Deep slurry injection is a process of solid waste disposal that involves grinding the solid waste to a relatively fine-grained consistency, mixing the ground waste with water and/or other liquids to form slurry, and disposing of the slurry by pumping it down a well at a high enough pressure that fractures are created within the target formation. This thesis describes the site assessment criteria involved in selecting a suitable target reservoir for deep slurry injection. The main goals of this study are the follows: <ul> <li>Identify the geological parameters important for a prospective injection site</li> <li>Recognize the role of each parameter</li> <li>Determine the relationships among different parameters</li> <li>Design and develop a model which can assemble all the parameters into a semi-quantitative evaluation process that could allow site ranking and elimination of sites that are not suitable</li> <li>Evaluate the model against several real slurry injection cases and several prospective cases where slurry injection may take place in future</li> </ul> The quantitative and qualitative parameters that are recognized as important for making a decision regarding a target reservoir for deep slurry injection operations are permeability, porosity, depth, areal extent, thickness, mechanical strength, and compressibility of a reservoir; thickness and flow properties of the cap rock; geographical distance between an injection well and a waste source or collection centre; and, regional and detailed structural and tectonic setup of an area. Additional factors affecting the security level of a site include the details of the lithostratigraphic column overlying the target reservoir and the presence of overlying fracture blunting horizons. Each parameter is discussed in detail to determine its role in site assessment and also its relationship with other parameters. A geological assessment model is developed and is divided into two components; a decision tree and a numerical calculation system. The decision tree deals with the most critical parameters, those that render a site unsuitable or suitable, but of unspecified quality. The numerical calculation gives a score to a prospective injection site based on the rank numbers and weighting factors for the various parameters. The score for a particular site shows its favourability for the injection operation, and allows a direct comparison with other available sites. Three categories have been defined for this purpose, i. e. average, below average, and above average. A score range of 85 to 99 of 125 places a site in the ?average? category; a site will be unsuitable for injection if it belongs to the ?below average? category, i. e. if the total score is less than 85, and the best sites will generally have scores that are in the ?above average? category, with a score of 100 or higher. One may assume that for sites that fall in the ?average? category there will have to be more detailed tests and assessments. The geological assessment model is evaluated using original geological data from North America and Indonesia for sites that already have undergone deep slurry injection operations and also for some possible prospective sites. The results obtained from the model are satisfactory as they are in agreement with the empirical observations. Areas for future work consist of the writing of a computer program for the geological model, and further evaluation of the model using original data from more areas representing more diverse geology from around the world.

With the election of President Trump, climate deniers feel emboldened and moved from the fringes to the centre of global policy making. We study how an agnostic approach to policy, based on Pascal's wager and allowing for subjective prior probability beliefs about whether climate deniers are right, prices carbon. Using the DICE integrated assessment model, we find that assigning a 10% chance of climate deniers being correct lowers the global price on carbon in 2020 only marginally: from $21 to $19 per ton of carbon dioxide if policymakers apply "Nordhaus discounting" and from $91 to $84 per ton of carbon dioxide if they apply "Stern discounting". Agnostics' reflection of remaining scientific uncertainty leaves climate policy essentially unchanged. The robustness of an ambitious climate policy also follows from using the max-min or the min-max regret principle. Letting the coefficient of relative ambiguity aversion vary from zero, corresponding to expected utility analysis, to infinity, corresponding to the max-min principle, we show how policy makers deal with fundamental climate model uncertainty if they are prepared to assign prior probabilities to different views of the world being correct. Allowing for an ethical discount rate and a higher market discount rate and for a wide range of sensitivity exercises including damage uncertainty, we show that pricing carbon is the robust response under rising climate scepticism. / Series: Ecological Economic Papers

