Contact Us

For Marketing, Sales and Subscriptions Inquiries
2637 E Atlantic Blvd #43110
Pompano Beach, FL 33062
USA

Conference List

International Journal of Geography and Geology

October 2016, Volume 5, 10, pp 209-223

Landfill Site Selection Using Simple Additive Weighting (SAW) Method and Artificial Neural Network Method; A Case Study from Lorestan Province, Iran

E. Mokhtari

,

M. Khamehchian

,

G. Montazer

,

M. Nikudel

E. Mokhtari 1

M. Khamehchian 2
G. Montazer 3
M. Nikudel 4

  1. PHD of Engineering Geology Department, Tarbiat Modares University, Tehran, Iran 1

  2. Professor of Engineering Geology Department, Tarbiat Modares University, Tehran, Iran 2

  3. Associate Professor of Information Technology, School of Engineering, Tarbiat Modares University, Tehran, Iran 3

  4. Assistant Professor of Engineering Geology Department, Tarbiat Modares University, Tehran, Iran 4

Pages: 209-223

DOI: 10.18488/journal.10/2016.5.10/10.10.209.223

Share :


Abstract:

The selection of a site for landfill is one of the most difficult steps in landfilling process. Several techniques and methods have been used in a sanitary landfill site selection in the literature. In this paper two methods consist of a method based on the artificial neural network method and simple additive weighting (SAW) method have been used to landfill site selection in Lorestan province, IRAN and the results of two methods compare to each other. The input data of the research consist of 9 digitized data layers including geology, faults, slope, vegetation, residential areas, road and railways, groundwater resources, dams, drainage network maps. The land suitability map prepared by means of SAW method has been grouped in five categories with 0.5 intervals (Ai: 0 to 2.5). Derived map from the neural network modeling exhibit a gradual suitability for a landfill site. With SAW method that was used in the first step of the research, most of the area is considered unsuitable, while by the neural network method, the area with high suitability covers different parts of the study area. One of the most characteristics of the neural network methods is flexibility. The maps that are provided by these methods help the decision makers to select areas with a high suitability value and then proceed to field investigations according to the level of enforcement of the other policies.

Contribution/ Originality
This study contributes in the existing literature about the multi-criteria decision making and the using intelligence tools for site selection. This study uses new methodology for landfill site selection by means of artificial neural networks. This study originates new model for site selection based on the geological and geographical data.

Keywords:

Landfill site selection, SAW method, Neural network method, Municipal solid waste, Land suitability, Lorestan province.

Video:

Reference:

