EIA-REP-325d-12 _BB_ - 201.09.14.pdf - SAHRA

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8.1.8 Demographics Given the location of the study area in Mpumalanga Province, South Africa, the section commences with a brief overview of the socio-economic values and indicators of this Province. This provides a means of assessing and comparing the Greater Ermelo area within the context of Mpumalanga Province. Mpumalanga with its capital Bombela (Nelspruit), occupies 6,4% of the surface area of South Africa. Approximately 3,3 million people or 8,2% of the population of South Africa is resident in this province. Manufacturing, mining, electricity generation, tourism, agriculture and forestry support its fairly diverse economy. The GGP of approximately R28 billion (1993) or 8.1% of South Africa’s GGP. During the period 1980 – 1991, the province experienced an economic growth rate of 4,4% per annum despite depressed economic conditions in South Africa. This figure is well in excess of the 1,3% for South Africa as a whole for the same period. However, the socio-economic conditions and quality of life in some of the more densely populated areas of the province remains a cause of concern. Mpumalanga recorded an economic growth rate of 2,1% during 2003, as compared to a growth rate of 2,6% in 2002. In 2003, the largest industries in the economy were the manufacturing industry (18,9%) and in mining and quarrying industry (18,0%) in terms of their contribution to the GDP at market prices of Mpumalanga. Table 14: Age and greater composition of the Ermelo Magisterial District (1980 – 1991) EIA-REP-325d-11 October 2012 STATISTICS 1980 1991 2005 Total population 126 535 140 015 124 819 0 – 14 years 44 760 42 865 43 558 15 – 64 years 77 770 92 591 76 162 65+ 4 005 4 559 5 099 Males 71 990 76 711 60 19 0 – 14 years 22 200 21 790 21 687 15 – 64 years 47 816 52 928 36 447 65+ 1 974 1 993 1 984 Females 54 546 63 304 64 700 0 – 14 years 55 560 21 075 21 871 15 – 64 years 29 954 39 663 39 715 65+ 2 032 2 566 3 114 From Table 14: Age and greater composition of the Ermelo Magisterial District (1980 – 1991) it is evident that the population in the Greater Ermelo area is on the decline. This can be attributed to the current diseases that are currently ravaging mankind. However, employment opportunities should be created and change in lifestyle of the population at large should be encouraged in order to obviate the current situation. The population density for Mpumalanga Province is 37,5 persons per km 2 . This is high when compared to the population density of South Africa (31 persons per km 2 ). Statistics for urban and non-urban population determined in 1991, indicate a 5% increase in urban population and a 20% decrease in non-urban population, over a 10 year period. 87
The major economic activities and sources of employment are indicated in Table 15: Formal employment by economic sector for 1994 for the Ermelo Magisterial District. Table 15: Formal employment by economic sector for 1994 for the Ermelo Magisterial District EIA-REP-325d-11 October 2012 SECTOR 1994 2005 NUMBER % NUMBER % Agriculture, forestry and fishing 6 177 13.9 7 190 30.9 Mining and quarrying 10 636 23.9 1 918 8.2 Manufacturing 6353 14.3 2 183 9.4 Electricity and water 4 090 9.2 241 1.0 Construction 1 196 2.7 959 4.1 Trade and catering 3 681 8.3 3 693 15.9 Transport and communication 1 102 2.5 1 458 6.3 Finance and real estate 774 1.7 1 459 6.3 Services 10 535 23.7 4 168 17.9 TOTAL 44 544 100 23 269 100 The unemployment estimate for the Ermelo Magisterial District is indicated in Table 16: Labour statistics for the Ermelo Magisterial District Table 16: Labour statistics for the Ermelo Magisterial District STATISTICS 1980 1991 2005 Participation rate 72,3 70,8 54,6 Unemployment rate 3,9 11 33 Dependency rate Total 1,3 1,1 0,9 Youth (< 1 to 14 years) 0,8 0,7 0,6 Persons not active (15 – 64 years) 0,4 0,4 0,3 Aged (65+) 0,1 0,1 0,1 88
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November 2012 VUNENE COLLIERY (PTY)
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Photograph of site: EIA-REP-325d-11
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town of Ermelo. The area falls unde
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Figure 1: The Regulation 2(2) map o
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Figure 3: Cross section 2 from west
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There are increased demands for coa
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• All pillars in the panel are un
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• Potential reduction in crime be
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PUBLIC PARTICIPATION PROCESS A comp
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The Scoping exercise concluded that
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effect on the environment will be m
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• Choose an appropriate lining to
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were caused by extensive anthropolo
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Land capability Assessment Accordin
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EIA-REP-325d-11 October 2012 1 CONT
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10.4.1.2 DURATION .................
