scholarly journals Site Selection of Hazardous Waste Landfill: A Case Study of Qazvin Province

2020 ◽  
Vol 11 (3) ◽  
pp. 281-298
Author(s):  
R Samadi Khadem ◽  
E* Fataei ◽  
P Joharchi ◽  
M.E Ramezani ◽  
◽  
...  
Keyword(s):  
Hazardous Waste ◽  
Site Selection ◽  
Waste Landfill ◽  
Hazardous Waste Landfill ◽  
Selection Of

Identification of hazardous waste landfill site: a case study from Zanjan province, Iran

2011 ◽  
Vol 64 (7) ◽  
pp. 1763-1776 ◽  
Author(s):  
Mashalah Khamehchiyan ◽  
Mohammad Reza Nikoudel ◽  
Mehdi Boroumandi
Keyword(s):  
Hazardous Waste ◽  
Landfill Site ◽  
Waste Landfill ◽  
Hazardous Waste Landfill

scholarly journals Site Selection for Hazardous Waste Using FuzzyLogic Combined With Analytic Hierarchy Process: ACase study in Nahavand, Iran

2019 ◽  
Vol 6 (1) ◽  
pp. 8-15
Author(s):  
Abbas Najjari ◽  
Kamran Shayesteh
Keyword(s):  
Fuzzy Logic ◽  
Solid Waste ◽  
Hazardous Waste ◽  
Site Selection ◽  
Landfill Site ◽  
Landfill Site Selection ◽  
Waste Landfill ◽  
Criteria Weights ◽  
Hazardous Waste Landfill ◽  
Hierarchy Process

Hazardous wastes include various types of chemicals and other wastes generated from industrialand other sources. Because of the complexity of waste management systems, the selection of theappropriate solid waste landfill site requires consideration of multiple alternative solutions andevaluation criteria. This paper investigated the utilization of the fuzzy logic in combination withAnalytic Hierarchy Process (AHP) technique by applying GIS and IDRISI programming for choosinghazardous waste landfill site in Nahavand, Iran. Based on the real conditions of the study area, weconsidered economic, biological and topographical factors (12 criteria). The candidate sites weredetermined based on the criteria weights. The best location was determined via the fuzzy logic andthe AHP methods. This study found that the combination of fuzzy logic and the AHP method was thebest option for selecting a site for hazardous waste landfill. In the end, 6 suitable areas were selectedfor a hazardous waste landfill in the city. This study verified that the combination of the AHP methodwith fuzzy logic using GIS in our project is a powerful tool for solid waste landfill site selection.

scholarly journals Combining AHP-Entropy Approach with GIS for Construction Waste Landfill Selection—A Case Study of Shenzhen

2018 ◽  
Vol 15 (10) ◽  
pp. 2254 ◽  
Author(s):  
Zhikun Ding ◽  
Menglian Zhu ◽  
Zezhou Wu ◽  
Yanbin Fu ◽  
Xia Liu
Keyword(s):  
Site Selection ◽  
Entropy Method ◽  
Landfill Site Selection ◽  
Analytic Hierarchy ◽  
Rapid Urbanization ◽  
Construction Waste ◽  
Waste Landfill ◽  
Hierarchy Process ◽  
Selection Of

With the recent fast economy development and rapid urbanization, the huge generation of construction waste has become a threat to sustainable development in China. Though efforts have been made to promote reuse and recycling of construction waste, landfilling of waste remains the most commonly adapted approach for construction waste disposal. As the space for landfills is limited and because of the negative issues in terms of environmental and social aspects that may be caused, the appropriate site selection of landfills is crucial. With this background, this paper aims to establish a framework for facilitating landfill selection for construction waste. To begin with, a total of sixteen factors that may influence landfill site selection were identified from a literature review. Then, based on the combined analytic hierarchy process (AHP) and entropy method, the weights and the final comprehensive scores of the identified factors were calculated. According to the derived results, potential sites for landfills were divided into three levels, namely the most appropriate (0.38%), appropriate (17.58%), and inappropriate (82.04%). The proposed decision-making methods in this paper can provide a valuable reference for the selection of construction waste landfill sites.

A Holistic Model of Leakage Risk Assessment in a Hazardous Waste Landfill

2014 ◽  
Vol 878 ◽  
pp. 551-557
Author(s):  
Ya Xu ◽  
Lu Dong ◽  
Chang Xin Nai ◽  
Yu Qiang Liu ◽  
Jing Cai Liu
Keyword(s):  
Risk Assessment ◽  
Hazardous Waste ◽  
Fault Tree Analysis ◽  
Oral Intake ◽  
Assessment Model ◽  
Holistic Model ◽  
Waste Landfill ◽  
Exposure Pathway ◽  
Hazardous Waste Landfill

Risk-based method has been increasingly frequently used by regulators and managers in modern landfill to scientifically manage solid waste and reduce its environmental hazards. As far as hazardous waste landfill is concerned, the main risk can be identified as the leakage of leachate. To quantify the uncertainties and its influences on risk assessment of leachate leakage, EPACMTP model with the involvement of Monte Carlo method is used to propagate the randomness of input parameters; Fault tree analysis method is employed to compute the uncertainties of liner damage; and the last, health risk assessment model was also integrated into to form a holistic model of leakage risk assessment.. A hazards waste landfill located in the southwest China is taken as a case study. The assessment result indicates that 1) the main exposure pathway is oral intake;2) The total non-carcinogenic risks for adult and for child are, accordingly, equal to 0.68 and 0.75, which under most circumstance is acceptable.

GIS Based Multi-Criteria decision support system and machine learning for Hospital Site Selection case study Oran - Algeria

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Site Selection ◽  
Decision Makers ◽  
Analysis Method ◽  
Automatic Learning ◽  
Hospital Site ◽  
Set Up ◽  
High Level ◽  
Selection Of ◽  
The Ideal

The selection of hospital sites is one of the most important choice a decision maker has to take so as to resist the pandemic. The decision may considerably affect the outbreak transmission in terms of efficiency , budget, etc. The main targeted objective of this study is to find the ideal location where to set up a hospital in the willaya of Oran Alg. For this reason, we have used a geographic information system coupled to the multi-criteria analysis method AHP in order to evaluate diverse criteria of physiological positioning , environmental and economical. Another objective of this study is to evaluate the advanced techniques of the automatic learning . the method of the random forest (RF) for the patterning of the hospital site selection in the willaya of Oran. The result of our study may be useful to decision makers to know the suitability of the sites as it provides a high level of confidence and consequently accelerate the power to control the COVID19 pandemic.

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