5 methods of environmental monitoring
TRANSCRIPT
Bohdan Kříbek, Vladimír Majer, Ilja Knésl, Jan Pašava Czech Geological Survey, Klárov 3, 118 21 Prague 1, Czech Republic
e-mail: [email protected]
Vojtěch Ettler, Martin Mihaljevič Institute of Geochemistry, Mineralogy and Mineral Resources, Faculty of Science, Charles
University, Albertov 6, 128 43 Praha 2, Czech Republic
Ondra Sracek Department of Geology, Faculty of Science, Palacký University, 17. listopadu 12, 771 46
Olomouc, Czech Republic
Methods of environmental monitoring in mining areas: The Zambian Copperbelt Case Story
IGCP/SIDA 594 Training course, University of the Witwatersrand, Johannesburg, July 13-15, 2013
P ala ck y U niv e rs it yO lom o uc
IGCP/SIDA 594 Training course, University of the Witwatersrand, Johannesburg, July 13-15, 2013
One of the tools enabling to assess the effect of mining and mineral processing on the environment and human health is
environmental-geochemical monitoring
Regional environmental-geochemical mapping and monitoring involve in particular:
The localization and identification of the sources of contamination
The elucidation of the mode of contaminants spreading
The determination of areal extent and intensity of contamination
The estimation of harmful properties and biotoxicity of contaminants
The proposal for application of the most efficient methods to
improve land remediation and land-use planning
IGCP/SIDA 594 Training course, University of the Witwatersrand, Johannesburg, July 13-15, 2013
SOURCES OF ANTHROPOGENIC CONTAMINATION IN MINING AREAS
Industrial water discharged into the watercourse
Erosion and washout of fine-grained particles from spoil banks
and tailing impoundments (siltation)
Seepage and owerflow from tailing impoundments
Dust from mining operations, processing plants and slag deposits
Gaseous and solid emissions from smelters
Soils and Plants:
Surface Waters and Stream Sediments
Dust from dry parts of tailing impoundments
Transport of concentrate and products
IGCP/SIDA 594 Training course, University of the Witwatersrand, Johannesburg, July 13-15, 2013
ROUTES OF POLLUTANTS INTO ENVIRONMENT IN MINING DISTRICTS
Atmosphere
Hydrosphere
Terrestrialsystems
(soil, plants)
Mining operations
Vaste heaps
Vaste heaps
Ore crushing andgrinding
Thickeners Flotation
Tailings
Tailings
Roasting,Smelting
ReprocessedSlag
Chemicalrafination
Mine waterChemical weathering,Suspensionwash-out
Dust
Suspensionoverflow
Dust
Water andsuspensionsoverflow, seepage
Dust,SO2, NOx
Technologicalsolutions
Dust fallout
Winderosion
Runoff, Throughflow
Irrigation
River outflow
?
