Evaluation of Strategies for the Sustainable Transformation of Surface Coal Mines Using a Combined SWOT–AHP Methodology
Abstract
:1. Introduction
2. Literature Review
2.1. Sustainable Transformation of Mining Technical Systems and Operations
2.2. Environmental and Ecological Restoration
2.3. Stakeholders, Society, and Economy
2.4. Policies and Initiatives
3. Problems and Research Questions
- (a)
- CE and Supply Chain Model: The lack of clear and straightforward principles of sustainable transformation in the mining industry causes uncertainties. The selection of a CE model is difficult since the ecological, geoenvironmental, and socioeconomic characteristics are different from one mine to another. In addition, the constituent parts of a sustainable strategy are issues to be considered under the limitations of space availability and the new land use system.
- (b)
- Complexity: By its nature, a sustainability project requires multidisciplinary and multitasking management, since numerous stakeholders, consultants, and scientific experts must be involved in various activities and work interfaces. It constitutes a complex and crucial managerial problem of high importance, since the project managers must identify and describe the roles and allocate responsibilities of any involved party. In this context, a long-term and resource-consuming analysis needs to be carried out to answer the following: by whom, for what, how, when, within which priority and authorization, and to which extent must the scope of the work each party undertakes be performed.
- (c)
- Decision Making: The transformation strategy is a priority issue of high criticality for the organization, planning, and execution of the sustainability project. However, strategy selection results from a decision-making process presenting difficulties, such as the evaluation of the method/tool to be applied, the organization and execution of the evaluation workshops, the analysis of the evaluation results, and the presentation and disclosure of the results to stakeholders. A decision-making failure that must be avoided is the selection of a less effective, inefficient, or low-reasonability strategy that may insert risks into the transformation project. For this reason, the participation of SMEs in the evaluation process is valuable and indispensable.
- (d)
- Ecological Restoration: It is an uncertain issue, as the interaction mechanisms between the near-natural and the artificial restoration actions need further scientific substantiation. Even more important is the restoration method to match the mine-specific geoenvironmental and ecological characteristics. Therefore, the decision for the ecological restoration method is a very critical issue.
- (e)
- Finance and Bankability: The estimation of the transformation budget is another problem embodying uncertainties. It is related to several circularity scenarios that can be examined and various assumptions that might be recommended for explaining to lenders and funding executives that the techno-economic profile of the project is robust and, therefore, the project is bankable. Moreover, it must be proven that the opinions of societies and stakeholders have been considered in the budgetary estimations and formulations of the alternative strategies.
- (f)
- Knowledge Gaps: They are related to the understanding of how and under which conditions knowledge requirements and background information of a mine transformation project can be controlled and managed. This issue must be considered by mining project managers involved with the scoping, planning, organization, and execution of the transformation project, so that synergies for knowledge and technology transfer (KTT) or technical consulting on sustainability aspects are established, if so required.
- (g)
- Legislation and Permitting: The understanding of the legislative framework and any other initiatives related to sustainability, requires an in-depth analysis of the legal content and limitations in force, as well as knowledge of the permitting procedures, protocols, and practices of public agencies. Moreover, a new environmental and social impact assessment must be submitted to demonstrate that the new land use system and the content of the sustainable activities are feasible and compliant with the law. Experience shows that, in most countries, the permitting and licensing of a new sustainable land use system is a complex and time-consuming task, which may be a reason for stopping or delaying transformation projects.
- (h)
- Prescreening of Engineering Solutions: The reforming of post-mining lands requires engineering solutions and optimization for the landscape and landform restoration, redesign of land use, soil improvement, slope stability measures, rehabilitation of defective roads/accesses, infrastructures and facilities, and appropriate site development plans enabling the circularity operations to begin. The engineering solutions must be based on situational analysis and agile, to (a) ensure that circular economy activities are technically feasible, and (b) enable adaptability of different practices and methods of sustainability.
- (i)
- Stakeholder Engagement and Societal Issues: Stakeholder engagement is a participatory process based on a creative and open dialogue between mining companies and interested parties (authorities, communities, municipalities, regional agencies, central government, NGOs, ecological societies, interested groups, and independent bodies). This process aims to exchange opinions and to enable the shaping of proposals for the transformation project and the CE model to be adopted. However, the organization and management of the participatory process are complex, dysfunctional, and time-consuming, as each stakeholder has their own agenda of policies and priorities for the content and actions of sustainability.
- RQ-1:
- Which method/tool is suitable for the identification of alternative strategies for a project on a mine’s transformation to sustainability?
- RQ-2:
- How can the advantages and disadvantages of each strategy be assessed?
- RQ-3:
- How can the opinions of stakeholders and the knowledge of SMEs be aggregated, synthesized, and applied to evaluate the alternative strategies?
- RQ-4:
- How can the evaluation process be performed by an effective and mathematically consistent method for the quantitative evaluation of alternative strategies for sustainability in ageing/closing or already closed mines?
4. Materials and Methods
4.1. Suggested Methodology
- (a)
- Each strategy has advantages and disadvantages, which can be interpreted as evaluation factors. Some of these factors are internal and depend on the performance capabilities or the deficiencies of the mining company. Some other factors are external and must be effectively managed by the mining company to minimize risks and maximize new business opportunities, so that the transformation project can be proven beneficial from social, environmental, and economic points of view. The authors recommend the SWOT analysis as a business and management tool appropriate for identifying and evaluating several alternative project strategies for sustainability in a particular mine. The SWOT factor analysis reflects the qualitative function of the methodology.
- (b)
- The SWOT analysis is proposed in combination with the AHP method for establishing the relative importance (weight) of each evaluation factor/subfactor of the SWOT analysis. First, the factors and subfactors take a specific numerical value, and then they are introduced in the calculations for the ranking of alternative strategies. The AHP reflects the quantitative function of the methodology.