  1. Akbari, V., M.A. Rajabi, S.H. Chavoshi and R. Shams, 2008. Landfill site selection by combining GIS and fuzzy multi criteria Decision analysis, case study: Bandar Abbas, Iran. World Applied Sciences Journal, 3(1): 39-47.
  2. Akyürek, Z. and T.A. Yanar, 2012. Artificial neural networks as a tool for site selection with GIS. 16th Conference in Photogrametery and Remore Sensing, Australia.
  3. Balis, M., C. Mandylas, T. Kontos, D. Akriotis and C.P. Halvadakis, 1998. Investigation of suitable areas for the construction of sanitary landfill in Lemnos. Technical Report, Part I. Region of the North Aegean, Mytilene, Lesvos, Greece, University of the Aegean, Department of Environmental Studies, Waste Management Laboratory.
  4. Bonham-Carter, G.F., 1994. Geographic information systems for geoscientists. USA, Pergamon: Elsevier Science Ltd.
  5. Cao, L., Y. Cheng, J. Zhang, X. Zhou and C. Lian, 2006. Application of grey situation decision-making theory in site selection of awaste sanitary landfill. J. China Univ. of Minina &Tech, 16(4): 431-446.
  6. Chang, N., G. Parvathinathan and J.B. Breeden, 2008. Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. J. Environmental Management, 87(1): 139–153.
  7. Charnpratheep, K., Q. Zhou and B. Garner, 1997. Preliminary landfill site screening using fuzzy geographical information systems. Waste Manage. Res, 15(2): 197-215.
  8. Dorhofer, G. and H. Siebert, 1998. The search for landfill sites-requirements and implementation in lower Saxony, Germany. Environ. Geol, 35(1): 55–65.
  9. Ehler, G., D. Cowen and H. Mackey, 1995. Design and implementation of a spatial decision support system for site selection. Proceedings of ESRI International User Conference.
  10. Geological Survey of Iran (GSI), 1962. Hamedan. 1:250000 geological map series.
  11. GSI, 1964. Golpayegan sheet. 1:250000 geological map series.
  12. GSI, 1964. Kermanshah sheet. 1:250000 geological map series.
  13. GSI, 1992. Khpramabad sheet. 1:250000 geological map series.
  14. GSI, 1992. Kohdasht sheet. 1:250000 geological map series.
  15. GSI, 2006. Shahrekord sheet. 1:250000 geological map series.
  16. Halvadakis, C.P., 1993. Municipal solid waste landfill siting in Greece-the case of the greater Hania region, Greece. Ekistics, 60(358–359): 345–352.
  17. Hatzichristos, T. and M. Giaoutzi, 2006. Landfill sitting using GSI, fuzzy logic and delphi method. Int.J.Environmental Technology and Management, 6(12): 218-231.
  18. Hussey, V., V. Dodd and G.J. Dennison, 1996. Locating a landfill site for Dublin using geographic information systems. P. I. Civil. Eng. Munic, 115(3): 125- 133.
  19. Janssen, R., 1992. Multiobjective decision support for environmental management. Dordrecht: Kluwer Academic.
  20. Kao, J.J., H.J. Lin and W.Y. Chen, 1997. Network geographic information system for landfill sitting. Waste Manage. Res, 15(3): 239–253.
  21. Kao, J.J. and H.Y. Lin, 1996. Multi factor spatial analysis for land fill siting. J. Environ. Eng, 122(10): 902-908.
  22. Khamechian, M., M. Nikoudel and M. Boroumandi, 2011. Identification of hazardous waste landfill site: A case study from Zanjan province, Iran. Environ. Earth. Sci, 20(64): 1763–1776.
  23. Komilis, D.P., R.K. Ham and R. Stegmann, 1999. The effect of municipal solid waste pretreatment on landfill behavior: A literature review. Waste Manage. Res, 17(1): 10–19.
  24. Kontos, T.D., D.P. Komolis and C.P. Halvadakis, 2005. Sitting MSW landfills with a spatial multiple criteria analysis methodology. Waste Management, 25(8): 818-832.
  25. Lukasheh, A.F., R.L. Droste and M.A. Warith, 2001. Review of expert system (ES), geographical information system (GIS), decision support system (DSS) and their application in landfill design and management. Waste Manage. Res, 19(1): 177–185.
  26. Malczewski, J., 1997. Propagation of errors in multicriteria location analysis: A case study. In: Fandel G, Gal T (Eds). Multiple criteria decision making. Berlin: Springer. pp: 154-155.
  27. Ministry of Agriculture of Iran (MGI), 2002. Lorestan sheet. 1:250000 land cover maps.
  28. National Geographic Organization of Iran (NGO), 2004. Lorestan sheet. 1:250000 topographical map series.
  29. National Iranian oil Company (NIOC), 1967. Dehloran sheet. 1:250000 geological map series.
  30. NIOC, 1973. Dezful sheet. 1:250000 geological map series.
  31. Ojha, C.S., M.K. Goyal and S. Kumar, 2007. Applying fuzzy logic and the point count system to select landfill sites. Environ. Monit. Assess, 135(1-3): 99–106.
  32. Onut, S. and S. Soner, 2008. Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Management, 28(9): 1552–1559.
  33. Sener, B., M.L. Suzen and V. Doyuran, 2006. Landfill site selection by using geographic information systems. Environ. Geol, 49(3): 376–388.
  34. Siddiqui, M.Z., J.W. Everett and B.E. Vieux, 1996. Landfill siting using geographic information systems. J. Environ. Eng, 122(6): 515-523.
  35. Wang, G., L. Qin, G. Li and L. Chen, 2009. Landfill site selection using spatial information technologies and AHP: A case study in Beijing, China. J. Environmental Management, 90(8): 2414–2421.
  36. Yagoub, M. and T. Buyong, 1998. GIS applications for dumping site selection. Proceedings of the ESRI International User Conference, 107.

