Text in English with summaries and keywords in English, Venda and Sepedi / Fuelwood remains a crucial source of energy among the vast majority of rural households because of its availability and affordability in comparison with most energy alternatives. Approximately 17 million people in South Africa live in communal lands where fuelwood can be harvested easily and freely by households, with 80% of the overall fuel consumed for domestic purposes extracted from burning fuelwood. The rapid-excess trends of fuelwood consumption – aggravated by population growth, agricultural and household settlement expansions – pose utmost challenges for community development. Overharvesting of fuelwood can result in fuelwood scarcity, loss of biodiversity, excessive land clearance and soil erosion. This study evaluated the factors that influence fuelwood consumption in households at the Thulamela Local Municipality. The study utilised mixed research methods, comprising quantitative and qualitative methods. A semi-structured questionnaire consisting of both closed and open-ended questions was used to collect data from the households. The collected data was mainly qualitative data (nominal and categorical data) and the researcher used the frequency menu to summarise the data and cross tabulation menu in the Statistical Package for Social Scientists (SPSS) version 25. For cross tabulation, the researcher used the Chi-square (χ2) test to measure the degree of association between two categorical variables. If the p-value is less than 0.05, there is a significant association between variables – thus, the variables dependent on each other. The study found that socio-economic characteristics such as monthly income, employment status, gender, educational level of the household head, number of employed household members, energy expenditure and type of occupation play a significant role in the factors that influence fuelwood consumption. As a result of these factors, fuelwood energy is still being used as a primary energy source by most households to meet their domestic needs for cooking and water heating – despite most of them being electrified. Additionally, lack of environmental education, the erratic electricity supply and staggering living conditions which drive widespread poverty in rural areas contribute to the extensive fuelwood consumption among households. The study highlighted the recommendations on mitigation measures that can be used to reduce extensive fuelwood consumption. These recommendations include encouraging the use of renewable energy and modern energy technologies such as biogas and solar energy, together with improved cooking stoves to help reduce overexploitation of natural resources and prevent indoor air pollution which is associated with heart disease and immortality. There is also a need to raise environmental awareness. It is through education that people’s perceptions, attitudes and behaviour regarding fuelwood consumption practices can be changed. The promotion of sustainable development through harvest control and afforestation can significantly reduce deforestation, loss of biodiversity, fuelwood scarcity and soil erosion. / Khuni dzi kha ḓi shumiswa sa tshiko tshihulwane tsha mafulufulu kha miṱa minzhi ya mahayani ngauri dzi a wanala na u swikelelea musi dzi tshi vhambedzwa na dziṅwe nḓila dza mafulufulu. Vhathu vha swikaho miḽioni dza 17 Afrika Tshipembe vha dzula mahayani hune vha kona u reḓa khuni hu si na vhuleme nahone nga mahala, ngeno zwivhaswa zwi swikaho 80% zwi shumiswaho miḓini zwi tshi bva kha khuni. Maitele maṅwe a tshihaḓu a kushumiselwe kwa khuni – a tshi ṋaṋiswa na nga nyaluwo ya vhathu, u engedzea ha vhulimi na vhupo ha vhudzulo – zwi ḓisa khaedu kha mveledziso ya tshitshavha. U reḓa khuni lwo kalulaho zwi nga vhanga ṱhahelelo ya khuni, u xelelwa nga mutshatshame wa zwi tshilaho, u ṱangula mavu na mukumbululo wa mavu. Ngudo iyi yo ḓiimisela u ela zwivhumbi zwi ṱuṱuwedzaho u shumiswa ha khuni miḓini ngei kha Masipala Wapo wa Thulamela. Ngudo yo shumisa ngona dza ṱhoḓisiso dzo ṱanganaho dzi re na ngona khwanthethivi na khwaḽithethivi. Mbudzisambekanywa dzo dzudzanywaho dzi re na mbudziso dza phindulo nthihi na dza phindulo ndapfu dzo shumiswa u kuvhanganya data miḓini. Data yo kuvhanganyiwaho kanzhi ndi yo sedzaho ndeme (ya tshivhalo na khethekanyo) ngeno muṱoḓisisi o shumisa menyu wa tshivhalo tsha zwithu u nweledza data na menyu wa thebulu dzi leluwaho kha Statistical Package for Social Scientists (SPSS) vesheni ya vhu 25. U itela thebulu dzi leluwaho, muṱoḓisisi o shumisa ndingo dza Chi-square (χ2) u ela tshikalo tsha nyelelano vhukati ha zwithu zwivhili zwo fhambanaho. Arali ndeme ya p i ṱhukhu kha 0.05, hu na u elana hu hulwane vhukati ha zwithu zwi vhambedzwaho – zwithu izwi zwi dovha zwa ṱalutshedzana. Ṱhoḓisiso yo wana uri zwiṱaluli zwa ikonomi na matshilisano sa mbuelo ya ṅwedzi, tshiimo mushumoni, mbeu, ḽeveḽe ya pfunzo ya ṱhoho ya muḓi, tshivhalo tsha vhathu vha shumaho muṱani, mbadelo dza fulufulu na mushumo une muthu a u shuma zwi na mushumo muhulwane kha zwithu zwi ṱuṱuwedzaho u shumiswa ha khuni. Nga ṅwambo wa zwithu izwi, khuni dzi kha ḓi shumiswa sa tshiko tshihulwane tsha fulufulu kha miḓi minzhi u swikelela ṱhoḓea dzavho dza hayani dza u bika na u wana u dudedza – naho vhunzhi havho vhe kha muḓagasi. Nṱhani ha izwo, u sa vha na pfunzo ya vhupo, nḓisedzo ya muḓagasi ine ya dzula i tshi shanduka na maga a kutshilele a konḓaho ane a vhanga vhushai ho andaho kha vhupo ha mahayani zwi vhanga u shumiseswa ha khuni miḓini. Ngudo dzo sumbedzisa themendelo kha maga a u lulamisa ane a nga shumiswa u fhungudza u shumiseswa ha khuni. Themendelo idzi dzi katela u ṱuṱuwedza tshumiso ya mafulufulu ḽo vusuludzwaho na thekhinoḽodzhi dza fulufulu dza musalauno sa bayogese na fulufulu ḽa masana a ḓuvha, kathihi na zwiṱofu zwa u bika zwo khwiniswaho u thusa u fhungudza u tambiseswa ha zwiko zwa mupo na u thivhela tshikafhadzo ya muya nga ngomu zwine zwa vhanga vhulwadze ha mbilu na dzimpfu. Hu na ṱhoḓea ya u ita mafulo a zwa vhupo. Ndi nga kha pfunzo hune kuvhonele kwa vhathu, kusedzele kwa zwithu na vhuḓifari havho maelana na kushumiselwe kwa khuni zwa nga shandukiswa. U bveledzwa ha mveledziso i sa nyeṱhi nga kha ndango ya khaṋo na u ṱavhiwa ha miri zwi nga fhungudza vhukuma u fhela ha maḓaka, u lozwiwa ha mutshatshame wa zwi tshilaho, u konḓa ha khuni na mukumbululo wa mavu. / Dikgong tša go bešwa di tšwela pele go ba methopo o bohlokwa wa enetši gareng ga bontši bja malapa a dinagamagaeng ka lebaka la ge di hwetšagala le go se ture ga tšona ge di bapetšwa le mekgwa ye mengwe ya enetši. Tekano ye e ka bago batho ba dimilione tše 17 ka Afrika Borwa ba dula mafelong a magaeng fao dikgong di ka kgonago go rengwa gabonolo le ka tokologo ke malapa a, fao e lego gore 80% ya palomoka ya dibešwa tšeo di šomišwago ka gae di hwetšwago go dikgong. Lebelo leo ka lona dikgong di hwetšago ka lona gore di tle di bešwe – leo le mpefatšwago ke go gola ga setšhaba, temo le go oketšega ga madulo