- (c)
- As already mentioned, the role of SMEs is crucial for the decision-making framework. The combination of SWOT/AHP methods provides the basis for a creative aggregation of knowledge, empirical evidence, and various judgements and opinions expressed on sustainability in an ageing/closing mine. The SMEs may take various opinions from stakeholders, interest groups, or authorized individuals in the evaluation activities, introduce this information in the SWOT analysis, and, in the form of numerical data, use it in the AHP calculations. The SME role and the quantitative synthesis of the opinions collected reflect the participatory function of the methodology.
4.2. The Combination of SWOT and AHP Methods
4.3. Expert Judgement
- -
- Situational analysis of the mine characteristics (geoenvironmental, ecological, and social)
- -
- Understanding the legislative and regulatory framework for the CE practices and methods in post-mining sustainable transformation projects
- -
- Analysis and definition of SWOT factors
- -
- Formulation of alternative strategies and construction of the TOWS/SWOT matrix
- -
- Pairwise comparisons in preparing the input data for the AHP calculations
- -
- Evaluation of a strategy’s performance with respect to each factor/subfactor of the SWOT/AHP method
- -
- Construction of the strategy evaluation matrix
- -
- Review of the methodology outputs and results (pros and cons) and lessons learned
- -
- (Ex1): Mining Operations Manager—PhD, MSc, MEng.
- -
- (Ex2): Lignite Mine Site University Professor—PhD, MSc, MEng.
- -
- (Ex3): Energy Sector Project Management Expert—PhD, MSc, MEng.
- -
- (Ex4): Socioeconomic and Sustainability Senior Expert—MSc.
- -
- (Ex5): Public Official with expertise in sustainability and permits—MSc.
- -
- (Ex6): Permitting and Legislation Engineer—MEng.
- -
- (Ex7): Ecology Expert—PhD, MSc.
5. Case Study
5.1. Project Description
5.2. Management of the Evaluation Process
5.3. Analysis and Definition of SWOT Factors and Subfactors
- S1
- Transformation of heavily affected mine sites to a sustainable land use system
- S2
- Reduction in environmental pollution (soil, water, ecosystems, settlements)
- S3
- Reduction in greenhouse gas (GHG) emissions
- S4
- Reduction in energy consumption and related costs
- S5
- Restoration of mining landforms, topography, and landscape
- S6
- Upgrading of access roads and utilities (water, drainage, electricity, telecom lines)
- S7
- Development of “green” energy systems (photovoltaics, wind generators, biomass)
- S8
- Conservation of non-exploited lignite volumes (for strategic purposes)
- S9
- Construction of new infrastructures/facilities for sustainable businesses
- S10
- Development of new CE activities in the mining area
- W1
- Low effectiveness of the CSR strategy of the mining company
- W2
- High capital expenditures (CAPEX) required for the project
- W3
- Low awareness of CE methods/practices and the concerns of stakeholders/society
- W4
- Complexity and dysfunctionality of the project
- W5
- Long project duration and low availability of resources required for project execution
- W6
- Difficulties in the identification/selection of alternative project strategies
- W7
- Difficulties in ensuring project financing robustness
- W8
- Geographical limitations of land use system redesign and repurposing
- W9
- Poor condition of existing roads, accesses, and soil dumps—AMD effects
- W10
- Poor coordination between the mining company and permitting authorities
- O1
- Enhancement of employment in affected communities
- O2
- Development (at the local/regional level) of tourism, leisure, and sports
- O3
- Encouraging agricultural production (arable lands), livestock and reforestation
- O4
- Encouraging businesses aiming at “green”/renewable energy solutions
- O5
- Development of low-carbon industry in line with the “3R” principles
- O6
- Financing R&D for sustainable technological solutions in the extracting industry
- O7
- Involvement of contractors with reclamation earthworks and construction
- O8
- Involvement of consulting companies with reclamation engineering/design
- O9
- Extension of businesses and CE supply chains
- O10
- Integration of the reclamation/restoration framework with other projects in the region
- T1
- Delays in the issuance of environmental terms and other permits (by authorities)
- T2
- Failures/delays of contractor work for sustainable mine repurposing
- T3
- Low participation of interested parties in the stakeholder engagement meetings
- T4
- Failures/delays in the timeliness of CE method/practice development
- T5
- Socio-environmental impacts due to the intensive and long-term transformation work
- T6
- Reaction/reluctance of affected communities regarding mine repurposing/restoration
- T7
- Financial limitations and/or delays caused by the project lenders and investors
- T8
- Legislation gaps impeding the transition to sustainability in the extractive industry
- T9
- Political/social instabilities causing changes in energy policies and development plans
- T10
- “Force majeure” and project suspension due to global crises, wars, pandemics, etc.
