M.A.(Geography) / The prevention of environmental deterioration and the concept of sustainable development has become a major concern worldwide. However, increasingly affluent lifestyles along with continual commercial and industrial growth have led to the rapid increase in waste production (Renoua et al., 2008). The most common method of dealing with this production of waste is the disposal thereof by landfill, although this technique is widely viewed as unsustainable. Landfilling is critical to integrated waste management in South Africa due to its simplicity and cost effectiveness (Allen, 2001). Thus, there is a great need for environmentally acceptable landfill management practices. This research is primarily concerned with landfill management strategies and their effect on operational and management issues. A comparative analysis of the Marie Louise and Rooikraal landfill sites was carried out to distinguish differences in landfill management strategies and their outcome on operational and management issues. A concept, indicator, variable approach was used as comparative framework, while external audit reports, landfill management plans, and interviews were used as data sources identifying indicators and variables for analysis. Findings revealed that the Rooikraal landfill has been performing at a high standard, while the Marie Louise landfill has been underperforming due to a number of management failures. Factors that could have contributed to this failure include: external factors and its strain on effective management, capacity of local governments to deliver services with regard to waste management, issues surrounding co-operative governance, legal enforcement and compliance, and lack of control and awareness over landfill operations. These issues are direct consequences of landfill management and operation through municipal entities, making landfill management through municipal entities a key area of concern for effective landfill operations.

Landfill mining (LFM) is an alternative strategy to manage landfills that integrates remediation with secondary resource recovery. At present, LFM remains as an emerging concept with a few pilot-scale project implementations, which presents challenges when assessing its economic performance. These challenges include large knowledge deficits about the individual processes along the LFM process chain, lack of know-how in terms of project implementation and economic drivers, and limited applicability of results to specific case studies. Based on how these challenges were addressed, this thesis aims to analyze the usefulness and validity of different economic assessments of LFM towards the provision of better support for decision-making and in-depth learning for the development of cost-efficient projects. Different studies were analyzed including the previous studies through a systematic literature review and the factor-based method that is developed in this thesis. Four categories of economic assessment approaches were derived in terms of the study object that is about either an individual LFM project (case-study specific) or multiple LFM projects in a region (generic); and in terms of the extent of analysis that is about either the identification of the net economic potential (decision-oriented) or extended towards an in-depth learning of what builds up such result (learning-oriented). Across the different approaches, most of the previous studies have questionable usefulness and validity. The unaddressed parametric uncertainties exclude the influence of using inherently uncertain input data due to large knowledge deficits. While the narrowly accounted scenario uncertainties limits the fact that LFM can be done in various ways and settings in terms of site selection, project set-up and regulatory and market conditions. In essence, these uncertainties propagate from case-study specific to generic study object. From decision-oriented to learning-oriented studies, the identification of what builds up the result are unsystematically determined that raises issues on their subsequent recommendations for improvement based on superficially derived economic drivers. The factor-based method, with exploratory scenario development and global sensitivity analysis, is presented as an approach to performing generic and learning-oriented studies. As for general recommendations, applied research is needed to aid large knowledge deficits, methodological rigor is needed to account for uncertainties and systematically identify economic drivers, and learningoriented assessment is needed to facilitate future development of LFM. This thesis highlights the important role of economic assessments, which is not only limited for the assessment of economic potential but also for learning and guiding the development of emerging concepts such as LFM.