a batho – le tliša ditlhohlo tše kgolo tlhabollong ya setšhaba. Go rema dikgong go fetišiša go ka feletša ka go hlaelela ga tšona, tahlegelo ya phedišano ya diphedi tša mehutahuta, go rema mehlare ka fao go fetišišago le kgogolego ya mobu. Dinyakišišo tše di ikemišeditše go sekaseka mabaka ao a huetšago go šomišwa ga dikgong ka malapeng ka Masepaleng wa Selegae wa Thulamela. Dinyakišišo tše di šomišitše mekgwa ya dinyakišišo ye e hlakantšwego, ye e lego wa dinyakišišo tša bontši le wa dinyakišišo tša boleng. Dipotšišonyakišišo tšeo di beakantšwego ka seripa tše di nago le bobedi dipotšišo tša di nago le dikgetho le dipotšišo tšeo di nyakago gore motho a fe maikutlo a gagwe di šomišitšwe go kgoboketša tshedimošo ka malapeng. Tshedimošo ye e kgobokeditšwego e bile kudu tshedimošo ya boleng (ya dipalo le ya go hlophiwa) gomme monyakišiši o šomišitše menyu wa bokgafetšakgafetša go dira kakaretšo ya tshedimošo le go menyu wa go bea dilo ka dintlha ka Sehlopheng sa Dipalopalo sa Bašomi ba tša Mahlale a Leago (SPSS) bešene ya 25. Go bea dilo ka dintlha, monyakišiši o šomišitše teko ya Chi-square (χ2) go ela bogolo bja kamano magareng ga diphapano tše pedi tša magoro. Ge p-value e le ye nnyane go 0.05, go na le kamano ye bohlokwa magareng ga diphapano – ke gore, diphapano di a hlalošana. Dinyakišišo di hweditše gore dipharologantši tša ekonomi ya setšhaba tša go swana le letseno la kgwedi ka kgwedi, maemo a mošomo, bong, maemo a thuto a hlogo ya lapa, palao ya maloko a ka lapeng ao a šomago, tšhomišo ya tšhelete go enetši le mohuta wa mošomo di raloka tema ye bohlokwa ka mabakeng ao a huetšago go šomišwa ga dikgong. Ka lebaka la mabaka a, enetši ya dikgong e sa šomišwa bjalo ka methopo o bohlokwa wa enetši ke malapa a mantši ka nepo ya go fihlelela dinyakwa tša bona tša ka gae tša go apea le go ruthufatša dintlo – go sa kgathale gore bontši bja tšona ke tša mohlagase. Godimo ga fao, tlhokego ya thuto ya mabapi le tikologo, kabo ya mohlagase ye e sa tshepišego le maemo a bophelo ao a hlobaetšago ao a hlohleletšago bohloki ka dinagamagaeng di tsenya letsogo go tšhomišo ya dikgong go fetišiša ka malapeng. Dinyakišišo di hlagiša ditšhišinyo tša mabapi le go fokotša tšhomišo ya dikgong go fetišiša. Ditšhišinyo tše di akaretšwa go hlohleletša tšhomišo ya mohlagase wa go dirišwa leswa le ditheknolotši tša enetši tša sebjalebjale tša go swana le gase ya tlhago le mohlagse wa sola, gotee le ditofo tša go apea tšeo di kaonafaditšwego ka nepo ya go fokotša go šomiša kudu methopo ya tlhago le go thibela tšhilafatšo ya moya ya ka dintlong e lego seo se amantšhwago le bolwetši bja pelo le mahu. Gape go na le tlhokego ya go tliša temošo ya tša tikologo. Ke ka go diriša thuto fao e lego gore maikutlo a batho, ditebelelo le maitshwaro a bona mabapi le ditiro tša tšhomišo ya dikgong a tlago fetošwa. Tšwetšopele ya tlhabollo ya go ya go iule ka taolo ya go rema dikgong le go bjala mehlare fao go ka fokotšago go rengwa ga mehlare, tahlegelo ya mehutahuta ya diphedi, tlhaelelo ya dikgong le kgogolego ya mobu. / Environmental Sciences / M. Sc. (Environment Management)

Abstract in English, Sepedi and Sesotho / In this thesis, the researcher used an explanatory sequential mixed methods research design to investigate the role of English academic vocabulary on reading comprehension of grade 11 English First Additional Language (EFAL) learners in the Free State province, Fezile Dabi district in South Africa. The current study is an attempt to determine whether the breadth and depth of vocabulary knowledge have a bearing on grade 11 EFAL learners' reading comprehension, and to examine which one of these variables, that is, breadth or depth of vocabulary knowledge, makes a more important contribution to reading comprehension. It also attempts to investigate the Vocabulary Learning Strategies (VLS) used by grade 11 EFAL learners. For the non-experimental quantitative study, the participants of the study were thirty EFAL learners who were chosen based on available sampling. To collect the relevant data, two tests measuring breadth and depth of vocabulary knowledge (Section A and Section B) and a reading comprehension were administered to all participants. To achieve its aim 1, two independent variables namely, the Vocabulary Levels Test (VLT) which measures vocabulary breadth and Word Associate Test (WAT) which measures vocabulary depth were used. Then, the dependent variable was the reading comprehension test in which the participants were asked to read the passages and answer some multiple choice questions. Pearson product-moment correlations and multiple regression were chosen as the dominant techniques for the statistical analyses. The results obtained from the analysis of the data indicated that while both depth and breadth of vocabulary knowledge play an important role in EFAL learners' reading comprehension performance, depth of vocabulary knowledge makes a more important contribution. The results further revealed that depth and breadth of vocabulary knowledge are positively correlated, that is, those learners who had large vocabulary size had a deeper knowledge of the words, too. Then, the findings from the qualitative study based on the data collected through eight focus group discussion participants about the VLS used by grade 11 EFAL learners, highlight that it is important to explore and broaden learners’ vocabulary learning strategic knowledge. Also, results reflect that learners can take control of their own vocabulary learning as long the teachers train and then offer them opportunities to learn and practice the strategies.The qualitative data for this study was analysed using the content analysis method. / Nyakisiso ye e tserwe ka mekgwa ye mentshi ye e hlakantshitsweng lebaka e le go nyakishisha ka karolo yeo polelo ya Sepediya poleloya tlatselletso e ralokang karolo dithutong tsa polelo ya go bala taodiso mphatong wa lesometee (11) polelong go bana kua porofenseng ya Foreistata e bitswang Fezile Dabi, districting (lefapheng) gona mo Aforika Borwa. Gonabjalo dithuto di ipontsha go ikemisetsa go tseba ka bophara le bogolo ba tsebo ka polelo ya sepedi ka seo e leng sona Mphatong wa le sometee (11), polelong ya tlatselletso ya bana ba mphato wa lesometee ka go bala ga taodisho. Go nyakega di nyakisiso ka mekgwa yeo oka e berekisang ke bana ba Mphato wa lesometee polelong ya tlatselletso. Go thuto yeo e tiilego batseakarolo ba masome a mararo (30) ba polelo ya tletselletso e leng bana ba sekolo bao ba kgethilweng ka mokgwa wa dinyakisiso tse di ntshitswego. Go humana palo ya mannete, dihlahlobo tse pedi (2) tseo ditlago go lekanetsa bogolo le bophara ba tsebo ya go bolela le go bala taodisho e filwe batseakarolo kamoka. Go humana maikemisetso a pele (1). Tseo di ikemetsego di bolelwe, le hlahlobo ya polelo ya mantswe eo e lekanyetsago polelo ka bophara e berekishitswe. Seo se ikemetsego e be ele go bala teko ya taodiso ye batseakarolo ba kgopetsweng go bala ditemana le go araba dipotsiso tse mmalwa tseo dikgethilweng. Dipoelo