- T11
- Legal defects related to the mine land’s property deeds
- T12
- HSSE (health, safety, security and environment) events during the reclamation/repurposing/restoration work
5.4. Definition of Strategies
5.5. AHP: Quantification of SWOT Factors
- (a)
- Defining the decision-making goal: “Selection of a Project Strategy for Sustainability”;
- (b)
- Defining the SWOT factors/subfactor sets: Strengths, S = {S1, S2, …, Sn; n∈N}; Weaknesses, W = {W1, W2, …, Wm; m∈N}; Opportunities, O = {O1, O2, …, Or; r∈N}; Threats, T = {T1, T2, …, Ts; s∈N};} 1 ≤ n ≤ 10; 1 ≤ m ≤ 10; 1 ≤ r ≤ 12; 1 ≤ s ≤ 10; (N: the set of natural numbers);
- (c)
- Structuring the levels of hierarchy:
- -
- Level-1: decision-making goal;
- -
- Level-2: main factors (S, W, O, T);
- -
- Level-3: subfactor sets: S1, S2, … W1, W2, … O1, O2, … T1, T2, …;
- -
- Level-4: definition of strategies: STG1 = SO1, STG2 = SO2, STG3 = SO3, STG4 = WO1, STG5 = WO2, STG6 = ST1, STG7 = ST2, STG8 = WT1, STG9 = WT2 (Nos. 9);
- (d)
- Constructing the reciprocal matrix of the main factors, RMMF. Calculation mode: each element a (i, j) of the RMMF matrix corresponds to a reciprocal element a (j, i), where i: row and j: column. The formula for associating these elements is: a (i, j).a (j, i) = 1;
- (e)
- Applying the same calculation mode in the construction of reciprocal matrices for each set of subfactors RMSFS, RMSFW, RMSFO, and RMSFT;
- (f)
- Normalizing the data of the RMMF matrix to define the relative weights of the main factors WS, WW, WO and WT; 0 < WS, WW, WO, WT < 1; WS + WW + WO + WT = 1;
- (g)
- Normalizing the data of the RMSFS matrix to define the relative weights WS1, WS2, …, WSn of the subfactors S1, S2, …, Sn; 0 < WS1, WS2, …, WSn < 1; WS1 + WS2 +…+ WSn = 1;
- (h)
- Normalizing the data of the RMSFW matrix to define the relative weights WW1, WW2, …, WWm of the subfactors W1, W2, …, Wm; 0 < WW1, WW2, …, WWm < 1; WW1 + WW2 +… + WWn = 1;
- (i)
- Normalizing the data of the RMSFO matrix to define the relative weights WO1, WO2, …, WOr of the subfactors O1, O2, …, Or; 0 < WO1, WO2, …, WOr < 1; WO1 + WO2 +… + WOr = 1;
- (j)
- Normalizing the data of RMSFT matrix to define the relative weights WT1, WT2, …, WTs of the subfactors T1, T2, …, Ts; 0 < WT1, WT2, …, WTs < 1; WT1 + WT2 +… + WTs = 1;
- (k)
- Defining the priority vectors (or eigen vectors) with the relative weights of main factors and subfactors (local values): PVMFi = [WS, WW, WO, WT]; PVSFSi = [WS1, WS2, …, WSn]; PVSFWi = [WW1, WW2, …, WWmm]; PVSFOi = [WO1, WO2, …, WOr]; PVSFTi = [WT1, WT2, …, WTs];
- (l)
- (m)
- Calculating the global values of the relative weights of the subfactors: WGSi = [WGS1, WGS2, …, WGSn]; WGWi = [WGW1, WGW2, …, WGWmm]; WGOi = [WGO1, WGO2, …, WGOr]; WGTi = [WGT1, WGT2, …, WGTs].
5.6. Calculations and Ranking
- PSi,j: Performance of strategy j with respect to the subfactors Si, 1 ≤ i ≤ n (positive influence)
- PWi,j: Performance of strategy j with respect to the subfactors Wi, 1 ≤ i ≤ m (negative influence)
- POi,j: Performance of strategy j with respect to the subfactors Oi, 1 ≤ i ≤ r (positive influence)
- PTi,j: Performance of strategy j with respect to the subfactors Ti, 1 ≤ i ≤ s (negative influence)
6. Discussion
6.1. Methodology Review
6.2. Interpretation of Results
6.3. Improvements in the Selected Strategy
7. Conclusions and Further Research
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Spanidis, P.-M.; Roumpos, C.; Pavloudakis, F. A Fuzzy-AHP Methodology for Planning the Risk Management of Natural Hazards in Surface Mining Projects. Sustainability 2021, 13, 2369. [Google Scholar] [CrossRef]
- Pavloudakis, F.; Roumpos, C.; Galetakis, M. Public Acceptance of Surface Mining Projects and the Determination of the Marginal Environmental Cost. Int. J. Min. Reclam. Environ. 2012, 26, 292–308. [Google Scholar] [CrossRef]
- Spanidis, P.-M.; Roumpos, C.; Pavloudakis, F. A Methodology Combining IDEF0 and Weighted Risk Factor Analysis for the Strategic Planning of Mine Reclamation. Minerals 2022, 12, 713. [Google Scholar] [CrossRef]
- Environmental Law Alliance Worldwide (ELAW). Guidebook for Evaluating Project Elias; Environmental Law Alliance Worldwide (ELAW): Eugene, OR, USA, 2010; ISBN 3978-0-9821214-36. [Google Scholar]
- Young, A.; Baretto, M.L. Towards a Circular Economy Approach to Mining Operations-Key Concepts, Drivers and Opportunities; Materials Efficiency Research Group (MERG), Environmental Integration Strategies Inc.: Saskatoon, SK, USA, 2021. [Google Scholar]
- Brown, L.R. Building a Sustainable Society, 1st ed.; A Worldwatch Institute book; Norton: New York, NY, USA, 1981; ISBN 978-0-393-01482-2. [Google Scholar]
- World Commission on Environment and Development (WCED). Our Common Future; Oxford University Press: Oxford, UK, 1987. [Google Scholar]
- Banuri, T.J.; Weyant, G.A.; Akumu, G.; Najam, A.; Pinguelli Rosa, L.; Rayner, S.; Sachs, W.; Sharma, R.; Yohe, G. Setting the Stage: Climate Change and Sustainable Development; Climate Change 2001, Mitigation; Intergovernmental Panel on Climate Change (IPCC); Cambridge University Press: Cambridge, UK, 2001. [Google Scholar]
- Robinson, J.B.; Herbert, D. Integrating Climate Change and Sustainable Development. Int. J. Glob. Environ. Issues 2001, 1, 130. [Google Scholar] [CrossRef]
- IPCC. Climate Change 2007: Mitigation of Climate Change: Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change; Metz, B., Davidson, O.R., Bosch, P.R., Dave, R., Meyer, L.A., Eds.; Cambridge University Press: Cambridge, UK; New York, NY, USA, 2007; ISBN 978-0-521-70598-1.