Legend:
Very important flow
Less important flow
Important flow
Inflow from non-contaminatedcatchements
Rootuptake
Throughflow
Stream flow Deep percolation
Decomposion
Mineralisation
Throughfall
Stem flow
Runoff
Dust fallout
Canopy deposition
Inflow from natural sources(forest fires, volcanoes)
Inflow from anthropogenic sourcesnot related to mining (road traffic)
Inflow from man-made sources(fertilizers, municipal sewage)
Dust
IGCP/SIDA 594 Training course, University of the Witwatersrand, Johannesburg, July 13-15, 2013
SOURCES OF ANTHROPOGENIC CONTAMINATION IN MINING AREAS - DUST
Sandstorm over a dry beach of the Mindolo impoundment, Copperbelt, Zambia, Zambia
Sandstorm over the Mufulira impoundment
Sandstorm over a dam of the Muntimpa impoundment, Zambia
IGCP/SIDA 594 Training course, University of the Witwatersrand, Johannesburg, July 13-15, 2013
SOURCES OF ANTHROPOGENIC CONTAMINATION IN MINING AREAS - SEEPAGE
Chambishi tailing pond seepage, Chambishi, Zambia
Muntimpa tailings pond seepage, Zambia
Chalcantite and gypsum precipitates,
the Uchi River, Kitwe, Zambia
IGCP/SIDA 594 Training course, University of the Witwatersrand, Johannesburg, July 13-15, 2013
SOURCES OF ANTHROPOGENIC CONTAMINATION IN MINING AREAS - SILTATION
Collapse of the Luanshya tailings dam, Copperbelt, Zambia
Siltation of the Chingola River, Chingola, Zambia
IGCP/SIDA 594 Training course, University of the Witwatersrand, Johannesburg, July 13-15, 2013
SOURCES OF ANTHROPOGENIC CONTAMINATION IN MINING AREAS – TECHNOLOGICAL WATERS FROM CHEMICAL LEACHING PLANTS
Chibuluma- South II Open Pit
Technological water from the Nkana Smelter and Processing Plant
Chambeshi River, whitish precipitates of carbonates and gypsum, efluents from the Chambishi Chemical Plant
IGCP/SIDA 594 Training course, University of the Witwatersrand, Johannesburg, July 13-15, 2013
BOX 1 Soil sampling
• Each soil sample is a composite of 3-5 sub-samples collected from sampling sites located at the distance of 10-20 m from each other. Soil samples may be collected from soil pits or using soil auger.
• Two different depth-related samples should be collected:
(1) A topsoil sample from the 0 to 25 cm depth (excluding material from the organic-rich
layers where present) and,
(2) lower soil (subsoil) sample from a 25 cm thick section within a depth range of 50-100 cm.
• Comparison of topsoil and subsoil data gives information about enrichment or depletion processes between soil layers.
• Topsoil and subsoil samples (0.5-1 kg) have to be dried on paper or plastic dishes and sieved using plastic sieving set equipped with nylon mesh (2 mm). The < 2mm fraction (50-100 g) is recommended to homogenize in agate ball mill to analytical fineness (< 0.063 mm)
• Recommended soil sampling density for local phase of survey: 1 – 10 samples for km2
• Recommended soil sampling density for detailed phase of survey: 10 – 100 samples for km2
IGCP/SIDA 594 Training course, University of the Witwatersrand, Johannesburg, July 13-15, 2013
SOIL SAMPLING
Sampling of subsurface soil with soil auger
Silty surface layer
Layer with high content of metals
Silty to clay-rich layerwith remnants of roots
Laterite
Soil profile
IGCP/SIDA 594 Training course, University of the Witwatersrand, Johannesburg, July 13-15, 2013
SOIL SAMPLING
0
5
10
15
20
25
30
35
40
0 10 20 30 40 50 60 70 80
Co - surface soil (ppm)
Co
- s
ub
su
rfa
ce
so
il (
pp
m)
1 : 1
Distribution of metals in soils
– Surface vs. sub-surface soil concept
Higher concentration of chemical element in sub-surface soil compa- red to its concentration in surface soil indicates its geogenic origin. This is typical for Cr, Ni and V.
Higher concentration of chemical element in surface soil compared to its concentration in sub-soil in- dicates an anthropogenic contami- nation. This is characteristic for As, Co, Pb, Zn, Hg and S.
