Adequate supply and availability of nitrogen (N) is a major factor hindering successful revegetation of reclaimed surface mines. Because topsoils are often unrecoverable, “topsoil substitutes”, made up of overburden materials devoid of N, are often used on reclaimed surfaces. Four replications of seven surface treatments were applied to 12 m² plots of 2:1 sandstone:siltstone material on a reclaimed coal surface mine in Wise Co., VA: 1) fertilizer (168 kg/ha N, 147 kg/ha P, and 139 kg/ha K), 2) limed (7.8 Mg/ha), fertilized topsoil (30 cm deep), 3) 112 Mg/ha sawdust + fertilizer + 336 kg/ha slow-release N, and 4-7) lime-treated municipal sewage sludge at rates of 22, 56, 112, and 224 Mg/ha. Nitrogen availability after 40 mo (as determined by aerobic and anaerobic incubations) in sawdust- and sludge-amended soils was two to 20 times higher than in fertilized and topsoil-amended soils. Moisture holding capacity was nearly twice as high in sawdust-amended soils as in all other treatments. Soil nitrate (NO₃⁻) levels (0-20 cm layer) in excess of 75 μg/g were detected in the 112 and 224 Mg/ha sludge plots 28 mo after application. Stem volumes of three-year-old pitch X loblolly pines (<i>Pinus rigida</i> X <i>taeda</i>) were four times larger in soils amended with sawdust + slow-release N and were twice as large in soils amended with 22 and 56 Mg/ha sludge compared to fertilized-only seedlings. Increased seedling mortality was observed in the 112 and 224 Mg/ha sludge treatments, possibly due to high soluble salt levels and/or manganese deficiencies. The availability of N from sawdust + slow-release N or sludge (≤ 56 Mg/ha) is better than that of inorganic fertilizer for sustained tree growth. These amendments are recommended for reclamation to the extent that they are economically available. / M.S.

Thesis (MBA (Business Management))--University of Stellenbosch, 2009.

published_or_final_version / Real Estate and Construction / Master / Master of Science in Construction Project Management

published_or_final_version / Environmental Management / Master / Master of Science in Environmental Management

A research report submitted to the Faculty of Humanities, University of Witwatersrand, Johannesburg, in partial fulfillment of the requirements for the degree of Master of Arts (MA), Applied Ethics for Professionals Johannesburg, 2016 / The South African Mining Industry is confronted by a continual wave of labour unrest due to the unfulfilled socio-economic expectations of its employees and surrounding communities. The industry reportedly also has a very high wage gap between the mine workers and executives. This essay advocates for extensive Corporate Social Responsibility (CSR) by the South African mining industry not only to help address the socio-economic issues in and around mining communities but also to restore stability and ensure that the industry flourishes. As part of advancing my position, I show that the implementation of enlarged CSR by the mining industry is consistent with Rawls's account of justice and with the United Nations Guiding Principles on Business, the Universal Declaration of Human Rights, and the South African government's Mining Charter. I argue that by embracing the concept of enlarged CSR and collaborating with its supplier base towards this end, the mining industry can improve socio-economic conditions and prevent the collapse of the industry much to the benefit of the mining industry and its stakeholders, including the citizens of South Africa at large who benefit from tax revenues generated by the industry. / MT2018

