Landfill sites selection through analytical hierarchy process for twin cities of Islamabad and Rawalpindi, Pakistan

Islam, Aneeza; Ali, Syeda Maria; Afzaal, Muhammad; Iqbal, Saba; Zaidi, S. N. F.

doi:10.1007/s12665-018-7239-3

Cited by 23 publications

(19 citation statements)

References 23 publications

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“…WSM is a straightforward MCDM method, used for solid waste LFS selection [37,[104][105][106]. This method considers that all factors have equal weight, which is one of its deficiencies [107,108].…”

Section: Weighted Sum Methods (Wsm)mentioning

confidence: 99%

Insights for Landfill Site Selection Using GIS: A Case Study in the Tanjero River Basin, Kurdistan Region, Iraq

et al. 2021

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The increasing world population and the growing quantity of solid waste have become a challenging problem facing governments and policy makers because of the scarcity of suitable sites for new landfills and the negative perception of these sites by the people. This study aims to evaluate the performance of different Multi-Criteria Decision-Analysis (MCDA) approaches using remote sensing and Geographic Information System (GIS) data for identifying suitable landfill sites (LFSs). We evaluated the methodologies used by various investigators and selected appropriate ones as suitable sites for Municipal Solid Waste (MSW) landfill in the Tanjero River Basin (TRB) in the Iraqi Kurdistan region. We applied Boolean Overlay (BO), Weighted Sum Method (WSM), Weighted Product Method (WPM), Analytic Hierarchy Process (AHP), and Technique for Order Performance by Similarity to an Ideal Solution (TOPSIS) to allow combined use of 15 thematic layers as predictive factors (PFs). In this study, we applied the Topographic Position Index (TPI) for the first time to select MSW LFSs. Almost all methods showed reliable results and we identified eight suitable sites situated in the western part of the TRB having total area of ~18.35 km2. The best accuracy was achieved using the AHP approach. This paper emphasizes that the approach of the used method is useful for selecting LFSs in other areas, which are located in similar environments.

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Section: Weighted Sum Methods (Wsm)mentioning

confidence: 99%

Insights for Landfill Site Selection Using GIS: A Case Study in the Tanjero River Basin, Kurdistan Region, Iraq

et al. 2021

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“…Thus, the slope is a vital economic and technical parameter in landfill site selection. Various slope threshold values have been used to choose a suitable location for the landfill in the literature [24]. Land surface with steep slopes and high elevation is unsuitable for selecting a location for landfill sites [48].…”

Section: Physical Criteriamentioning

confidence: 99%

“…In their study, many criteria including, distance from residential areas, distance from faults, distance from roads, elevation, slope, aspect, geology, distance from surface water, groundwater, land use wise many criteria have been used. Islam et al [24] have applied the AHP-GIS integration to choose suitable landfill sites in Pakistan, Islamabad, and Rawalpindi. Their results indicated that 34% of the study area were unsuitable, and 20% were highly suitable.…”

Section: Introductionmentioning

confidence: 99%

Municipal Solid Waste Disposal Site Selection Using Remote Sensing Technology and AHP Process (Case Study: Khesht city, Fars Province, Iran)

Rouhani¹

2021

BEN

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The design and implementation of the municipal waste management system aim to solve the urban issues and ultimately contribute to the citizens' health and welfare. The first step in this system is to select a site for the safe disposal of wastes. This survey aimed to select the most suitable landfill site for municipal solid waste using the geographic information system (GIS) and the analytic hierarchy process (AHP) model following the environmental, economic, and engineering criteria. Therefore, by reviewing the literature and backgrounds, the parameters required for locating the landfill site were extracted, and the most important ones (15 sub-criteria) were selected and divided into four groups. The results showed that the sub-criterion of distance to the river with the weight of 0.218 was identified as the most critical parameter, followed by groundwater depth. In this way, the flooding parameter with the weight of 0.010 was considered the least important variable. In addition, it was found that the moderate suitability class with 50% of the area had the highest area, and the very high suitability with 0.8% had the lowest area. The inconsistency rate was equal to 0.04, which illustrates the high consistency of matrices. Then, the overlaying was carried out, and three sites were determined as the best place for a landfill in Khesht county.

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“…Midatana et.al(2018) used the hybrid method of AHP, TOPSIS, and GIS to evalaute and determine the asppropriate location for the construction of industrial centers. Islam et al(2018) used AHP and GIS techniques to determine the disposal municipal solid waste disposal sites in Islamabad and Rawalpindi in Pakistan considering the critera of ground waters, surafe waters, vegetation, soil type, protected areas, roads, slope, residential towns, airports and railways. Mohammed et al (2018) analyzed the appropriate disposal sites for municipal waste using multi-criteria decision-making techniques (weighted liner combination, AHP, and fuzzy logic, and GIS).…”

