Dissertations / Theses on the topic 'Swan Bay'

Thesis (Ph. D.)--West Virginia University, 2006.
Title from document title page. Document formatted into pages; contains xvi, 161 p. : ill. (some col.), maps (some part col.). Includes abstract. Includes bibliographical references.

Swan Bay is a shallow marine embayment of Port Phillip Bay, just north of Queenscliff, Victoria. It has been part of the Harold Holt Marine Reserves since 1977 and is a seagrass habitat. This study investigated the species of fish present in the inter-tidal zone of Swan Bay, collected information on their ecology, investigated the importance of Swan Bay compared to Port Phillip Bay as a nursery and/or breeding area and compared these results with those of similar seagrsss habitats. Field work was carried out monthly over a two year period, from April 1981 to April 1983, using beach seine nets at Swan Bay and Portarlington. Forty four species of fish were identified from Swan Bay and nineteen from Portarlington. Fish were most abundant during the summer and autumn months when seagrass growth was at a maximum and least abundant during winter due to the absence of seasonal residents and decreased numbers of permanent residents. Swan Bay was found to be an important nursery ground for two commercially-caught species: the Yellow-eye Mullet and the King George Whiting. Juvenile Yellow-eye Mullet were more numerous in Swan Bay than at Portarlington. Smell juvenile King George Whiting were more abundant at Portarlington than in Swan Bay where older juveniles were more numerous. The fish fauna of Swan Bay was found to be similar to western Port but the abundance of species varied. Atherinosome microstoma was the dominant species in terms of abundance and biomass. Diet was found to be different from that reported by Robertson (1979) at Western Port due to the different range of prey items.

Waterfowl are known to be capable of influencing wetland ecology in a number of ways, sometimes to the detriment of other species that also inhabit this type of environment. Western Golden Bay including Farewell Spit is one of the largest areas of intertidal sand flat habitat in New Zealand and supports a wide array of species including internationally important populations of bar-tailed godwits (Limosa lapponica) and red knot (Calidris canutus). These species, particularly red knot, have declined in number over the last the 25 years at this site. Another numerous species at this site, the black swan (Cygnus atratus), has been suggested as a possible contributor to the observed decline in wader numbers through their impact on the habitat. This thesis presents the findings of a research project on the role of black swans in the tidal seagrass (Zostera muelleri) ecosystem in western Golden Bay carried out between October 2007 and October 2008. In an effort create a clear picture of what role the black swans play in this environment the project focused on four major aspects of swan-ecosystem interactions. The first of these looked at the activity patterns of black swan. This showed the swans’ activity is largely dictated by the tidal cycle with foraging occurring during the intertidal period when the seagrass is accessible while roosting is mostly confined to around high and low tides. The second part of the project explored the influence black swans have on the tidal seagrass landscape through their foraging habits. This showed that while swan foraging occurs across the tide flats it is concentrated on denser patches, on both small (meters) and large (hectares) scales. Experimental grubbings showed that the grubbing activity of swans is capable of forming and expanding bare sand patches within seagrass beds and that these bare patches can persist for at least two months. The third part of the project focused on the direct impacts of swan foraging on the seagrass and associated benthic invertebrates. Exclusion plots showed that at some sites swan foraging can significantly reduce Zostera biomass and invertebrate biodiversity. The final aspect examined was the role of swan in biomass and nutrient cycling. A faecal deposition survey showed swans consume 23.40 g DW ha-1 day-1 of Zostera. The average intake rate was 27.25 g DW ha-1 day-1. Nutrient analysis of seagrass 4 showed that shoot material has significantly higher N, P, Ca and fibre than rhizome and that rhizome has significantly more soluble carbohydrates than shoots. On the basis of the swans’ direct and/or indirect influences on Zostera muelleri beds and the associated invertebrate fauna, swans could arguably be considered to be a major ecosystem engineer in the intertidal sandflats of Golden Bay.

The Morro Bay Watershed, which is located inSan Luis Obispo County,California, covers more than 48,000 acres of land and discharges intoMorroBaythrough the Morro Bay National Estuary (MBNE). The Chorro Creek Subwatershed consists of approximately 30,000 acres of the overall watershed. The MBNE provides an ecosystem that supports a variety of wildlife from the common sea gull to the endangered sea otter. The estuary is also home to over 200 species of birds. The operational waterfront of theMorroBayHarborwas and continues to be a strong supporter to the local economy of the City of Morro Bay. Numerous studies were conducted since the 1990s throughout the watershed to study the sedimentation of the estuary and bay and identified accelerated erosion and subsequent sedimentation as a major threat to sustainability of the bay. As a result, various Best Management Practices (BMPs) were implemented in the watershed to reduce sediment loading and transport to the bay. Localized evaluations of various BMPs have been performed to investigate effectiveness of individual BMPs. This paper consolidates this information and develops a comprehensive spatially distributed watershed simulation model (1) for detailed understanding of the erosion and sedimentation processes in the watershed; (2) to evaluate a watershed scale effectiveness of the conservation practices that were installed in the watershed; (3) to identify optimal BMP types and sites that may be used in the future to further reduce sedimentation of the bay at minimal cost; (4) to organize and document the various sources of data and studies that have been performed to date in the Chorro Creek subwatershed. Soil and Water Assessment Tool (SWAT) was used to develop the model and to evaluate the pre- and post-BMP implementation characteristics in the subwatershed. Combining the data and efforts of past BMP evaluations, land use, soil type, climate data, and streamflow data, statistical evaluations, and model sensitivity analysis will help build and calibrate a robust SWAT model that can be used to track BMP evaluation efforts, as well as other watershed management tasks. Through the evaluation of BMPs in the watershed, efforts can be made to implement the more successful BMPs in the watershed or in other similar watersheds. Sensitivity analysis was performed using a global sensitivity analysis method and streamflow and sediment yield was calibrated using the Shuffled Complex Evolution-University ofArizona.

