Landfill site selection for municipal solid wastes in mountainous areas with landslide susceptibility

Abstract

Several cities across the world are located in mountainous and landslide prone areas. Any landfill siting without considering landslide susceptibility in such regions may impose additional environmental adversity. This study was aimed to propose a practical method for selecting waste disposal site that accounts for landslide exposure. The proposed method was applied to a city which is highly proneness to landslide due to its geology, morphology, and climatic conditions. First, information on the previously occurred landslides of the region was collected. Based on this information, proper landslide causative factors were selected and their thematic maps were prepared. Factors' classes were then standardized in 0-1 domain, and thematic layers were weighted by using analytical hierarchy process (AHP). The landslide susceptibility map was prepared afterwards. Unsuitable areas for landfill location were masked in GIS environment by Boolean method, retaining sufficient areas for further evaluation. Nine remaining alternatives were selected through comprehensive field visits and were ranked by using AHP. Consequently, 17 factors in three environmental, economical, and social perspectives were employed. Sensitivity analyses were performed to assess the stability of the alternatives ranking with respect to variations in criterion weights. Based on the obtained landslide susceptible map, nearly 36 % of the entire region is proneness to landslide. The prepared Boolean map indicates that potential areas for landfill construction cover 11 % of the whole region. The results further indicated that if landslide susceptible areas are not considered in landfill site selection, the potential landfill sites would become more than twice. It can be concluded that if any of these landslide prone sites are selected for landfilling, further environmental disaster would be terminated in the future. It can be further concluded that the proposed method could reasonably well be adjusted to consider landslide exposure when siting a solid waste landfill.

Modeling the environmental susceptibility of landfill sites in California

“…Step 1: selection of environmental decision criteria 100 In this study, the environmental factors and indicators selected were based on the literature that takes into account the environmental impact susceptibility associated with landfill sites (Leão, Bishop, and Evans 2004;Butt, Lockley, and Oduyemi 2008;Eskandari, Homaee, and Mahmodi 2012;Gbanie et al 2013;Butt et al 2014;Khan and Samadder 2015;Maanifar and Fataei 2015;Motlagh and Sayadi 2015;Eskandari et al 2015; 105 Bahrani et al 2016;Chabuk et al 2016;Chonattu, Prabhakar, and Harikumar 2016b;Demesouka, Vavatsikos, and Anagnostopoulos 2016;Chonattu, Prabhakar, and Harikumar 2016b AQ6 ; Kharat et al 2016;Eskandari, Homaee, and Falamaki 2016;Yıldırım and Güler 2016;Zhang et al 2016). In addition, existing guidelines, relevant legislation and regulations, experts' opinions obtained in informal meetings, and available relevant 110 data were considered in the development of the EISM.…”

“…Climatic conditions significantly influence the SW decomposition and degradation process, which control the generation of the two main by-products of SW landfilling which are leachate and gas (Tchobanoglous, Theisen, and Vigil 1993;Yesiller, Hanson, and Liu 2005). Climatic aspects were also considered in previous investigations (Maanifar and 170 Fataei 2015;Chonattu, Prabhakar, and Harikumar 2016b AQ7 ; Eskandari, Homaee, and Falamaki 2016;Kharat et al 2016). In this study, we used the most significant climatic environmental indicators of (i) precipitation and (ii) temperature.…”

Sanitary landfill site selection using multi-criteria decision analysis and analytical hierarchy process: A case study in Azuay province, Ecuador

“…According to the Ecuadorian regulation, there were considered seven constraints: a buffer of 500 m from urban areas and populated centres to protect public health from air, soil, and water contamination; a buffer of 13 km from airports because odour and noise of SLFs produce an uncomfortable environment for passengers; in the case of aeroplanes, an SLF could cause unfavourable conditions associated with the presence of birds (Saatsaz et al, 2018); an influence zone of 500 m around archaeological sites to maintain the community's historical memory and identity; a proximity area of 200 m from rivers must be restricted (Figure 6(a)), as well as all protected natural areas (Figure 6(b)); and, finally, landslide-prone areas (Figure 6(c)) and floodingprone areas (Figure 6(d)), as they may cause deaths, damage, economic losses, and environmental disasters. Thus, such hazards must be taken into account for assertive SLF building to reduce negative consequences (Eskandari et al, 2016).…”

Site selection for municipal solid waste landfills in arid regions based on fuzzy decision-making：A Case Study in the Hexi Corridor of China

“…However, a few studies in the literature describe the combination of more than 20 evaluation criteria with multiple fuzzy membership functions. The adoption of multiple sets of fuzzy membership functions for scenario simulation can better transform the logical relation of criterion attributes to membership degree, effectively reducing the uncertainty of decision-making (Eskandari et al, 2016). As relates verifications, nighttime satellite imagery and sensitivity analysis have been exploited to verify the LSSR (Karimi et al, 2020).…”