Deep slurry injection is a process of solid waste disposal that involves grinding the solid waste to a relatively fine-grained consistency, mixing the ground waste with water and/or other liquids to form slurry, and disposing of the slurry by pumping it down a well at a high enough pressure that fractures are created within the target formation. This thesis describes the site assessment criteria involved in selecting a suitable target reservoir for deep slurry injection. The main goals of this study are the follows: <ul> <li>Identify the geological parameters important for a prospective injection site</li> <li>Recognize the role of each parameter</li> <li>Determine the relationships among different parameters</li> <li>Design and develop a model which can assemble all the parameters into a semi-quantitative evaluation process that could allow site ranking and elimination of sites that are not suitable</li> <li>Evaluate the model against several real slurry injection cases and several prospective cases where slurry injection may take place in future</li> </ul> The quantitative and qualitative parameters that are recognized as important for making a decision regarding a target reservoir for deep slurry injection operations are permeability, porosity, depth, areal extent, thickness, mechanical strength, and compressibility of a reservoir; thickness and flow properties of the cap rock; geographical distance between an injection well and a waste source or collection centre; and, regional and detailed structural and tectonic setup of an area. Additional factors affecting the security level of a site include the details of the lithostratigraphic column overlying the target reservoir and the presence of overlying fracture blunting horizons. Each parameter is discussed in detail to determine its role in site assessment and also its relationship with other parameters. A geological assessment model is developed and is divided into two components; a decision tree and a numerical calculation system. The decision tree deals with the most critical parameters, those that render a site unsuitable or suitable, but of unspecified quality. The numerical calculation gives a score to a prospective injection site based on the rank numbers and weighting factors for the various parameters. The score for a particular site shows its favourability for the injection operation, and allows a direct comparison with other available sites. Three categories have been defined for this purpose, i. e. average, below average, and above average. A score range of 85 to 99 of 125 places a site in the ?average? category; a site will be unsuitable for injection if it belongs to the ?below average? category, i. e. if the total score is less than 85, and the best sites will generally have scores that are in the ?above average? category, with a score of 100 or higher. One may assume that for sites that fall in the ?average? category there will have to be more detailed tests and assessments. The geological assessment model is evaluated using original geological data from North America and Indonesia for sites that already have undergone deep slurry injection operations and also for some possible prospective sites. The results obtained from the model are satisfactory as they are in agreement with the empirical observations. Areas for future work consist of the writing of a computer program for the geological model, and further evaluation of the model using original data from more areas representing more diverse geology from around the world.

Budget cuts at a California community college prompted stakeholders to consider dropping the college's general education information literacy (IL) requirement. Broad institutional outcomes data showed learning gains, but no targeted assessment existed regarding the IL requirement's impact on those gains. This quantitative study used Astin and Antonio's Inputs-Environment-Outcomes (I-E-O) assessment model to address relationships among student characteristics of demographic and prior preparation (Inputs), the IL requirement (Environment), and student reports of information critical analysis behavior and confidence (Outcomes). Study participants were 525 students aged 18 years and older who had completed the IL course with a grade of 2.0 or better and volunteered to complete an anonymous survey. The majority of participants reported the IL requirement had a positive impact upon subsequent coursework, with 87% stating that taking it in the first or second term would be most helpful. Less preparedness for information critical analysis prior to the IL course was significantly correlated (r = -.35, r = -.38, p < .001) with higher reported frequency of 2 measures of information evaluation changes following completion of the course. The 3 hierarchical multiple regression analyses revealed that the predictors of student demographic characteristics, prior student preparation, and IL course format contributed significantly to reported information critical analysis and confidence. The study's outcome was a white paper with recommendations to support completion of the IL course requirement early, continue the IL requirement, and repeat the study's survey in the future. Effective IL education promotes information evaluation behaviors essential to informed members of society.

The PhD thesis is composed of three chapters and discusses the policy choice under uncertainty and learning in the context of climate change.