tseo di humanwego gotswa go dipalo tsa tseo ditserweng ka bophara le go bolela ga polelo kapa yona tsebo ya polelo yeo e ralokileng karolo e bohlokwa go polelo ya tlatselletso go baithuti ka go bala taodiso yeo e tsereng karolo ka bophara kapa bogolo ba tsebo ya polelo e dira gore go be bohlokwa gotseyeng karolo. Dipoelo go tswela pele di bontsha bogolo le bophora ka tsebo polelo di ya kopana di ya tsamaisana nang ka tsela ya maleba, Baithuti ba palo ya godimo bao ba nang le tsebo ya polelo yeo e tibileng ka mantswe le bona baya amega. Gotswa go dinyakisiso tseo di fitisisago go humanwe gore dipalopalo go tswa go dihlopa tse sesawi tseo kapa bao batsereng karolo ka mekgwa ya nyakisiso kapa tsebo ya polelo yeo e berekisitswego go bana ba Mphato wa bo lesometee (11) polelong ya tlatselletso e hlagisa gore go bohlokwa gore bogolo ba baithuti bainyakisisetse ka tsebo ya mekgwa ya polelo. Dipoelo di bontsha thuto ya polelo go barutegi bao barutiwago ba filwe monyetla wa go ithuta le go tsea karolo go mekgwa ya go ithuta e fapaneng. / Mokgwa ona o tswakilweng wa ho hlahloba karolo ya puo ya Senyesemane ka ho bala kutlwisiso ya diithuti tsa Sekolo sa Pele sa Puo ea Senyesemane sa Pele (EFAL) seprofinseng sa Free State seterekeng sa Fezile Dabi, Arika Borwa. Phuputso ya morao tjena ke boiteko ba ho bona hore na bophara le botebo ba tsebo wa mantswe di na le sebopeho sa ho bala sekolo sa EFAL, mme ho hlahloba e nngwe ya mefuta ena, ke hore, bophara kapa botebo ba tsebo ya mantswe, e etsa monehelo wa bohlokwa haholwanyane ho bala kutlwisiso. E boetse e leka ho batlisisa mekgwa ya ho ithuta ya mantswe (VLT) e sebediswang ke barutwana ba 11 EFAL. Bakeng sa dipatlisiso tse ngata, barupeluwa ba thuto ba ne ba e-na le diithuti tse mashome a mararo tsa EFAL tse kgethilweng di thehilwe ho sampole e fumanehang. Ho bokella boitsebiso bo nepahetseng, diteko tse pedi tse lekanyang le bophara ba tsebo ya mantswe (Karolo ya A le Section B) mme kutlwisiso ya ho bala e ne e tsamaiswa ho bohle ba barupeluwa. Ho finyella sepheo sa yona 1, mefuta e mmedi e ikemetseng, e leng. Tlhahlobo ya disebediswatsa vocabulary (VLT) e lekanyang tekanyao ya mantswe le Testing (WAT) e lekanyang e tibeleng ya mantswe e sebedisitsweng. Jwale, moelelo o itshetlehile ka ho bala teko ya kutlwisiso eo barupeluwa ba ileng ba koptjoa hore ba bale dipatlisiso le ho araba dipotso tse ngata. Diphello tse fumanweng ha ho hlahlojwa boitsebiso bo bontshiitse hore ho tseba hore boitsebiso bo bongata bo tebileng le bobopeho ba tsebo ya mantswe bo phetha karolo ya bohlokwa haholo. Diphello di ile tsa tswela pele ho senola hore tsebo le tsebo ya tsebo di tsamaisana hantle, ke hore, baithuti ba neng ba e-na le boholo ba di-vocabulary bana le tsebo e tebileng ya mantswe, hape. Jwale dithuto tse tswang thupelong ya boleng bo thehilweng boitsebisong ba dihlopha tse robedi tsa dipuisano tsa dihlopha tsa dipuisano ka sehlopha sa VLS se sebedisitsweng ka dihlopha tsa bo 11 ba EFAL di bontsha hore ke habohlokwa ho hlahloba le ho atolosa tsebo ya diithuti tsa ho ithuta tsebo. Hape, diphello di bontsha hore barupeluwa ba ka nka boikarabelo ba ho ithuta mantswe ha nako e telele matichere a ntse a kwetliswa mme jwale a ba fa menyetla ya ho ithuta le ho sebeisa manqheka. / Language Education, Arts and Culture / D. Phil. (Education)

Abstract in English, Tswana and Northern Sotho / The study aimed to explore teachers’ mathematical knowledge in respect of teaching the concept of fractions to Grade 6 learners. To that end a qualitative study was done, using a case study design. Data were collected through the observation of, and interviews with, three teachers at three schools in the Capricorn South district. Rooted in the theory of constructivism, the study was supplemented by the conceptual framework of mathematical knowledge for teaching (MKT) (Ball et al., 2008) and Shulman’s (1986) notion of pedagogical knowledge for teaching (PCK). The key finding of this investigation revealed that, of the three teachers, two did not develop the concept of fractions for their learners, but merely followed the traditional method of teaching the concept by encouraging their learners to memorise rules without understanding. Only one teacher emphasised an understanding of mathematical concepts. The main observation which the researcher made, was that teachers require a great deal of knowledge and expertise, in carrying out the work of teaching subject matter related to fractions. / Maikaelelo a thutopatlisiso e ne e le go tlhotlhomisa kitso ya dipalo ya barutabana malebana le go ruta barutwana ba Mophato wa 6 mogopolo wa dikarolwana. Go fitlhelela seo, go dirilwe thutopatlisiso e e lebelelang mabaka, go dirisiwa thadiso ya thutopatlisiso ya dikgetsi. Go kokoantswe data ka go ela tlhoko le go nna le dipotsolotso le barutabana ba le bararo kwa dikolong tsa kgaolo ya Capricorn Borwa. Thutopatlisiso eno e e theilweng mo tioring ya kago ya kitso e ne e tshegeditswe ke letlhomeso la sediriswa sa tokololo sa kitso ya dipalo ya go ruta (MKT) (Ball et al. 2008) le mogopolo wa ga Shulman (1986) wa kitso e e kgethegileng ya go ruta (PCK). Phitlhelelo ya botlhokwa ya patlisiso eno e senotse gore mo barutabaneng ba le bararo, ba le babedi ga ba a tlhamela barutwana ba bona mogopolo wa dikarolwana, mme ba latetse fela mokgwa wa tlwaelo wa go ruta mogopolo ka go rotloetsa barutwana go tshwarelela melawana kwa ntle ga go tlhaloganya. Ke morutabana a le mongwe fela yo o gateletseng go tlhaloganngwa ga megopolo ya dipalo. Temogo e kgolo e e dirilweng ke mmatlisisi ke gore barutabana ba tlhoka kitso le boitseanape jo bogolo go tsweletsa tiro ya go ruta dithuto tse di amanang le dikarolwana. / Dinyakišišo di ikemišeditše go utolla tsebo ya dipalo ya baithuti mabapi le go ruta kgopolo ya dipalophatlo go baithuti ba Kreiti ya 6. Ka lebaka la se go dirilwe dinyakišišo tša boleng, go šomišwa tlhamo ya dinyakišišo tša seemo. Tshedimošo e kgobokeditšwe ka go lekodišiša, le go dira dipoledišano le, barutiši ba bararo ka dikolong tše tharo ka seleteng sa Borwa bja Capricorn. Ka ge di theilwe go teori ya gore baithuti ba itlhamela tsebo, dinyakišišo di tlaleleditšwe ke tlhako ya boikgopolelo ya tsebo ya dipalo go ruteng (MKT) (Ball le ba bangwe, 2008) le kgopolo ya Shulman (1986) ya tsebo ya diteng tša thuto (PCK). Kutollo ye bohlokwa ya dinyakišišo tše e utollotše gore, go barutiši ba bararo, ba babedi ga se ba ba le kgopolo ya dipalophatlo go baithuti ba bona, eupša fela ba no latela mokgwa wa setlwaedi wa go ruta kgopolo ye ya dipalophatlo ka go hlohleletša baithuti ba bona go tsenya melawana ye ka hlogong ka ntle le go e kwešiša. Ke fela morutiši o tee yo a gateletšego gore go swanetše go ba le kwešišo ya dikgopolo tša dipalo. Temogo e tee yeo monyakišiši a bilego le yona, ebile gore barutiši ba hloka tsebo ye kgolo le botsebi, go phethagatša mošomo wa go ruta diteng tša thuto tšeo di amanago le dipalophatlo. / Mathematics Education / M. Ed. (Mathematics Education)

