A Fuzzy MADM Approach for Selecting the Best Cyanide Removal Method from a Gold Mine Wastewater

Abstract The cyanidation process is the most common method applied for the extraction of gold and silver in the hydrometallurgy industry, in which, sodium cyanide is used as a leaching agent. Therefore, the wastewater of gold mines contains a wide variety of cyanide ions needing to be removed before these wastewaters can be discharged to the receiving environments. In this study, a fuzzy multi-attribute decision-making approach (Fuzzy Delphi AHP and Fuzzy TOPSIS) was used for selecting the best cyanide removal method from the wastewater of Muteh gold mine. According to the experts' opinion, three methods including calcium hypochlorite, hydrogen peroxide and sodium hypochlorite were selected as alternatives. Then, by introducing the criteria influencing decision making, including cyanide removal ability, cost of process, amount of material consumed, time, pH, ease of performance and safety, and performing separated experiments, the criteria for each of three methods were determined. Finally, sodium hypochlorite was proposed as the best method for eliminating cyanide from wastewater. It was found that the rank of methods was as sodium hypochlorite (0.517) > calcium hypochlorite (0.474) > hydrogen peroxide (0.463).

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Kennel Disinfectants forMicrosporum canisandTrichophytonsp.

Veterinary Medicine International ◽

10.1155/2015/853937 ◽

2015 ◽

Vol 2015 ◽

pp. 1-3 ◽

Cited By ~ 8

Author(s):

Karen A. Moriello

Keyword(s):

Hydrogen Peroxide ◽

Sodium Hypochlorite ◽

Contact Time ◽

Growth Control ◽

Calcium Hypochlorite ◽

Good Efficacy ◽

Antifungal Efficacy ◽

Potassium Peroxymonosulfate

The antifungal efficacy of commonly used kennel disinfectants for large surfaces was tested using naturally infective material from untreated animals (M. canisandTrichophytonsp.) soaked and macerated but unfiltered leaving visible fluorescing hairs and/or scales in the test inoculum to create a robust challenge. Disinfectants included sodium hypochlorite (1 : 32 and 1 : 100), enilconazole (1 : 100), accelerated hydrogen peroxide (1 : 16), potassium peroxymonosulfate (1% and 2%), and calcium hypochlorite “dry bleach.” Disinfectants were tested at a 1 : 10, 1 : 5, and 1 : 1 dilution of test inoculum to disinfectant with a 10 min contact time. Good efficacy was defined as a disinfectant resulting in no growth. Control plates grew >300 colonies of each pathogen per plate. Enilconazole, sodium hypochlorite (all dilutions), accelerated hydrogen peroxide, and 2% potassium peroxymonosulfate (but not 1%) inhibited all growth of both pathogens at 1 : 10, 1 : 5, and 1 : 1 dilutions. Calcium hypochlorite showed no antifungal efficacy (>300 colonies per plate). Enilconazole (1 : 100), sodium hypochlorite (1 : 32 or 1 : 100), accelerated hydrogen peroxide (1 : 16), and 2% potassium peroxymonosulfate are recommended for decontamination of kennels exposed to dermatophyte pathogens.

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Effect of Scouring and Bleaching Agents on whiteness Index and Bursting Strength of Cotton Knitted Fabric

Global Journal of Researches in Engineering ◽

10.34257/gjrejvol19is1pg23 ◽

2019 ◽

pp. 23-28

Author(s):

MD. Tofazzal Hossain ◽

Alimran Hossain ◽

Palash Kumar Saha ◽

MD. Zahangir Alam

Keyword(s):

Hydrogen Peroxide ◽

Caustic Soda ◽

Sodium Hypochlorite ◽

Knitted Fabric ◽

Bleaching Agent ◽

Calcium Hypochlorite ◽

Bleaching Process ◽

Whiteness Index ◽

Bursting Strength ◽

Cotton Knitted Fabric

This paper shows the effect of different bleaching agent on whiteness index and bursting strength of the cotton knitted fabric. Bleaching process uses three types of bleaching agents namely hydrogen peroxide (H2O2), sodium hypochlorite (NaOCl) and calcium hypochlorite Ca(OCl)2 with varying their concentration and these are 1.5 g/l, 2.5 g/l, 3.5 g/l, 4.5 g/l, and 5.5 g/l. In the same time, scouring agent was caustic soda, and its concentration for all the bleaching agents was same. It is obvious that with the increase of bleaching agent concentration, whiteness index increases, and bursting strength reduces.

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Isolation, Definition and Chemical Control some of the Bacteria that Cause Contamination of Wall Paintings in Caves

Asian Journal of Pharmaceutical Research and Development ◽

10.22270/ajprd.v7i5.507 ◽

1970 ◽

Vol 7 (5) ◽

pp. 6-11

Author(s):

Fatma. M. A El-Gorj ◽

M. A. Aisha ◽

W.O. Maznah

Keyword(s):

Hydrogen Peroxide ◽

Sodium Hypochlorite ◽

Chemical Method ◽

Dna Polymorphisms ◽

Gram Negative Bacteria ◽

Wall Paintings ◽

Laboratory Studies ◽

Calcium Hypochlorite ◽

Blast Search ◽

Niah Cave

Background: Caves are unique natural features and habitats where specialized organisms grow. One of the world’s main concerns is that of the conservation and preservation of our cultural heritage, including rock art and wall paintings within caves. Methods: This study was conducted by collecting the samples scraped from wall surfaces at 19 different location in painted caves of Niah cave, Sarawak, and Tempurung cave, Perak. Morphospecies identification and genomic DNA polymorphisms were used to identify the two strains of bacteria. The growth was controlled chemical method using sodium hypochlorite (NaOCl), Calcium hypochlorite Ca(OCl)2 and hydrogen peroxide (H₂O₂). Results: Morphospecies identification was carried out using a light microscopy and scanning electron microscopy (SEM), both the bacteria, bacteria I and bacteria II were isolated from the soil samples and were Gram-negative bacteria. Based on BLAST search, bacteria I showed 100% with Stenotrophomonas sp (NR 024708.1), and bacteria II showed 100% with Cryptococcus liquefaciens (NR 043289. 1). The growth was controlled chemical method using sodium hypochlorite (NaOCl), Calcium hypochlorite Ca(OCl)2 and hydrogen peroxide (H₂O₂). The laboratory studies showed that three chemical were effectively eliminated colonies/cells of the both bacteria compared to the colonies found on the control pate this study.

