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Proceeding Paper

Study on Waste Management Focusing on Sustainable Issues †

by
Manas Ranjan Das
,
Suchismita Satapathy
* and
Lalit Kumar Pothal
School of Mechanical Engineering, KIIT University, Bhubaneswar 751024, Odisha, India
*
Author to whom correspondence should be addressed.
Presented at the 5th International Conference on Innovative Product Design and Intelligent Manufacturing Systems (IPDIMS 2023), Rourkela, India, 6–7 December 2023.
Eng. Proc. 2024, 66(1), 26; https://doi.org/10.3390/engproc2024066026
Published: 17 July 2024

Abstract

:
The safe and appropriate disposal of waste generated during mining operations makes mining waste management a crucial concern for the mining sector. This waste includes waste rock, tailing, and other mining wastes that can cause health and environmental issues if improperly managed. To avoid this issue, challenges in sustainable waste management were studied and DEMATEL analysis was conducted.

1. Introduction

Due to the implementation of sustainable practices and strategies in mining industries, waste generation is reduced. The recycling and reuse of waste in the mining industry can mitigate the negative effect of mining waste on the Earth. The proper utilization of mining wastes can ensure that people live in a pollution-free environment. Hudson-Edwards et al. [1] reported on undesirable mining waste found near a mining site used for landfill. Frank et al. [2] reported on how the sustainable use of mining waste can prevent future issues. Lèbre et al. [3] indicated that metal mining wastes are hazardous.To reduce the negative effects of waste management, sustainable waste management practices are implemented, as detailed in [4].

2. Research Methodology

An extensive literature review was conducted to investigate the waste management techniques used in mining industries. There are many challenges reported by mining industries. The most important challenges are the following:
The reuse of produced tailing waste;
Reductions in the environmental impact of mining waste on life;
The lack of advanced technology for waste utilization and segregation;
The lack of a regulatory framework.
Then, the DEMANTEL method was implemented to find a casual relationship between sustainable mining waste challenges.

3. Results and Discussion

The scale of the DEMATEL method is as follows: 0 = no effect; 1—small effect; 2—medium effect; 3—high effect; 4—very effective. Table 1, Table 2, Table 3, Table 4 and Table 5 show the DEMATEL steps, and Figure 1 depicts a cause and effect diagram. In Table 1, the effects of sustainable waste management are mentioned. Table 2 shows the normalized matrix. Table 3 shows direct and indirect relationship matrix and Table 4 shows the total relation matrix and Table 5 the prioritization factor matrix respectively.

4. Conclusions

Finally, sustainable waste management is a critical concern in the mining industry given the significant environmental effects of mining activities. Comprehensive waste management programs are necessary for mining companies to minimize their negative environmental effects and increase sustainability. According to research on sustainable waste management in the mining sector, using a mix of approaches works best. The use of cutting-edge waste treatment and disposal technologies, along with waste reduction, recycling, composting, and other waste diversion initiatives, are some of the strategy for waste management. DEMATEL analysis offers important insights into the specific elements of waste management plans that best support sustainability.

Author Contributions

M.R.D. and L.K.P. gathered the data and S.S. wrote the paper after analysis. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study does not required any ethical approval.

Informed Consent Statement

Consent of mining industries and miners were received for this study.

Data Availability Statement

No data is required for this study.

Acknowledgments

We are thankful to all the miners for their help in the survey process. We are thankful to the reviewers, organizers and publishers to provide opportunity to publish our work.

Conflicts of Interest

The contributors have no conflicts of interest.

References

  1. Hudson, K.A.; Jamieson, H.E.; Lottermoser, B.G. Mine wastes: Past, present, future. Elements 2011, 7, 375–380. [Google Scholar] [CrossRef]
  2. Franks, D.M.; Boger, D.V.; Côte, C.M.; Mulligan, D.R. Sustainable development principles for the disposal of mining and mineral processing wastes. Resour. Policy 2011, 36, 114–122. [Google Scholar] [CrossRef]
  3. Lèbre, É.; Corder, G.D.; Golev, A. Sustainable practices in the management of mining waste: A focus on the mineral resource. Miner. Eng. 2017, 107, 34–42. [Google Scholar] [CrossRef]
  4. Khayum, N.; Rout, A.; Deepak, B.B.V.L.; Anbarasu, S.; Murugan, S. Application of fuzzy regression analysis in predicting the performance of the anaerobic reactor co-digesting spent tea waste with cow manure. Waste Biomass Valorization 2020, 11, 5665–5678. [Google Scholar] [CrossRef]
Figure 1. Cause and effect diagram.
Figure 1. Cause and effect diagram.
Engproc 66 00026 g001
Table 1. Effect of Sustainable waste management.
Table 1. Effect of Sustainable waste management.
DirectRelationMatrix
MWEIRFTLsum
MW034411
EI03137
RF430410
TL23409
Table 2. Normalized Matrix.
Table 2. Normalized Matrix.
MWEIRFTL
MW00.2727272730.3636363640.363636364
EI00.2727272730.0909090910.272727273
RF0.40.300.4
TL0.2222222220.3333333330.4444444440
Table 3. Direct–indirect relation matrix.
Table 3. Direct–indirect relation matrix.
MWEIRFTL
MW10.2727272730.3636363640.363636364
EI00.7272727270.0909090910.272727273
RF0.40.310.4
TL0.2222222220.3333333330.4444444441
Table 4. Total relation matrix.
Table 4. Total relation matrix.
Total Relation Matrix T = Y (inverse(I-Y)) Ri
1.8690775291.4481134681.5865939741.655577266.559362231
0.8419441260.9575200920.9640260241.1029468043.866437045
1.1976655191.5470723311.0038270191.4039418295.152506698
1.1997703791.4144661311.0987370841.1216991964.83467279
5.1084575535.3671720224.6531841015.284165089
Table 5. Prioritization factor matrix. All the values in matrix, which are smaller than threshold value (1.229930344) are set to zero, meaning that the causal relation mentioned above is not considered.
Table 5. Prioritization factor matrix. All the values in matrix, which are smaller than threshold value (1.229930344) are set to zero, meaning that the causal relation mentioned above is not considered.
MWEIRFTL
1.1390775431.8881056281.281313261.653491772
0.7619442530.9875200580.9104026021.01292946
1.2376655191.4847072341.120382701.41239418
1.1997703791.4144661311.0987370841.121699196
threshold (aplha) value1.229930344
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MDPI and ACS Style

Das, M.R.; Satapathy, S.; Pothal, L.K. Study on Waste Management Focusing on Sustainable Issues. Eng. Proc. 2024, 66, 26. https://doi.org/10.3390/engproc2024066026

AMA Style

Das MR, Satapathy S, Pothal LK. Study on Waste Management Focusing on Sustainable Issues. Engineering Proceedings. 2024; 66(1):26. https://doi.org/10.3390/engproc2024066026

Chicago/Turabian Style

Das, Manas Ranjan, Suchismita Satapathy, and Lalit Kumar Pothal. 2024. "Study on Waste Management Focusing on Sustainable Issues" Engineering Proceedings 66, no. 1: 26. https://doi.org/10.3390/engproc2024066026

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