The research study investigated management strategies through which school effectiveness could be enhanced in primary schools situated in Gauteng Province. The enhancement of school effectiveness necessitated the discussion on school improvement to find ways to turn around the situation in dysfunctional schools in the province. The province is characterised by urban and suburban areas, townships, and informal settlements. Teachers in schools in these areas are well qualified. However, different challenges in these areas impact upon the enhancement of school effectiveness. A literature review was conducted to provide a conceptual framework and explain concepts such as effective management, administration, leadership, principal effectiveness, and teacher effectiveness. The literature review also investigated the factors that impact upon school effectiveness and school improvement and explored the historical development of School Effectiveness Research (SER) in the United States of America, Europe, Australia, and Africa to expound the problem investigated. An empirical investigation using a qualitative approach was conducted. Six primary schools were selected using purposive sampling to ensure that different demographic areas were covered in the research. Purposive sampling allowed the researcher to target schools from high and low socio-economic areas because they often experience different challenges concerning to school effectiveness. Data were collected through individual interviews with principals and officials from the Gauteng Department of Education (GDE) at the district and teachers in focus groups. Key findings were identified. Participants from the three categories respectively identified several characteristics of effective schools which concurred with the literature on school effectiveness. They also identified two features of effective schools which were unique to the study: in effective schools, there is little or no learner and teacher absenteeism; and school values which shape the behaviour of learners are clearly articulated. School values include trustworthiness, respectfulness, honesty, responsibility, striving for excellence and good leadership. School effectiveness is hindered by the current process of appointing principals which does not always succeed in selecting principals with the required leadership qualities and management skills. Further, the incorrect implementation of the Integrated Quality Management System (IQMS) in schools hinders teacher development and leads to poor teacher performance. / Die navorsingstudie ondersoek bestuurstrategieë waardeur die effektiwiteit van primêre skole, geleë in die Provinisie van Gauteng verhoog kan word. Die verhoging van effektiwiteit in skole het die bespreking oor skoolverbetering genoodsaak om maniere te vind om die situasie in disfunksionele skole in die provinisie om te draai. Die provinsie word gekenmerk deur landelike en stedelike gebiede, lokasies, en informele nedersetttings. Onderwysers van skole in hierdie gebiede is goed gekwalifiseerd. Verskeie uitdagings in hierdie gebiede het egter n uitwerking op die verhoging van effektiwiteit in skole. ʼn Literêre oorsig is uitgevoer om n konseptuele raamwerk te voorsien en om konsepte soos effektiewe bestuur, administrasie, leierskap, effektiwiteit van die skoolhoof, en onderwysers te verduidelik. ʼn Kwalitatiewe benadering is gebruik om die empiriese ondersoek uit te voer. Ses primêre skole is gekies en doelgerigte steekproefneming is gebruik om te verseker dat verskillende demografiese gebiede deel was van die navorsing. Doelgerigte steekproefneming het die navorser toegelaat om skole van hoë en lae sosio-ekonomiese gebiede te teiken omdat hulle dikwels verskillende uitdagings aangaande die effektiwiteit van skole ervaar. Data is versamel deur indivduele onderhoude met skoolhoofde en amptenare van Gauteng Onderwys Departement (GDE) by die distrik en deur fokusgroep onderhoude met onderwysers. Sleutelbevindinge was soos volg. Deelnemers uit die drie kategoriëë het onderskeidelik geidentifiseer met verskeie eienskappe van effektiewe skole wat ooreenstem met die literatuur op effektiwiteit in skole. Hulle het ook twee kenmerke van effektiewe skole wat uniek was tot die studie geïdentifiseer: in effektiewe skole is daar min of geen afwesigheid van leerders en onderwysers; en skoolwaardes wat die gedrag van leerders vorm word duidelik verwoord. Skoolwaardes sluit betroubaarheid, respek, eerlikheid, verantwoordelikheid, strewe na uitenmendheid en goeie leierskap in. Effektiwiteit in skole word verhinder deur die huidge proses van aanstelling van skoolhoofde wat nie altyd daarin slaag om skoolhoofde te kies wat die nodige leierskap en bestuurseienskappe het nie. Verder, die verkeerde implementering van die Geïntegreerde Bestuurstelsel (IQMS) in skole belemmer die ontwikkeling en lei tot swak prestasie van onderwysers. / Dinyakisiso tse tsa go ithuta di be di tsomana le mekgwanakgwana ya bolaodi bja thuto go tiisetsa gore dikolo tsa motheo Profentsheng ya Gauteng di soma mesomo yeo e nepagetsego. Tiisetso ya go soma mesomonepagetsego ya sekolo e dirile gore go ahlaahliwe hlabollo ya dikolo go humana ditselana tseo ka tsona re ka hlabolang dikolo tseo di sa someng botse mo profentsheng. Profentshe ya Gauteng e na le dikolo tsa motsesetoropong le tsa mo go bego go dula batho basweu fela. Barutisi mo mafelong a ba na le di thuto tse maleba. Fela, dihlotlo tseo dileng gona mo mafelong a di huetsa tiistso ya go soma mesomonepagatso sekolong. Go dirilwe tekololeswa ya dingwalwa go hlalosa dikgopolo tse bjalo ka taolonepagatso, boetapele, mesomonepagatso ya hlogo ya sekolo le mesomonepagatso ya morutisi. Tekololeswa ya dingwalwa e nyakisisitse dintlha tseo di huetsang mesomonepagetso sekolong le hlabollo ya sekolo go lebeletswe tswetsopele ya dinyakisiso tsamesomonepagatso ya dikiolo dinageng tsa United States of America, Europa, Australia le Afrika go hlalosa bothata bjo bo nyakisiswago. Go dirilwe dinyakisiso ka poledisano go somiswa mokgwa wa kwalitetifi. Go kgethilwe dikolo tse tshela tsa fase ka go somisa kgetho ka maikemisetso go direla gore go akaretswe dikolo go tswa mafelong a go fapana. Kgetho ka maikemisetso e dumelela monyakisisi go tswa mafelong a batho ba go ba le sa bona le mafelong a batho ba go hloka sa bona ka ge ba itemogela dihlotlo tse fapaneng mesomonepagatso. Tshedimoso ye e kgobokeditswe ka dipoledisano le dihlogo tsa dikolo motho a le nosi le bahlankedi bammuso wa Kgoro ya Thuto ya Kgauteng motho a le nosi le dipoledisano ka sehlopha. Dintlha tsa dipoelo di be di le mo go latelago: Batseakarolo go tswa mafapeng a go fapana ba hlaotse diponagalo tsa dikolo tseo disomago ka nepagalo tseo di dumelelanago le tekololeswa ya dingwalwa. Gape ba hlaotse dipanagalo tse dingwe tsa moswana nosi: Dikolo tsa go soma ka nepagalo ga di na barutwana goba barutisi ba go se tle sekolong. Meano ya sekolo e akaretsa botshephegi, tlhompho, boikarabelo le go somela bobotse ka go fetisa le boetapele bjo bo botse. Mosomonepagatso ya sekolo e sitiswa ke tshepediso ya go thwala dihlogo tsa dikolo yeo ka nako tse dinwe e sitago ke go hlaola hlogo ya sekolo yeo e nago le boetapele le bolaodi bjo bo botse. Gape, go tsentshatirisong wo o fasagetseng wa tshepetso ya bolaodi bja hlabollo ya barutisi go sitisa tswelopele. / Educational Management and Leadership / Ph. D. (Education Management)

