Landfilling is an inevitable step for the municipal solid waste (MSW) management system in developing countries. This article presents a Spatial Decision Support System (SDSS) that was developed for the monitoring of municipal landfills and siting the new places for waste disposal at Mazandaran province, south of Caspian Sea, Iran. The effective criteria and evaluation constraints were chosen according to the Iran waste management law. The ArcGIS 10.4.1 software was used for creating a geospatial database and the analytic hierarchy process (AHP) was used for ranking the criteria. By integrating the criteria, a suitability map was generated into four categories: high suitability, moderate suitability, low suitability and illegal areas. Using ArcGIS online, the maps were shared on a website that was specifically designed for this purpose. The decision-makers can check online the laws, the effective criteria and the results of spatial analysis for optimal siting. Also, the results of environmental evaluations for active landfills have been provided. Given the characteristics of active landfills and the optimal sites for the possible development, the SDSS can provide a mutually beneficial relationship between the experts, decision-makers and stakeholders to decide about the priority of actions required for the relocation of landfills, site closure or emergency care.
AbessiOSaeediM (2009) Site selection of a hazardous waste landfill using GIS technique and priority processing, a power plant waste in Qazvin province case example. Environmental Sciences6: 121–134.
2.
AbessiOSaeediM (2010) Hazardous waste landfill siting using GIS technique and analytical hierarchy process. Environmental Asia3: 69–78.
3.
AksoyESanBT (2019) Geographical information systems (GIS) and multi-criteria decision analysis (MCDA) integration for sustainable landfill site selection considering dynamic data source. Bulletin of Engineering Geology and the Environment78: 779–791.
4.
AlkaradaghiKAliSSAl-AnsariNet al. (2019) Landfill site selection using MCDM methods and GIS in the sulaimaniyah governorate, Iraq. Sustainability11: 4530.
5.
AsifKChaudhryMNAshrafU, et al. (2020) A GIS-based multi-criteria evaluation of landfill site selection in Lahore, Pakistan. Environmental Studies29: 1511–1521.
6.
BalewAAlemuMLeulY, et al. (2020) Suitable landfill site selection using GIS-based multi-criteria decision analysis and evaluation in Robe Town, Ethiopia. GeoJournal. Epub ahead of print 3September. DOI: 10.1007/s10708-020-10284-3.
7.
BarzehkarMDinanNMMazaheriS, et al. (2019) Landfill site selection using GIS-based multi-criteria evaluation (case study: SaharKhiz Region located in Gilan Province in Iran). Applied Science1: 1–11.
8.
ChabukAAl-AnsariNHussainHM, et al. (2017a) Combining GIS applications and method of multi-criteria decision-making (AHP) for landfill siting in Al-Hashimiyah Qadhaa, Babylon, Iraq. Sustainability9: 123–141.
9.
ChabukAAl-AnsariNHussainHM, et al. (2017b) GIS-based assessment of combined AHP and SAW methods for selecting suitable sites for landfill in Al-Musayiab Qadhaa, Babylon, Iraq. Environmental Earth Science76: 209–220.
10.
ChabukAAl-AnsariNHussainHM, et al. (2019) Landfill sites selection using MCDM and comparing method of change detection for Babylon Governorate, Iraq. Environmental Science & Pollution Research26: 35325–35339.
11.
DinMAMJaafarWZWObotMM, et al. (2008) How GIS can be a useful tool to deal with landfill site selection. International Symposium on Geoinformatics for Spatial Infrastructure Development in Earth and Applied Sciences2: 535–541.
12.
GhajaryYEAlesheikhAA (2008) Developing a moving objects management system. Journal of Applied Sciences8: 3827–3835.
13.
GhayebzadehMAslaniHTaghipourH, et al. (2020) Estimation of plastic waste inputs from land into the Caspian Sea: A significant unseen marine pollution. Marine Pollution Bulletin151: 110871.
14.
GhorbanpourZAbessiOKardelF (2021) Evaluation of the ecological risk for the tunnel drilling waste of Tehran-Shomal highway on Chaloos River. JWSS-Isfahan University of Technology24: 37–55.
15.
GorsevskiPVDonevskaKRMitrovskiCD, et al. (2012) Integrating multi-criteria evaluation techniques with geographic information systems for landfill site selection: A case study using ordered weighted average. Waste Management32: 287–296.
