Compilation of a model for hazardous waste disposal site selection using GIS-based multi-purpose decision-making models

Danesh, Ghazaleh; Monavari, Seyed Masoud; Omrani, Ghasem Ali; Karbassi, Abdolreza; Farsad, Forough

doi:10.1007/s10661-019-7243-4

Cited by 30 publications

(10 citation statements)

References 30 publications

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“…According to the results, the difference in the values of the measured parameters, before and after remediation of the landfill, is not obtained, except for G2 (downstream) where BOD 5 has shown decrease after remediation. Given that the values decreased upstream and downstream from the landfill, it is assumed that BOD 5 decrease is not affected by the landfill but depends on a number of other environmental factors on the study area (Danesh et al 2019;Zafar & Alappat 2011).…”

Section: Surface Water Qualitymentioning

confidence: 99%

“…The results of other scientists (Hui Liu et al 2010) have also shown that the proximity of the landfill is not necessarily a risk for surface water pollution. It is important to take into account all environmental risk factors such as agriculture, industry or natural (Danesh et al 2019;Longe & Balogun 2010).…”

Section: Surface Water Qualitymentioning

confidence: 99%

“…The most landfills are open dumps landfills. Therefore, due to ecological and socioeconomic criteria, it is essential to find an optimal location which has the lowest environmental risk and economically favorable (Danesh et al 2019). The waste placed in landfills can influence on groundwater quality by infiltration of leachate.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring of waters status on the area of the waste landfill – case study Piškornica

Nemčić-Jurec¹

2019

EnvEng-IO

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The remediation of the municipal waste landfill reduces the harmful effects of inadequately disposed waste in the environment and reduce the risks on human health. The aim of this paper is to evaluate the efficiency of the remediation (2005 to 2012) of waste landfill of Piškornica. Groundwater from piezometers (P2, P3, P4 and P5) at Piškornica and surface water from the Gliboki stream (upstream and downstream) were analyzed, before and after the remediation. The results of the analyzed parameters (KPK, BPK5, electroconductivity, iron) showed significant decrease in values (p <0.05) and up to 82% (BPK5 in P5) after remediation. The most significant decrease in the value of the indicators was determined in the P5, which is nearest and downstream from the landfill body. Significant difference (p <0.05) was not found at the upstream and downstream locations of the Gliboki stream basin before and after remediation. The numerical model of the groundwater flow shows that groundwater pollution will not occur even in the worst scenario (the largest possible pumping of 420 l/s) of the current capacity of the Ivanščak source. The results contributed to decisions on water management and further monitoring of water plans on landfill area.

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Section: Surface Water Qualitymentioning

confidence: 99%

Section: Surface Water Qualitymentioning

confidence: 99%

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Monitoring of waters status on the area of the waste landfill – case study Piškornica

Nemčić-Jurec¹

2019

EnvEng-IO

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“…Shah et al (2019) used the AHP-GIS to investigate the appropriate location for urban waste disposal site at the east of Karachi and the region considered for waste disposal was 200 meters far from the Malir River according to the road distance criteria, good proportions for the disposal site, road conditions, rivers, etc. (Danesh& et al, 2019). These researchers selected the hazardous waste disposal site using the FANP and GIS techniques.…”

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), ...…”

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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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Advances in Land, Underground, and Ocean Disposal Techniques

Qasim

Shareefdeen

2022

Hazardous Waste Management

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Compilation of a model for hazardous waste disposal site selection using GIS-based multi-purpose decision-making models

Cited by 30 publications

References 30 publications

Monitoring of waters status on the area of the waste landfill – case study Piškornica

Monitoring of waters status on the area of the waste landfill – case study Piškornica

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

Advances in Land, Underground, and Ocean Disposal Techniques

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