- Morelli, J. Environmental Sustainability: A Definition for Environmental Professionals. J. Environ. Sustain. 2011, 1, 2. [Google Scholar] [CrossRef]
- Voncken, J.H.L.; Buxton, M.W.N. Sustainability in Mining. In Chapter 12 of the Book: Critical Minerals-Underlying Causes and Sustainable Mitigation Strategies; World Scientific: Singapore; Delft University of Technology: Delft, The Netherlands, 2019; pp. 251–263. [Google Scholar] [CrossRef]
- Pavloudakis, F.; Roumpos, C.; Spanidis, P.M. Optimization of Surface Mining Operation Based on a Circular Economy Model. In Circular Economy and Sustainability; Elsevier: Amsterdam, The Netherlands, 2022; pp. 395–418. ISBN 978-0-12-821664-4. [Google Scholar]
- Purvis, B.; Mao, Y.; Robinson, D. Three Pillars of Sustainability: In Search of Conceptual Origins. Sustain. Sci. 2019, 14, 681–695. [Google Scholar] [CrossRef]
- Giddings, B.; Hopwood, B.; O’Brien, G. Environment, Economy and Society: Fitting Them Together into Sustainable Development. Sustain. Dev. 2002, 10, 187–196. [Google Scholar] [CrossRef]
- Buckley, R.C. Sustainable Development in the Australian Mining and Petroleum Industries: Case Studies and Issues; Department of Prime Minister and Cabinet: Canberra, Australia, 1990. [Google Scholar]
- Buckley, R.C. Sustainability in Mining, Environmental Management and Health. Environ. Manag. Health 1992, 3, 23–26. [Google Scholar] [CrossRef]
- Bradshaw, A. Restoration of Mined Lands—Using Natural Processes. Ecol. Eng. 1997, 8, 255–269. [Google Scholar] [CrossRef]
- Schulz, F.; Wiegleb, G. Development options of natural habitats in a post-mining landscape. Land Degrad. Dev. 2000, 11, 99–110. [Google Scholar] [CrossRef]
- Rovolis, A.; Kalimeris, P. Roadmap for the Transition of the Western Macedonia Region to a Post-Lignite Era; WWF Economic and Technical Assessment: Athens, Greece, 2016. [Google Scholar]
- McCullogh, C.D. Key Mine Closure Lessons to Be Learned; Australian Centre for Geomechanics: Perth, Australia, 2016; pp. 319–332. ISBN 978-0-99248810-4-9. [Google Scholar]
- Chuman, T. Restoration Practices Used on Post Mining Sites and Industrial Deposits in the Czech Republic with an Example of Natural Restoration of Granodiorite Quarries and Spoil Heaps. J. Landsc. Ecol. 2015, 8, 29–46. [Google Scholar] [CrossRef]
- Pactwa, K.; Konieczna-Fuławka, M.; Fuławka, K.; Aro, P.; Jaśkiewicz-Proć, I.; Kozłowska-Woszczycka, A. Second Life of Post-Mining Infrastructure in Light of the Circular Economy and Sustainable Development—Recent Advances and Perspectives. Energies 2021, 14, 7551. [Google Scholar] [CrossRef]
- Luminant. An Overview of Lignite Mine Reforestation at Luminant’s Martin Lake Mines in Eastern Texas; Luminant Co.: Dallas, TX, USA, 2015. [Google Scholar]
- Chen, J.; Jiskani, I.M.; Jinliang, C.; Yan, H. Evaluation and Future Framework of Green Mine Construction in China Based on the DPSIR Model. Sustain. Environ. Res. 2020, 30, 13. [Google Scholar] [CrossRef]
- Committee on Technologies for the Mining Industries. Evolutionary and Revolutionary Technologies for Mining; National Academies Press: Washington, DC, USA, 2002; p. 102. ISBN 978-0-309-07340-0. [Google Scholar]
- Dimitrakopoulos, R. Orebody Modelling and Strategic Mine Planning; Springer: Berlin/Heidelberg, Germany, 2018; ISBN 978-3-319-69320-0. [Google Scholar]
- Rakhmangulov, A.; Burmistrov, K.; Osintsev, N. Sustainable Open Pit Mining and Technical Systems: Concept, Principles, and Indicators. Sustainability 2021, 13, 1101. [Google Scholar] [CrossRef]
- Aznar-Sánchez, J.A.; Velasco-Muñoz, J.F.; Belmonte-Ureña, L.J.; Manzano-Agugliaro, F. Innovation and Technology for Sustainable Mining Activity: A Worldwide Research Assessment. J. Clean. Prod. 2019, 221, 38–54. [Google Scholar] [CrossRef]
- Mayes, W.M.; Hull, S.L.; Gomes, H.I. From Linear Economy Legacies to Circular Economy Resources: Maximising the Multifaceted Values of Legacy Mineral Wastes. In Circular Economy and Sustainability; Elsevier: Amsterdam, The Netherlands, 2022; pp. 409–431. ISBN 978-0-12-819817-9. [Google Scholar]
- Vo, T.L.; Nash, W.; Del Galdo, M.; Rezania, M.; Crane, R.; Mousavi Nezhad, M.; Ferrara, L. Coal Mining Wastes Valorization as Raw Geomaterials in Construction: A Review with New Perspectives. J. Clean. Prod. 2022, 336, 130213. [Google Scholar] [CrossRef]
- Saydam, S.; Hebblewhite, B.; Karmis, M.; Hitch, M. Mines of the Future; Society of Mining Professors: Morgantown, WV, USA, 2019. [Google Scholar]