Text in English with abstracts and keywords in English, Afrikaans, Sepedi and Sesotho / Soil and other geological materials found on the crust of the Earth are known to be rich in naturally occurring silicate minerals. Asbestos is one of the fibrous silicate minerals that was mined predominantly in some regions of Limpopo, Mpumalanga and Northern Cape provinces in South Africa. Despite the cessation of asbestos mining due to associated human health effects in 2002, there is still a concern about possible environmental exposure to asbestos fibres. A single asbestos fibre is made of millions of microscopic needle-like fibrils which break easily to produce inhalable size fractions that are reported to cause lung diseases. The main source of asbestos fibres in former mining areas is asbestos mine dumps and asbestos contaminated surface soil. Asbestos mine dumps in Limpopo Province are partially rehabilitated, while in Mpumalanga Province they are not rehabilitated and all these dumps are now under the care of government because the original owners have abandoned them. The settleable dust is the first indicator of airborne dust pollution and the rate of settleable dust rates was used to select the sites to be monitored. A pilot study was conducted to test the performance of the ASTMD1739:1998 and ASTM D 1739:1970 methods. The method was further modified and optimized to measure asbestos load in settleable dust samples. A total ten sites located around vulnerable human settlements that are in close proximity to the abandoned asbestos mine dumps were chosen in Mpumalanga and Limpopo Provinces respectively. Airborne, surface and trapped dust samples were collected once a month around human settlements that are in close proximity to the abandoned asbestos mine dumps from April 2016 to June 2017. Airborne dust samples were collected using the official settleable dust monitoring method, the general particulate matter E-sampler and the official asbestos Air-Con 2 sampler. Surface dust was collected outdoors around the settleable dust collection units using a brush and dust pan and was stored in labeled zipper bags made of plastic material. Trapped dust samples were collected using sticky tape both indoors and outdoors around the window panes, on surfaces of furniture and on windscreens of old cars and were stored in labeled closed containers. Surface soil samples were also screened with the hand held asbestos analyser before collection. The samples were extensively and carefully prepared and handled to avoid or minimize cross contamination using standard laboratory methods and were analysed using calibrated analytical instruments. An adapted method (ASTMD 1739:1970) was used to determine the presence of asbestos hazard in a form of mineral count. This method was also used for the identification of asbestos and other minerals in different dust samples using the XRD technique. Physical features of all minerals such as the shape, size and type were also determined as part of the characterization process using the SEM-EDS technique. The ASTMD1739:1998 method gave rise to higher retention of settleable dust, hence it was found to be more efficient. Unfortunately, this best performing method is not legislated or regulated by the government. This researcher concludes that the reasons could be due to the different shapes of the windshield designs (which means the different designs of windshields) at may make it difficult to standardize and control. However, this information gap provides an opportunity of a longer focused study of this method with the intention of finding a standardized windshield design that could be recommended for use in the country. Secondly, the units that had both water and algaecide gave rise to higher settleable Mpumalanga. Three exceedances of 600 mg/m2/day of residential limit regulated through National Dust Control Regulation no.28 of 2013 presented in decreasing order in Limpopo were 2724 mg/m2/day at Site E, 1638 mg/m2/day at Site D and 834 mg/m2/day at Site B in the same month of March 2017 . The XRF data of metal oxides, including these top three [Si(IV)O2, Fe2(III)O3 and Al2(III)O3], confirm the dominance of silicate minerals in surface dust samples from both provinces. The XRD mineralogy data from filtered settleable dust show the dominance of the amphibole asbestos particulates ranging from 18 to 56 % in Limpopo province and 2.0 to 3.0 % in Mpumalanga province. Low presence of serpentine minerals with the highest being 2.0 % and 7.0 % in Limpopo and Mpumalanga provinces respectively. About 8.0 to 43 % of amphibole asbestos minerals were measured on trapped dust in Limpopo together with zero detection of serpentine. No asbestos minerals were detected on trapped dust from Mpumalanga, despite the close proximity of the unrehabilitated asbestos mine dumps All airborne asbestos fibres that were captured on the filter substrates were a bove the limit value of 100 f/mL of air. The highest airborne asbestos fibre and concentration counts m easured were 40 fibres and 0, 00434 f /mL concentration in October 2017 at Site A. The second highest fibre count concentration was measured in June with 0,00287 f/mL at Site A in September 2017 and 0,01085 f/mL at the Site D in June 2017 monitoring sites. Again, the highest in June 2017 with 0,00125 f/mL for Site A for Limpopo Province. In Mpumalang a the lowest asbestos fibre concentration which are be low the OHSA no. 39 of 1993 and MDHS 39/ 4, 1995 0.1 f/mL and 100 f/mL However, from the safety perspective all asbestos fibres or minerals inhaled are a hazard to human health. The study established that the adapted asbestos mineral count method succeeded in identifying and quantifying the asbestos minerals that existed in the settleable dust samples from the study areas. These outcome s were successfully validated with the test undertaken using both the officially (Air Con 2 sampler) and unofficial (E sampler) recognized method of asbestos fibre count. The adapted mineral count method provides the research community with an alternative, cost effective and user friendly method of analysis. Also, the validation method s gave additional new information. Of a total of 120 of ex- posed filter papers used in the official asbestos fibre Air Con 2 sampler, 28 filters had positive presence of asbestos fibres, making it 23 collection efficiency And of the 100 exposed filt er papers used in for E samplers, only 8% collection efficiency was recorded. The results means that the official asbestos fibre Air Con 2 sampler has 23 more collection efficiency than the general particulate matter E sampler for air- borne