A. AL-HANBALI ET AL. 277
to create a complete uniform database. Thus, the GIS
data should be updated regularly in order to reflect the
current situation of an area under investigation. Remote
sensing data can assist to have updated information of
the study area. Also, it can support the decision makers
to monitor the investigated area using different dates of
satellite images to study the trend of urban expansion for
Three candidate sites were suggested based on the
methodology and available data applied in this research.
Generally, the suggested sites comply with the minimum
requirements of the landfill sites. However, any GIS
model is limited to the available data, which in this study;
nine parameters were considered. Therefore, any addi-
tional information such as wind direction, land price,
detailed soil data, and other social and economical fac-
tors can enhance the outputs of the GIS model, and pro-
vide more realistic results.
The planners and the decision makers can get useful
information about the possible locations of landfill sites
using this methodology. Especially that the site ranking
process allows for easily readjustment of the criteria
weights in case a sensitivity analysis is required. Never-
theless, defining detailed and standard criteria by the
Ministry of Environment that comply with the local con-
ditions of Jordan can enhance the outputs of GIS models
used for the purpose of finding a suitable landfill site.
However, getting public agreement on any candidate
landfill site is a must, and can not be avoided. Therefore,
the local community should participate in the selection
process of a landfill site to avoid any opposition in the
 B. Nas, T. Cay, F. Iscan and A. Berktay, “Selection of
MSW landfill site for Konya, Turkey Using GIS and
Multi-Criteria Evaluation,” Environmental Monitoring
and Assessment, Vol. 160, No. 1-4, 2010, pp. 491-500.
 O. Al-Jarrah and H. Abu-Qdais, “Municipal Solid Waste
Landfill Siting Using Intelligent System,” Waste Man-
agement, Vol. 26, No. 3, 2006, pp.299-306.
 M. Zamorano, E. Molero, Á. Hurtado, A. Grindlay and Á.
Ramos, “Evaluation of a Municipal Landfill Site in
Southern Spain with GIS-aided Methodology,” Journal of
Hazardous Materials, Vol. 160, No. 2-3, 2008, pp.
 Ş. Şener, E. Sener and R. Karagüzel, “Solid Waste Dis-
posal Site Selection with GIS and AHP Methodology: A
Case Study in Senirkent-Uluborlu (Isparta) Basin,” Envi-
ronmental Monitoring and Assessment, Vol. 173, No. 1,
2010, pp. 533-554.
 M. Sharifi, M. Hadidi, E. Vessali, P. Mosstafakhani, K.
Taheri, S. Shahoie and M. Khodamoradpour, “Integrating
Multi-Criteria Decision Analysis for a GIS-Based Haz-
ardous Waste Landfill Sitting in Kurdistan Province,
western Iran,” Waste Management, Vol. 29, No. 10, 2009,
pp. 2740-2758. doi:10.1016/j.wasman.2009.04.010
 M. Z. Siddiqui, J. W. Everett and B. E. Vieux, “Landfill
siting Using Geographic Information Systems: A Dem-
onstration,” Journal of Environmental Engineering, Vol.
122, No. 6, 1996, pp. 515-523.
 S. J. Baban and J. Flannagan, “Developing and Imple-
menting GIS-assisted Constraints Criteria for Planning
Landfill Sites in the UK,” Planning Practice and Re-
search, Vol. 13, No. 2, 1998, pp. 139-151.
 G. Tchobanoglous, H. Theisen and S. A. Vigil, “Inte-
grated Solid Waste Management, Engineering Principles
and Management Issues,” McGraw-Hill, New York,
 R. L. Church, “Geographical Information Systems and
Location Science,” Computers & Operations Research,
Vol. 29, No. 6, 2002, pp. 541-562.
 A. Murray, “Advances in location modeling: GIS Link-
ages and Contributions,” Journal of Geographical Sys-
tems, Vol. 12, No. 3, 2010, pp. 335-354.
 H. Voogd, “Multicriteria Evaluation for Urban and Re-
gional Planning,” Pion Limited, London, 1983.
 J. Malczewski, “GIS-Based Land-Use Suitability Analy-
sis: A Critical Overview,” Progress in Planning, Vol. 62,
No. 1, 2004, pp. 3-65.
 A. Yalcin, “GIS-Based Landslide Susceptibility Mapping
Using Analytical Hierarchy Process and Bivariate Statis-
tics in Ardesen (Turkey): Comparisons of Results and
Confirmations,” CATENA, Vol. 72, No. 1, 2008, pp. 1-12.
 J. Malczewski, “GIS and Multicriteria Decision Analy-
sis,” John Wiley & Sons, New York, 1999.
 V. R. Sumathi, U. Natesan and C. Sarkar, “GIS-Based
Approach for Optimized Siting of Municipal Solid Waste
Landfill,” Waste Management, Vol. 28, No. 11, 2008, pp.
 T. D. Kontos, D. P. Komilis and C. P. Halvadakis, “Siting
MSW Landfills with a Spatial Multiple Criteria Analysis
Methodology,” Waste Management, Vol. 25, No. 8, 2005,
pp. 818-832. doi:10.1016/j.wasman.2005.04.002
 H. S. Sudhira, T. V. Ramachandra and K. S. Jagadish,
“Urban Sprawl: Metrics, Dynamics and Modelling Using
GIS,” International Journal of Applied Earth Observa-
tion and Geoinformation, Vol. 5, No. 1, 2004, pp. 29-39.
 C. Weber and A. Puissant, “Urbanization Pressure and
Modeling of Urban Growth: Example of the Tunis Met-
ropolitan Area,” Remote Sensing of Environment, Vol. 86,
No. 3, 2003, pp. 341-352.
opyright © 2011 SciRes. JGIS