Sub-surface soil
Surface soil
0
20
40
60
80
100
120
140
0 10 20 30 40 50
Cr - surface soil (ppm)
Cr
- s
ub
-su
rfa
ce
so
il (
pp
m)
Chromium
Surface soil
Sub-surface soil
Cobalt
Straight lines in graphs correspond to the Metal(surface soil) /Metal(sub-surface soil) concentration ratio=1
IGCP/SIDA 594 Training course, University of the Witwatersrand, Johannesburg, July 13-15, 2013
Geological sketch map of Zambian Copperbelt and the extent of the environmental-geochemical survey
GEOLOGICAL MAP OF ZAMBIA
Surveyed area
- 760 composite samples of surface soil - 264 samples of subsurface soils - 270 samples of stream sediments - 120 samples of surface waters - 60 special samples (slag, tailings, ochres)
Total area: 4700 km2
Mufulira
Chambishi
Kitwe
Kalulushi
Chibuluma
Nkana
Mindola
ChingolaNchanga
Chililabombwe
Konkola
25 km
13°15'
27°30'
12°15'
27°30' 29°
12°15'
13°15'
29°
N
Map Sheet 1228A3 NsatoMapped in 2004
Map Sheet 1228A4 MokamboMapped in 2004
Map Sheet 1228C1 Mufulira Mapped in 2002
Map Sheet 1228C3 KitweMapped in 2004
Map Sheet 1227B4 Chililabombwe Mapped in 2005
Map Sheet 1227D2 Chingola
Mapped in 2005
NDOLA
Map Sheet 1228C2Mufulira-EastMapped in 2006
ZAMBIA
D. R. CO
NG
O
Map Sheet 1228D2Ndola
Mapped in 2009
Map Sheet 1228C4Kitwe-EastMapped in 2006
Map Sheet 1228C41Bwana MkubwaPartly mapped in 2009
Luanshya
Map Sheet 1228C42LuanshyaPartly Mapped in 2010
Concentration of copper in surface soil, the Copperbelt Area, Zambia
Central-northern part of the Zambian
Copperbelt (Kitwe, Mufulira,
Chambishi, Chingola,
Chililabombwe
Mining Districts)
W ind velocity (m /s)
1.9 2.6
W IND ROSE
Zambia: Geochemical-environmental mapping in the Copperbelt Province
W ind velocity (m /s)
1.9 2.6
W IND ROSE
SURFACE SOIL (0-3 cm) SUBSURFACE SOIL (80-90 cm)
TOTAL SULFUR IN SOILS
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
W ind velocity (m /s)
1.9 2.6
W IND ROSE
ARSENIC IN SURFACE SOIL ARSENIC IN SUBSURFACE SOIL
ARSENIC IN SOILS
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
W ind velocity (m /s)
1.9 2.6
W IND ROSE
GEOLOGICAL MAP DIFERENCE: SURFACE TO SUBSURFACE SOIL
ARSENIC IN SOILS
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
W ind velocity (m /s)
1.9 2.6
W IND ROSE
COBALT IN SURFACE SOIL COBALT IN SUBSURFACE SOIL
COBALT IN SOILS
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
W ind velocity (m /s)
1.9 2.6
W IND ROSE
GEOLOGICAL MAP DIFERENCE: SURFACE TO SUBSURFACE SOIL
COBALT IN SOILS
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
MERCURY IN SOILS
MERCURY IN SURFACE SOIL MERCURY IN SUBSURFACE SOIL
W ind velocity (m /s)
1.9 2.6
W IND ROSE
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
GEOLOGICAL MAP
NICKEL IN SOILS
NICKEL IN SURFACE AND SUBSURFACE SOIL
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
COEFICIENT OF INDUSTRIAL POLLUTION (SURFACE SOIL)
Explanation:
Coeficient of Industrial Pollution
6
ZnPbHgCuCoAs m
Zn
m
Pb
m
Hg
m
Cu
m
Co
m
As
CIP
mX – value of the metal concentration
W ind velocity (m /s)
1.9 2.6
W IND ROSE
Close-up: Mufulira area
RESULTS OF THE ENVIRONMENTAL GEOCHEMICAL MAPPING
Factor analysis – trace elements in surface soils
Factor No. Factor Loading
Interpretation
Factor 1: Explains the
variability of Co, Cu, Ni, Pb, Zn Hg, Se As, and Stot
19.1% Contamination of soils by trace