Climate change impacts hydrology, nutrient cycling, agricultural conservation practices, and greenhouse gas (GHG) emissions. The Chesapeake Bay and its watershed are subject to the largest and most expensive Total Maximum Daily Load (TMDL) ever developed. It is unclear if the TMDL can be met given climate change and variability (e.g., extreme weather events). The objective of this dissertation is to quantify the impact of climate change and climate on water resources, nutrient cycling and export in agroecosystems, and agricultural conservation practices in the Chesapeake Bay watershed. This is accomplished by developing and employing a suite of modelling tools. GHG emissions from agroecosystems, particularly nitrous oxide (N2O), are an increasing concern. To quantify N2O emissions a routine was developed for the Soil and Water Assessment Tool (SWAT) model. The new routine predicts N2O and di-nitrogen (N2) emissions by coupling the C and N cycles with soil moisture, temperature, and pH in SWAT. The model uses reduction functions to predict total denitrification (N2 + N2O production) and partitions N2 from N2O using a ratio method. The SWAT nitrification routine was modified to predict N2O emissions using reduction functions. The new model was tested using GRACEnet data at University Park, Pennsylvania, and West Lafayette, Indiana. Results showed strong correlations between plot measurements of N2O flux and the model predictions for both test sites and suggest that N2O emissions are particularly sensitive to soil pH and soil N, and moderately sensitive to soil temperature/moisture and total soil C levels. The new GHG model was then used to analyze the impact of climate change and extreme weather conditions on the denitrification rate, N2O emissions, and nutrient cycling/export in the 7.4 km2 WE38 watershed in Pennsylvania. Climate change impacts hydrology and nutrient cycling by changing soil moisture, stoichiometric nutrient ratios, and soil temperature, potentially complicating mitigation measures. To quantify the impact of climate change we forced the new GHG model with downscaled and bias-corrected regional climate model output and derived climate anomalies to assess their impact on hydrology, nitrate (NO3-), phosphorus (P), and sediment export, and on emissions of N2O and N2. Model-average (± standard deviation) results indicate that climate change, through an increase in precipitation, will result in moderate increases in winter/spring flow (2.7±10.6 %) and NO3- export (3.0±7.3 %), substantial increases in dissolved P (DP, 8.8±19.8 %), total P (TP, 4.5±11.7 %), and sediment (17.9±14.2 %) export, and greater N2O (63.3±50.8 %) and N2 (17.6±20.7 %) emissions. Conversely, decreases in summer flow (-12.4±26.7 %) and the export of P (-11.4±27.4 %), TP (-7.9±24.5 %), sediment (-4.1±21.4 %), and NO3- (-12.2±31.4 %) are driven by greater evapotranspiration from increasing summer temperatures. Increases in N2O (20.1±29.3 %) and decreases in N2 (-13.0±14.6 %) are also predicted in the summer and driven by increases in soil moisture and temperature. In an effort to assess the impact of climate change at a regional level, the model was then scaled-up to the entire Susquehanna River basin and was used to evaluate if agricultural best management practices (BMPs) can offset the impact of climate change. Agricultural BMPs are increasingly and widely employed to reduce diffuse nutrient pollution. Climate change can complicate the development, implementation, and efficiency of BMPs by altering hydrology, nutrient cycling, and erosion. We select and evaluate four common BMPs (buffer strips, strip crop, no-till, and tile drainage) to test their response to climate change. We force the calibrated model with six downscaled global climate models (GCMs) for a historic period (1990-2014) and two future scenario periods (2041-2065) and (2075-2099) and quantify the impact of climate change on hydrology, NO3-, total N (TN), DP, TP, and sediment export with and without BMPs. We also tested prioritizing BMP installation on the 30% of agricultural lands that generate the most runoff (e.g., critical source areas-CSAs). Compared against the historical baseline and excluding the impact of BMPs, the ensemble model mean (± standard deviation?) predictions indicate that climate change results in annual increases in flow (4.5±7.3%), surface runoff (3.5±6.1%), sediment export (28.5±18.2%) and TN (9.5±5.1%), but decreases in NO3- (12±12.8%), DP (14±11.5%), and TP (2.5±7.4%) export. When agricultural BMPs are simulated most do not appreciably change the overall water balance; however, tile drainage and strip crop decrease surface runoff generation and the export of sediment, DP, and TP, while buffer strips reduced N export substantially. Installing BMPs on critical source areas (CSAs) results in nearly the same level of performance for most practices and most pollutants. These results suggest that climate change will influence the performance of BMPs and that targeting BMPs to CSAs can provide nearly the same level of water quality impact as more widespread adoption. Finally, recognizing that all of these model applications have considerable uncertainty associated with their predictions, we develop and employ a Bayesian multi-model ensemble to evaluate structural model prediction uncertainty. The reliability of watershed models in a management context depends largely on associated uncertainties. Our Objective is to quantify structural uncertainty for predictions of flow, sediment, TN, and TP predictions using three models: the SWAT-Variable Source Area model (SWAT-VSA), the standard SWAT model (SWAT-ST), and the Chesapeake Bay watershed model (CBP-model). We initialize each of the models using weather, soil, and land use data and analyze outputs of flow, sediment, TN, and TP for the Susquehanna River basin at the Conowingo Dam in Conowingo, Maryland. Using these three models we fit Bayesian Generalized Non - Linear Multilevel Models (BGMM) for flow, sediment, TN, and TP and obtain estimated outputs with 95% confidence intervals. We compare the BGMM results against the individual model results and straight model averaging (SMA) results using a split time period analysis (training period and testing period) to assess the BGMM in a predictive fashion. The BGMM provided better predictions of flow, sediment, TN, and TP compared to individual models and the SMA during the training period. However, during the testing period the BGMM was not always the best predictor; in fact, there was no clear best model during the testing period. Perhaps more importantly, the BGMM provides estimates of prediction uncertainty, which can enhance decision making and improve watershed management by providing a risk-based assessment of outcomes.
Ph. D.

