzales, S., 2005, FUERO: foundation of a fuzzy exploratory model for soil erosion hazard predict, Environmental Modelling & Software 20, pp. 715-728.
9. Mitra, B., Scott, H.D., Dixon, J.C. and McKimmey, J.M., 1998, Applications of fuzzy logic to the prediction of soil erosion in a large watershed, Geoderma, v. 86, pp. 183-209.
10. Moore, I. D. and G. J. Burch, Physical Basis of the Length-Slope Factor in the Universal Soil Loss Equation, Soil Science Society of America Journal, 50 (5), pp. 1294-1298, 1986.
11. Okalp K., 2005, Soil erosion risk mapping using geographic information systems: a case study on kocadere creek watershed, Izmir, MSc Thesis, METU.
12. Özden, Ş., Özden, D.M 1997, Türkiye Toprak Erozyon Modeli (TURTEM), Toprak ve Gübre Araştirma Enstitüsü Araştirma Programi, Proje No: 95120A01 Ankara.
13. Perry, T. S. and Zadeh, L. A., 1995. IEEE Spectrum, pp. 32-35.
14. Renard, K.G., Foster, G.R., Weesies, G.A., McCool, D.K. and Yoder, D.C., (coordinators), 1997, Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE), U.S. Department of Agriculture, Agricultural Handbook No.703.
15. SWCS, Soil Water Conservation Society, http://www.swcs.org, visited on June 23rd, 2005.
16. Sasikala, K.R., Petrou, M. and Kittler, J., 1996, Fuzzy classification with a GIS as an aid to decision making, EARSeL Advances in Remote Sensing, vol.4, pp. 97-105.
17. TFCSE, The Turkish Foundation for Combating Soil Erosion, for Reforestation and the Protection of Natural Habitats, http://www.tema.org.tr, visited on November 27th, 2001.
18. Van der Knijff, J.M., Jones, R.J.A., Montanarella, L., 1999, Soil erosion risk assessment in Italy, European Soil Bureau, EUR 19044 EN.
19. Wischmeier, W.H. and Smith, D.D., 1978, Predicting rainfall erosion losses-a guide to conservation planning, U.S. Department of Agriculture, Agricultural Handbook No. 537.
20. Yanar, T.A. and Akyürek, Z., 2006, The enhancement of the cell-based GIS analyses with fuzzy processing capabilities, Information Sciences, 176, pp 1067-1085.
21. Zadeh, L.A., 1965, Fuzzy sets, Inf. Control 8, pp.338-353.