Section: Introductionmentioning

confidence: 99%

“…Shah & et al (2019),Danesh & et al (2019),Feyzi & et al (2019),Alam & et al (2019),Ghazifard and Mortazavi Chamchali (2019),Abdullah et al(2019), Ebadi Torkayesh et al(2019),Wadhwa (2018),Wichapa & Khokhajaikiat(2018),Midatana et.al(2018,Islam et al(2018,Mohammed et al (2018),Saatsaz et.al (2018),Yousefi & et al (2018),,, Nabi Dar et al(2018),Yildirim et al (2018),Ding & et al (2018),, Syed Ismail(2017), Memarbashi et al (2017), Guler & Yomralıoglu (2017), Chabuk et al (2017), Hariz & et al (2017), Kharat et al (2016), Fagbohun & Aladejana (2016), Chauhan & Singh (2016) Slope C1 Shah & et al (2019),Danesh & et al (2019),Feyzi & et al (2019),Alam & et al (2019), Ghazifard and Mortazavi Chamchali (2019), Abdullah et al(2019), Ebadi Torkayesh et al(2019), Wadhwa (2018), Wichapa & Khokhajaikiat(2018), Midatana et.al(2018,Islam et al(2018), Mohammed et al (2018), Saatsaz et.al (2018), Yousefi & et al (2018), Soroudi & et al (2018), Soroudi et al (2018), Nabi Dar et al (2018), Yildirim et al (2018), Ding & et al (2018), Mohammed et al(2017), Syed Ismail(2017), Memarbashi et al (2017), Guler & Yomralıoglu (2017), Chabuk et al (2017), Hariz & et al (2017), Kharat et al (2016), Fagbohun & Aladejana (2016), Chauhan & Singh (2016) Height C2 Shah & et al (2019),Danesh & et al (2019),Feyzi & et al (2019),Alam & et al (2019), Ghazifard and Mortazavi Chamchali (2019), Abdullah et al(2019), Ebadi Torkayesh et al(2019), Wadhwa (2018), Wichapa & Khokhajaikiat(2018), Midatana et.al(2018,Islam et al(2018), Mohammed et al (2018), Saatsaz et.al (2018), Yousefi & et al (2018), Soroudi & et al (2018), Soroudi et al (2018), Nabi Dar et al (2018), Yildirim et al (2018), Ding & et al (2018), Mohammed et al(2017), Syed Ismail(2017), Memarbashi et al (2017), Guler & Yomralıoglu (2017), Chabuk et al (2017), Hariz & et al (2017), Kharat et al (2016), Fagbohun & Aladejana (2016), Chauhan & Singh (2016) Soil type C3 Shah & et al (2019),Danesh & et al (2019),Feyzi & et al (2019),Alam & et al (2019), Ghazifard and Mortazavi Chamchali (2019), Abdullah et al(2019), Ebadi Torkayesh et al(2019), Wadhwa (2018), Wichapa & Khokhajaikiat(2018), Midatana et.al(2018,Islam et al(2018), Mohammed et al (2018), Saatsaz et.al (2018), Yousefi & et al (2018), Soroudi & et al (2018), Soroudi et al (2018), Nabi Dar et al (2018), Yildirim et al (2018), Ding & et al (2018), Mohammed et al(2017), Syed Ismail(2017), Memarbashi et al (2017), Guler & Yomralıoglu (2017), Chabuk et al (2017), Hariz & et al (2017), Kharat et al (2016), Fagbohun & Aladejana (2016), Chauhan & Singh (2016) Distance from fault C4 Shah & et al (2019),Danesh & et al (2019),Feyzi & et al (2019),Alam & et al (2019), Ghazifard and Mortazavi Chamchali (2019), Abdullah et al(2019), Ebadi Torkayesh et al(2019), Wadhwa (2018), Wichapa & Khokhajaikiat(2018), Midatana et.al(2018,Islam et al(2018), Mohammed et al (2018), Saatsaz et.al (2018), ...…”

mentioning

confidence: 99%

Location of Hospital Waste Disposal Site With FSWARA-GIS-MAIRCA Hybrid Algorithm

Frh¹,

Modiri²,

Kf³

et al. 2020

Preprint

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Background: One of the major environmental issues facing most societies is the management of waste, industrial, medical and hazardous waste. Locating is an activity that analyzes the capabilities of an area in terms of whether the land is suitable for a particular application. The metrics used in location vary by application type, but they are all aligned to select the right location. Choosing the right burial site for waste is the most important step in waste management. Inappropriate burial selection causes contamination of water, soil and air in the area. The ultimate goal is to find the most suitable location that has the least impact on the environment and natural resources around, and is economically the least costly and engineered. Results: In this study, we chose south of Tehran as a case study to implement the FSWARA-GISMAIRCA Hybrid Algorithm. Selecting inappropriate locations for hospital waste disposal site at the southeast of Tehran province is one of the environmental problems of this region causing damage to the environment and pollution of ground waters. Since waste disposal site is the most economic, accepted, and important method in most areas, the present study aimed to locate the hospital waste disposal site at the southeast of Tehran province. Using fuzzy Delphi method, nine criteria (slope, height, soil type, distance from fault, distance from surface water, depth of ground waters, distance from residential areas, distance from hospitals and distance from road) were finally selected as the final criteria. Then, the desired criteria were weighed using the FSWARA and entered the GIS system as information layers to calculate the final maps for the appropriate zones, which eight locations were selected for waste disposal site. Conclusions: Finally, using the MAIRCA method, the selected locations were ranked and finally among these eight locations, the fourth point was selected as the final location for hospital waste disposal site at the southeast of Tehran. According to the desired criteria with 34 degree slope, 1008 meters high, 3.4841 meters distance from fault, 8.4428 meters distance from surface water, 12 meters depth of ground waters, 457 meters distance from residential areas, 6.4749 meters distance from hospitals, and 1598 meters distance from road.

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Landfill sites selection through analytical hierarchy process for twin cities of Islamabad and Rawalpindi, Pakistan

Cited by 23 publications

References 23 publications

Insights for Landfill Site Selection Using GIS: A Case Study in the Tanjero River Basin, Kurdistan Region, Iraq

Insights for Landfill Site Selection Using GIS: A Case Study in the Tanjero River Basin, Kurdistan Region, Iraq

Municipal Solid Waste Disposal Site Selection Using Remote Sensing Technology and AHP Process (Case Study: Khesht city, Fars Province, Iran)

Location of Hospital Waste Disposal Site With FSWARA-GIS-MAIRCA Hybrid Algorithm

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