Water quality management for agricultural production is a complicated and interesting problem. Hydrological and economic factors must be considered when designing strategies to reduce nutrient runoff from agricultural activities. This dissertation is composed of three chapters that investigate cost-effective ways to mitigate water pollution from agricultural nonpoint pollution sources and explore farmers' incentives when participating in water quality trading programs. Chapter 1 investigates landscape targeting of best management practices (BMPs) based on topographic index (TI) to determine how targeting would affect costs of meeting nitrogen (N) loading goals for Mahantango watershed, Pennsylvania. We use the results from two climate models and the mean of the ensemble of seven climate models to estimate expected climate changes and the Soil and Water Assessment Tool-Variable Source Area (SWAT-VSA) model to predict crop yields and N export. Costs of targeting and uniform placement of BMPs across the entire study area (4.23 km2) are compared under historical and future climate scenarios. We find that with a goal of reducing N loadings by 25%, spatial targeting methods could reduce costs by an average of 30% compared with uniform BMP placement under three historical climate scenarios. Cost savings from targeting are 38% under three future climate scenarios. Chapter 2 scales up the study area to the Susquehanna watershed (71,000 km2). We examine the effects of targeting the required reductions in N runoff within counties, across counties, and both within and across counties for the Susquehanna watershed. We set the required N reduction to 35%. Using the uniform strategy to meet the required N reduction as the baseline, results show that costs of achieving a regional 35% N reduction goal can be reduced by 13%, 31% and 36% with cross-county targeting, within-county targeting and within and across county targeting, respectively. Results from Chapters 1 and 2 suggest that cost effectiveness of government subsidy programs for water quality improvement in agriculture can be increased by targeting them to areas with lower N abatement costs. In addition, targeting benefits are likely to be even larger under climate change. Chapter 3 investigates the landowner's nutrient credit trading behavior when facing the price uncertainty given the credits are allowed to be banked for future use. A two-step decision model is used in this study. For the first step, we determine the landowner's application level of a BMP on working land in the initial time period. The nutrient credits awarded to the landowner depend on the nutrient reduction level at the edge of field generated by the BMP application. For the second step, we use an intertemporal model to examine the landowner's credit trading behavior with stochastic price fluctuations over time and with transaction costs. The theoretical framework is applied with a numerical simulation incorporated with a hydro-economic model and dynamic programming. Nutrient Management (NM) is selected as the BMP on working land to generate N credits. We find that gains to the landowner from credit banking increase with higher price volatility and with higher price drift, but that gains are larger with price volatility. However, for a landowner holding a small amount of nutrient credits, the gains from credit banking are small due to transaction costs.
Doctor of Philosophy
Two considerations are critical for efforts to mitigate nutrient runoff from nonpoint sources: cost effectiveness of strategies to reduce nutrient runoff and landowners' incentives to participate in these programs. This dissertation is composed of three manuscripts, aiming to evaluate the cost effectiveness of government subsidy programs for water quality management in agriculture and investigate the landowner's incentives to participate in water quality trading programs for the Chesapeake Bay watershed. Chapter 1 investigates gains from targeting Best Management Practices (BMPs) under current and future climate conditions based on the soil characteristics relative to uniform BMP application for a small experimental watershed (4.23km2). Chapter 2 scales up the study area to a 71,000 km2 watershed and treats each county within the watershed as a representative farm to explore economic gains from targeting within county and across county based on counties' physical conditions and agricultural patterns. Both Chapters show that cost-effectiveness of government subsidy programs can be improved by spatial targeting BMPs to areas with lower abatement costs. Gains from targeting increase under climate change. In Chapter 3 we shows how a landowner's revenues from nutrient credit selling will be affected if the credits are allowed to be banked for future use when she faces price uncertainty. We find that gains to the landowner from credit banking increase more with higher price volatility than with higher price drift. Gains from banking are largely reduced by transaction costs associated with trading.

This diploma thesis deals with the measurement of the anti-roll bar characteristics. The target of this thesis is to design a device for measuring of torsional stiffness of the automobile stabilizer bars, design a measuring sequence for detection values subsequently used to calculate the stiffness, and calculate the total measuring error. The measuring device is designed for the needs of the Institute of Automotive Engineering of FME BUT.

Applications of the Soil and Water Assessment Tool (SWAT) are common. However, few attempts have focused on the tropics like in the Yen Bai province, Vietnam. Annual water-induced soil erosion (WSE) rates and surface runoff (SR) were estimated. The Nam Kim and Ngoi Hut watersheds were calibrated with accepted agreement between simulated and observed discharge. Correlations between precipitation, land covers, surface runoff and WSE were indicated. Although the estimated average WSE 4.1 t ha−1 year−1 (t ha−1 y−1) was moderate, some steep-bare areas were suffering serious soil loss of 26 t ha−1 y−1 and 15% of the province was calculated at the rate of 8.5 t ha−1 y−1. We found that the changes in WSE significantly correlated with land use changes. As calibrated SR matched closely with the measured data, we recommend SWAT applications for long-term soil erosion assessments in the tropics
Những ứng dụng của mô hình công cụ đánh giá đất và nước (SWAT) đã được sử dụng phổ biến. Tuy nhiên có rất ít nghiên cứu tập trung vào khu vực nhiệt đới như tỉnh Yên Bái của Việt Nam. Trong nghiên cứu này, giá trị trung bình năm (2001-2012) nước chảy bề mặt (NCM) và xói mòn đất do nước (XM) đã được đánh giá trên cơ sở mô hình SWAT. Các thông số thủy văn của hai lưu vực sông là Nậm Kim và Ngòi Hút được tính toán và kiểm nghiệm với sự trùng hợp tương đối tốt giữa kết quả mô hình và số liệu thực đo. Mối liên hệ giữa lượng mưa, phủ bề mặt, NCM và XM cũng được phân tích và trình bầy chi tiết. Mặc dù giá trị XM năm được ước lượng ở mức trung bình cho toàn Tỉnh (4,1 tấn/ha/năm) nhưng ở một số khu vực nơi có độ dốc lớn và phủ mặt ít lại có lượng XM năm ở mức cao, 26 tấn/ha/năm và 15% tổng diện tích của Tỉnh có giá trị XM là 8,5 tấn/ha/năn. Kết quả nghiên cứu cho thấy sự liên hệ mật thiết giữa sự thay đổi phủ mặt tới giá trị XM. Trên cơ sở kết quả kiểm nghiệm mô hình khả quan, chúng tôi đề xuất sử dụng mô hình SWAT để đánh giá XM trong thời gian dài cho vùng nhiệt đới

Acoustic current meter data collected in the shallow ( 3m depth) Trinity Bay, (TB a sub-bay in Galveston Bay), TX, estuary were used to characterize locally generated windwaves. Significant wave heights, periods, and directions were estimated from dynamic pressure time-series (P; near bottom) and horizontal current velocities (U, V). Surface wave spectra were calculated from the pressure time-series and fitted to the empirical shallowwater Texel, Marsen, and Arsloe wave spectrum. The mean shape parameters used to define the TB wave spectra were:alpha = 0:016, gamma = 4:26, sigma-a = 0:063, sigma-b = 0:089. Waves heights were also hindcast using empirical and numerical models. The empirical formulas were derived from fetch-limited shallow water observations and follow the current proposed asymptotic limit to wave growth in shallow depth. The depth range for this empirical formulation is extended from 0.5–2m out to 3.5m. The model does not work for wind speeds less than 1m/s and during rapid wind direction changes. The Shallow WAves Nearshore numerical model was implemented in a Galveston Bay (GB; encompassing TB) computational domain. The model was forced with wind speeds and directions measured on-site and in four surrounding locations maintained by the NOAA PORTS. Currents measured on-site in TB and calculated bottom frictions were input homogeneously in space. The model was run in steady and unsteady conditions, and the modeled wave spectra were compared to the observations. The modeled wave spectra do not recreate the observed spectral shape for the steady and unsteady conditions. However, the total wave energy is represented in the unsteady conditions. In both the steady and unsteady cases, the wave period is underpredicted by one-half times the observed spectra and the model direction agrees with the observed wave directions.