- Spanidis, P.-M.; Roumpos, C.; Pavloudakis, F.; Servou, A.; Paraskevis, N. Developing Knowledge Management in Mine Reclamation Projects. In Proceedings of the Bulletin of the Geological Society of Greece, Sp. Publ. 10, Patras, Greece, 17 October 2022. Vol. Ext. Abs. GSG2022-338. [Google Scholar]
- Sloss, L. Coal Mine Site Reclamation. In Clean Coal Technology; IEA: Paris, France, 2013. [Google Scholar] [CrossRef]
- Imboden, C.; Moczek, N. Risks and Opportunities in the Biodiversity Management and Related Stakeholder Involvement of the RWE Hambach Lignite Mine; International Union for Conservation of Nature and Natural Resources: Gland, Switzerland, 2015. [Google Scholar]
- Tischew, S.; Kirmer, A.; Lorenz, A. Alternative Restoration Strategies in Former Lignite Mining Areas of Eastern Germany. In Biodiversity: Structure and Function; EOLSS Publishers Co., Ltd.: Oxford, UK, 2009. [Google Scholar]
- Fields-Johnson, C.W.; Zipper, C.E.; Burger, J.A.; Evans, D.M. Forest Restoration on Steep Slopes after Coal Surface Mining in Appalachian USA: Soil Grading and Seeding Effects. For. Ecol. Manag. 2012, 270, 126–134. [Google Scholar] [CrossRef]
- McCullough, C.D.; Lund, M.A. Bioremediation of Acidic and Metalliferous Drainage (AMD) through Organic Carbon Amendment by Municipal Sewage and Green Waste. J. Environ. Manag. 2011, 92, 2419–2426. [Google Scholar] [CrossRef]
- Yu, X. Coal Mining and Environmental Development in Southwest China. Environ. Dev. 2017, 21, 77–86. [Google Scholar] [CrossRef]
- Spanidis, P.-M.; Roumpos, C.; Pavloudakis, F. A Multi-Criteria Approach for the Evaluation of Low Risk Restoration Projects in Continuous Surface Lignite Mines. Energies 2020, 13, 2179. [Google Scholar] [CrossRef]
- Araya, N.; Ramírez, Y.; Kraslawski, A.; Cisternas, L.A. Feasibility of Re-Processing Mine Tailings to Obtain Critical Raw Materials Using Real Options Analysis. J. Environ. Manag. 2021, 284, 112060. [Google Scholar] [CrossRef] [PubMed]
- Xu, W.; Wang, J.; Zhang, M.; Li, S. Construction of Landscape Ecological Network Based on Landscape Ecological Risk Assessment in a Large-Scale Opencast Coal Mine Area. J. Clean. Prod. 2021, 286, 125523. [Google Scholar] [CrossRef]
- Kivinen, S. Sustainable Post-Mining Land Use: Are Closed Metal Mines Abandoned or Re-Used Space? Sustainability 2017, 9, 1705. [Google Scholar] [CrossRef]
- Project Management Institute (Ed.) A Guide to the Project Management Body of Knowledge: PMBOK® Guide, 5th ed.; PMI Global Standard; PMI: Newtown Square, PA, USA, 2013; ISBN 978-1-935589-67-9. [Google Scholar]
- Haney, M.; Shkaratan, M. Mine Closure and Its Impact on the Community: Five Years after Mine Closure in Romania, Russia and Ukraine; Policy Research Working Paper; World Bank: Washington, DC, USA, 2003. [Google Scholar]
- Swart, E. The South African Legislative Framework for Mine Closure. J. S. Afr. Inst. Min. Metall. 2003, 103, 469–492. [Google Scholar]
- Marais, L.; Atkinson, D. Towards a Post-Mining Economy in a Small Town: Challenges, Obstacles and Lessons From. In Proceedings of the Desert Knowledge Australia, Alice Springs, Australia, 2–4 November 2006. [Google Scholar]
- Stacey, J.; Naude, A.; Hermanus, M.; Frankel, P. The Socio-Economic Aspects of Mine Closure and Sustainable Development: Literature Overview and Lessons for the Socio-Economic Aspects of Closure-Report 1. J. S. Afr. Inst. Min. Metall. 2010, 110, 379–394. [Google Scholar]
- Swason, S. What Type of Lake Do We Want? Stakeholder Engagement in Planning for Beneficial End Uses of Pit Lakes. In Proceedings of the Sixth International Conference on Mine Closure, Reno, NV, USA, 2–5 October 2011; Australian Centre for Geomechanics: Crawley, Australia, 2011. [Google Scholar]
- Pactwa, K.; Woźniak, J.; Dudek, M. Sustainable Social and Environmental Evaluation of Post-Industrial Facilities in a Closed Loop Perspective in Coal-Mining Areas in Poland. Sustainability 2020, 13, 167. [Google Scholar] [CrossRef]
- Eurostat. Eurostat Inland Consumption of Brown Coal by EU Member States; Eurostat: Luxembourg, 2021.
- Buchholz, P.; Brandenburg, T. Demand, Supply, and Price Trends for Mineral Raw Materials Relevant to the Renewable Energy Transition Wind Energy, Solar Photovoltaic Energy, and Energy Storage. Chem. Ing. Technol 2018, 90, 141–153. [Google Scholar] [CrossRef]
