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Enviromental mining impact on soils around the abandoned Kgwakgwe Manganese mine, Botswana.Ekosse, Ekosse Georges-Ivo January 2004 (has links)
Thesis (Ph.D)(Soil Mineralogy) --University of the North, 2004. / This research study focuses on environmental mining impact of soils around the
abandoned Kgwakgwe Mn mine in Botswana. The thesis contains five chapters:
introduction, methods and analytical techniques, results, interpretation and
discussions, and conclusions. The physico-chemical properties, mineralogical
identification and characterisation and chemical properties of soils and related
geological materials as well as the chemical properties of the soils and leaves of
plants around the abandoned mine were investigated in order to determine the
mining impact on the surrounding soils. It mentions field research components,
which included observation and sampling of surface soils, related geological
materials and leaves of plants for different laboratory analyses. Methods,
techniques and instrumentation for physico-chemical, mineralogical and chemical
analyses are explained. Physico-chemical properties studied on soil samples
included particle size distribution (PSD), pH, electrical conductivity (EC), soil
colour, and descriptive petrography. Identification of minerals contained in soil
samples which included both < 53 μm and < 4 μm size fractions were performed
employing X-ray powder diffraction (XRPD) techniques. The < 4 μm size
fractions of soil samples were further characterised using the environmental
scanning electron microscope (ESEM) to which was fitted with an X-ray energy
dispersive spectrometer (EDS). Chemical analyses for iron (Fe) and manganese
(Mn) concentration levels in soil and leaf samples were measured with the flame
atomic absorption spectrometer (FAAS). Determination of exchangeable bases
(Na, K, Ca and Mg), cation echange capacity (CEC) and percent base saturation,
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P, Cl, SO4 and CO3 concentrations were performed only on the soil samples. The
exchangeable bases, CEC and percent base saturation were determined using
the ammonium acetate method which included flame photometry for K and Na,
and AAS for Ca and Mg. The Olsen method was applied to determine P
concentrations. Furthermore analyses for Cl and SO4 were done using ion
chromatography, whereas the calcimeter was used to determine CO3
concentrations. A Quickbird 2.4 m – 2.8 m resolution with zero cloud cover
multispectral standard imagery of the study area was processed to characterise
the vegetation cover. The laboratory results were processed using Geographical
Information Systems (GIS), and Remote Sensing (RS) techniques with the
integrated Land and Water Information System (ILWIS), Geosoft Oasis Montaj
and ArcGIS software packages. Microsoft Excel was used for statistical and
graphical presentation of data analyses. The particle size distribution of soil
samples revealed the average wt % of the soil fractions as follows: the < 4 μm
fraction was between o.3 wt % and 30.58 wt %, and the < 53 μm fraction was
between 11.05 wt % and slightly above 100 wt %. Soil pH ranged from 2.92 to
7.26 with very acidic soils located close to the mine workings. Electrical
conductivity values were significantly low, and the range was from 49.1 μScm- 1
to 123.5 μScm- 1 . Dark brown to reddish brown soil colour was indicative of very
high Fe and Mn levels in the soils. Bulk soil samples consisted of quartz, SiO2;
haematite, Fe2O3; goethite, Fe+3O(OH); bixbyte, Mn2O3; braunite,
Mn+2Mn6
+3SiO12 ramsdellite, MnO2; pyrolusite, MnO2; cryptomelane,
K2-xMn8O16; sanidine, K(Si3Al)O8; microcline, KAlSi3O8; whereas the < 4 μm
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fraction was made up of kaolinite, Al2Si2O5(OH)4 illite, KAl2Si3AlO10(OH)2; and
muscovite KAl2Si3AlO10(OH)2. The range of concentration levels of Fe in soils
was from 1116 μg g-1 to 870766 μg g-1 with a mean of 17593 μg g-1 and for Mn in
soils was 35 μg g-1 to 24907 μg g-1 with a mean of 1088 μg g-1. The values for Na
concentration in the soil samples ranged from 0.1 cmolckg-1 to 89.1 cmolckg-1,
with a mean of 0.44 cmolckg-1, and for K concentration in the soil samples values
ranged from 0.1 cmolckg-1 to 163.6.1 cmolckg-1, with a mean of 0.82 cmolckg-1.