Text in English with abstracts in English, Northern Sotho, Tshivenda and Xitsonga
The purpose of this study was to determine the self-reported competence of newly qualified professional nurses on the critical midwifery skills. The study was conducted in the four public hospitals designated for community service in Gauteng Province. A quantitative descriptive design was used with a structured self-report questionnaire as data collection instrument. Non-probability convenience sampling was used for the study. The sample size was eighty-four newly qualified professional nurses. The Stata 15 software was used for statistical analyses. The researcher used descriptive statistics to describe and synthesize the collected data. The findings revealed that most newly qualified professional nurses had no knowledge in identifying different types of decelerations, management of late and variable decelerations, but had knowledge in most of the skills related to management of third stage of labour.
Maikemišetšo a dinyakišišo tše e be e le go hwetša bokgoni bja go ipega ka nnoši bja baoki bao ba ithutetšego profešene ya booki ka go bokgoni bjo bohlokwa bja pelegišo. Dinyakišišo di dirilwe dipetleleng tše nne tša bohle tšeo di kgethetšwego tirelo ya setšhaba ka Profenseng ya Gauteng. Khwanthitheitif diskriptif disaene ‘Quantitative descriptive design’ e dirišitšwe gammogo le lenaneopotšišo leo le beakantšwego la go ipega ka nnoši ‘structured self-report questionnaire’ bjalo ka sedirišwa sa go kgoboketša bohlatsi. “Non-probability convenience sampling” e dirišitšwe mo go kgetheng banyakišišwa. Bogolo bja sešupo e be e le baoki ba masomeseswai-nne ba baswa bao ba ithutetšego profešene ya booki. “Stata 15 software” e dirišitšwe tshekatshekong ya dipalopalo. Monyakišiši o dirišitše dipalopalo tša tlhalošo ‘descriptive statistics’ go hlaloša le go kopanya ‘data’ yeo e kgobokeditšwego. Ditšweletšo di utollotše gore bontši ba baoki ba baswa bao ba ithutetšego profešene ya booki ga ba na le tsebo ya go hlatha mehuta yeo e fapanego ya diphokotšo, taolo ya diphokotšo tša morago le tša go fetoga, efela ba na le tsebo ka go bokgoni bjo bontši bjoo bo amanago le taolo ya kgato ya boraro ya lešoko.
Ndivho ya ngudo iyi yo vha u wanulusa nḓivho ya vhukoni ha iwe muṋe ya vhaongi vhaswa vha kha ḓi bvaho u phasa vhuongi uri vha na zwikili zwa ndeme zwa vhuongi vhubebisi u swika ngafhi. Ngudo iyi yo itwa kha zwibadela zwiṋa zwa muvhuso zwo ṋewaho u isa tshumelo zwitshavhani kha vunḓu ḽa Gauteng. Kha u kuvhanganya mafhungo muṱoḓisi o shumisa ngona ya u ṱalutshedza ya khwanthithethivi ho ṱanganyiswa na mbudziso dzo dzudzanyiwaho dzi bviselaho khagala kha iwe muṋe (structured self-report questionnaire). Vhunanguludzi ho shumiswaho kha ngudo iyi ho vha “Non-probability convenience”. Tshivhalo tsha vhashelamulenzhe vho nanguludzwaho tsho vha vhaongi vhaswa vha kha ḓibvaho u phasa vha fumalo ina. “The Stata 15 software” ndi tshishumiswa tsho shumiswaho kha u sengulusa mafhungo o kuvhanganywaho. Muṱoḓisisi o shumisa zwisiṱatisitika zwa u ṱalutshedza kha u ṱalutshedza na u dzudzanya mafhungo o kuvhanganyiwaho. Ngudo iyi yo bvisela khagala uri vhunzhi ha vhaongi vhaswa vha kha ḓi bvaho u phasa a vha na nḓivho ya u vhona tshaka dzo fhambanaho dza kurwele kwa mbilu ya ṅwana na u langa u lenga ha u rwa ha mbilu ya ṅwana zwo katela na u sa dzudzanyea fhethu huthihi ha kurwele kwa mbilu ya ṅwana, honeha vha na nḓivho ya zwikili zwi yelanaho na vhulanguli ha tshipiḓa tsha vhuraru tsha u beba.