The intensifying nature and extent of disasters together with the associated devastation and astronomical costs required to manage the rippling effects of disasters, enunciates the national and international focus on disaster risk reduction. Further the ever evolving and complex dynamics of risk as the decisive contributor to disasters has heightened the urgency to pursue effective disaster risk assessment as a prerequisite to inform the disaster risk management planning and disaster risk reduction intervention processes. A structured and systematic approach to disaster risk assessment assists in maintaining rigour thus promoting the quality and validity of the process and its outcomes. Appropriate models serve as valuable tools in enabling this methodological perspective to undertake disaster risk assessment. The nonexistence of an appropriate disaster risk assessment model in South Africa has initiated the emphasis and purpose of this study thereby underscoring the critical need for the development of an effective, holistic and integrated disaster risk assessment model for local government in South Africa. In spear heading the process towards the development of an appropriate disaster risk assessment model, the research commenced with establishing and asserting the fundamental link between disaster risk assessment and disaster risk reduction as an avenue to contextualise and ground the key issues in effective disaster risk reduction. The exploratory analysis engaged in presenting a theoretical construct of disaster risk assessment examined the core components informing the disaster risk assessment process. This discussion led to the comparative review of three disaster risk assessment models viz the Community-Wide Vulnerability and Capacity Assessment (CVCA) Model, the Community-Based Risk Reduction Model and the South African Disaster Risk Assessment Model interrogating the significant characteristics, structure and application of the models. The results of the comparison of the above three models provided the necessary insight for the development of the disaster risk assessment model for local government in South Africa. Further influenced by the outcomes of the applied research on the critical analysis of the current disaster risk assessment practice within the four selected municipalities representing local government in South Africa; viz eThekwini Metropolitan, Ekurhuleni Metropolitan, Bojanala District and Stellenbosch local Municipalities. Through the data coding, classification and interpretive process, constructive and correlated research findings were immanent guiding the final development of the integrated disaster risk assessment model for local government in South Africa. / Thesis (Ph.D. (Public Management and Administration))--North-West University, Potchefstroom Campus, 2012

The intensifying nature and extent of disasters together with the associated devastation and astronomical costs required to manage the rippling effects of disasters, enunciates the national and international focus on disaster risk reduction. Further the ever evolving and complex dynamics of risk as the decisive contributor to disasters has heightened the urgency to pursue effective disaster risk assessment as a prerequisite to inform the disaster risk management planning and disaster risk reduction intervention processes. A structured and systematic approach to disaster risk assessment assists in maintaining rigour thus promoting the quality and validity of the process and its outcomes. Appropriate models serve as valuable tools in enabling this methodological perspective to undertake disaster risk assessment. The nonexistence of an appropriate disaster risk assessment model in South Africa has initiated the emphasis and purpose of this study thereby underscoring the critical need for the development of an effective, holistic and integrated disaster risk assessment model for local government in South Africa. In spear heading the process towards the development of an appropriate disaster risk assessment model, the research commenced with establishing and asserting the fundamental link between disaster risk assessment and disaster risk reduction as an avenue to contextualise and ground the key issues in effective disaster risk reduction. The exploratory analysis engaged in presenting a theoretical construct of disaster risk assessment examined the core components informing the disaster risk assessment process. This discussion led to the comparative review of three disaster risk assessment models viz the Community-Wide Vulnerability and Capacity Assessment (CVCA) Model, the Community-Based Risk Reduction Model and the