The use of fuzzy logic spatial modeling via GIS for landfill site selection (case study: Rudbar-Iran)

Chamchali, M Mortazavi; Ghazifard, Akbar

doi:10.1007/s12665-019-8296-y

Cited by 21 publications

(11 citation statements)

References 17 publications

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“…In this study, 27 input map layers (Table 1) were evaluated and prepared to be used in the analysis of GIS environment (Mortazavi Chamchali and Ghazifard, 2019). In this regard, based on the nature of data, various organizations and research institutes were used to collect data.…”

Section: Methodsmentioning

confidence: 99%

“…The cornerstone of selecting these restricted parameters is the existing standards about the suitability of a location for landfill construction. At the end of this stage, maps of each restricted parameter can be obtained as a map with 1-pixel value for proper regions and 0-pixel values for improper regions (Mortazavi Chamchali and Ghazifard, 2019). After the identification of proper regions for landfill construction, the composition of these maps is required to extract proper regions from restricted maps and to find susceptible regions (Mortazavi Chamchali et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

“…In Equation (4), P p = current population of the region and P ft = the predicted population in t th year. Eventually, to evaluate the proper area, the volume of the sanitary landfill during 20 years obtained from previous steps should be divided by the predicted height of landfills’ fill up (Mortazavi Chamchali and Ghazifard, 2019). The proper area for landfill construction is the basis of selecting final susceptible regions.…”

Section: Methodsmentioning

confidence: 99%

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A comparison of fuzzy logic and TOPSIS methods for landfill site selection according to field visits, engineering geology approach and geotechnical experiments (case study: Rudbar County, Iran)

Chamchali

Ghazifard

2020

Waste Manag Res

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The present study evaluated and selected the best location among susceptible landfill sites in Rudbar County using 27 criteria, as the maximum effective criteria, in the decision-making process. The emergence and comparison between the two methods of fuzzy and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) with an engineering–geological approach have been conducted to obtain the best results. In this regard, inappropriate regions for landfill construction have been restricted after the conflation of two maps based on the restriction criteria. Then, the direction of prevailing winds and proper area for landfill construction was investigated for a 20-year perspective, and the regions that had more than 35-hectare area and were not located in the direction of the prevailing winds have been identified as responsive sites for landfill construction. Ultimately, selected susceptible regions were prioritized separately based on the TOPSIS and fuzzy methods. To ascertain the accuracy of the results and the reality of the resulted models, complementary field studies, geotechnical digging, and engineering–geological experiments have been used as verification parameters. According to the results of the verification, the fuzzy model having maximum matches with the verified data has been suggested for prioritizing susceptible regions.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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A comparison of fuzzy logic and TOPSIS methods for landfill site selection according to field visits, engineering geology approach and geotechnical experiments (case study: Rudbar County, Iran)

Chamchali

Ghazifard

2020

Waste Manag Res

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“…Ersoy and Bulut, 2009;Güler and Yomralıoglu, 2017;Nas et al, 2010;Ş ener et al, 2011Uyan, 2013;Yesilnacar et al, 2012), Iran (e.g. Adeli and Khorshiddoust, 2011;Alavi et al, 2013;Eskandari et al, 2012;Ghobadi et al, 2017;Mortazavi Chamchali and Ghazifard, 2019;Nascimento et al, 2017;Rahmat et al, 2016;Sharifi et al, 2009;Yazdani et al, 2015), Iraq (e.g. Chabuk et al, 2016Chabuk et al, , 2017, India (e.g.…”

Section: Introductionmentioning

confidence: 99%

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

Mora

Peláez

2020

Waste Manag Res

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Despite environmental regulations in Ecuador, particularly in the Province of Azuay, the solid waste final disposal management is still a socio-environmental problem, worsened by weak governance processes. The province has three sanitary landfills with almost expired service lives. The site selection was based on circumstantial reasons, which makes landfills more likely to cause environmental pollution and, therefore, have negative implications for public health. The largest landfill serves Cuenca and also leases service to other small cities. The remaining two are small and, accordingly, have limited technology and fewer resources. In this context, the main aim of this study is to evaluate the terrain of the province to find the most suitable area for landfill siting. A multi-criteria decision analysis, integrated with a geographical information system and analytical hierarchy process methodology, was conducted. Fourteen factors and seven constraints were simultaneously analysed, divided into technical, environmental, social, and economic categories; 15 of these criteria were from the Ecuadorian Unified Text of the Secondary Legislation of the Environmental Ministry. According to the results, 76.17% of the territory is not suitable for landfill implementation, and the unrestricted area represents the remaining 23.83%. The highest landfill suitability index (70–81%) is located in the south of the province in Santa Isabel, Oña, and Nabón cantons, which are dry and clay-rich areas.

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“…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), ...…”

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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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The use of fuzzy logic spatial modeling via GIS for landfill site selection (case study: Rudbar-Iran)

Cited by 21 publications

References 17 publications

A comparison of fuzzy logic and TOPSIS methods for landfill site selection according to field visits, engineering geology approach and geotechnical experiments (case study: Rudbar County, Iran)

A comparison of fuzzy logic and TOPSIS methods for landfill site selection according to field visits, engineering geology approach and geotechnical experiments (case study: Rudbar County, Iran)

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

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

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