Xikongomelo xa ndzavisiso lowu i ku kuma vuswikoti lebyi munhu a byi twisisaka hi vaongori lava ha ku thwaselaka tidyondzo ta vuongori eka swikili swa nkoka hi vusungukati. Ndzavisiso lowu wu endliwile eka swibedlhele swa mune swa mani na mani leswi yisaka vukorhokeri evanhwini eka Phurovhinsi ya Gauteng, laha ku tirhisiweke maendlelo ya tinhlayo lama hambanaka na swivutiso ku hlengeleta timhaka. Ku tirhisiwile xiphemu xo karhi xa vanhu ku kuma vuxokoxoko hi mayelano na vona hinkwavo. Xiphemu lexi tirhisiweke i xa nhlayo ya vaongori vo ringana makumenhungu-mune wa vaongori lawa ha ku thwaselaka tidyondzo ta vuongori. Ku tirhisiwile “stata software” ku hlela tinhlayo leti tirhisiweke. Mulavisisi u tirhisile tinhlayo, tinhlayonhlamuselo ku hlamusela no katsakanya mahungu lama a ma hlengeleteke. Leswi kumiweke swi paluxa leswaku vunyingi bya vaongori lava ha ku thwaselaka tidyondzo ta vuongori va hava vutivi byo hambanisa mabelo ya mbilu, ku hlawula ku hlwela no hambana ka mabelo ya mbilu, kambe va na vutivi eka swikili mayelana no lawula xiyimo xa vunharhu xo lumiwa.
Health Studies
M.A. (Nursing)

Abstract in English, Xhosa and Southern Sotho
This study was about the lack of uniform financial reporting guidelines to be used by South African School Governing Bodies (SGBs) in preparing their financial statements and financial records, which resulted in the inconsistencies and the lack of comparability in the financial statements of section 21 schools. The researcher aimed to develop recommended practice guidelines to be used by SGBs of public schools in South Africa when preparing their financial statements. The research was conducted through a qualitative approach using document analysis, supplemented by individual interviews. Provincial guidelines and selected schools’ financial statements were analysed. Schools’ principals, finance officers, auditors, School Governing Body treasurers, as well as districts officials were interviewed. The participants were selected using a purposive sampling method. Without generalising, the findings revealed that the existing provincial guidelines as well as the financial statements of the selected schools, are not consistent. The inconsistencies affect the comparability of the financial information negatively and that may also have negative impact on the reliability of financial information. The findings from the interviews, supported by the literature review, revealed that there is a need for uniform guidelines in terms of preparation of schools’ financial statements. The findings also revealed that the majority of SGBs opt for the examination of accounting records and financial statements instead of the audit thereof. Recommended practice guidelines were developed using information acquired through the literature review and the data acquired through document analysis and interviews. The study recommended amongst others that a further study be conducted on the effectiveness of financial management training in addressing the financial reporting challenges of South African public schools and whether the examination (instead of audit) of schools’ financial records and financial statements should still be acceptable.
Thutopatlisiso eno e batlisisitse go tlhokagala ga kaedi e e tshwanang ya dipegelo tsa ditšhelete e e ka dirisiwang ke Makgotlataolo a Dikolo tsa Aforikaborwa (diSGB) fa a baakanya dikanego tsa ona tsa ditšhelete mmogo le direkoto tsa ditšhelete, e leng se se bakileng gore go se nne le go tsamaelana le tlhaelo mo ntlheng ya tshwantshanyego ya dikanego tsa ditšhelete tsa dikolo tsa Karolo 21. Maikaelelo a mmatlisisi e ne e le go tlhama kaedi e e tlaa atlenegisiwang ya tiriso e e tlaa dirisiwang ke diSGB tsa dikolo tsa setšhaba mo Aforikaborwa fa di baakanya dikanego tsa tsona tsa ditšhelete. Thutopatlisiso e dirilwe ka mokgwatebo o o lebelelang mabaka go dirisiwa tshekatsheko ya dikwalo, e tshegediwa ke dipotsolotso tsa batho bongwe ka bongwe. Go sekasekilwe kaedi ya porofense le dikanego tsa ditšhelete tsa dikolo tse di tlhophilweng. Go botsoloditswe bagokgo ba dikolo, batlhankedi ba ditšhelete, baruni, batshwaratlotlo ba Makgotlataolo a Dikolo, gammogo le batlhankedi ba dikgaolo. Bannileseabe ba tlhophilwe ka go dirisa mokgwa wa go tlhopha sampole ka maikaelelo. Kwa ntle ga go akaretsa, diphitlhelelo di bontshitse gore kaedi ya ga jaana ya porofense gammogo le dikanego tsa ditšhelete tsa dikolo tse di tlhophilweng, ga di tsamaelane. Go tlhoka go tsamaelana go ama go tshwantshanyega ga tshedimosetso ya ditšhelete ka tsela e e bosula mme seo se ka ama go ikanyega ga tshedimosetso ya ditšhelete. Diphitlhelelo go tswa mo dipotsolotsong, di tshegediwa ke tshekatsheko ya dikwalo, di senotse gore go na le tlhokego ya gore go nne le kaedi e e tshwanang malebana le go baakanngwa ga dikanego tsa ditšhelete tsa dikolo. Gape bontsi jwa diSGB bo itlhophela gore go tlhatlhobiwe direkoto tsa palotlotlo le dikanego tsa ditšhelete go na le gore di runiwe. Go tlhamilwe kaedi ya tiro e e atlenegisiwang go dirisiwa tshedimosetso e e bonweng ka tshekatsheko ya dikwalo le data e e bonweng mo tshekatshekong ya dikwalo le dipotsolotso. Thutopatlisiso e atlenegisitse, gareng ga tse dingwe, gore go nne le thutopatlisiso e nngwe ya nonofo ya katiso ya botsamaisi jwa ditšhelete malebana le go samagana le dikgwetlho tsa dipegelo tsa ditšhelete mo dikolong tsa setšhaba tsa Aforikaborwa gammogo le go bona gore a tlhatlhobo (go na le boruni) ya direkoto tsa ditšhelete le dikanego tsa ditšhelete tsa sekolo e sa ntse e tshwanetse go amogelesega
