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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