elements transported by air in form of sulphide or sulfate particles from smelters, tailing ponds and mining operations
Factor 2: Explains the variability of Co, Cr, Ni, V, Zn and Fetot
22.7% This association reflects geochemical characteristics of soils and bedrock in the mapped region
(This factor not related to mining)
Factor 3: Explains the variability of Zn, Hg Stot and Corg
13.0 % This factor reflects geochemical characteristics (content of Corg Corg) in soils
(This factor is not related to mining)
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
FACTOR 1
FACTOR 2
RESULTS OF THE ENVIRONMENTAL GEOCHEMICAL MAPPING
Factor analysis – Maps of Factor Scores (topsoils)
Factor 1 - CONTAMINATION Factor 2 – SOIL AND BEDROCK CHEMISTRY
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
Sm all in te rstine
S tom ach
L ive r
O esophagus
O ra l cavitySo il con tam inan t ingestion
B ioaccessib le fraction
re leased from the so il (F )B
Fraction o f FB absorbed by
the sm a ll in te rstine (F )A
Fraction o f FA passing the live r
w ithou t be ing m etabo lized (F )H
O ra l b ioava ilab le fraction
reach ing system atic c ircu la tion (F )
F = F F FB A H* *
Total vs. gastric-available metals is surface soil
Total metal
(Aqua regia extraction) Gastric-available metal (extraction to glycine at pH 2.2, T= 38 oC). Extraction simulate solubility of metals in human stomach
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
Nkana Smelter Area Chingola Mining Area
Gastric-available lead
Gastic-available lead: 20% of TOTAL lead
Gastric-available lead: 80% of TOTAL lead
Lead in soils is more grastric-available in the smelter contaminated areas compared with mining areas
Total Pb/ Available Pb
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
Nkana Smelter Area Chingola Mining Area
Gastric-available arsenic
Gastric-available arsenic: 5% of TOTAL arsenic Gastric-available arsenic:
30% of TOTAL arsenic
Total As/ Available As
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
0,0
10,0
20,0
30,0
40,0
50,0
60,0
70,0
80,0
90,0
As Co Cu Fe Pb Zn
Chemical Element
% o
f to
tal
am
ou
nt
of
me
tal
.
Gastric-available metals
Dust from ore crushers
Dust from electric furnance
Dust from Pierce-Smith convertor
Mining area
Smelter area
30 m
30 m
30 m
BOX 2 Stream sediment sampling
• Stream sediment composite sample has to be prepared from sub-samples taken from 5 points along a 250-500 m length of the stream.
• From each sampling site, 1 kg of material (taken from the 0-25 cm depth) should be collected. Blended (composite) samples may be sieved on spot (wet sieving) or after drying of samples (dry sieving) in the field laboratory. For sieving, plastic sieve set equipped with nylon mesh (0.15 mm) has to be used to avoid contamination. The <0.15 fraction (50-100 g) is recommended to homogenize in agate ball mill to analytical fineness.
Note: Together with stream sediment samples, panned heavy mineral concentrates may be collected on selected sampling sites. The panned heavy mineral concentrates are an excellent resource for identifying drainage catchment mineralization as well as anthropogenic contamination.
Note: It is recommended to collect water samples (for sampling details see above) before collecting stream sediment samples on individual sampling sites.
