Full text: Proceedings, XXth congress (Part 2)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004 
  
the non-vulnerable areas. The vulnerable areas should be out 
of the arrangement. 
e If the flood prone area cannot be expropriated, especially 
because of the economic reasons, the vulnerable areas might 
be evaluated in the concept of Arrangement Partnership Part. 
Thus, 35 per cent of the total area is left directly and can be 
used as green area. The area in the arrangement can be 
provided by the exchange of the treasure goods instead of 
expropriation. 
e Aforestation on the area which is left as green part during 
the arrangement is one of the most favorable method to 
mitigate the risk on the flood vulnerable area. In addition, 
special conditions might be applied on these areas by 
proposal of Ministry of Agriculture and by compulsion of 
Province Public Works Directorate. 
References from Journals: 
Antonie, J., Fischer, G. and Makowski, M., 1997. Multiple 
criteria land use analysis. Applied Mathematics and 
Computation. Vol.85 pp.195-215. 
Duijm, N. J. and Markert, F., 2002. Assessment of 
technologies for disposing explosive waster. Journal of 
Hazardous Materials. Vol.A90 pp.137-153. 
Eastman, J. R., Jin, W., Kyem, P. A. K. and Toledano, J. , 
1995. Raster procedures for multi-criteria/multiobjective 
decisions. Photogrammetry and Remote Sensing. 61(5); 539- 
547. 
Heywood, I., Oliver, J. and Tomlinson, S., 1993. Building an 
exploratory multi criteria modeling environment for spatial 
decision support. International Journal of Gegraphical 
Information Science, 7(4). 
Jiang, H. and Eastman, J. R., 2000. Application of fuzzy 
measures in multi-criteria evaluation in GIS. International 
Journal of Geographical Information Systems 14(2), 173- 
184. 
Lin, H., Wan, Q,, Li, X, Chen, J. and Kong, Y... 1997. GIS- 
based multicriteria evaluation for investment environment. 
Environment and Planning B: Planning and Design, v:24, 
pp:403-414 
Lowry, J. H Jr, Miller, H. J. and Hepner, 'G. F., 1995. A 
GIS-based sensitivity analysis of community vulnerability to 
hazardous contaminations on the Mexico/U.S. border. 
Photogrammetric Engineering and Remote Sensing. Vol.61, 
No.11; pp.1347-1359. 
Malezewski, J., 1996. A GIS-based approach to multiple 
criteria group decision making. International Journal of 
Geographical Information Systems 10(8), 955-971. 
Sanders, R. and Tabuchi, S., 2000. Decision support system 
for flood risk analysis for River Thames, United Kingdom. 
Photogrammetric Engineering and Remote Sensing, 66(10), 
1185-1193/ 
Thomas, M. R., 2002. A GIS-based decision support system 
for brownfield redevelopment. Landscape and Urban 
Planning. Vol. 8, pp.7-23. 
Tkach, R. J. and Simonovic, S. P., 1997. A new approach to 
multi-criteria decision making in water resources. Journal of 
Geographic Information and Decision Analysis, 1(1), 25-43. 
364 
Zheng, D. and Kainz, W., 1999. Fuzzy Rule Extraction from 
GIS Data with A Neural Fuzzy System for Decision Making. 
ACM GIS’ 99, Kansas City, USA, 79-84. 
References from Books: 
Biermann, S. M., 1998. The strategic identification of 
suitable land for low income housing: A case study from 
South Africa, in: Thill J. -C. (eds.). Spatial Multicriteria 
Decision Making and Analysis. Ashgate, Brookfield. pp. 199- 
221. 
Malczewski, J., 1999a. GIS and Multiple-criteria Decision 
Analysis. New York: John Wiley & Sons. 
Malczewski, J., 1999b. Spatial multicriteria decision analysis. 
In: J.-C. Thill (ed.), Multicriteria Decision Making and 
Analysis: A Geographic Information Sciences Approach. 
Brookfield, VT; Ashgate Publishing, pp.11-48. 
Saaty, T. L., 1980. The Analytic Hierarchy Process. New 
York: McGraw Hill 
Türkiye Akarsu Havzalari Tagkin Yilligi (1998). Ankara: DS 
Türkiye Miiteahhitler Birligi Bah ve Doëu Karadeniz 
Bôlgeleri Sel Afetleri Arastirma Raporu. (1998). Ankara: 
TESAV. 
References from Other Literature: 
Corcoran, K., Dent, B., Smith, J. and Lara, P., 1997. Location 
of optimal areas for the development of an alternative 
livestock species: the cashmere goat. In: Laker, J. and Milne, 
J.(eds) Proc. Livestock Systems in Rural Development 
Network Conferences. Athens. Pp.67-72. 
Eimers, J. L., Weaver, J. C., Terziotti, S. and Midgette, R. 
W., 2000. Methods of rating unsaturated zone and watershed 
characteristics of public water supplies in North Carolina. 
Water Resources Investigations Report 99-4283. Raleigh, 
North Carolina. 
Henderson, J. A., Molacek, R. W., E. I. T., Buzard, C. F. and 
Carlton, D. K., 1996. GIS and the floodplain management 
planning process in Washington State. ESRI, User 
Conferences Proceeedings '96. 
Usul, N., Sorman, U., Akytirek, Z., Turan, B. and Yilmaz, M. 
, 2002. Hidrolik model entegrasyonu ile taskin analizi pilot 
projesi, No: 0007 022 0001, ODTU, Ankara. 
Yalcin, G., 2002. Analyzing flood vulnerable areas with 
multicriteria evaluation. Unpublished MS Thesis in GGIT 
METU, Ankara. 
References from website: 
Pramojanee, P., Tanavud, C., Yongachalermchai, C. and 
Navanugraha, C., 2001. “An application of GIS for mapping 
of flood hazard and risk area in Nakorn Sri Thammarat 
Province, South of Thailand.” URL: 
http:///www.itc.nl/ha2/suslup/Thema5/198/198.pdf. (accessed 
January 2001) 
  
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