- Stewart, D.G. Handbook of Western Reclamation of Techniques, 2nd ed.; University of Wyoming and US Office of Surface Mining Reclamation and Enforcement: Denver, CO, USA, 2006. [Google Scholar]
- Yonk, R.M.; Smith, J.T.; Wardle, A.R. Exploring the Policy Implications of the Surface Mining Control and Reclamation Act. Resources 2019, 8, 25. [Google Scholar] [CrossRef]
- Pavloudakis, F.; Roumpos, C.; Karlopoulos, E.; Koukouzas, N. Sustainable Rehabilitation of Surface Coal Mining Areas: The Case of Greek Lignite Mines. Energies 2020, 13, 3995. [Google Scholar] [CrossRef]
- Feting, C. The European Green Deal; ENDS Office: Vienna, Austria, 2020. [Google Scholar]
- Smol, M.; Marcinek, P.; Duda, J.; Szołdrowska, D. Importance of Sustainable Mineral Resource Management in Implementing the Circular Economy (CE) Model and the European Green Deal Strategy. Resources 2020, 9, 55. [Google Scholar] [CrossRef]
- Bellini, G.A.; Mathieu, F.; Mancini, L.; Nyberg, M.; Viejas, H.M. JERK Science for Policy Report. Recovery of Critical Raw and Other Materials from Mining Waste and Landfills–State of Play on Existing Practices; European Commission: Brussels, Belgium, 2019. [Google Scholar]
- Szwed, P.S. Expert Judgment in Project Management: Narrowing the Theory-Practice Gap; Project Management Institute Inc: Newtown Square, PA, USA, 2016; ISBN 978-1-62825-146-3. [Google Scholar]
- Hopkins, P.; Unger, M. What Is a “Subject-Matter Expert”? J. Pipeline Eng. 2017, 16, 227–230. [Google Scholar]
- Chang, H.-H.; Huang, W.-C. Application of a Quantification SWOT Analytical Method. Math. Comput. Model. 2006, 43, 158–169. [Google Scholar] [CrossRef]
- Kangas, J.; Kurttila, M.; Kajanus, M.; Kangas, A. Evaluating the Management Strategies of a Forestland Estate—The S-O-S Approach. J. Environ. Manag. 2003, 69, 349–358. [Google Scholar] [CrossRef] [PubMed]
- Ghazinoory, S.; Abdi, M.; Azadegan-Mehr, M. SWOT Methodology: A State-of-the-Art Review for the Past, A Framework for the Future. J. Bus. Econ. Manag. 2011, 12, 24–48. [Google Scholar] [CrossRef]
- Weihrich, H. The TOWS Matrix—A Tool for Situational Analysis. Long Range Plann. 1982, 15, 54–66. [Google Scholar] [CrossRef]
- Hill, T.; Westbrook, R. SWOT Analysis: It’s Time for a Product Recall. Long Range Plann. 1997, 30, 46–52. [Google Scholar] [CrossRef]
- Wickramasinghe, V.; Takano, S. Application of Combined SWOT and Analytic Hierarchy Process (AHP) for Tourism Revival Strategic Marketing Planning: A Case of Sri Lanka Tourism. J. East Asia Soc. Transp. Stud. 2010, 8, 954–969. [Google Scholar]
- Kangas, J.; Pesonen, M.; Kurtila, M.; Kajanus, M. A’WOT: Integrating AHP with SWOT Analysis. In Proceedings of the 6th International Symposium on the Analytic Hierarchy Process (ISHAP), Bern, Switzerland, 2–4 August 2001; pp. 189–198. [Google Scholar]
- Ishizaka, A.; Labib, A. Review of the Main Developments in the Analytic Hierarchy Process. Expert Syst. Appl. 2011, 38, 14336–14345. [Google Scholar] [CrossRef]
- Dey, P.K. A Risk-based Model for Inspection and Maintenance of Cross-country Petroleum Pipeline. J. Qual. Maint. Eng. 2001, 7, 25–43. [Google Scholar] [CrossRef]
- Kraujalienė, L. Comparative Analysis of Multicriteria Decision-Making Methods. Evaluating the Efficiency of Technology Transfer. Bus. Manag. Educ. 2019, 17, 72–93. [Google Scholar] [CrossRef]
- Triantaphyllou, E. Multi-Criteria Decision Making Methods: A Comparative Study; Applied Optimization; Springer US: Boston, MA, USA, 2000; Volume 44, ISBN 978-1-4419-4838-0. [Google Scholar]
- Velasquez, M.; Hester, P.T. An Analysis of Multi-Criteria Decision Making Methods. Int. J. Oper. 2013, 10, 56–66. [Google Scholar]
- Saaty, T.L. The Analytic Hierarchy Process; RWS Publications: Pittsburgh, PA, USA, 1980. [Google Scholar]
- Saaty, T.L.; Vargas, L.G. Prediction, Projection and Forecasting; Springer: Dordrecht, The Netherlands, 1991; ISBN 978-94-015-7954-4. [Google Scholar]
- Al-Harbi, K.M.A.-S. Application of the AHP in Project Management. Int. J. Proj. Manag. 2001, 19, 19–27. [Google Scholar] [CrossRef]
- Saaty, T.L. Decision Making with the Analytic Hierarchy Process. Int. J. Serv. Sci. 2008, 1, 83–98. [Google Scholar] [CrossRef]
- Saaty, T. Decision Making with Dependence and Feedback: The Analytic Network Process: The Organization and Prioritization of Complexity; RWS Publications: Pittsburgh, PA, USA, 1996. [Google Scholar]
- Padur, K.; Purre, A.-H. Optimizing Post-Mining Land-Use Decision Making in Cooperation with Stakeholders. Environ. Dev. Sustain. 2022, 24, 4875–4900. [Google Scholar] [CrossRef]