by Chung Ho Yan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 127-141). / Text in English; abstracts in English and Chinese. / by Chung Ho Yan. / Acknowledgments --- p.i / Abstract --- p.ii / Table of Contents --- p.v / List of Figures --- p.xi / List of Plates --- p.xiv / List of Tables --- p.xv / Chapter 1. --- INTRODUCTION --- p.1 / Chapter 1.1 --- Textile-Dyeing Industry in Hong Kong --- p.1 / Chapter 1.2 --- Processes Involved in Dyeing Industry --- p.3 / Chapter 1.2.1 --- Desizing --- p.3 / Chapter 1.2.2 --- Scouring --- p.3 / Chapter 1.2.3 --- Bleaching --- p.3 / Chapter 1.2.4 --- Mercerizing --- p.4 / Chapter 1.2.5 --- Dyeing and Printing --- p.4 / Chapter 1.2.6 --- Finishing --- p.4 / Chapter 1.3 --- Characterization of Wastewater of Dyeing Industry --- p.5 / Chapter 1.4 --- Toxicity of Effluent from Textile-Dyeing Industry --- p.9 / Chapter 1.5 --- Related Environmental Legislation --- p.9 / Chapter 1.6 --- Chemical Specific Approach and Toxicity Based Approach --- p.11 / Chapter 1.7 --- Whole-Effluent Toxicity (WET) Test --- p.13 / Chapter 1.8 --- Toxicity Identification Evaluation --- p.14 / Chapter 1.8.1 --- Phase I - Toxicity Characterization --- p.15 / Chapter 1.8.2 --- Phase II - Toxicity Identification --- p.15 / Chapter 1.8.3 --- Phase III - Toxicity Confirmation --- p.18 / Chapter 1.9 --- Toxicity Identification Evaluation on Effluent from Textile-Dyeing Industry --- p.19 / Chapter 1.10 --- Organisms Used for Toxicity Identification Evaluation --- p.20 / Chapter 1.11 --- Selection of Organisms for Bioassays --- p.20 / Chapter 2. --- OBJECTIVES --- p.24 / Chapter 3. --- MATERIALS AND METHODS --- p.25 / Chapter 3.1 --- Sources of Samples --- p.25 / Chapter 3.2 --- Whole Effluent Toxicity Test - Baseline Toxicity Test --- p.28 / Chapter 3.2.1 --- Microtox® test --- p.28 / Chapter 3.2.2 --- "Survival test of the marine amphipod, Hyale crassicornis" --- p.29 / Chapter 3.2.3 --- "Survival test of the brine shrimp, Artemia franciscana" --- p.33 / Chapter 3.2.4 --- "Survival test of the freshwater water flea, Daphnia magna" --- p.36 / Chapter 3.3 --- Toxicity Identification Evaluation ´ؤ Phase I Toxicity Characterization --- p.40 / Chapter 3.3.1 --- pH adjustment filtration test --- p.41 / Chapter 3.3.2 --- pH adjustment aeration test --- p.42 / Chapter 3.3.3 --- pH adjustment cation exchange test --- p.43 / Chapter 3.3.4 --- pH adjustment anion exchange test --- p.44 / Chapter 3.3.5 --- pH adjustment C18 solid phase extraction (C18 SPE) test --- p.45 / Chapter 3.3.6 --- pH adjustment XAD-2 solid phase extraction (XAD-2 SPE) test --- p.46 / Chapter 3.4 --- Toxicity Identification Evaluation - Phase II Toxicity Identification --- p.47 / Chapter 3.4.1 --- Determination of anions --- p.48 / Chapter 3.5 --- Toxicity Identification Evaluation ´ؤ Phase III Toxicity Confirmation --- p.50 / Chapter 3.5.1 --- Mase balance test --- p.50 / Chapter 3.5.2 --- Spiking test --- p.51 / Chapter 4. --- RESULTS --- p.52 / Chapter 4.1 --- Characteristics of Samples --- p.52 / Chapter 4.2 --- Whole Effluent Toxicity Test - Baseline Toxicity Test --- p.52 / Chapter 4.2.1 --- Toxicity of effluent sample determined by the Microtox® test --- p.52 / Chapter 4.2.2 --- Toxicity of effluent samples determined by Hyale crassicornis survival test --- p.52 / Chapter 4.2.3 --- Toxicity of effluent samples determined by Artemia franciscana survival test --- p.57 / Chapter 4.2.4 --- Toxicity of effluent samples determined by Daphnia magna survival test --- p.51 / Chapter 4.3 --- Toxicity Identification Evaluation - Phase I Toxicity Characterization --- p.57 / Chapter 4.3.1 --- Toxicity characterization of effluent samples determined by Hyale crassicornis survival test --- p.60 / Chapter 4.3.2 --- Toxicity characterization of effluent samples determined by Artemia franciscana survival test --- p.68 / Chapter 4.3.3 --- Toxicity characterization of effluent samples determined by Daphnia magna survival test --- p.68 / Chapter 4.4 --- Toxicity Identification Evaluation ´ؤ Phase II Toxicity Identification --- p.72 / Chapter 4.4.1 --- Baseline anion concentrations in effluent samples --- p.75 / Chapter 4.4.2 --- Sample1 --- p.75 / Chapter 4.4.3 --- Sample2 --- p.75 / Chapter 4.4.4 --- Sample3 --- p.75 / Chapter 4.4.5 --- Sample4 --- p.81 / Chapter 4.4.6 --- Sample5 --- p.81 / Chapter 4.4.7 --- Sample6 --- p.81 / Chapter 4.5 --- Toxicity Identification Evaluation 一 Phase III Toxicity Confirmation --- p.85 / Chapter 4.5.1 --- Mass balance test results --- p.85 / Chapter 4.5.2 --- Spiking test results --- p.96 / Chapter 5. --- DISCUSSION --- p.102 / Chapter 5.1 --- Whole Effluent Toxicity Test ´ؤ Baseline Toxicity Test --- p.102 / Chapter 5.1.1 --- Toxicity of effluent sample determined by the Microtox® test --- p.102 / Chapter 5.1.2 --- Toxicity of effluent samples determined by Hyale crassicornis survival test --- p.103 / Chapter 5.1.3 --- Toxicity of effluent samples determined by Artemia franciscana survival test --- p.104 / Chapter 5.1.4 --- Toxicity of effluent samples determined by Daphnia magna survival test --- p.104 / Chapter 5.2 --- Toxicity Identification Evaluation ´ؤ Phase I Toxicity Characterization --- p.105 / Chapter 5.2.1 --- pH adjustment filtration test --- p.105 / Chapter 5.2.2 --- pH adjustment aeration test --- p.106 / Chapter 5.2.3 --- pH adjustment cation exchange test --- p.106 / Chapter 5.2.4 --- pH adjustment anion exchange test --- p.106 / Chapter 5.2.5 --- pH adjustment C18 solid phase extraction (C18 SPE) test --- p.107 / Chapter 5.2.6 --- pH adjustment XAD-2 solid phase extraction (XAD-2 SPE) test --- p.107 / Chapter 5.3 --- Toxicity Identification Evaluation - Phase II Toxicity Identification --- p.107 / Chapter 5.3.1 --- Efficiency on chemical reduction of pH adjustment filtration test --- p.109 / Chapter 5.3.2 --- Efficiency on chemical reduction of pH adjustment aeration test --- p.109 / Chapter 5.3.3 --- Efficiency on chemical reduction of pH adjustment cation exchange test --- p.109 / Chapter 5.3.4 --- Efficiency on chemical reduction of pH adjustment anion exchange test --- p.109 / Chapter 5.3.5 --- Efficiency on chemical reduction of pH adjustment CI8 SPE test --- p.109 / Chapter 5.3.6 --- Efficiency on chemical reduction of pH adjustment XAD-2 SPE test --- p.110 / Chapter 5.4 --- Toxicity Identification Evaluation - Phase III Toxicity Confirmation --- p.110 / Chapter 5.4.1 --- Mass balance test results --- p.110 / Chapter 5.4.2 --- Spiking test results --- p.114 / Chapter 5.5 --- Comparison of Toxicant(s) Identified in the Six Dyeing Industrial Effluents --- p.117 / Chapter 5.6 --- Toxicant(s) Identified in Textile-Dyeing Industrial Effluent --- p.119 / Chapter 5.7 --- "Sources, Fate and Treatment of Sulfite Ion" --- p.120 / Chapter 5.8 --- Toxicity of Sulfite Ion --- p.121 / Chapter 5.9 --- Effect of Salinity on the Toxicity of Sulfite Ion --- p.122 / Chapter 5.10 --- Recommendation --- p.123 / Chapter 6. --- CONCLUSIONS / Chapter 7. --- REFERENCES / Chapter 8. --- APPENDICES