The values for Ca concentration in the soil samples ranged from 0.3 cmolckg-1 to
1139 cmolckg-1, with a mean of 5.68 cmolckg-1, and values for Mg concentration
in the soil samples ranged from 0.3 cmolckg-1 to 1655.3 cmolckg-1, with a mean of
8.26 cmolckg-1. The CEC values in the soil samples from the study area ranged
from 1.1 cmolckg-1 to 29.2 cmolckg-1, with a mean of 8.2 cmolckg-1, and values for
percent base saturation in the soil samples were from 33.77% to 100 % with a
mean of 82.10 % cmolckg-1. Values obtained for P2O5 in some randomly chosen
soil samples from the study area were from 0.51 mgkg-1 to 6.02 mgkg-1. The
values for Cl concentration in the soil samples ranged from 0.2 mgkg-1 to 11.9
mgkg-1, with a mean of 7.63 mgkg-1, and for SO4 concentration in the soil
samples values ranged from 2.1 mgkg-1 to 47.5 mgkg-1, with a mean of19.36
mgkg-1. The values for CO3 concentration (measured in terms of CaCO3
equivalent) in the soil samples ranged from 5.1 gkg-1 to 59.1 gkg-1, with a mean
of 40.98 gkg-1. For the leaves, the range of concentration levels of Fe contained
in them was from 101.2 μg g-1 to 3758 μg g-1 with a mean of 637 μg g-1 and for
Mn in leaves, the range was from 26.2 μg g-1 to 3611.5 μg g-1 with a mean of
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598.4 μg g-1. The TOC values were between 0 wt % to 7.9 wt %. High acidity of
soils is reflected by on-going neomineralisation activities which at some places
are depicted by the formation of dead zones. Other observable phenomena were
stunted growth of plants, and the yellowing of their leaves as a result of high
concentrations of Fe and Mn in their organic systems. The gridded soil and
vegetation maps for Fe and Mn show anomalies in different parts of the study
area. Where Mn is high, the Fe is low and vice versa. Manganese was high at
the mine workings and in the northwestern part of the study area. Iron on the
other hand is very low in the mine working area and is high on the northern part
of the study area. The mineral genesis is explained and a model is advanced for
the Mn interplay in the soils and environment around the Kgwakgwe abandoned
Mn oxides ore mine. Remediative measures for reclamation of the contaminated
soils and appropriate land use of the area have been suggested. It is anticipated
that these useful recommendations to stakeholders which have been suggested,
and the direction for further research if adhered could bring solution to some of
the environmental pollution problems in the study area.
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Use of 3-D visualisation tools in the EIA process : is it effective in enhancing public involvement? /Lung, Hon-kei, William. January 2005 (has links)
Thesis (M. Sc.)--University of Hong Kong, 2005.
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Planning and control for environmental policy : a study in PortugalPinho, Paulo Manuel Neto da Costa January 1985 (has links)
No description available.
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Farming, settlement and the environment in the Western Isles of Scotland c.800 A.D. to the present-dayEntwistle, J. A. January 1994 (has links)
No description available.
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A GIS-based heirarchical simulation model for assessing the impacts of large dam projectsMcDonnell, Rachael Andrea January 1994 (has links)
No description available.
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The utilization of EIA techniques in food and cash crop systems of BrazilSantos, James Pimentel January 1992 (has links)
No description available.
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Methods for measuring environmental disturbances affecting residents and pedestrians - a contribution to rail project appraisalHopkinson, P. G. January 1988 (has links)
No description available.
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Effective impact prediction: how accurate are predicted impacts in EIAs?Molefe, Noella Madalo January 2017 (has links)
A dissertation submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Master of Science. Johannesburg, 2017. / An Environmental Impact Assessment (EIA) is an instrument used to limit unexpected and
negative effects of proposed developments on the environment. Much experience has been gained
internationally but the lack of follow-up after the EIA is prepared is one of the major weak spots of the assessments. It is therefore very important to follow up on development projects and observe
their effects on the environment after the go-ahead has been given, so that the EIA quality may be improved. There is often a significant difference between predicted impacts and actual impacts.
Sometimes the predicted impacts do not occur, or new impacts which were not predicted in the
Environmental Impacts Assessment Reports (EIRs) arise. The aim of this study was to assess the
accuracy of the impacts predicted in the EIRs compiled for three large-scale Eskom projects currently
under execution situated in the Mpumalanga, Limpopo and KwaZulu-Natal provinces by comparing
them to the actual impacts that occurred on site. The EIA follow-up process was used to assess the
influence that the EIA may have on large-scale projects and ultimately assess the effectiveness of the
EIA process as a whole. A procedure developed by Wilson (1998) was used to follow up on the
selected projects because the method allowed for comparisons between the actual and predicted
impacts to be made and for discrepancies in the EIRs to be identified. Recent audit reports, aerial
photographs and interviews were all used to identify actual impact occurrence. Of the impacts which
actually occurred, 91% occurred as predicted (OP) and 9% occurred but were not predicted (ONP).
The majority of impacts omitted from the reports were hydrological (27%) and air quality impacts
(25%). These unexpected impacts were most probably overlooked because they are site-specific,
temporary in nature and would not cause any significant environmental damage. Of all the impacts
predicted in the reports, 85% were accurately predicted and 15% were not. The impacts inaccurately
predicted were hydrological impacts (27%), flora and fauna impacts (7%) and 30% other impacts
which included soil pollution, fires and loss of agricultural potential. The inaccuracies could be a
result of Environmental Impact Assessment Practitioners (EAPs) predicting a large number of
impacts with the hopes of lowering the risk of omitting impacts. However, sometimes the impacts
predicted do not occur in reality. Overall it can be concluded that the impact prediction accuracy of
the three EIRs compiled for Eskom exceeds previous studies conducted nationally. Eskom EIRs are
highly accurate with regards to impact prediction with minor discrepancies which can easily be
rectified.
Key words: Environmental Impacts Assessment (EIA) Environmental Impacts Assessment Reports
(EIRs), Environmental Impact Assessment Practitioners (EAPs), EIA follow-up, discrepancies. / LG2017
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Environmental impact assessmentJones, Charles Wingard January 2010 (has links)
Typescript, etc. / Digitized by Kansas Correctional Industries
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Environmental impact assessments and transport development in Hong Kong /Lung, Hon-kei, William. January 2001 (has links)
Thesis (M.A.)--University of Hong Kong, 2001. / Includes bibliographical references (leaves 67-72).
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