South African Disaster Risk Assessment Model interrogating the significant characteristics, structure and application of the models. The results of the comparison of the above three models provided the necessary insight for the development of the disaster risk assessment model for local government in South Africa. Further influenced by the outcomes of the applied research on the critical analysis of the current disaster risk assessment practice within the four selected municipalities representing local government in South Africa; viz eThekwini Metropolitan, Ekurhuleni Metropolitan, Bojanala District and Stellenbosch local Municipalities. Through the data coding, classification and interpretive process, constructive and correlated research findings were immanent guiding the final development of the integrated disaster risk assessment model for local government in South Africa. / Thesis (Ph.D. (Public Management and Administration))--North-West University, Potchefstroom Campus, 2012

Thesis (MEng)--Stellenbosch University, 2014. / ENGLISH ABSTRACT: The enactment of the new Constitution of South Africa, 1996, gave prominence to the trans-formation of local government in South Africa. Rooted in the Constitution, the Municipal Systems Act, 2000, and the Municipal Structures Act, 1998, guide municipalities towards establishing structured performance management practices. As part of a comprehensive legislative framework for local government, these acts moreover state the functions of mu-nicipalities that include the delivery of basic municipal services. These services include amongst other, water provision, refuse removal, sanitation, electricity provision, municipal roads as well as stormwater management. Despite a range of statutory provisions, policy instruments and capacity improvement initiatives with a view to provide a democratic, participative, responsive, effective and efficient local sphere of government, South African municipalities, in general, continue to fail in eradicating service delivery backlogs. This is, at least partially, the result of the policies and practices of the apartheid era. Apart from eradicating backlogs, non-sustaining service delivery to communities has become a noticeable phenomenon. As a result, in 2012 the highest number of service delivery protests over the past decade occurred. The underperformance of municipalities can be linked to insufficient organisational capacity. This multidimensional concept consists of individual, institutional and environmental capacity. This study views capacity building as a key enabler for municipal performance improvement. Relating to this, capacity assessment is the first and foremost component of capacity building. Hence, it can be assumed that a correlation exists between municipalities’ service delivery performance and the degree to which municipalities are aware of its capacity to fulfil its service delivery mandate. Municipalities are mandated by the Municipal Systems Act, 2000 to perform internal capacity assessments when a new or reviewed Integrated Development Plan (IDP) is considered, and also when outsourcing of municipal services is considered. Besides this the Municipal Demarcation Board (MDB) is mandated by the Municipal Structures Act, 1998, to perform annual municipal capacity assessments. Though criticised for its untimeliness, narrow approach and inconsistency, the MDB municipal capacity assessment generates valuable insight. This is widely used by provincial governments, municipalities and private parties for policy formulation, strategic decision-making and capacity building initiatives. This exemplifies that if accurate municipal capacity data can frequently be attained, the effects on service delivery improvement initiatives can be profound. This research study aims to make a contribution in formulating solutions for needs that currently exist in this regard in South Africa. The focus of this study is the development of both a municipal capacity assessment frame-work and a subjective municipal capacity self-assessment model (SMCSAM), a software tool built in Microsoft’s Visual Basic for Applications (VBA) for engineering services at municipalities. The framework for municipal capacity assessment comprises of fifteen elements of capacity and eighteen service delivery phases. A third dimension of the framework exists in recognition of the six basic municipal services. This framework accordingly implements the matrix-method. SMCSAM implements the consolidated framework based on statements to be rated by the municipality according to their reality. SMCSAM allows the municipality to allocate weights to each of the fifteen elements