An Integrated MATLAB-ArcGIS Toolbox for Landfill Suitability Mapping Using Neural Networks

Year 2025, Volume: 20 Issue: 1, 121 - 133, 27.03.2025

Sohaib K M Abujayyab , Mohd Sanusi S. Ahamad

https://doi.org/10.55525/tjst.1404350

Abstract

The Neural Network Toolbox for Landfill Suitability Mapping presents a novel approach to enhance solid waste management by automating landfill site selection using a combination of Python-ArcGIS and MATLAB environments. This study addresses the critical need for efficient landfill suitability mapping, which is essential for minimizing environmental risks and optimizing land use. We developed an automated toolbox that integrates the capabilities of MATLAB for neural network modeling with Python scripting in ArcGIS, facilitating a user-friendly workflow for decision-makers. Our methodology was tested in the northern region of Peninsular Malaysia, employing 14 specific criteria to generate training and testing datasets. The results of neural network model achieving an accuracy of 82%. This toolbox streamlines the process by automating various stages, from data preparation to suitability mapping, reducing the likelihood of human errors and minimizing processing time. The flexibility, interoperability, and user-friendly interface of the toolbox make it accessible to users with varying levels of GIS expertise, ensuring its adaptability to different geographic regions and environmental conditions. This research contributes to more efficient, accurate, and sustainable landfill site selection, benefiting decision-makers and supporting broader environmental protection efforts.

Keywords

Landfill Suitability Mapping, Neural Networks, ArcGIS, Decision-Makers, Spatial Data

Sinir Ağı Kullanarak Düzenli Depolama Alanı Uygunluk Haritalaması için Entegre MATLAB-ArcGIS Araç Kutusu

Abstract

Atık depolama Sahası Uygunluk Haritalaması için Sinir Ağı Araç Kutusu, Python-ArcGIS ve MATLAB ortamlarının bir kombinasyonunu kullanarak depolama sahası seçimini otomatikleştirerek katı atık yönetimini geliştirmek için yeni bir yaklaşım sunar. Bu çalışma, çevresel risklerin en aza indirilmesi ve arazi kullanımının optimize edilmesi için gerekli olan verimli depolama sahası uygunluk haritalamasına yönelik kritik ihtiyacı ele almaktadır. Karar vericiler için kullanıcı dostu bir iş akışını kolaylaştıran, MATLAB’ın sinir ağı modelleme yeteneklerini ArcGIS’teki Python komut dosyası oluşturma ile birleştiren otomatik bir araç kutusu geliştirdik. Metodolojimiz Malezya Yarımadası’nın kuzey bölgesinde, eğitim ve test veri kümeleri oluşturmak için 14 spesifik kriter kullanılarak test edildi. Sinir ağı modelinin sonuçları %82 doğruluk oranına ulaşmıştır. Bu araç kutusu, veri hazırlamadan uygunluk haritalamasına kadar çeşitli aşamaları otomatikleştirerek, insan hatası olasılığını azaltarak ve işlem süresini en aza indirerek süreci kolaylaştırır. Araç kutusunun esnekliği, birlikte çalışabilirliği ve kullanıcı dostu arayüzü, onu farklı düzeylerde CBS uzmanlığına sahip kullanıcılar için erişilebilir hale getirerek farklı coğrafi bölgelere ve çevre koşullarına uyarlanabilirliğini sağlar. Bu araştırma, daha verimli, doğru ve sürdürülebilir depolama alanı seçimine katkıda bulunarak karar vericilere fayda sağlar ve daha geniş çevre koruma çabalarını destekler.

Keywords

Atık Depolama Sahasına Uygunluk Haritalaması, Sinir Ağı, ArcGIS, Karar Vericiler, Mekansal Veriler