asbestos monitoring. The impact of these results could also be that a general particulate matter high volume sampler c ould still be used for asbestos fibre monitoring in the absence of a specific and selective Air Con 2 sampler, as long as the user appreciates abo ut 23 collection deficiency. These findings go a long way in helping to make air quality research domain accessible. Since the ASTM D1739:1998 method has been found to perform better than the officially recognized method, this study recommends that the regulators of air quality in the country consider it. But, the method will first require some improvement and standardization particularly the different wind shield designs before it could be officially accepted as the method of collection and analyses for settleable dust. It is hoped that the air quality research community will take up the challenge. / Grond en ander geologiese materiale wat op die aardkors aangetref word, is bekend dat hulle ryk is in silikaatminerale wat natuurlik voorkom. Asbes is een van die veselagtige silikaatminerale wat hoofsaaklik in sommige streke van die Limpopo, Mpumalanga en Noord-Kaap Provinsies in Suid-Afrika ontgin is. Ondanks die staking van asbesmynbou in 2002 as gevolg van gepaardgaande gesondheidseffekte op mense, is daar steeds kommer oor moontlike blootstelling aan asbesvesels in die omgewing. 'n Enkele asbesvesel bestaan uit miljoene mikroskopiese naaldagtige vesels wat maklik breek om partikels van inasembare grootte te produseer wat volgens berigte longsiektes veroorsaak. Die belangrikste bron van asbesvesels in voormalige myngebiede is asbesmynhope en besmette asbesoppervlakgrond. Asbesmynhope in Limpopo Provinsie word gedeeltelik gerehabiliteer, terwyl hulle in Mpumalanga Provinsie nie gerehabiliteer word nie, en al hierdie mynhope is nou onder die regering se toesig omdat die oorspronklike eienaars die mynhope verlaat het. Die neerslagbare stof is die eerste aanduiding van stofbesoedeling in die lug en is gebruik om die terreine wat gemoniteermoet word, te kies. 'n Loodsstudie is uitgevoer om die prestasie van die ASTMD1739:1998 en ASTMD1739:1970 metodes te toets. In die loop van die studie is 'n amptelike ASTMD1739:1970 metode gebruik en toegepas vir die versameling van neerslagbare stofmonsters. In Mpumalanga en Limpopo Provinsies respektiewelik is daar altesaam tien (10) terreine gekies rondom kwesbare menslike nedersettings wat naby die verlate asbesmynhope geleë is. Stofmonsters in die lug, oppervlak en wat vasgevang is, is een keer per maand versamel vanaf April 2016 tot Junie 2017 rondom menslike nedersettings in die nabyheid van die verlate asbesmynhope. Stofmonsters in die lug is versamel volgens die amptelike neerslagbare stofmoniteringsmetode, die E monsternemer en die Air-Con 2 monsternemer. Oppervlakstof is buite met behulp van 'n kwas en stofpan rondom die neerslagbare stofopvangeenhede opgevang en is in gemerkte ritsakke van plastiekmateriaal geberg. Stofmonsters wat vasgevang is, is met behulp van kleeflint, binne en buite, om vensterruite, op meubeloppervlaktes en op voorruitte van ou motors versamel, en is in gemerkte geslote houers geberg. Oppervlakgrondmonsters is ook voor versameling met die draagbare asbesanaliseerder gefilter. Die monsters is breedvoerig en sorgvuldig voorberei en hanteer om kruisbesmetting tot ‘n minimum te beperk deur gebruik te maak van standard laboratoriummetodes en is ontleed met behulp van gekalibreerde analitiese instrumente. 'n Aangepaste metode is gebruik om die teenwoordigheid van asbesgevaar in 'n vorm van mineraaltelling te bepaal. Hierdie metode is ook gebruik vir die identifisering van asbes en ander minerale in verskillende stofmonsters met behulp van die XRD tegniek. Die fisiese kenmerke van alle minerale soos die vorm, grootte en tipe is ook bepaal as deel van die karakteriseringsproses met behulp van die SEM-EDS tegniek. Die ASTMD1739:1998 metode het gelei tot 'n hoër retensie van neerslagbare stof, en daarom is gevind dat dit doeltreffender is. Ongelukkig word hierdie metode wat die beste presteer nie deur die regering gewettig of gereguleer nie. Hierdie navorser kom tot die gevolgtrekking dat die redes kan wees as gevolg van die verskillende vorms van die voorruitontwerpe wat dit moeilik kan maak om dit te standaardiseer en te beheer. Hierdie inligtingsgaping bied egter 'n geleentheid tot 'n langer gefokusde studie van hierdie metode met die doel om 'n gestandaardiseerde voorruitontwerp te vind wat aanbeveel kan word vir gebruik in die land. Tweedens het die eenhede wat beide water en alge-suurwater gehad het, gelei tot 'n hoër neerslagbare stof in Mpumalanga Provinsie. Drie oorskrydings wat in dalende volgorde in Limpopo aangebied is, was 2724 mg/m2/dag op perseel E, 1638 mg/m2/dag op perseel D en 834 mg/m2/dag op perseel B in dieselfde maand van Maart 2017. Die XRF data van metaaloksiede, met inbegrip van hierdie top drie [Si(IV)O2, Fe2(III)O3 en Al2(III)O3], bevestig die oorheersing van silikaatminerale in oppervlakstofmonsters van beide provinsies. Die XRD mineralogiedata van gefiltreerde, neerslagbare stof toon die oorheersing van die amfibool asbesdeeltjies wat wissel tussen 18 en 56 % in Limpopo Provinsie en 2.0 en 3.0 % in Mpumalanga Provinsie. Daar is ‘n lae teenwoordigheid van serpentynminerale met die hoogste onderskeidelik 2.0 % en 7.0 % in die Limpopo en Mpumalanga Provinsies onderskeidelik. Ongeveer 8.0 tot 43 % van die amfibool asbesminerale is op vasgevangde stof in Limpopo gemeet, tesame met geen opsporing van serpentyn. Geen asbesminerale is opgespoor in die vasgevangde stof van Mpumalanga nie, ondanks die nabyheid van die ongerehabiliteerde asbesmynhope. Alle asbesvesels in die lug wat op die filtersubstrate vasgelê is, was bo die grenswaarde van 100 f/mL lug. Die hoogste asbesvesel en konsentrasietellings in die lug gemeet, was 40 vesels en 'n konsentrasie van 2.083 f/mL in Oktober op Terrein A. Die volgende hoogste veseltellingkonsentrasie is in Junie gemeet met 6.590 f/mL op die Terrein A en 5.272 f/mL op die Terrein D moniteringsterreine. In Mpumalanga was die hoogste asbesveselkonsentrasie 2.190 f/mL in Junie en 2.083 f/mL in November op Terrein D. Uit ‘n veiligheidsperspektief is alle asbesvesels of minerale wat ingeasem word egter 'n gevaar vir die mens se gesondheid. Die studie het vasgestel dat die aangepaste asbesmineraaltellingmetode daarin geslaag het om die asbesminerale wat in die neerslagbare stofmonsters uit die studiegebiede bestaan te identifiseer en te kwantifiseer. Hierdie uitkoms is suksesvol bekragtig met die toets wat onderneem is met behulp van die amptelik erkende metode vir die telling van asbesvesel. Die aangepaste mineraaltellingmetode bied aan die navorsingsgemeenskap 'n alternatiewe, koste-effektiewe en gebruikersvriendelike ontledingsmetode. Aangesien daar gevind is dat die ASTMD1739:1998 metode beter presteer as die amptelik erkende metode, beveel hierdie studie aan dat die reguleerders van luggehalte in die land dit oorweeg. Maar