of overall organisational capacity through the use of a Fuzzy Logic Hierarchical Analytical Process. Consequently, ratings of the statements are weighed and illustrated through two interactive user-interfaces which allow the municipality to instantly identify capacity strengths and weaknesses. To achieve this, assessment results are illustrated using colour-coding and related spider-diagrams. SMCSAM was implemented at Drakenstein Municipality and demonstrated to academics as well as experts in the public and private sector for validation purposes. Its results proved to be accurate and applicably related to the performance of this municipality. Through its implementation and validation, SMCSAM proved to be a valuable, understandable and practical solution to a noteworthy problem at municipalities in South Africa. In doing so, SMCSAM significantly contribute to research in the field of engineering management. / AFRIKAANSE OPSOMMING: Die aanvaarding van die nuwe Grondwet van Suid-Afrika, 1996 het grootliks aanleiding gegee tot die transformasie van plaaslike regering in Suid-Afrika. Munisipaliteite word deur die Wet op Munisipale Stelsels, 2000, en die Wet op Munisipale Strukture, 1998, begelei in die implementering van gestruktureerde prestasiebestuur praktyke. As deel van 'n omvattende wetgewende raamwerk, definieer hierdie twee wette ook die funksies van munisipaliteite, wat die lewering van basiese dienste insluit. Basiese dienste sluit onder andere watervoorsiening, vullisverwydering, sanitasie, elektrisiteitsvoorsiening, munisipale paaie en stormwaterbestuur in. Ten spyte van dié statutêre voorsienings, gepaardgaande beleidmaatreëls en inisiatiewe vir kapasiteitsverbetering met die doel om ʼn demokratiese, deelnemende, responsiewe, effektiewe en doeltreffende plaaslike sfeer van regering daar te stel, misluk baie munisipaliteite in Suid-Afrika in hul pogings om jarelange diensleweringsagterstande uit te wis. Hierdie agterstande is gedeeltelike die gevolg van die beleide en praktyke van die apartheidsera. Afgesien van die vertraagde uitwissing van agterstande, word munisipaliteite se onvermoë om effektiewe dienslewering aan gemeenskappe vol te hou, ook geïdentifiseer as ʼn probleemarea. As ʼn gevolg hiervan, het die jaarlikse hoeveelheid diensleweringproteste in 2012 ʼn nuwe hoogtepunt bereik. Die onvermoë van munisipaliteite om hul diensleweringsmandaat uit te voer kan grootliks toegeskryf word aan onvoldoende organisatoriese kapasiteit. Dié multidimensionele konsep bestaan uit individuele-, institusionele- en omgewingskapasiteit. Hierdie studie beskou kapasiteitsontwikkeling as ʼn fundamentele dryfkrag vir beter munisipale dienslewering, terwyl die assessering van munisipale kapasiteit die eerste en belangrikste fase van kapasiteitsontwikkeling is. Dit kan dus aanvaar word dat daar ʼn korrelasie bestaan tussen ʼn munisipaliteit se diensleweringsprestasie en die mate waartoe die munisipaliteit bewus is van sy kapasiteit om sy diensleweringsmandate na te kom. Munisipaliteite word deur die Wet op Munisipale Stelsels, 2000, verplig om ʼn interne kapasiteits-assessering te doen wanneer ʼn nuwe of hersiende Geïntegreerde Ontwikkelingsplan (GOP) oorweeg word of wanneer daar besluit moet word oor die uitkontraktering van munisipale dienslewering. Terselfdertyd word die Munisipale Afbakeningsraad (MAR) deur die Wet op Munisipale Strukture, 1998, verplig om jaarlikse munisipale kapasiteits-assesserings uit te voer. Alhoewel die MAR se munisipale kapasiteits-assessering gekritiseer word vir die ontydigheid, inkonsekwentheid en beperkte aanslag daarvan, word die resultate van hierdie assessering aangewend deur provinsiale regerings, munisipaliteite asook ander rolspelers in die publieke- en privaatsektor vir die doel om beleid te formuleer, strategiese besluite te neem en kapasiteit te bou. Dit dui daarop dat wanneer akkurate data van munisipale kapasiteit gereeld versamel word, dit grootliks dienslewering verbeteringsinisiatiewe kan aanhelp. Die studie ondersoek ʼn innoverende metode vir die selfassessering van munisipale kapasiteit. Die fokus van die studie is die ontwikkeling van ʼn gekonsolideerde munisipale kapasiteits-assesseringsraamwerk en ʼn geassosieerde subjektiewe munisipale kapasiteit selfassesseringsmodel (SMCSAM), ʼn sagtewarepakket wat geprogrammeer is in Microsoft se Visual Basic for Applications (VBA). Die raamwerk bestaan uit vyftien elemente van kapasiteit en agtien diensleweringsfases. ʼn Derde dimensie van die raamwerk bestaan in die erkenning van die voorgenoemde ses basiese dienste. Hierdie raamwerk implementeer die matriksmetode dienooreenkomstig. SMCSAM implementeer die gekonsolideerde