Thesis (M.Sc. (Soil Science)) --University of Limpopo, 2013 / The study was conducted to assess the impact of mining activities on selected soil physical, chemical and microbial properties on farmlands around three selected mining sites. Nine soil samples were collected from each of the following farms : Hans Merensky, Mogoboya and Leon Tom, Foskor Mine and JCI mining sites, respectively. Additional nine soil samples were collected from non-polluted Waterbok farm that serves as a control for the purpose of comparison. The samples were taken at 0–15, 15–30, 30–45 cm depths at three sampling points on each farm for physical, chemical and biological studies. However, soil samples collected for microbial (fungi, bacteria and actinomycetes) counts were surface (0–15 cm) soil samples. Soil chemical properties determined include pHw, electrical conductivity (ECe), exchangeable acidity (EA), organic carbon, available phosphorous, exchangeable cations as well as heavy metal (i.e. Mn, Zn, Cu, Pb, Cd, As and Sb) concentrations. The physical parameters determined include texture (sand, silt and clay) as well as bulk density. Soil pHw and ECe values decreased with depth; and ranged from 6.94 to 6.50 and from 12.24 to 10.76 mS cm-1, respectively. Exchangeable acidity showed a gradual increase with depth and ranged from 0.72 to 0.80 cmol(+)(kg), while percent organic carbon decreased with depth ranging from 1.41 to 2.19 %. Exchangeable cations, particularly K and Mg increased with depth while Ca decreased marginally with soil depth. Available phosphorous content decreased following increases in distance from the pollution source while heavy met.al contamination decreased with soil depth but increased further away from the pollution source. Significantly high loads of Pb, As and Sb were recorded at all depths on the three farms around the mining sites, which were largely responsible for the pollution but worse on the Leon Tom farm; with Pb constituting the greatest pollutant. The concentration of extractable heavy metals in the studied areas was in the order: As >Sb>Pb>Zn>Cu >Mn >Cd. Cadmium level appeared generally very low in all samples while elevated levels of Mn, Cu and Zn were detected at all depths in the polluted soils.Significant differences in microbial levels were detected at the various sampling points. The highest count of 3.82 and 6.20 CFU g-1 for fungi and actinomycete, respectively were both from the Leon Tom farm, while 6.46 CFU g-1 counts for bacteria was obtained from Mogoboya farm. Interestingly, fungal and actinomycetes activities were more sensitive to heavy metal contamination than bacteria that were significantly increased following soil pollution. / National Research Foundation (NRF)