- Bacovis, M.M.C.; Nascimento-e-Silva, D.; Borchardt, M.; de Melo, A. Framework Proposal to Organize Sustainability Strategies Towards a Transition to the Circular Economy. In Industrial Engineering and Operations Management; Thomé, A.M.T., Barbastefano, R.G., Scavarda, L.F., dos Reis, J.C.G., Amorim, M.P.C., Eds.; Springer Proceedings in Mathematics & Statistics; Springer International Publishing: Berlin/Heidelberg, Germany, 2020; Volume 337, pp. 257–272. ISBN 978-3-030-56919-8. [Google Scholar]
- Geisendorf, S.; Pietrulla, F. The Circular Economy and Circular Economic Concepts-a Literature Analysis and Redefinition. Thunderbird Int. Bus. Rev. 2018, 60, 771–782. [Google Scholar] [CrossRef]
Strengths | Weaknesses | |
---|---|---|
Opportunities | SO Strategies (maxi-maxi) “Symbiosis of Lignite Mining, Agriculture, and Biomass” | WO Strategies (mini-maxi) “Development of an Agro-Economy” |
SO1: Operation of lignite mine to fuel thermal power unit(s) that are still in operation and small heat and power cogeneration plants; new CE markets for lignite (e.g., soil amendments and activated carbon) SO2: Use of refuse-derived fuels (RDF) produced by local solid waste treatment facilities and development of energy crops on the reclaimed mine areas for the production of biomass that will be burned in small-scale heat and power cogeneration plants SO3: Development of greenhouse parks using the heat produced by the power cogeneration plants located nearby | WO1: Development of arable land that local farmers will cultivate WO2: Development of livestock and beekeeping farming in reclaimed waste heaps that are located close to the mountains that surround the lignite-baring basin | |
Threats | ST Strategies (maxi-mini) “The Mines are Transformed into ‘Green’ Energy Centers” | WT Strategies (mini-mini) “Development of Industrial Zones within an Ecologically Restored Area(s)” |
ST1: Development of photovoltaic parks on horizontal surfaces of waste heaps and expropriated areas that have not been used for the expansion of the mine pits and waste heaps ST2: Utilization of the final mine pits as pump reservoirs for both water and energy storage | WT1: Development of industrial zones and small-to-medium enterprise (SME) parks in ecologically restored areas that are advantageous due to ease of access, distance from residential areas, the existence of infrastructure and utility networks, availability of recreational facilities, etc. WT2: Maximization of surfaces covered by forests and artificial lakes to support the rapid recovery of ecological functions; mild interventions with an emphasis on leisure and sports and other activities improving the quality of life of local people and creating opportunities for the development of tourism |
1 | Equal Importance |
---|---|
3 | Moderate importance of one factor/subfactor to another |
5 | Strong or essential importance |
7 | Very strong importance |
9 | Extreme importance |
2, 4, 6 | Values of inverse comparison(s) |
Main Factors (MFi) | S | W | O | T | PVMFi |
---|---|---|---|---|---|
S(trengths) | 1 | 1 | 2 | 1 | Ws = 0.288 |
W(eaknesses) | 1 | 1 | 2 | 2 | WW = 0.338 |
O(pporunities) | 1/2 | 1/2 | 1 | 1 | WO = 0.169 |
T(hreats) | 1 | 1/2 | 1 | 1 | WT = 0.205 |
n = 4; CI = 0.02; RI = 0.90; CR = 0.022 < 0.10 | 1.000 |
Strengths, Si | S1 | S2 | S3 | S4 | S5 | S6 | S7 | S8 | S9 | S10 | PVSFSi |
---|---|---|---|---|---|---|---|---|---|---|---|
S1 | 1 | 1 | 5 | 3 | 1/2 | 3 | 1 | 2 | 2 | 1 | WS1 = 0.145 |
S2 | 1 | 1 | 4 | 3 | 1 | 2 | 2 | 2 | 2 | 1 | WS2 = 0.150 |
S3 | 1/5 | 1/4 | 1 | 1 | 1/2 | 2 | 1 | 1 | 1 | 1 | WS3 = 0.071 |
S4 | 1/3 | 1/3 | 1 | 1 | 1/3 | 1 | 1 | 1 | 1 | 1 | WS4 = 0.065 |
S5 | 2 | 1 | 2 | 3 | 1 | 3 | 2 | 3 | 3 | 1 | WS5 = 0.168 |
S6 | 1/3 | 1/2 | 1/2 | 1 | 1/3 | 1 | 1 | 3 | 2 | 1 | WS6 = 0.079 |
S7 | 1 | 1/2 | 1 | 1 | 1/2 | 1 | 1 | 3 | 3 | 1/2 | WS7 = 0.092 |
S8 | 1/2 | 1/2 | 1 | 1 | 1/3 | 1/3 | 1/3 | 1 | 1 | 1/3 | WS8 = 0.051 |
S9 | 1/2 | 1/2 | 1 | 1 | 1/3 | 1/2 | 1/3 | 1 | 1 | 1/4 | WS9 = 0.051 |
S10 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 3 | 4 | 1 | WS10 = 0.128 |
n = 10; CI = 0.08; RI = 1.49; CR = 0.052 < 0.10 | 1.000 |
Weaknesses, Wi | W1 | W2 | W3 | W4 | W5 | W6 | W7 | W8 | W9 | W10 | PVSFWi |
---|---|---|---|---|---|---|---|---|---|---|---|
W1 | 1 | 1 | 1/3 | 3 | 1 | 1 | 1 | 2 | 2 | 1/2 | WW1 = 0.094 |