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Table 33: Assessment of the possibl
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PHRA - Provincial Heritage Resource
Page 37 and 38: The "Equator Principles": A financi
Page 39 and 40: INTRODUCTION Environmental Assuranc
Page 41 and 42: iii) The undertaking of a linear ac
Page 43 and 44: Due to the nature of the existing e
Page 45 and 46: The typical sequence of mining will
Page 47 and 48: Sub-surface erosions (Potholes): Po
Page 49 and 50: • Characterise the topsoil and re
Page 51 and 52: 3.4 Storage of ore The Run of Mine
Page 53 and 54: • Development must be sustainable
Page 55 and 56: Item 13: The clearance of an area o
Page 57 and 58: If a Phase 1 report finds that cert
Page 59 and 60: aims to achieve a desirable balance
Page 61 and 62: precautionary measures contemplated
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Page 65 and 66: 7.3.2 Electricity Numerous main dis
Page 67 and 68: The water management will be undert
Page 69 and 70: No housing facilities will be provi
Page 71 and 72: Figure 7: Mining layout plan for op
Page 73 and 74: the present day erosional surface h
Page 75 and 76: Table 7: The Usutu opencast extract
Page 77 and 78: Figure 8: Witpuntspruit catchment a
Page 79 and 80: Figure 9: Tertiary and quaternary d
Page 81 and 82: HGM units encompass three key eleme
Page 83 and 84: Thunderstorms occurring frequently
Page 85 and 86: Table 12: Mean monthly evaporation
Page 87: Taphozous mauritianus Tomb Bat Witl
Page 91 and 92: 8.1.10 Heritage Resources Based on
Page 93 and 94: Dust suppression Dust suppression m
Page 95 and 96: EIA-REP-325d-11 October 2012 Enviro
Page 97 and 98: from Interested and Affected Partie
Page 99 and 100: In addition, the Draft Scoping Repo
Page 101 and 102: their properties and how the mining
Page 103 and 104: • Determination of Significance -
Page 105 and 106: The impact will be relevant through
Page 107 and 108: 10.4.1.7 Determination of significa
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Page 111 and 112: location is the most suitable due t
Page 113 and 114: 11.6.2 Contour Mining The contour m
Page 115 and 116: Figure 14: Underground coal mining
Page 117 and 118: 12.3 Pollution control dam design r
Page 119 and 120: sensitive to flow and habitat modif
Page 121 and 122: for the project. Shift changes time
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Page 125 and 126: Source of impact Seepage from the s
Page 127 and 128: Description of impact: Construction
Page 129 and 130: Source of impact: Mining activities
Page 131 and 132: • Dust Deposition The predicted m
Page 133 and 134: • Construction vehicles should re
Page 135 and 136: Destruction of faunal habitat and t
Page 137 and 138: Significance With Mitigation (WM) E
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• All construction areas should b
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• Affected communities must be no
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• Dust from heavy vehicles; • O
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• The illumination of Vunene Coll
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Erosion may be accelerated where wa
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areas can also transfer pollutants
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• Stockpiles can be used as a bar
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Weighting factor (WF) Mitigation Ef
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The impact is considered to have a
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Significance of impact: The transpo
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Mitigation measures • The areas c
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Description of impact: The most sen
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EIA-REP-325d-11 October 2012 15. AU
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• The cumulative impact on wetlan
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• Labour guidelines should be dra
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Surface water impacts: Surface wate
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• Number of human inhabitants loc
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Table 43: Land capability classes o
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