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
Stream sediment sampling
CHILILABOMBWE
KAFUE
MUFULIRA
CHAMBISHI
KITWE
KALULUSHI
KAFU
E
Lu
be
ng
ele
Mus
his
ima
Musakashi
Mu
ful ir
a
Mwambashi
Mindolo
Mw
anshimba
Uchi
10 km
M02
M01M04
M05M03
M06
M07
M08M09
M10
M11M12
M13
M14M15
M16
M17
M18
CHINGOLA
SMELTER
TAILINGS DAM(ACTIVE/ABANDONED)
ACTIVE OPEN PIT
ACTIVE SHAFT
D.R. Congo
Zambia
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
Drying of stream sediment samples
Sieving of stream sediment samples
KAFUE MUFULIRACHAMBISHIKITWEKALULUSHI
KAFUE
Lubengele Musakashi Mufuli raMwambashiMindoloMwanshimba Uchi
M02M01 M04 M05 M06 M07M08M09 M10M11 M12M13 M14M15 M16M17M18
Uncontaminated Kafue Contaminated Kafue, Chigola
Contaminated Kafue
Contaminated Kafueoutflow from the Copperbelt
CHINGOLA
COEFICIENT OF INDUSTRIAL POLLUTION - STREAM SEDIMENTS
Explanation:
Coeficient of Industrial Contamination
6
ZnPbHgCuCoAs m
Zn
m
Pb
m
Hg
m
Cu
m
Co
m
As
CIP
mX – value of the metal concentration
Kafue
Kafue
Kafue
Uchi
Lwanshimba
Lubengele
Mushishima
Changa
Muntimpa
Mufulira
Musakashi
Chambeshi Mindolo
Kitwe
Busakile
Chibuluma
Stream sediments, Busakile River, Kitwe: - As: 1296 ppm - Co 3660 ppm - Cu 65 465 ppm - Hg 6.4 ppm - Mo 48 ppm - Ni 360 ppm - Pb 1370 ppm - Zn 3590 ppm - S tot 2.1 %
KAFUE MUFULIRACHAMBISHIKITWEKALULUSHI
KAFUE
Lubengele Musakashi Mufuli raMwambashiMindoloMwanshimba Uchi
M02M01 M04 M05 M06 M07M08M09 M10M11 M12M13 M14M15 M16M17M18
Uncontaminated Kafue Contaminated Kafue, Chigola
Contaminated Kafue
Contaminated Kafueoutflow from the Copperbelt
CHINGOLA
KAFUE
MUFULIRA
CHAMBISHI
KITWE
KALULUSHI
KAFU
E
Lub
enge
le
Musakashi
Mufu
li ra
Mwambashi
Mindolo
Mw
anshimba
Uchi
M02
M01M04
M05M06
M07
M08M09
M10
M11M12
M13
M14M15
M16
M17
M18
Uncontaminated Kafue Contaminated Kafue, Chigola
Contaminated Kafue
Contaminated Kafueoutflow from the Copperbelt
CHINGOLA
Results of sequential extractions show that compared with uncontaminated sediments, substanially higher amount of Cu, Co and Mn are bound to the acid-extractable fraction (exchangeable metals and carbonates)
Element
mg.kg-1
Uncontaminated Kafue
Kontaminated Kafue
Co 17-21 131-1174
Cu 115-161 1520-8837
Pb 4-13 21-54
As 0.14-0.57 1.9-7.4
Hg 0.02-0.03 0.03-0.14
Mn 103-133 395-2849
Contents of selected chemical elements in uncontaminated and contaminated
sediments of the Kafue River, Zambia
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
STREAM SEDIMENTS
SEQUENTIONAL EXTRACTIONS OF STREAM SEDIMENTS
KAFUE MUFULIRACHAMBISHIKITWEKALULUSHI
KAFUE
Lubengele Musakashi Mufuli raMwambashiMindoloMwanshimba Uchi
M02M01 M04 M05 M06 M07M08M09 M10M11 M12M13 M14M15 M16M17M18
Uncontaminated Kafue Contaminated Kafue, Chigola
Contaminated Kafue
Contaminated Kafueoutflow from the Copperbelt
CHINGOLA
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
STREAM SEDIMENTS
Comparison with the Canadian Guidelines for Sediments
Element (ppm)
ISQG PEL
As 5.9 (8.2%) 17.0 (2%)
Cd 0.6 (0%) 3.5 (0%)
Cr 37.3 (22.9%) 90 (2%)
Cu 35.7 (98.4%) 197 (55.7%)
Hg 0.17 (8.2%) 0.49 (0%)
Pb 35 (6.6%) 91.3 (2%)
Zn 123 (0%) 315 (0%)
Concentrations between ISQG and PEL represent the range in which adverse biological effects are occasionally observed
