Vulnerability Analysis of Flood in Rangelands Using Multi Criteria Decision Analysis and Geographic Information System (Case Study: Gilard Basin, Damavand, Iran(

Document Type : Research and Full Length Article


1 ITVHE Academic Member, Ph.D. Student in Combat Desertification, Semnan University

2 Postgraduate M.Sc. in Geophysics, Islamic Azad University, Tehran Branch


Flood disaster is considered as a major natural hazard due to its devastating
effects on the affected areas. Determining the flood vulnerable areas is important for
decision makers in order to perform planning and management activities. Geographical
Information System (GIS) is integrated with Multi Criteria Decision Analysis (MCDA)
used to analyze the flood vulnerable areas. The aim of this research was to provide more
flexible and accurate decisions to evaluate the causative factors for planning and
management of rangelands of Gilard, Damavand. So, effective factors influencing flood
occurrence in the study area was first surveyed. Some of the causative factors for flood in
the watershed such as mean annual precipitation, basin area, basin slope, drainage density,
land uses and soil type were taken into account. Then, through assembling spatial and
descriptive information related to the study area and using Analytic Hierarchy Process
(AHP), the criteria have been grouped and weighted. At the end, as regards of ultimate
weight, the basin was classified into five classes. Results of this research show that mean
annual precipitation and Sedimentation Rate with the average values of 26.5% and 2.01%
had maximum and minimum effects on flood occurrence in rangeland of Gilard in
Damavand, respectively.


Antonie, J., Fischer, G. and Makowski, M., 1997.
Multiple criteria land use analysis, Applied
Mathematics and Computation, Vol.85, pp.195-
Aurora, M., 2003. GIS and multi-criteria decision
making to determine marketability of pay pond
businesses in West Virginia, Division of
Forestry West Virginia University Publication.
Barroca, B., Bernardara, P., Mouchel, J. M. and
Hubert, G., 2006. Indicators for identification of
urban flooding vulnerability, Natural Hazards
and Earth System Sciences, 6: 553-561.
Bojórquez-Tapia, L. A., Díaz-Mondragón, S. and
Ezcurra, E., 2001. GIS-based approach for
participatory decision making and land
suitability assessment. International Jour.
Geographical Information Science, 15: 129–
Erkut, E. and Moran, S. R., 1991. Locating
obnoxious facilities in the public sector: an
application of the hierarchy process to
municipal landfill siting decisions. SocioEconomic Planning Sciences, 25: 89–102.
Malczewski, J., 1996. A GIS-based approach to
multiple criteria group decision making.
International Jour. Geographical Information
Systems, 10(8): 955-971.
Malczewski, J., 1999. GIS and Multiple-criteria
decision analysis. New York: John Wiley &
Mendoza, G. A. and Martins, H., 2006. Multicriteria decision analysis in natural resource
management: A critical review of methods and
new modeling paradigms. Forest Ecology and
Management, 230 (2006) 1–22.
Ologunorisa, T. E. and Abawua, M. J., 2005.
Flood Risk Assessment: A Review. Jour.
Applied Sciences & Environmental
Management, Vol. 9, No. 1, 2005, pp. 57-63.
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:
pdf. Visited Date: 2001, January.
Qodsipor, H., 2005. Analytic Hierarchy Process
(AHP). Amirkabir University of Technology,
Tehran, Iran. (In Persian).
Rafikul, I., 2003. The Analytic hierarchy process:
An effective multi criteria decision making tool,
Research Centre International Islamic
University Malaysia.
Saaty, T. L., 1980. The Analytic hierarchy
process. New York: McGraw Hill.
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).
Sani, Y., 2008. Multi criteria analysis for flood
vulnerable areas in Hadejia-Jama‘are river
basin, Nigeria. ASPRS 2008 Annual
Conference Portland, Oregon.
Thomas, M. R., 2002. A GIS-based decision
support system for brownfield redevelopment.
Landscape and Urban Planning. Vol. 8, pp.7-
UN- EC, 2007. United Nations and European
Commission Report.
Yalcin, G., 2002. Analyzing flood vulnerable
areas with multi criteria evaluation.
Unpublished M.Sc. thesis in GGIT METU,