Statistics:

Google Scholor ideas Microsoft Academic Search bing Google Scholor

Funding:

This study received no specific financial support.

Competing Interests:

The authors declare that they have no competing interests.

Acknowledgement:

All authors contributed equally to the conception and design of the study.

Related Article

( 1 ) Landfill Site Selection Using Simple Additive Weighting (SAW) Method and Artificial Neural Network Method; A Case Study from Lorestan Province, Iran
( 2 ) Hospital Site Selection Using a BDI Agent Model
( 3 ) Micro Level Geo-Resistivity Survey through V.E.S. Test for Groundwater Feasibility Study and Selection of Bore Well Sites in Pipili Block of Puri
( 4 ) Wind To Select the Recreation Flying Site
( 5 ) Analysis of Dioxins Concentration in Domestic Waste and Burnt Tyre Residue at Gosa Dumpsite in Abuja, Nigeria
( 7 ) Interdisciplinary Studies of Ancient and the Most Ancient Heritage Sites in the Geography of Culture
( 8 ) Zoning of Natural and Man-Made Disasters for Relief and Rescue Centers Site Selection Using the Model Logic (Case Study: Guilan Rural Area)
( 9 ) Assessment of Environmental Effect of Abandoned Uranium Mine Site in Mika Village of Taraba State Nigeria
( 15 ) Optimal Density Determination of Bouguer Anomaly Using Fractal Analysis (Case of Study: Charak Area, Iran)
( 16 ) Application of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) for Achieving Desire BA in the Biotransformation of Benzaldehyde Using Free Cells of Saccharomyces Cerevisae and the Effect of Β-Cyclodextrin
( 17 ) Flood Hazard Assessment and Decisions Support Using Geographic Information System: A Case Study of Uyo Capital City, Akwa Ibom State, Nigeria
( 18 ) Energy Trading and Congestion Management Using Real and Reactive Power Rescheduling and Load Curtailment
( 19 ) Energy Consumption and Thermal Comfort Analysis of Public Housing in Sao Paulo, Brazil
( 20 ) Sequestration Rate of Heavy Metal Contaminants Using Riccia Fluitans as Potential Phytoremediation Agent in Polluted Aquatic Ecosystem
( 21 ) Economic Load Dispatch in Thermal Power Plant Considering Additional Constraints Using Curve Fitting and Ann
( 22 ) Phytoremediation Model System for Aquaculture Wastewater Using Glossostigma Elatinoides and Hemianthus Callitrichoides
( 23 ) Comparative Assessment of Co2 Emission Factors Estimated Using Stack Flue Gas Measurement Data for Two Types of Brick Kiln: A Case Study in Phu Tho Province, Vietnam
( 24 ) Presentation of Empirical Equations for Estimating Internal Friction Angle of SP and SC Soils in Mashhad, Iran Using Standard Penetration and Direct Shear Tests and Comparison with Previous Equations
( 25 ) Determining the Optimal Density of Neka Using Fractal Method and the Study of Its Geological Situation
( 26 ) Improving the Geological Understanding of the Niger Delta Basin of Nigeria Using Airborne Gravity Data
( 27 ) Residential Housing Quality Assessment Based on the Criteria of Sustainable Housing (Case Study: Residential Complex of 100 Units of Region 1 City of Zahedan)
( 29 ) Soil Erosion Hazard Mapping in Central Zab Basin Using Epm Model in GIS Environment
( 31 ) Sensitivity Analysis and Vulnerability Mapping of the Guilan Aquifer Using Drastic Method
( 32 ) Using Rubber Aggregate Derived from Discarded Tires for Producing Cement Concrete towards Resource Recovery and Environmental Protection in Vietnam
( 33 ) Evaluation of Road Traffic Energy Harvesting Using Piezoelectricity
( 34 ) Reinforcing Kenya Power National Grid Using Statcom Devices
( 35 ) Implementable Approach of Addressing the Challenges of Cloud Based Smart City Using IoT
( 36 ) Biostratigraphy and Paleoecology of Maastrichtian and Paleocene Sediments in the Northern Alborz, Iran, Using Foraminifera