Concentrations above the PEL are expected to be frequently associated with adverse biological effects
Percentage of samples exceeding the ISQG and PEL values in the Zambian Copperbelt
KAFUE MUFULIRACHAMBISHIKITWEKALULUSHI
KAFUE
Lubengele Musakashi Mufuli raMwambashiMindoloMwanshimba Uchi
M02M01 M04 M05 M06 M07M08M09 M10M11 M12M13 M14M15 M16M17M18
Uncontaminated Kafue Contaminated Kafue, Chigola
Contaminated Kafue
Contaminated Kafueoutflow from the Copperbelt
CHINGOLA
Minerals identified in heavy fraction of uncontaminated and contaminated sediments of the Kafue River, Zambia
Uncontaminated
Kafue River
Contaminated
Kafue River
Ilmenite, hematite, hornblende,
clinochlorite, rutile, zircon,
dravite, apatite, quartz, albite, microcline
Hematite, chalcopyrite, pyrite, goethite, bornite, covelline, malachite, brochantite, pseudomalachite, hornmblende, muscovite, chlorite, clinozoisite, rutile, zircon, dravite, quartz, albite
CHILILABOMBWE
KAFUE
MUFULIRA
CHAMBISHI
KITWE
KALULUSHI
KAFUELu
be
ng
ele
Mus
hisi
ma
Musakashi
Mu
f ulir
a
Mwambashi
Mindolo
Mw
anshimba
Uchi
M02
M01M04
M05M03
M06
M07
M08M09
M10
M11M12
M13
M14M15
M16
M17
M18
Explanation
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
HEAVY MINERALS SURVEY,
KAFUE RIVER, COPPERBELT,
ZAMBIA
KAFUE MUFULIRACHAMBISHIKITWEKALULUSHI
KAFUE
Lubengele Musakashi Mufuli raMwambashiMindoloMwanshimba Uchi
M02M01 M04 M05 M06 M07M08M09 M10M11 M12M13 M14M15 M16M17M18
Uncontaminated Kafue Contaminated Kafue, Chigola
Contaminated Kafue
Contaminated Kafueoutflow from the Copperbelt
CHINGOLA
Cv
Hfo
Hfo (FeO, Al, Si, P)
A B C
Chcp
Chcp
Bn
Ti
Spi
Microphotographs of heavy minerals in contaminated Kafue River sediments. A: Rutile (Rt), bornite (Bn), covellite (Cv), limonite/goethite (Hfo). Mushishima River, Chingola Area. B: Limonite/goethite (Hfo) with copper metal (Cu). Kafue River, downstream of the Chingola Town. C: Limonite/goethite, (Hfo), limonite/goethite with admixture of Al, Si and P and grain of covellite (Cv), Mushishima River, Chingola Area. D: Limonite/goethite. Mushishima River, Chingola Area. E: Magnetite-rich slag particle (Gmt), rutile (Rt) and intermediate solid solution (ISS) particle with oxidation rims (SM). The Uchi River, Kitwe Area. F: Bornite (Bn), chalcopyrite (Chcp), titanite (Ti) and chacopyrite with a rim of secondary spionkopite (Spi). The Uchi River, Kitwe Area.
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
HEAVY MINERALS IN CONTAMINATED KAFUE RIVER, COPPERBELT, ZAMBIA
BOX 3 Stream water sampling
•Two sub-samples of stream water have to be collected from each site:
- unfiltered water for major anion analysis,
- filtered water for cation analysis.
• This two sub-samples can be supplemented with:
- unfiltered water sample for mercury analysis,
- filtered water sample for dissolved organic carbon (DOC) analysis.
• Trace elements-free polyethylene bottles have to be used for water sampling. Bottles have to be filled with distilled water acidified with 1.0 ml of concentrated HNO3 for at least one week before the sampling campaign.
• For filtering, 0,45- m disposable filters mounted on disposable syringes are recommended. Filtered water samples have to be acidified on the same day as sampling by the addition of 1.0 ml of super-pure concentrated HNO3 using a droplet bottle.