raamwerk gebaseer op stellings wat gegradeer moet word deur munisipaliteite binne die konteks van hul eie realiteit. SMCSAM laat munisipaliteite toe om gewigte te koppel aan elkeen van die vyftien elemente van kapasiteit deur middel van ʼn Fuzzy Logic Hiërargiese Ontledingsproses. Dit gebruik twee interaktiewe gebruikerskoppelvlakke wat munisipaliteite toelaat om vinnig die sterk- en swakpunte van hul organisatoriese kapasiteit te identifiseer. Hierdie resultate word aangedui deur middel van grafieke en kleur-kodering. SMCSAM is getoets by die Drakenstein Munisipaliteit en gedemonstreer aan akademici en deskundiges in die privaat en publieke sektor. Die resultate van die assessering dui op ʼn realistiese verwantskap tussen die munisipaliteit se organisatoriese kapasiteit en diensleweringsprestasie. Deur die implementering en validasie van SMCSAM, is dit bewys dat dié model ʼn waardevolle, verstaanbare en ʼn praktiese oplossing bied vir ʼn werklike probleem by munisipaliteite in Suid-Afrika. Sodoende, maak die model ʼn betekenisvolle bydra tot die navorsingsveld van ingenieursbestuur.

To survive in the global market the manufacturing companies need to meet the cus-tomer demands quickly and effectively. Therefore, lot of companies are striving to overcome the demand fluctuation and uncertainty. RMS is a concept which handles uncertainty easily by running the product mix and varying the level of volume accord-ing to the requirement. The reconfigurability level of manufacturing system is as-sessed by evaluating the criteria affecting the characteristics of the system.The characteristics of reconfigurability are scalability, customization, convertibility, modularity, integrability and diagnosability. A RMS achieves quick and cost effective changes through customization and convertibility, it handles volume variations through scalability. These characteristics are achieved with the help of modularity and integrability. A detailed assessment of a manufacturing system based on these charac-teristics will indicate its level of reconfigurability. Hence assessment of a manufactur-ing system for reconfigurability becomes necessary in the current turbulent market conditions.This research presents a method to assess the reconfigurability in a manufacturing system. The research is divided into two parts where, in the first part a qualitative as-sessment method is developed, and it is then tested in the second part. The study uses two research methods namely literature review and case study. Based on literature re-view assessment criteria for each characteristic of reconfigurability are listed and an assessment method is developed. The assessment method uses a radar chart to repre-sent the level of reconfigurability. This is supported with a case study where the de-veloped assessment method is tested and validated.

Magister Commercii (Information Management) - MCom(IM) / The purpose of the study described in this thesis was to investigate the structure required to implement and manage digital forensic readiness within an enterprise. A comparative analysis of different digital forensic readiness frameworks was performed and, based on the findings of the analysis, the digital forensic readiness commonalities framework (DFRCF) was extended. The resultant structure was used to design a digital forensic readiness maturity assessment model (DFRMAM) that will enable organisations to assess their forensic readiness. In conclusion, both the extended DFRCF and the DFRMAM are shown to be validated by forensic practitioners, using semi-structured interviews. A qualitative research design and methodology was used to perform a comparative analysis of the various digital forensic readiness frameworks, to comprehend the underlying structures. All the participant responses were recorded and transcribed. Analysis of the findings resulting from the study showed that participants mostly agreed with the structure of the extended DFRCF; however, key changes were introduced to the extended DFRCF. The participants also validated the DFRMAM, and the majority of respondents opted for a checklist-type MAM. Digital forensic readiness is a very sensitive topic since organisations fear that their information might be made public and, as a result, increase their exposure to forensic incidents and reputational risk. Because of this, it was difficult to find participants who have a forensic footprint and are willing, able, and knowledgeable about digital forensic readiness. This study will contribute to the body of knowledge by presenting an original, validated DFRCF and DFRMAM. Practitioners and organisations now have access to non-proprietary DFRMAM.