die metode sal eers verbetering en standaardisering verg, veral die verskillende windskermontwerpe voordat dit amptelik aanvaar kan word as die metode om neerslagbare stof te versamel en te ontleed. Daar word gehoop dat die gemeenskap wat luggehalte navors die uitdaging sal aanpak. / Mabu le dišomišwa tše dingwe tša bothutaswika tše di hwetšagalago bokagodimo ba Lefase di tsebja di e na le diminerale tše dintši tša tlhago tše di diragalago ka tlhago. Marela ke e ngwe ya diminerale tše di nago le dimela tše di ntši kudu tše di bego di epšwa kudu mafelong a mangwe a diphrofentshe "diphrofentsheng tša Limpopo, Mpumalanga le North Cape Afrika Borwa. Le ge go feditšwe go epšwa marela ka lebaka la ditlamorago tše amanago le maphelo a batho ka 2002, go na le pelaelo malebana le go utullwa ga malwetši a marela. Fibre ke ye ngwe ya marela ye e dirilwego ka maekrosekopiki tše dimilione tše di ka senyegago bonolo go tšweletša khemobonolo yeo e hlamago malwetši a mafahla. Sehlodikgolo sa malwetši a marela mafelong a mathomo ao go bego go le meepo ke sekoti sa marela le mabu a ka godimo ga marela. Dikoti tša meepo ya Marela Phrofentsheng ya Limpopo di mpšhafaditšwe ka tsela ye itšego, eupša Phrofentsheng ya Mpumalanga ga se tša mpšhafatšwa gomme mafelo a ka moka a laolwa ke mmušo gobane beng ba tšona ba di tlogetše. Lerole le ka rarollwago ke sešupopele sa tšhilafalo ya moya e dirwago ka moya gomme se be se šomišwa go kgetha mafelo ao a loketšwego go hlokomelwa. Go ile gwa dirwa tekolo ya go leka tšhomo ya mekgwa ya ASTMD1739: 1998 le ASTM D 1739: 1970. Ge re ntše re tšwela pele ka thuto, go šomišitšwe mokgwa wa semmušo wa ASTM D1739: 1970 gomme wa šomišwa lebakeng la go kgoboketša sampole ya lerole e ka rarollwago. Mafelo a lesome (10) a hweditšwe kgauswi le bodulo ba batho bjo bo lego kotsing ka dikoti tša meepo ya marela di ile tša kgethwa diphrofentsheng tša Mpumalanga le Limpopo ka go latelana. Disampole tša moya tša ka godimo ga lefase, godimo le tše di khutilego di ile tša kgoboketšwa ga tee kgweding kgauswi le bodulo ba batho tše di bego kgauswi kudu le dikoti tša meepo ya marela go tloga ka la 2016 Mopitlo go fihla ka Phupu 2017. Mehuta ya lerole ye sepetšwago ke moya e ile ya kgoboketšwa go šomišwa mokgwa wa semolao wa go tšweletša lerole, E-sampler le sampole ya Air-Con 2. Lerole la ka godimo le be le kgoboketšwa ka ntle go rarela dikarolo tša go kgoboketša lerole go šomišwa poratšhe le pane ya kota gomme le bolokelwa ka mekotleng e nago le zipper ye dirilwego ka polasetiki. Sampole ya lerole le le bego le gaeletšwe le ile la kgoboketšwa ka theipi ya go momela bokagareng le bokantle bja morumofasetere,mabotong a phahlo , le godimo ga galasebokapele dikoloing tša kgale gomme tša bolokwa ka gare ga didirišwa tšeo di makilwego. Disampolo tša mabu a ka godimo di be di hlahlobjwa gape ka mokgwa wa go kgwa ka letsogo ke mohlahlobi wa marela pele go kgoboketšwa. Disampole di be di lokišitšwe kudu ebile di dirilwe ka tlhoko go efoga tšhilafalo ka mekgwa ye tlwaelegilwego ya laporatori gomme ba e hlahloba ba šomiša didirišwa tša go hlahloba. Mokgwa o ikgethilego o šomišwa go hwetša bogona ba kotsi ya marela ka mokgwa wa palo ya diminerale. Mokgwa wo o be o šomišitšwe gape le go bošupong ba marela le diminerale tše dingwe ka gare ga disampole tše di fapanego tša lerole go šomišwa mokgwa wa XRD. Dibepegopono tša diminerale ka moka go swana le sebopego, bogolo le mohuta le tšona di be di tšewa e le karolo ya tshepetšo ya pharodipataka go bogolo le mohuta le tšona di be di tšewa e le karolo ya tshepetšo ya pharodipataka go šomišwa mokgwa wa SEM-EDS. Mokgwa wa ASTMD1739: 1998 o ile wa dira gore go bolokwe lerole le phagameng ka go fetolegago, ka gona go hweditšwe gore le šoma gabotse kudu. Ka bomadimabe, mokgwa wo o tšweletši kudu ge o ngwadišwa ke molao go mmušo. Monyakišiši wo o phetha ka gore mabaka e ka ba ka lebaka la dibopego tše di fapaneng tša meralo ya setsi sa moya se se ka dirago gore go be boima go tseba le go laola. Le ge go le bjalo, sekgoba se sa tshedimošo se fa monyetla wa go ithuta nepišo e telele ya maikemišetšo a go hwetša moralo o tiišitšwego wa moya o ka šišinywago gore o šomišwe ka nageng. Ya bobedi, diyuniti tše di bego di e na le meetsi le algaecide di ile tša tšweletša maemo a phagamego Mpumalanga Phrofentsheng. Ditekanyetšo tše tharo tše di tšweleditše ka tatelano ya taolo e fokotšegago e be e le 2724 mg/ m2/ letšatši go Site E, 1638 mg / m2/ letšatši go Site D le 834 mg/ m2/ letšatši go Site B kgweding ye tee ya Hlakola 2017 Dintlha tša XRF tša di-oxide tša tšhipi, go akaretša tše tše tharo tša godimo [Si (IV) O2, Fe2 (III) O3 le Al2 (III) O3], di tiiša boleng bo phagameng ba diminerale tša silrate mehuteng ya lerole ye e tšwago diphrofentsheng ka bobedi. Dintlha tša XRD tša mineralogy tše di tšwago leroleng le tšhilafatšong di ka tšewa di bontšha phelo ya marela ya amphibole go tloga go 18 go iša go 56% phrofentsheng ya Limpopo le 2.0 go iša go 3.0% phrofentsheng ya Mpumalanga. Bogonatlase ba diminerale tša serpentine tše phagameng ka go fetišiša e le 2.0% le 7.0% diphrofentsheng tša Limpopo le Mpumalanga ka go latelana. Go lekana 8.0 go iša go 43% ya diminerale tša marela tše lekantšwego di ile tša lekanywa leroleng le ageeletšwego ka Limpopo gammogo le go utullwa ga serpentine. Ga go na diminerale tša marela tše di hweditšwego leroleng le ageeletšwego le tšwago Mpumalanga, le ge e le kgauswi kgauswi le dikoti tša mope wa maraba wa marela se a mpšhafatšwago. Mehuta ka moka ya moya ya marela ye e bego e swerwe ka gare ga moya o bego o Mehuta ka moka ya moya ya marela ye e bego e swerwe ka gare ga moya o bego o le ka godimo wa boleng ba moya wa 100 f /mL. Mohuta o phagamego go fetišiša wa moya wa marela le dipalo tša mahlorišo a lekantšwego e be e le tše 40 le bogolo ba 2.083 f /mL ka Diphalane go Site A. Tekanyomahloriš e latelago ya fiber e lekantšwe Phupu ka 6.590 f /mL go Site A le 5.272 f /mL Site D mafelong a tlhahlobo. Nageng ya Mpumalanga, di-fibre tša marela tše phagamego ka go fetišiša e be e le 2.190 f / mL ka Phupu le 2.083 f /mL ka Dibatsela go Site D. Le ge go le bjalo, go latela ponego ya tšhireletšo, fibre ka moka tša marela goba diminerale tše di hengwago di kotsi maphelong a botho. Boithuto bo bo utullotše gore mokgwa wo lekantšwego wa marela o bontšhitšwegošupo o atlegile go kgetholla le go hlakola diminerale tša marela tše di bego di le gona ka gare ga disampolo tša lerole le tšwago mafelong a boithuto. Sephetho se se netefaditšwe katlego le tlhahlobo ye e dirilwego e šomišwago mokgwa wo amogetšwego ke molao wa marela fiber. Mokgwa o lekantšwego wa diminerale o thuša setšhaba sa dinyakišišo ka mokgwa o mongwe wa tlhahlobo ye e šongwago, gabotse e bile ye botho. Go tloga go mokgwa wa ASTM D1739: 1998 o hweditšwe o šoma gabotse go feta mokgwa wo amogetšwego ke molao, thuto ye e šupetša gore balaodi ba boleng ba moya nageng ba e nagane. Empa, mokgwa wo o tla hloka mpšhafatšo le maemo pele kudu meralo ye fapaneng ya thebe ya moya pele e ka amogelwa ke molao e le mokgwa