References

• Demesouka OE, Anagnostopoulos KP, Siskos E. Spatial multicriteria decision support for robust land-use suitability: The case of landfill site selection in Northeastern Greece. Eur J Oper Res 2019; 272:574–86.
• Demesouka OE, Vavatsikos AP, Anagnostopoulos KP. Suitability analysis for siting MSW landfills and its multicriteria spatial decision support system: Method, implementation and case study. Waste Management 2013; 33:1190–206.
• Owoseni JO. Landfill site suitability mapping for rational development planning: a GIS-based multi-criteria evaluation in Edo State, Nigeria. GeoJournal 2023; 88:4603–24.
• Demesouka OE, Vavatsikos AP, Anagnostopoulos KP. GIS-based multicriteria municipal solid waste landfill suitability analysis: A review of the methodologies performed and criteria implemented. Waste Management & Research 2014; 32:270–96.
• Karipoğlu F, Koca K, Zeray Öztürk E. GIS-AHP Approach for A Comprehensıve Framework to Determıne the Suıtable Regıons for Geothermal Power Plants in Izmır, Türkiye. Konya Journal of Engineering Sciences [Internet] 2024;12:263–79. Available from: https://doi.org/10.36306/konjes.1381523
• Mir MA, Ghazvinei PT, Sulaiman NMN, Basri NEA, Saheri S, Mahmood NZ, et al. Application of {TOPSIS} and {VIKOR} improved versions in a multi criteria decision analysis to develop an optimized municipal solid waste management model. J Environ Manage 2016;166:109–15.
• Khan D, Samadder SR. Municipal solid waste management using Geographical Information System aided methods: A mini review. Waste Management & Research 2014;32:1049–62.
• Ahmad SZ, Ahamad MSS, Wan Hussin WMA. Application of gis in extracting spatial criteria from existing landfill site a study on pulau burong landfill site. In: 13th International Surveyor Congress. Malaysia: 2011.
• Afzali A, Samani JM V, Rashid M. Municipal landfill site selection for Isfahan City by use of fuzzy logic and analytic hierarchy process. Iranian J Environ Health Sci Eng 2011;8:273–84.
• Ghobadi MH, Babazadeh R, Bagheri V. Siting MSW landfills by combining AHP with GIS in Hamedan province, western Iran. Environ Earth Sci 2013;70:1823–40.
• Javaheri H, Nasrabadi T, Jafarian MH, Rowshan GR, Khoshnam H. Site selection of municipal solid waste landfills using analytical hierarchy process method in a geographical information technology environment in giroft. 2006;3:177–84.
• Mahamid, Thawaba S. Multi criteria and landfill site selection using GIS: a case study from Palestine. Open Environmental Engineering Journal 2010;3:33–41.
• Pradhan B, Billa L. GIS modeling for selection of a transfer station site for residential solid waste separation and recycling. Pertanika J Sci Technol 2013;21:477–88.
• Son LH, Louati A. Modeling municipal solid waste collection: A generalized vehicle routing model with multiple transfer stations, gather sites and inhomogeneous vehicles in time windows. Waste Management 2016;52:34–49.
• Günay EE, Dere S. Hazardous Solid Waste Landfill Site Selection for İstanbul, Türkiye using Multi-Criteria Decision-Making Methods and GIS Data. Journal of Advanced Research in Natural and Applied Sciences [Internet] 2024;10:446–63. Available from: https://doi.org/10.28979/jarnas.1416814
• Tulun Ş, Gürbüz E, Arsu T. Developing a GIS-based landfill site suitability map for the Aksaray province, Turkey. Environ Earth Sci 2021;80.
• Macalam FJT, Arreza KP, Magpantay AT, Rabaño KY. Landfill Site Suitability Assessment Using Geographic Information System (GIS) and Analytic Hierarchy Process (AHP) in Butuan City, Philippines. Journal of Environmental and Earth Sciences 2023;5.
• Gupta N, Yadav KK, Kumar V. A review on current status of municipal solid waste management in India. Journal of Environmental Sciences 2015;37:206–17.
• Wijesinghe DC. GIS-based AHP and MCDA Modeling for Cropland Suitability Analysis: A Bibliometric Analysis. Gazi University Journal of Science Part A: Engineering and Innovation [Internet] 2024;11:598–621. Available from: https://doi.org/10.54287/gujsa.1510527
• Majumdar A, Hazra T, Dutta A. Landfill Site Selection by AHP Based Multi-criteria Decision Making Tool: A Case Study in Kolkata, India. Journal of The Institution of Engineers (India): Series A 2017;98:277–83.
• Eldrandaly K. Developing a GIS-based MCE site selection tool in ArcGIS using COM technology. Int. Arab J. Inf. Technol. 2013;10:276–82.
• Daneshvar R. Customizing arcmap interface to generate a user-friendly landfill site selection GIS tool. 2004;
• Yesilnacar MI, Süzen ML, Kaya BŞ, Doyuran V. Municipal solid waste landfill site selection for the city of Şanliurfa-Turkey: an example using MCDA integrated with GIS. Int J Digit Earth 2011;5:147–64.