This study identifies the Indonesian policies that established large scale, export oriented and externally controlled (LEE)industrialization from the perspective of local people in the industrializing area, the planning that implemented these policies in Central Java and the ways in which the local people's lives are being affected. It identifies the links between the policy and the planning, and between the planning and the impacts. This study is based on data gathered from provincial, municipal and local planners, affected people, factory owners, and workers. LEE industrial development has often been successful in terms of its contribution to Regional Gross Domestic Product (GDP) and to the creation of low wage employment opportunities. However, this success has been accompanied by significant economic, social and environmental impacts on local people. The economic impacts include loss of livelihood and jobs, and decrease of family income. The social impacts comprise the weakening of community cohesion and the disruption of the people's daily lives. The environmental impacts include floods, lack of clean water, water pollution, and air pollution. The impacts of LEE industrialization have been documented by various studies including this one. What has not been adequately analyzed and documented is the process that produces the impacts. This study helps to fill the gap. It concludes that the impacts stem from the following factors. The national development emphasizes large scale and export oriented industrialization. The top-down development planning ensures that this policy is supported at the provincial level regardless of local conditions, needs and priorities. The arbitrary nature of provincial decision-making provides for no popular input. Impact assessment studies fail to provide the information necessary for planners, decision-makers and ideally the local leaders about the likely impacts of industrialization. The way the responsible government agencies solve environmental problems tends to protect factory interests. The impacts are exacerbated by a lack of adequate monitoring and enforcement of environmental regulations. The thesis concludes that substantive policy reform and process restructuring are required to achieve sound planning for industrial development. If quality of life is to be protected and enhanced, industrial policies should be reoriented to strengthening existing local economic activities; and planning restructured to enable local planners and affected people to be fully involved at all stages including impact management.

In 1993, facing a future of escalating land-use controversies and a less than sympathetic public attitude towards mining, major corporations in the British Columbia mining industry and the provincial government invested in a public education project: Vancouver's Science World's Mine Games exhibit. This thesis will examine two pedagogical highlights of the Mine Games exhibit promoted by Science World and its sponsors. They are the interactivity of the exhibit (as evidenced by the hands-on stations and the computer games) and the decision-making or 'consensus-building' process experienced in the simulated town-meeting, Hotseat! One of the virtues of an exhibition that explicitly makes a case for its merits and attempts to tell an important story is that it encourages debate and makes possible the suggestion of other stories. In this thesis, I critique Mine Games on the claims it has made for itself. The thesis adopts a comparative approach, contrasting the pedagogical goals and content of the Mine Games exhibit with school based mining curriculum. I argue that the narrative and museological conventions of the exhibit reveal the story of Mine Games for what it is — a specific, comedic story that excludes other stories. Hidden under the facade of high-tech displays and computer games is a traditional approach used both in schools and museums to exercise control and deliver a non-threatening message: environmental controversies are resolvable, all it takes is reasoned compromise.

Recent studies of the environmental Kuznets curve raise questions regarding the relationship between environmental indicators and GDP and the fundamental reasons that explain this relationship. In response, this thesis presents one-sector and two-sector models to analyze the alternative causal relationships between an environmental indicator and GDP at different stages of economic development. These models analyze how economic scale, technology, preferences, and economic structure influence the causality and shape of the relationship. These theoretical studies are followed by two empirical studies. The first tests the causal relationship between CO2 emissions and GDP in Canadian manufacturing industries. The second explores several factors as the fundamental causes that influence the CO2 emissions in the same industries. Factors, such as economic scale, preferences, technological progress, structural change, and energy input, are found to be crucial in the determination of CO2 emissions. The empirical results are positive, but there are data limitations. The empirical studies can be re-evaluated as more data becomes available.