( 37 ) Using Refined Phosphogypsum to Replace Natural Gypsum in Portland Cement Production in Vietnam
( 38 ) Modelling and Simulation of PV Solar-Thermoelectric Generators Using Nano Fluids
( 39 ) Reading Activities in Kauman Area, Parakan, Indonesia, During the Colonial Era Using Mapping Analysis
( 44 ) Comparison and Review of the Advantages of the Fractal Method (Variogram) With Respect To the Nettelton in Determining the Density of the Bouguer Plane in the Southern Hormozgan: Iran
( 46 ) Inversion of Electrical Resistivity Data by VES Method for Water Exploring Case Study: South West of Iran
( 47 ) Modeling and Optimization of Phenylacetyylcarbinol Synthesis via Benzaldehyde: A Case of Artificial Neural Network vs. Response Surface Methodology
( 51 ) The Use of Indigenous Methods in Seasonal Climate Prediction and Adaptation among Farmers in Atisbo Local Government Area of Oyo State, Nigeria
( 60 ) Comparison of the Gravimetric Network in Esfarayen Region with the Network of Fractal Analysis
( 64 ) Resolving Optimum Magnetic Signatures for Drill-Hole Targeting in Gold Exploration – A Case Study for Mbudzane in Gwanda, Zimbabwe
( 65 ) Development of Solar Energy in Sabah Malaysia: The Case of Trudgill’s Perception
( 68 ) Problems of Mechanized Tunneling In Gassy Ground Conditions a Case Study: Nousoud Water Transmission Tunnel
( 69 ) Environmental and Health Impact of Solid Mineral Exploration and Exploitation in South-Northern Nigeria: A Case Study of Igarra in Edo State
( 70 ) Improved Analytical Approach of Vibration Behavior Destined To Ball Bearings in The Case of Angular Contact
( 72 ) Strategies for Tourism Development in National Parks with the Use of Swot Model (Case: Golestan National Park)
( 73 ) Investigating the Density Ratios of Geological Structure through Fractal Geometry Case Stady: (Dehno Region in Farss of Iran)
( 75 ) Expanded of Informal Jobs in Iranian Border Cities, Case: Zabol-Iran
( 76 ) The Roles of Productive Safety Net Program (PSNP) On the Practices of Soil and Water Conservation in the Case of Sekela District, Amhara State, Ethiopia
( 77 ) Predicting Changes in the Land Use in Midsize Cities (Case Study: Urmia City of Iran in 2025)
( 78 ) The Effect of Ergonomics on Sustainable Urban Development: A Case Study
( 79 ) A Study on River Ecotourism Development: Case Study: Karaj River
( 80 ) Theoretical Solution of the Diffusion Equation in Unstable Case
( 81 ) Prioritization of Museums in Terms of Performance in Attracting Tourists (Case Study: Museum of North of Sistan and Baluchestan Province)
( 83 ) Indicators of Sustainability in Vernacular Settlements Hot Dry Region of Iran, [Case Study: Kerman-Meymand]
( 85 ) Net-Zero Energy Building – Case Study Al Khobar City, Saudi Arabia
( 86 ) The Role of Stratigraphy in Growth Strata Studies: A Case Study from the Middle-Late Cretaceous Deposits in Persian Gulf, SW Iran
( 88 ) 'Manifestations and Extent of Climate Change'. The Case of Merti District, Arsi Zone, Oromiya Region, Ethiopia
( 89 ) Determinants of Farmers’ Engagement in Off-Farm (Non-Farm Activities) as Copping Strategies to Climate Change: The Case of Merti, Arsi Zone, Oromiya Regional State, Ethiopia
( 90 ) The Relationship Between Low-Carbon Finance and Sustainable Development: A Case Study of Industrial Bank of China
( 91 ) Political Economy and Stakeholder Perspectives on Inclusive Low-Carbon Energy Transition: Case of Kenyan Rangelands
( 92 ) A Comparative Study of Physical and Chemical Parameters in Sistan and Baluchistan University Wastewater and Its Re-Use of Wastewater
( 93 ) A Study of Stream Sediments from Soltan Meydan Basaltic Formation Area, Northern Iran
( 94 ) Spatio-Temporal Analysis of Agricultural Development A Block-Wise Study of Dehradun District