16.
KahvandMGheitaraniNKhanianM, et al. (2015) Urban solid waste landfill selection by SDSS – Case study: Hamadan. Environmental Protection Engineering41: 47–56.
17.
KaraCDoratliN (2012) Application of GIS/AHP in siting sanitary landfill: A case study in Northern Cyprus. Waste Management & Research30: 966–980.
18.
KarakusCBDemiroğluDÇobanA, et al. (2020) Evaluation of GIS-based multi-criteria decision-making methods for sanitary landfill site selection: The case of Sivas city, Turkey. Journal of Material Cycles and Waste Management22: 254–272.
19.
KhanDSamadderSR (2014) Municipal solid waste management using Geographical Information System aided methods: A mini review. Waste Management & Research32: 1049–1062.
20.
KharatMGKambleSJRautRD, et al. (2016) Modeling landfill site selection using an integrated fuzzy MCDM approach. Modeling Earth Systems and Environment2: 53.
21.
KhodaparastMRajabiAMEdalatA (2018) Municipal solid waste landfill siting by using GIS and analytical hierarchy process (AHP): A case study in Qom city, Iran. Environmental Earth Sciences77: 1–12.
22.
KumarSHassanMI (2013) Selection of a landfill site for solid waste management: An application of AHP and spatial analyst tool. Journal of the Indian Society of Remote Sensing41: 45–56.
23.
LukashehAFDrosteRLWarithMA (2001) Review of expert system (ES), geographic information system (GIS), decision support system (DSS), and their applications in landfill design and management. Waste Management & Research19: 177–185.
24.
MariushkoMVPashchenkoRENechausovAS (2018) Cloud system ArcGIS online as a managerial decision-making tool in agricultural production. In: Proceedings of the IEEE 9th international conference on dependable systems, services and technologies (DESSERT), Kyiv, 24–27 May, pp.534–538. New York: IEEE.
25.
MasseiGRocchiLPaolottiL, et al. (2014) Decision Support Systems for environmental management: A case study on wastewater from agriculture. Environmental Management146: 491–504.
26.
MotlaghZKSayadiMH (2015) Siting MSW landfills using MCE methodology in GIS environment (Case study: Birjand plain, Iran). Waste Management46: 322–337.
27.
OtunOW (2017) Malaysian Journal of Applied Sciences spatial decision support systems for locating waste landfills. Malaysian. Applied Science2: 19–34.
28.
RahmatZGNiriMVAlaviN, et al. (2017) Landfill site selection using GIS and AHP: A case study: Behbahan, Iran. KSCE Journal of Civil Engineering21: 111–118.
29.
SaatyTL (1980) The Analytic Hierarchy Process. New York: McGraw-Hill.
30.
SaatyTLVargasLG (2012) Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. New York: Springer.
31.
SaeediMAbessiOSharifiF, et al. (2010) Development of groundwater quality index. Environmental Monitoring and Assessment163: 327–335.
32.
SajjadiSAAliakbariZMatlabiM, et al. (2017) Environmental impact assessment of Gonabad municipal waste landfill site using Leopold Matrix. Electronic Physician9: 3714–3719.
33.
SenerBSüzenMLDoyuranV (2006) Landfill site selection by using geographic information systems. Environmental Geology49: 376–388.
34.
ShaeriAMRahmatiA (2011) Human Environmental Law Regulation, Criteria and Standards. Tehran, Iran: Department of Environment.
35.
UyanM (2014) MSW landfill site selection by combining AHP with GIS for Konya, Turkey. Environmental Earth Sciences71: 1629–1639.
36.
WangGQinLLiG, et al. (2009) Landfill site selection using spatial information technologies and AHP: A case study in Beijing, China. Environmental Management90: 2414–2421.
37.
ZakerianSMokhtariMAlhosseiniAlmodaresi SA (2015) Evaluation of a landfill site using AHP and TOPSIS models: A case study of Ardakan Landfill, Iran. Avicenna Journal of Environmental Health Engineering2: 11–12.
38.
ZamoranoMMoleroEHurtadoA, et al. (2008) Evaluation of a municipal landfill site in Southern Spain with GIS-aided methodology. Hazardous Materials160: 473–481.