Ndzavisiso lowu wu lavisise hi makombandlela ya ndlela yo fanana yo endla xiviko xa swa timali leswi swi faneleke ku tirhisiwa hi va Tihuvo ta Vufambisi bya Swikolo eAfrika Dzonga ku nga South African School Governing Bodies (SGBs) ku lulamisela switatimende swa timali na tirhekhodo ta timali, leswi nga vangela leswaku ku va na mafambiselo yo ka ya nga fanani na ku va swilo swi nga pimanyiseki kahle eka switatimende swa timali eka swikolo swa Xiyenge 21. Muendli wa ndzavisiso u ve na xikongomelo xa ku endla xibumabumelo hi maendlelo na makombandlela lama ya faneleke ku tirhisiwa hi ti-SGB ta swikolo swa mfumo eAfrika Dzonga, loko swi lulamisa switatimende swa timali. Ndzavisiso wu endliwe hi ku landza fambiselo ra qualitative hi ku xopaxopa tidokumente, ku tlhela ku endliwa na mimburisano ya ti-interview na vanhu hi wun'we-wun'we. Makombandlela ya xifundzhankulu na switatimende swa timali swa swikolo swi xopaxopiwile. Ku endliwe mimburisano ya ti-interview na tinhloko ta swikolo (vaprinsipala), vaofisara va swa timali, vakamberi va swa timali (ti-odithara), vatameri va minkwama ya Tihuvo ta Vufambisi bya Swikolo (School Governing Body treasurers) xikan'we na vaofisara va tidistriki na vona ku endliwe mimburisano ya ti-interview na vona. Vokhoma-xiave va hlawuriwe hi ku tirhisa fambiselo ra sampuli ya xikongomelo ku nga purposive sampling method. Handle ko navisa vuyelo eka hinkwavo, vuyelo byi kume leswo makombandlela ya xifundzhankulu na switatimende swa timali eka swikolo swo karhi, a swi fanani. Ku hambana swi endla leswo ku nga vi na ku fambelana na ku pimanyiseka ka vutivi bya swa timali, na swona swi na vuyelo byo ka byi nga ri kahle na ku tshembeka eka vutivi bya swa timali. Vuyelo eka mimburisano ya ti-interview, hi ku seketeriwa hi ku hlayiwa ka matsalwa, swi kombise leswo ku na xilaveko xa makombandlela ya ku fanana hi ku landza ku lulamisiwa ka switatimende swa ta timali lomu swikoleni. Vunyingi bya ti-SGB byi endla na nkambelo kunene wa tirhekhodi ta timali na switatimende swa timali ku tlula ku lava leswo ku endliwa nxopanxopo lowu fambisanaka na ku xopaxopa vumbhoni bya swa matirhiselo ya timali ku nga auditing ya tibuku ta timali. Makombandlela lama ya bumabumeriwaka ya endliwe hi ku tirhisa vutivi lebyi nga kumeka eka ku hlayiwa ka matsalwa na data leyi nga kumeka hi ku xopaxopa tidokumente na mimburisano ya ti-interview. Ndzavisiso wu bumabumela, exikarhi ka swin'wana leswo ku endliwa ndzavisiso wun'wana hi ku tirheka ka vuleteri bya mafambiselo ya swa timali eka ku langutana na mintlhontlho leyi nga kona hi ku vika hi swa timali eswikolweni swa mfumo eAfrika Dzonga, no kumisisa leswo xana nkambelo kunene (ku nga ri nxopanxopo lowu xopaxopaku na vumbhoni ku nga auditing) ya tirhekhodo ta timali na switatimende swa timali swa ha fanela ku amukeriwa xana
College of Accounting Sciences
D. Phil. (Accounting Sciences)

The promotion of Afrocentric education is a current issue in Africa. This study aimed to establish the role of indigenous knowledge (IK) in the development of Senior Phase learners' design skills in Technology Education (TE). The study was guided by the constructivist theory, which is based on the assumption that prior learning can play a role in learning. When learning new things in a TE class, learners can benefit from their daily experiences in deriving meaning. Three schools from the Vhembe district in Limpopo Province participated in this study. The purposive sampling technique was used to select Technology teachers, heads of departments, TE specialists, learners and parents from these schools to participate in the study. Data were collected by way of individual and focus group interviews, participant observations and the analysis of documents and artifacts. The findings revealed that IK can increase learners' understanding and acquisition of design skills. However, this study revealed that the integration of IK can be hampered by factors such as the teachers' inability to use indigenous artifacts, the use of unvaried assessment methods, and a negative attitude towards culturally relevant pedagogy and IK. This study ultimately contributed an indigenous knowledge-based design process (IKBDP). Unlike the current conventional approach, an IKBDP has the potential to transform the teaching of Technology, thereby giving recognition to IK and accommodating learners from indigenous backgrounds.
Ku yisa emahlweni dyondzo yo vona swilo hi tihlo ra Xiafrika, i mhaka leyi nga le mahlweni eAfrika. Ndzavisiso lowu wu na xikongomelo xa ku vona ndzima ya vutivi bya ndhavuko ku nga indigenoous knowledge (IK) eka nhluvuko wa vadyondzi va xiyimo xa le henhla hi swikili swa dizayini ya dyondzo ya theknoloji ku nga Technology Education (TE). Ndzavisiso wu leteriwe hi constructivist theory, leyi yi seketeriweke hi mianakanyo kumbe vonelo ra leswo dyondzo leyi vanhu va taka na yona ya khale (prior learning) yi nga tlanga ndzima eku dyondzeni. Loko ku dyondziwa leswintshwa eka klasi ya TE, vadyondzi va nga vuyeriwa hi ku landza ntokoto wa vona wa masiku eku kumeni tinhlamuselo. Swikolo swinharhu eka distriki ya Vhembe eka Xifundzhankulu xa Limpopo swi ve na xiavo eka ndzavisiso lowu. Xikongomelo xa thekniki ya ku endla sampuli xi tirhisiwe ku langa mathicara ya Technology, tinhloko ta tindzhawulo, vatokoti va TE, vadyondzi na vatswari eka swikolo leswi va ve na xiavo eka ndzavisiso. Ku hlengeletiwe data eka munhu hi wun'we wun'we na le ka mintlawa ya xikongomelo lexi hi ku endla mimburisano ya ti-interview, ku xiyaxiya leswi swi endliwaka hi vateki va xiavo na nxopanxopo wa tidokumente na swilo leswi swi endliweke hi mavoko (artifacts). Vuyelo bya ndzavisiso byi kombe leswo IK yi nga pfuneta ku twisisa ka vadyondzi na ku kuma swikili swa dizayini. Kambe, ndzavisiso lowu wu kombise leswo ku katsiwa ka IK swi nga kavanyetiwa hi swilo swo fana na ku tsandzeka ka mathicara ku tirhisa swiendliwa swa mavoko swa ndhavuko, ku tirhisiwa ka tindlela to ka ti nga cinciwi ta nkambelo, na mianakanyo leyi nga ri ku leyinene mayelana na ndlela ya madyondziselo na IK. Ndzavisiso lowu ekuheteleleni wu pfunete fambiselo ra leswi vuriwaka indigenous knowledge-based design process (IKBDP). Hi ku hambana na fambiselo ra ntolovelo, IKBDP yi na ntamo wo cinca madyondziselo ya TE, no pfuneta ku amukela IK no angarhela vadyondzi lava va humaku eka fambiselo ra vutivi bya ndhavuko.
