Applied Research in Geographical Sciences

Applied Research in Geographical Sciences

Optimal locating of Urban Waste Recycling Facility (Case Study: Kelardasht, Iran)

Authors
Maryam Ilanloo 1
Hosein Bicgarian 2
Mohsen Yahya Soltani 3
Mohammad Mehdi Bahramian 1
1 Islamic Azad university
2 Azad university
3 Khwarizmi University of Karaj
10.29252/jgs.19.52.193
Abstract
Solid waste is an integral part of human life, generation of various quantities and qualities of which is one of the greatest environmental problems of the current era. Application of modern tools and technology to find the right place for recycling, where the volume of recyclable materials can be reduced, seems vital for reusing the recoverable materials contained in normal waste and their recycling and reusing in the cycle of industry. The study aimed to find a location for recycling and its converting industries in Kelardasht, Iran. This was a descriptive and analytical research with a survey approach. At first, experts of the field were recognized and a scientific panel was formed to identify the relevant criteria through Delphi method. In this respect, five criteria of the distance from residential and commercial areas, the distance from urban streets, the distance from the river, the distance from the hospital and education centers, and the distance from hotels, banks, and offices were selected. After that, the permitted distances for these criteria were determined by Delphi technique, followed by the application of the centroid method to determine the exact distances. Moreover, the analytical hierarchy process (AHP) and geographic information system (GIS) were exploited to determine the and use weights in raster maps and generation of the zoning map. Furthermore, the best locations for recycling were selected in Kelardasht using field survey method and based on the zoning map. According to the results, four sites were selected for recycling of recoverable solid waste in this region
Keywords
Urban Wastes
DELPHI method
Locating
Fuzzy logic
Kelardasht
Bagley, c. A. Thompson and J. Schaffer, (2002), Minimum data set de elopement: air transport time-related terms. International Jornal of Medical Informatics, 65, 121-133.
Chang, N. B. and Y. L Wei, (2000), Siting recycling drop-off stations in urban area by genetic algorithm –based fuzzy multiobjective nonlinear integer programming modeling. Fuzzy sets and systems, 114, 133-149
Cheng, s. k., (2000), Development of a fuzzy multi-criteria decision support system for municipial solid waste management. regina: a thesis in graduate, studies and research university of regina.
Ching –Hsue, Ch. And L. Yin, (2002), Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. European Journal of Operational Research, 142, 174 -186.
Fink, A., (1984), Consensus methods: characteristics and guidelines for use American,Journal of public health, 74(9), 979-983
Lin, F. and H. Ying, (2007), Decision making in fuzzy discrete event systems. Information Sciences, 177, 3749-3763
Kundua, S. Khareb. D, Mondal, A. )2017(, Landuse change impact on sub-watersheds prioritization by analytical hierarchy process (AHP), Ecological Informatics (42), 100-113.
Hendrix, W, (1992). Use of GIS for selection of sites for land application of sewage waste, J of soil and Water Conservation.3 (1): 44-51.
Ni-Bin Chang. G. Parvathinathan, Jeff B. Breeden, (2008). Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region, Journal of Environmental Management. 6(3):139–153.
Morgan, R.)2017(, An investigation of constraints upon fisheries diversification using the Analytic Hierarchy Process (AHP). Journal Marine Policy, (86), 24–30.
Okoli, C. and S. D. pawlowski, (2004), The Delphi Method as a research tool: an example, design considerations and application. Information and Management. 42, 15-29.
petroni A. and A. Rizzi, (2002), Fuzzy logic based methodology to rank shop floor dispatching rules. International Journal of Production Economics, 76, 99- 108.
Satty, T. 1980, The Analytical Hierarchy Process, Planning Priority, Resiurce Allocation TWS Publications, USA
Skordilis, A, (2004), Modelling of intergrated solid waste management systems in an island. Resources, Conservation and Recycling, 41, 243-254.
Sumathi, V. R. U. Natesan and C. Sarkar, (2008), GIS-based approach for optimized siting of municipal solid waste landfill. Waste Management, 28, 2146-2160
Vastava, Sh. (2003). Selection of potential waste disposal sites around Ranchi urban complex using remote sensing and GIS techniques, urban planning map Asia conference.
XinXiao,Jia. MichaelSiu, Kin Wai.2018, Challenges in food waste recycling in high-rise buildings and public design for sustainability: A case in Hong Kong, Resources, Conservation and Recycling.131, 172-180