W2 | 1 | 1 | 1 | 3 | 1/2 | 2 | 2 | 2 | 3 | 1 | WW2 = 0.125 |
W3 | 3 | 1 | 1 | 5 | 2 | 3 | 3 | 5 | 3 | 1 | WW3 = 0.204 |
W4 | 1/3 | 1/3 | 1/5 | 1 | 1/2 | 1/2 | 1/3 | 2 | 3 | 1/2 | WW4 = 0.057 |
W5 | 1 | 2 | 1/2 | 2 | 1 | 2 | 2 | 3 | 3 | 2 | WW5 = 0.145 |
W6 | 1 | 1/2 | 1/3 | 2 | 1/2 | 1 | 1 | 1 | 2 | 1 | WW6 = 0.076 |
W7 | 1 | 1/2 | 1/3 | 3 | 1/2 | 1 | 1 | 2 | 2 | 1 | WW7 = 0.086 |
W8 | 1/2 | 1/2 | 1/5 | 1/2 | 1/3 | 1 | 1/2 | 1 | 1 | 2 | WW8 = 0.062 |
W9 | 1/2 | 1/3 | 1/3 | 1/3 | 1/3 | 1/2 | 1/2 | 1 | 1 | 1/4 | WW9 = 0.041 |
W10 | 2 | 1 | 1 | 2 | 1/2 | 1 | 1 | 1/2 | 4 | 1 | WW10 = 0.110 |
n = 10; CI = 0.09; RI = 1.49; CR = 0.058 < 0.10 | 1.000 |
Opportunities, Oi | O1 | O2 | O3 | O4 | O5 | O6 | O7 | O8 | O9 | O10 | PVSFOi |
---|---|---|---|---|---|---|---|---|---|---|---|
O1 | 1 | 5 | 3 | 2 | 3 | 3 | 5 | 6 | 4 | 2 | WO1 = 0.254 |
O2 | 1/5 | 1 | 1 | 1 | 1 | 1/2 | 2 | 2 | 1 | 1 | WO2 = 0.081 |
O3 | 1/3 | 1 | 1 | 1 | 1 | 2 | 2 | 3 | 2 | 1 | WO3 = 0.104 |
O4 | 1/2 | 1 | 1 | 1 | 2 | 3 | 3 | 4 | 3 | 2 | WO4 = 0.148 |
O5 | 1/3 | 1 | 1 | 1/2 | 1 | 2 | 2 | 3 | 2 | 1 | WO5 = 0.097 |
O6 | 1/3 | 2 | 1/2 | 1/3 | 1/2 | 1 | 2 | 3 | 2 | 1 | WO6 = 0.085 |
O7 | 1/5 | 1/2 | 1/2 | 1/3 | 1/2 | 1/2 | 1 | 2 | 1 | 1/2 | WO7 = 0.048 |
O8 | 1/6 | 1/2 | 1/3 | 1/4 | 1/3 | 1/3 | 1/2 | 1 | 1/2 | 1/5 | WO8 = 0.031 |
O9 | 1/4 | 1 | 1/2 | 1/3 | 1/2 | 1/2 | 1 | 2 | 1 | 1/2 | WO9 = 0.053 |
O10 | 1/2 | 1 | 1 | 1/2 | 1 | 1 | 2 | 5 | 2 | 1 | W10 = 0.100 |
n = 10; CI = 0.04; RI = 1.49; CR = 0.024 < 0.10 | 1.000 |
Threats, Ti | T1 | T2 | T3 | T4 | T5 | T6 | T7 | T8 | T9 | T10 | T11 | T12 | PVSFTi |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T1 | 1 | 3 | 2 | 3 | 2 | 2 | 3 | 1 | 1 | 2 | 2 | 2 | WT1 = 0.140 |
T2 | 1/3 | 1 | 1 | 1 | 1 | 1 | 1 | 1/2 | 1/2 | 1/2 | 1 | 1/2 | WT2 = 0.054 |
T3 | 1/2 | 1 | 1 | 2 | 1 | 1/2 | 1 | 1 | 1/2 | 1 | 1 | 1 | WT3 = 0.063 |
T4 | 1/3 | 1 | 1/2 | 1 | 1 | 1/2 | 1/2 | 1/2 | 1/2 | 1/2 | 1 | 1/5 | WT4 = 0.042 |
T5 | 1/2 | 1 | 1 | 1 | 1 | 1 | 2 | 1/3 | 1 | 2 | 1/5 | 2 | WT5 = 0.075 |
T6 | 1/2 | 1 | 2 | 2 | 1 | 1 | 2 | 1 | 1 | 2 | 2 | 1 | WT6 = 0.091 |
T7 | 1/3 | 1 | 1 | 2 | 1/2 | 1/2 | 1 | 1 | 1 | 1 | 2 | 1 | WT7 = 0.069 |
T8 | 1 | 2 | 1 | 2 | 3 | 1 | 1 | 1 | 2 | 3 | 3 | 3 | WT8 = 0.130 |
T9 | 1 | 2 | 2 | 2 | 1 | 1 | 1 | 1/2 | 1 | 3 | 1 | 2 | WT9 = 0.104 |
T10 | 1/2 | 2 | 1 | 2 | 1/2 | 1/2 | 1 | 1/3 | 1/3 | 1 | 1 | 1/2 | WT10 = 0.064 |
T11 | 1/2 | 1 | 1 | 1 | 5 | 1/2 | 1/2 | 1/3 | 1 | 1 | 1 | 1 | WT11 = 0.080 |
T12 | 1/2 | 2 | 1 | 5 | 1/2 | 1 | 1 | 1/3 | 1/2 | 2 | 1 | 1 | WT12 = 0.089 |
n = 12; CI = 0.10; RI = 1.48; CR = 0.070 < 0.10 | 1.000 |
Very High | High | Medium | Low | Very Low | Nil |
---|---|---|---|---|---|
0.42 | 0.26 | 0.16 | 0.10 | 0.06 | 0.00 |
STG1 | STG2 | STG3 | STG4 | STG5 | STG6 | STG7 | STG8 | STG9 | |
SO1 | SO2 | SO3 | WO1 | WO2 | ST1 | ST2 | WT1 | WT2 | |
ΣUSj | 0.046 | 0.055 | 0.052 | 0.089 | 0.056 | 0.061 | 0.055 | 0.049 | 0.060 |
ΣUWj | 0.066 | 0.059 | 0.061 | 0.088 | 0.083 | 0.066 | 0.072 | 0.051 | 0.077 |
ΣUOj | 0.036 | 0.034 | 0.043 | 0.037 | 0.028 | 0.026 | 0.022 | 0.032 | 0.032 |
ΣUTj | 0.048 | 0.037 | 0.040 | 0.051 | 0.045 | 0.041 | 0.045 | 0.035 | 0.047 |
Uj | 0.196 | 0.185 | 0.196 | 0.265 | 0.212 | 0.194 | 0.194 | 0.167 | 0.216 |
UNj | 0.107 | 0.101 | 0.107 | 0.145 | 0.116 | 0.106 | 0.106 | 0.092 | 0.118 |
UNj (%) | 10.70 | 10.10 | 10.70 | 14.50 | 11.60 | 10.60 | 10.60 | 9.20 | 11.80 |
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Spanidis, P.-M.; Roumpos, C.; Pavloudakis, F. Evaluation of Strategies for the Sustainable Transformation of Surface Coal Mines Using a Combined SWOT–AHP Methodology. Sustainability 2023, 15, 7785. https://doi.org/10.3390/su15107785
Spanidis P-M, Roumpos C, Pavloudakis F. Evaluation of Strategies for the Sustainable Transformation of Surface Coal Mines Using a Combined SWOT–AHP Methodology. Sustainability. 2023; 15(10):7785. https://doi.org/10.3390/su15107785
Chicago/Turabian StyleSpanidis, Philip-Mark, Christos Roumpos, and Francis Pavloudakis. 2023. "Evaluation of Strategies for the Sustainable Transformation of Surface Coal Mines Using a Combined SWOT–AHP Methodology" Sustainability 15, no. 10: 7785. https://doi.org/10.3390/su15107785
APA StyleSpanidis, P. -M., Roumpos, C., & Pavloudakis, F. (2023). Evaluation of Strategies for the Sustainable Transformation of Surface Coal Mines Using a Combined SWOT–AHP Methodology. Sustainability, 15(10), 7785. https://doi.org/10.3390/su15107785