Tsweletso ya thuto ya Seaforika ke ntlha e e tsweletseng ga jaana mo Aforika. Maikaelelo a thutopatlisiso e ne e le go lebelela seabe sa kitso ya tshimologo (IK) mo tlhabololong ya bokgoni jwa thadiso jwa barutwana ba Legato le Legolwane mo Thutong ya Thekenoloji (TE). Thutopatlisiso e kaetswe ke tiori e e elang tlhoko ka moo batho ba ikagelang bokao ka gona (constructivist theory), e e ikaegileng ka mogopolo wa gore thuto e e ntseng e le gona e ka nna le seabe mo go ithuteng. Fa barutwana ba ithuta dilo tse dintšhwa mo phaposiborutelong ya TE, ba ka ungwelwa go tswa mo maitemogelong a bona go bona bokao. Dikolo di le tharo go tswa kwa kgaolong ya Vhembe kwa Porofenseng ya Limpopo di nnile le seabe mo thutopatlisisong eno. Go dirisitswe thekeniki ya go tlhopha sampole go ya ka maitlhomo a thutopatlisiso go tlhopha barutabana ba Thekenoloji, ditlhogo tsa mafapha, baitseanape ba TE, barutwana le batsadi go tswa kwa dikolong tseno go nna le seabe mo thutopatlisisong. Data e kokoantswe ka tsela ya go dirisa dipotsolotso tsa batho bongwe ka bongwe le ditlhopha tse di tlhophilweng, go ela bannileseabe tlhoko le tshekatsheko ya dikwalo le dilwana tsa tiro ya diatla. Diphitlhelelo di senotse gore IK e ka oketsa go tlhaloganya ga barutwana le go iponela bokgoni jwa go thadisa. Le fa go le jalo, thutopatlisiso eno e senotse gore go akarediwa ga IK go ka sitisiwa ke dintlha di tshwana le fa barutabana ba sa kgone go dirisa dilwana tsa tiro ya diatla tsa tshimologo, tiriso ya mekgwa ya tlhatlhobo e e sa farologanang, le megopolo e e sa siamang e e lebisiwang kwa katisong e e maleba mo setsong le IK. Kwa bokhutlong, thutopatlisiso eno e tshwaetse ka thulaganyo ya thadiso e e ikaegileng ka kitso ya tshimologo (IKBDP). Go farologana le mokgwa wa tlwaelo, IKBDP e na le kgonagalo ya go ka fetola go rutwa ga TE, mme ka go rialo e lemoga IK le go akaretsa barutwana ba ba nang le lemorago la tsa tshimologo.
Curriculum and Instructional Studies
D. Ed. (Curriculum Studies)

Abstract in English, Tsonga and Zulu
Mitlumbo ya mifambafambo ya le magondzweni i xin’wana xa miringeto (risks) yo biha ku tlula hinkwayo ya swifambo swa le gondzweni emisaveni hinkwayo, leswi yimelaka xiphiqo lexikulu xa swohanyaswin’we-ikhonomi ngopfu-ngopfu eka matiko lama ya ha hluvukaka tanihi Afrika-Dzonga. Ku va ku nyikiwa masungulo yo tiya ya xiikhonomi eka swiboho swa mbekiso ku tirhana na ntlhontlho lowu, i swa nkoka swinene ku hlela ndhurho wa mitlumbo leyi. Mipimanyeto leyi yi tirha tanihi nxopaxopo wa swinghenisiwa swa mbuyelo wa ndhurheriwo ku endlela ku kuma mphakelo wa switirhisiwa wo tirha kahle eka ku nghenelela eka ku tirhana na mitlhontlho leyi vangiwaka hi mitlumbano ya le magondzweni. Tiko ra Afrika-Dzonga a ri nga ri ku pfuxeteni ka mahungu ya mipimanyeto ya midurho ya mitlumbano ya le magondzweni nkarhi na nkarhi, naswona leyi a yi endliwa a yi tirhisa maendlelo lamo soriwa ngopfu yo languta nkoka wa vanhu (human capital). Hikwalaho, mipimanyeto leyi nga kona a yi nga ta va leyi tshembekaka eka ku kunguhata na ku pimaniseka na mipimanyeto ya matiko man’wana. Hi le ka ku landzelela vundzhaku lebyi laha dyondzo leyi yi nga tumbuluka na ku kombisa matirhiselo ya rimba ra ntirho wo katsa (hybrid) ku kambela ndhurho wa mitlumbo ya swifambo swa le magondzweni eAfrika-Dzonga. Rimba leri ri tirhisa endlelo ro kongomisa eka nkoka wa vanhu na ku pfumela ku hakela (willingness-to-pay), eka dyondzo yi ri yin’we. Mipimanyeto ya midurho ya nkoka wa vanhu ya laveka ku va yi pfuna eka ku kunguhata leswaku yi tlakusa swinenenene swihumesiwa swa rixaka, loko hala tlhelo mipimanyeto yo pfumela ku hakela yona yi ri yona yi fanelaka swinene eka ku pfuneta minghenelelo yo tlakusa nhlayiseko wa vanhu hi ku hunguta ku vaviseka na ku fa. Endlelo ro pfumela ku hakela ri tirhisa maendlelo ya swo ka swi nga ri swa makete (contingent valuation) na ya maendlelo yo langa (preference). Khwexinere yo valanga leyi a yi ri na maendlelo yo ka ya nga ri ya swa makete na swilangiwa leswi a swi boxiwile, yi tirhisiwile hi magoza mambirhi ku sampula vaanguri va 273 eka ntirho wa swo tleketla. Eka mhaka ya endlelo ro kongomisa eka nkoka wa vanhu, mipimanyeto ya ndhurho eka xiviko xa 2016 xa Cost of Crashes in South Africa yi hundzuluxiwile hi ku katsa inifulexini, ku tirhisiwa mpimo wa 2017 wa 5.3% ku kuma mipimanyeto ya ndhurho ya 2017. Dyondzo leyi yi paluxile leswaku endlelo ro kongomisa eka nkoka wa vanhu ri kayiveta ku vona ndhurho wa mitlumbo ya le magondzweni. Dyondzo leyi yi hoxa xandla eka ntsengo wa vutivi hi ku tirhisa endlelo ro languta nkoka wa vanhu na endlelo ro pfumela ku hakela eka dyondzo yi ri yin’we ku kombisa ntirhiseko wa endlelo leri ra nkatso (hybrid)/nhlanganiso eka xiyimo xa Afrika-Dzonga. Ndzavisiso wa nkarhi lowu taka wu fanele ku engeta dyondzo leyi hi sampulu leyi humaka eka swifundzakulu hinkwaswo swa nkaye swa Afrika-Dzonga, leswaku mipimanyeto ya ndhurho yi yimela vanhu va tiko hinkwaro.