wa go kgoboketša le go sekaseka lerole le le ka rarolwago. Re tshepa gore setšhaba sa dinyakišišo tša boleng ba moya se tla tšea bothata bo. / Mobu le lisebelisoa tse ling tsa jioloji tse fumanehang bokaholimo ba Lefatše li tsejoa li na le liminerale tse ngata tsa tlhaho tse etsahalang ka tlhaho. Asbestos ke e 'ngoe ea liminerale tse nang le silika e ngata e neng e chekoa haholo libakeng tse ling tsa liprofinse tsa "liprofinse tsa Limpopo, Mpumalanga le North Cape Afrika Boroa. Leha ho felisoa morafo oa asbestos ka lebaka la litlamorao tse amanang le bophelo bo botle ba batho ka 2002, ho ntse ho na le ts'oenyeho mabapi le ho pepesetsoa ha tikoloho likhoele tsa asbestos. Fiber e le 'ngoe ea asbestos e entsoe ka likhoele tse limilione tse kang nale tse tsoang habonolo ho hlahisa likaroloana tse sa bonoeng tse tlalehang libaka-mafuamatšo. Mohloli o ka sehloohong oa likhoele tsa asbestos libakeng tseo pele e neng e le tsa meepo ke lithako tsa asbestos le mobu o silafetseng oa asbestos. Likotlo tsa merafo ea Asbestos Profinseng ea Limpopo li nchafalitsoe ka tsela e itseng, athe Profinseng ea Mpumalanga ha e nchafatsoe 'me libaka tsena kaofela li laoloa ke mmuso hobane beng ba tsona ba ba lahlile. Lerōle le ka rarolloang ke letšoao la pele la tšilafalo ea moea e tsoang ka moea mme le ne le sebelisetsoa ho khetha libaka tseo li lokelang ho-shebelloa. Ho ile ha etsoa boithuto ba ho leka ts'ebetso ea mekhoa ea ASTMD1739: 1998 le ASTM D 1739: 1970. Ha re ntse re tsoela pele ka thuto, ho sebelisitsoe mokhoa oa semmuso oa ASTM D1739: 1970 'me oa sebelisoa bakeng sa ho bokella sampole ea lerōle e ka rarolloang. Sebaka sa libaka tse leshome (10) tse fumanehang haufi le bolulo ba batho ba tlokotsing tse haufi le libaka tse lahliloeng tsa meepo ea asbestos li ile tsa khethoa liprofinseng tsa Mpumalanga le Limpopo ka ho latellana. Lisampole tsa moea tse ka holim'a lefatše, holimo le tse patiloeng li ile tsa bokelloa hang ka khoeli ho potoloha libaka tsa bolulo tsa batho tse haufi haholo le libaka tse lahliloeng tsa moepo oa asbestos ho tloha ka Mmesa 2016 ho fihlela ka Phuptjane 2017. Mefuta ea lerōle e tsamaisoang ke moea e ile ea bokelloa ho sebelisoa mokhoa oa semolao oa ho hlahisa lerōle, E-sampler le sampole ea Air-Con 2. Lerōle le kaholimo le ne le bokelloa ka ntle ho potoloha likarolo tsa ho bokella lerōle le sebelisa brashi le pane ea patsi mme le bolokiloe ka mekotleng e nang le zipper e entsoeng ka thepa ea polasetiki. Mehlala ea lerōle e neng e tšoasehile e ile ea bokelloa ho sebelisoa theipi e khangoang ka tlung le kantle kahare ho lifensetere, ka holim'a thepa ea ka tlung le lifensetereng tsa likoloi tsa khale 'me li bolokiloe ka har'a lisebelisoa tse koetsoeng. Meetso ea mobu e kaholimo le eona e ile ea hlahlojoa ka letsoho le ts'oaroang ka asbestos pele ho pokello. Mehlala e ne e hlophisitsoe haholo ebile e entsoe ka hloko ho qoba ho silafatsa kapa ho fokotsa tšilafalo ea tšebeliso ea mekhoa e tloaelehileng ea laboratori mme e ile ea hlahlojoa ho sebelisoa lisebelisoa tsa tekanyetso. Mokhoa o ikhethileng o sebelisitsoe ho fumana ho ba teng ha kotsi ea asbestos ka mokhoa oa palo ea liminerale. Mokhoa ona o ne o boetse o sebelisoa bakeng sa ho khetholla asbestos le liminerale tse ling ka har'a disampole tse fapaneng tsa lerōle ho sebelisoa mokhoa oa XRD. Litšobotsi tsa 'mele tsa liminerale tsohle tse kang sebopeho, boholo le mofuta le tsona li ne li nkuoa e le karolo ea ts'ebetso ea sebopeho ho sebelisa mokhoa oa SEM-EDS. Mokhoa oa ASTMD1739: 1998 o ile oa etsa hore ho bolokoe lerōle le phahameng ka ho fetelletseng, ka hona ho fumanoe hore le sebetsa hantle haholo. Ka bomalimabe, mokhoa ona o atlehileng ka ho fetisisa ha o ngolisoe ke molao kapa 'muso. Mofuputsi enoa o phethela ka hore mabaka a ka ba teng ka lebaka la sebopeho se fapaneng sa meralo ea setsi sa moea se ka etsang hore ho be thata ho tseba le ho laola. Leha ho le joalo, lekhalo lena la tlhaiso-leseling le fana ka monyetla oa ho ithuta ho tsepameng molemong oa mokhoa ona ka sepheo sa ho fumana moralo o tiisitsoeng oa moea o ka khothalletsoang hore o sebelisoe ka har'a naha. Ya bobedi, diyuniti tse neng di na le metsi le algaecide li ile tsa hlahisa maemo a phahameng a ho tsetsahala Mpumalanga. Litekanyetso tse tharo tse fanoeng ka tatellano ea taolo e fokotsehang e ne e le 2724 mg/ m2/ letsatsi ho Site E, 1638 mg /m2/ letsatsi ho Site D le 834 mg / m2/letsatsi ho Site B ka khoeli e tšoanang ea Hlakubele 2017. Lintlha tsa XRF tsa li-oxide tsa tšepe, ho kenyelletsa tsena tse tharo tse holimo [Si (IV) O2, Fe2 (III) O3 le Al2 (III) O3], li tiisa boleng bo phahameng ba liminerale tsa silrate mefuteng ea lerōle e tsoang liprofinseng ka bobeli. Lintlha tsa XRD tsa mineralogy tse tsoang lerōleng le ts'ilafatsoang li ka nkuoa li bonts'a phello ea asbestos ea amphibole ho tloha ho 18 ho isa ho 56% profinseng ea Limpopo le 2.0 ho isa ho 3.0% profinseng ea Mpumalanga. Boteng bo tlase ba liminerale tsa linoha tse phahameng ka ho fetisisa e le 2.0% le 7.0% liprofinseng tsa Limpopo le Mpumalanga ka ho latellana. Hoo e ka lerōleng le ts'oaroang ho la Limpopo hammoho le ho sibolloa ha noha. Ha ho na liminerale tsa asbestos tse fumanoeng lerōleng le tsubelletsoeng le tsoang Mpumalanga, leha ho le haufi le marang-rang a litopo tsa asbestos tse sa ntlafatsoang. Mefuta eohle ea moea e kang asbestos e neng e hapiloe kahare ho moea o ne o le kaholimo ho boleng ba moea oa 100 f /mL. Mofuta o phahameng ka ho fetisisa oa moea oa asbestos le lipalo tsa mahloriso tse lekantsoeng e ne e le likhoele tse 40 le boholo ba 2.083 f /mL ka Mphalane ho Site A. Khakanyo e latelang ea fiber fiber e latelang e lekantsoe ka Pherekhong ka 6.590 f /mL ho Site A le 5.272 f /mL setsing D libaka tsa tlhahlobo. Naheng ea Mpumalanga, li-fiber tsa asbestos tse phahameng ka ho fetisisa e ne e le 2.190 f /mL ka Phuptjane le 2.083 f /mL ka Pulungoana ho Site D. Leha ho le joalo, ho latela pono ea ts'ireletso, likhoele tsohle tsa asbestos kapa liminerale tse kentsoeng li kotsi bophelong ba motho. Boithuto bo fumane hore mokhoa o lekantsoeng oa "asbestos" o ntlafalitsoeng o atlehile ho tseba le ho hlakisa liminerale tsa asbestos tse neng li le teng ka har'a mehlala ea lerōle e tsoang libakeng tsa boithuto. Sephetho sena se netefalitsoe ka katleho le tlhahlobo e entsoeng e sebelisang mokhoa o amohetsoeng ka molao oa asbestos fiber count. Mokhoa o lekantsoeng oa liminerale o thusa sechaba sa lipatlisiso ka mokhoa o mong oa tlhahlobo o sebetsang, o sebetsang hantle ebile o sebelisang botsoalle. Ho tloha ha mokhoa oa ASTM D1739: 1998 o fumanoe o sebetsa hantle ho feta mokhoa o amohetsoeng ka molao, thuto ena e khothaletsa hore batsamaisi ba boleng ba moea naheng ba e nahane. Empa, mokhoa ona o tla hloka ntlafatso le maemo pele haholo mealo e fapaneng ea thebe ea moea pele e ka amoheloa ka molao e le mokhoa oa ho bokella le ho sekaseka lerōle le ka rarolloang. Re tšepa hore sechaba sa lipatlisiso tsa boleng ba moea se tla nka bothata bona. / Environmental Science / Ph. D. (Environmental Sciences)