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Solving a Multiple User Energy Source Selection Problem Using a Fuzzy Multi-Criteria Group Decision-Making Approach

Energies ◽

10.3390/en14144313 ◽

2021 ◽

Vol 14 (14) ◽

pp. 4313

Author(s):

Mohamed Ali Elleuch ◽

Marwa Mallek ◽

Ahmed Frikha ◽

Wafik Hachicha ◽

Awad M. Aljuaid ◽

...

Keyword(s):

Decision Making ◽

Group Decision Making ◽

Group Decision ◽

Optimal Solution ◽

Fuzzy Topsis ◽

Single Type ◽

Energy Sources ◽

Source Selection ◽

Multiple User ◽

Fuzzy Delphi

In recent years, the evaluation of several energy sources is an extremely significant issue that affects socio-environmental development and techno-economic growth in different sectors. To tackle this concern, many researchers have concentrated on preferring desirable energy sources and adopting multi-criteria group decision-making (MCGDM) approaches for only a single type of user (e.g., agricultural, industrial, tourism, or domestic users). However, every energy user plays an important role in shaping energy policy. In fact, for sustainable energy, it is important to include all main energy users at the same time in energy decision-making. The main objective of this work was to propose a fuzzy MCGDM approach to evaluate and prioritize energy sources in Tunisia from various sectors’ point of views. Many criteria are combined, including the following: technical, economic, social, political and environmental. After applying the fuzzy Delphi method, the proposed approach consists of applying a fuzzy TOPSIS method as a multi-criteria approach. Finally, a sensitivity analysis is performed to evaluate the results of the proposed approach and to study how the optimal solution is affected by the objective function coefficients.

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Elimination Cyanide with Hydrogen Peroxide (H2O2) and Calcium Hypochlorite (Ca(OCl)2) on Gold Mine Waste from North Luwu, South Sulawesi

American Journal of Environmental Protection ◽

10.11648/j.ajep.20160504.14 ◽

2016 ◽

Vol 5 (4) ◽

pp. 97 ◽

Cited By ~ 1

Author(s):

Muntasir Ngulube

Keyword(s):

Hydrogen Peroxide ◽

Mine Waste ◽

Gold Mine ◽

Calcium Hypochlorite ◽

South Sulawesi

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Application of fuzzy TOPSIS for the prioritization of students' requirements in higher education institutions: a case study : A multi-criteria decision making approach

2020 International Conference on System, Computation, Automation and Networking (ICSCAN) ◽

10.1109/icscan49426.2020.9262329 ◽

2020 ◽

Author(s):

Parth Koltharkar ◽

Eldhose K K ◽

R Sridharan

Keyword(s):

Higher Education ◽

Decision Making ◽

Higher Education Institutions ◽

Fuzzy Topsis ◽

Multi Criteria Decision Making

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Prioritization in Strategic Environmental Assessment Using Fuzzy TOPSIS Method with Random Generation for Absent Information in South Korea

Sustainability ◽

10.3390/su13031458 ◽

2021 ◽

Vol 13 (3) ◽

pp. 1458

Author(s):

Daeryong Park ◽

Huan-Jung Fan ◽

Jun-Jie Zhu ◽

Taesoon Kim ◽

Myoung-Jin Um ◽

...

Keyword(s):

Decision Making ◽

Multicriteria Decision Making ◽

Fuzzy Topsis ◽

River Basins ◽

Ideal Solution ◽

Missing Information ◽

Nakdong River ◽

Han River ◽

Priority Ranking ◽

The Nakdong River

This study evaluated a fuzzy technique for order performance by similarity to ideal solution (TOPSIS) as a multicriteria decision making system that compensates for missing information with undefined weight factor criteria. The suggested Fuzzy TOPSIS was applied to ten potential dam sites in three river basins (the Han River, the Geum River, and the Nakdong River basins) in South Korea. To assess potential dam sites, the strategic environment assessment (SEA) monitored four categories: national preservation, endangered species, water quality, and toxic environment. To consider missing information, this study applied the Monte Carlo Simulation method with uniform and normal distributions. The results show that effects of missing information generation with one fuzzy set in GB1 site of the Geum River basin are not great in fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) estimations. However, the combination of two fuzzy sets considering missing information in Gohyun stream (NG) and Hoenggye stream (NH) sites of the Nakdong River basin has a great effect on estimating FPIS, FNIS, and priority ranking in Fuzzy TOPSIS applications. The sites with the highest priority ranking in the Han River, Geum River, and Nakdong River basins based on Fuzzy TOPSIS are the Dal stream 1 (HD1), Bocheong stream 2 (GB2) and NG sites. Among the sites in all river basins, the GB2 site had the highest priority ranking. Consequently, the results coincided with findings of previous studies based on multicriteria decision making with missing information and show the applicability of Fuzzy TOPSIS when evaluating priority rankings in cases with missing information.

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