GIS-based site analysis for selecting suitable sites of waste-to-energy plants in Pathumthani
Keywords:Waste-to-energy power plant, Location suitability analysis, Pathumthani, GIS
In response to cumulative municipal waste problem in Pathumthani, a waste-to-energy electric power plant is selected as waste management approach. This study aims at assessing waste-to-energy power plant potential zones in Pathumthani using Geographic Information System (GIS). GIS data collection depends on all 12 factors considered in this study as follows: the distances from power plant site to communities, to industrial areas, to power lines, to power stations, to waterworks stations, to hospitals, to education institutes, to main water resources, to accessible roads, to railways, to airports and the risk of flooding. After multiple layers of information have been generated as a single map using GIS, the suitable power plant locations are defined on the basis of the
ordered weighted averaging (OWA) technique. Color-coded symbology is applied to the maps to differentiate suitable/unsuitable areas for power plant establishment. Considering proportions of suitable areas of each of the seven districts to the total area of the province, the most suitable district is Klong Luang, followed by Nongsua, Lamlukka, Ladlumkaew, Muang Pathumthani, Thanyaburi, and Samkok districts, respectively. This analysis approach should be further developed and applied to other areas.
Ajjima Chansuwanich. (2016), Report of the Integrated Inspection to Drive Important Policy Issues on Waste and Environmental
Management in accordance with the Integrated Inspection Plan of the Inspector, the Prime Minister's Office.
Associate Professor Dr.Supetch Jirakajornkun. (2017), learning geographic information system with ArcGIS Desktop 10.5, 1st edition,
Nonthaburi, A.P. graphic design and printing
Criteria and Standards for Integrated Town Planning. (2006), Department of Public Works and Town and Country Planning, Page 83-86
Electrical power system, searched on 7 December 2019, Retrieved from http://www2.dede.go.th/bhrd/old/Download/fil
Emergency action plan to solve flood disaster problems Pathum Thani Province. (2014),Disaster Prevention and Mitigation Office,
Pathum Thani Province
Goyal, H., Sharma, C., & Joshi, N. (2017). An Integrated Approach of GIS and Spatial Data Mining in Big Data. International Journal of
Computer Applications, 169(11), 1-6.
Hazardous waste, searched on 7 December 2019, Retrieved from http://www.falmouthmass.us/695/Household-Hazardous-Waste-Collection
Krabi Town Planning and Planning Project (2014),Department of Public Works and Town and Country Planning, Page 134-189
Misra, S., & Sharma, S. (2015). Site Suitability Analysis for Urban Development: A Review.International Journal on Recent and
Innovation Trends in Computing and Communication, 3(6), 3647-3651.
Naphon Surongkharat and Dr. Tulawit Sathonjanu (2013), finding suitable area for biomass power plant from rubber wood in Rayong, KKU
Research Journal (GS)
Opas Iamsiriwong. (2015), Database System, Bangkok, SE-Education
Piyachart Artuwan. (2 0 1 4 ) , Academic Article Community waste, the big problem that the country is facing, the Office of Academic
Affairs Secretariat of the Senate, Year 4, Issue 7, Page 2-8
Power transmission system, searched on October 2, 2019, Retrieved from http://dspace.spu.ac.th/handle/123456789/464
Private electricity supplier, searched on November 3, 2019, Retrieved from http://www.eppo.go.th/index.php/th/electricity/
Rikalovic, A., Cosic, I., & Lazarevic, D. (2014). GIS Based Multi-Criteria Analysis for Industrial Site Selection. Procedia Engineering,
(2014), 1054–1063. doi:10.1016/j.proeng.2014.03.090
The concept of waste to energy power plant prototype, searched on November 11, 2019, Retrieved from https://techsauce.co/tech-and-
Urban Planning and Planning Project for Pathum Thani Province (2014), Department of Public Works and Town Planning
Zabihi, H., Alizadeh, M., Langat, P., Karami, M., Shahabi, H., Ahmad, A., Said, M., & Lee, S. (2019). GIS Multi-Criteria Analysis by
Ordered Weighted Averaging (OWA): Toward an Integrated Citrus Management Strategy.Sustainability,11(1009),1-17.doi:10.3390/su11041009
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