Road traffic crashes are one of the worst risks of road mobility worldwide, representing a huge socio-economic problem particularly in developing countries such as South Africa. In order to provide a sound economic basis for investment decisions to address this challenge, it is critical to assess the cost of these crashes. These estimates serve cost-benefit analysis inputs to facilitate a more efficient resources allocation for interventions to address the challenge posed by road crashes. South Africa has not been updating crash cost estimates on a regular basis, and those that were conducted used the much criticised human capital approach. Therefore, the available estimates could not be relied upon for planning purposes and comparison with the estimates of other countries. It is against this background that this study developed and illustrated the application of a hybrid framework for assessing the cost of road traffic crashes in South Africa. The framework uses the human capital approach and the willingness-to-pay approach in one study. Human capital approach cost estimates are needed to inform planning to maximize the national output, while the willingness-to-pay estimates are more suitable when the main concern is to inform interventions to increase social welfare by reducing injuries and fatalities. The willingness-to-pay approach uses the contingent valuation and the stated preference methods. A survey questionnaire with contingent valuation and stated preference questions was administered in two phases to a sample of 273 respondents within the transport industry. For the human capital approach, the cost estimates in the 2016 Cost of Crashes in South Africa report were adjusted for inflation using the 2017 rate of 5.3% to obtain 2017 cost estimates. This study revealed that the human capital approach underestimates the cost of road crashes. The study contributes to the body of knowledge by using the human capital approach and the willingness-to-pay approach in one study to illustrate the applicability of this hybrid/ combination within the South African context. Future research needs to replicate this study on a sample drawn from all nine provinces of South Africa, so that the cost estimates are representative of the country’s population.
Ukuphazamiseka komgwaqo kungenye yezingozi ezimbi kakhulu zokuhamba komgwaqo emhlabeni jikelele, ezimele inkinga enkulu yenhlalo nezomnotho ikakhulukazi emazweni asathuthuka njengeNingizimu Afrika. Ukuze unikeze isisekelo sezomnotho esizwakalayo ezinqumeni zokutshala izimali ukubhekana nale nselele, kubalulekile ukuhlola izindleko zalezi zingozi. Lezi zilinganiso zisebenza njengeziphakamiso zokuhlaziywa kwezindleko zokuhlomula ukuze kube lula ukunikezwa kwezinsiza ezenzelwe ukuxazulula inselele ebangelwa ukuphazamiseka komgwaqo. INingizimu Afrika ayizange ibuyekeze ukulinganisa izindleko zezingozi njalo, futhi lezo ezenziwa zisebenzise indlela enkulu yokugxeka ukusebenzisa abantu. Ngakho-ke, izilinganiso ezitholakalayo azikwazanga ukuthenjelwa kuzona ngezinjongo zokuhlela nokuqhathaniswa nezilinganiso zamanye amazwe. Lokhu kuphikisana nalesi sigaba ukuthi lolu cwaningo lusungulwe futhi luboniswe ukusetshenziswa kohlaka oluxubile lokuhlola izindleko zokuphazamiseka komgwaqo eNingizimu Afrika. Uhlaka lusebenzisa indlela yokusebenzisa abantu kanye nendlela yokuzimisela-ukukhokha ocwaningweni olulodwa. Ukulinganiselwa kwezindleko zokusebenzisa abantu kuyadingeka ukuze kwaziswe ukuhlela ukwandisa umkhiqizo kazwelonke, kanti ukulinganiselwa kokuzimisela-ukukhokhela kukulungele kakhulu ukwazisa ukungenelela ukwandisa inhlalakahle yomphakathi ngokunciphisa ukulimala nokubulawa kwabantu. Indlela yokuzimisela-ukukhokha isebenzisa ukuhlaziywa kwesilinganiso kanye nezindlela okukhethwa ngazo. Imibuzo yokuhlola ngokuhlaziywa kwesilinganiso kanye nemibuzo ekhethwe ngayo yenziwa ngezigaba ezimbili embonakalisweni yabaphendulile abangama-273 embonini yezokuthutha. Ngokwendlela yokusebenzisa abantu, izindleko ezilinganiselwa ku-2016 Izindleko Zokushayisana eNingizimu Afrika kubikwa ukuthi zalungiselwa ukwenyuka kwamandla emali, kusetshenziswa isilinganiso sango-2017 esingu-5.3% ukuthola izindleko zango-2017. Lolu cwaningo luveze ukuthi indlela yokusebenzisa abantu ithatha kancane izindleko zokuphazamiseka komgwaqo. Ucwaningo lunomthelela emzimbeni wolwazi ngokusebenzisa indlela yokusebenzisa abantu kanye nendlela yokuzimisela-ukukhokha ocwaningweni olulodwa ukukhombisa ukufaneleka kwalesi sivumelwano / inhlanganisela ngaphakathi komongo waseNingizimu Afrika. Ucwaningo lwesikhathi esizayo ludinga ukuphindaphinda lolu cwaningo embonakalisweni othathwe kuzo zonke izifundazwe eziyisishiyagalolunye zaseNingizimu Afrika, ukuze ukulinganiswa kwezindleko kummele abantu bezwe
Business Management
D. Phil. (Management Studies)