• A blank water sample has to be collected, filtered, and preserved in the same manner as the actual samples after every 20th sample.
• Electrical conductivity (EC) and pH and water temperature have to be measured in the field
and alkalinity has to be determined by titration in the field laboratory.
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
The pH values and concentration of chemical elements in uncontaminated and contaminated Kawue River water. The pH values and concentration of metals in surface water during acid spikes in the Lwanshimba and Chambeshi rivers (contaminated tributaries of Kafue) are given for comparison
Uncontamin. Kafue
(2006-2011)
Contaminated
Kafue
(2006-2011)
Acid spike
Lwanshimba
July7.2006
Acid spike
Chambeshi
July 7, 2006
Zambia limit efluent
water
EU limit
efluent water
pH 6.8-7.1 6.9-7.2 3.62 2.04 6-9 6-8
Al (ppb) 4-8 11-21 3.62 2115 2500 1500
As (ppb) < 0.5 < 0.5-2.9 6929 872
Cd (ppb) < 0.05 < 0.05-3.43 6.5 2.0 50 1
Co (ppb) < 0.05 10-30 2.0 29528 1000 10
Cu (ppb) 2.5-4.2 38-107 29528 16442 1500 30
Mn (ppb) 19-25 200-374 16442 466 1000 500
Pb (ppb) < 0.2 0.2-0.7 317 161 500 15
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
RESULTS: pH VALUES AND CONCENTRATIONS OF CHEMICAL ELEMENTS, the Kafue River
RESULTS OF THE ENVIRONMENTAL-GEOCHEMICAL MAPPING SURFACE WATER CHEMISTRY
Mushishima – Co, Cu, Mn
Musakashi – Mn
Muntimpa – Co, Mn
Chambeshi – Co, Cu, Mn, Pb, Mn, pH
Uchi – Co, Cu
Busakile – As, Co, Cu, Pb, pH
River water exceeding Czech and European Union effluent limits shown in red colour
BOX 4 Groundwater sampling
• In order to collect groundwater samples it is important to remove stagnant water of the well before collecting the sample. Many sampling practitioners collect samples after electrical conductivity (EC) of groundwater is stabilized. For water sampling, grab samplers (bailers) are recommended. They are portable, simple to use and relatively easy to clean.
• It is highly recommended to rinse bailer several times in the well water before taking sample. Groundwater samples have to be processed in the same way as surface water samples (unfiltered water sample and filtered and acidified water samples).
• Together with sampling, parameters such as geographic coordinates of the sampled well, sampling depth (water level), pH, temperature, electrical conductivity, oxidation-reduction (or redox) potential and dissolved oxygen have to be recorded. The alkalinity has to be determined in the field laboratory.
• Before transporting samples to analytical laboratory, samples should be kept at a temperature lower than that at which it was collected (cool box or fridge).
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
THE BWANA MKUBWA COPPER PROCESSING PLANT, COPPERBELT, ZAMBIA
MONITORING BOREHOLES
ive
VILLAGE
Monitoring of groundwater quality, The Bwana Mkubwa processing plant, Zambia
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
THE BWANA MKUBWA COPPER PROCESSING PLANT, COPPERBELT, ZAMBIA
Jan Feb Mar May Jun Jul
pH units 6.0 6.2 6.3 5.7 5.4 6.0
Electric conductivity 241 940 312 159 242 241.6
Total suspended
solids TSS)
13 15 10 85 15 28.3
Total dissolved solids
(TDS)
169 658 220 112 69 146
Dissolved copper < 0.01 0.31 < 0.01 < 0.01 0.05 < 0.01
Dissolved cobalt 0.3 < 0.01 < 0.01 < 0.01 < 0.01 < 0.01
Dissolved Iron < 0.01 < 0.01 < 0.01 0.29 0.09 0.3
Dissolved manganese 0.06 0.08 < 0.01 < 0.01 0.09 < 0.01
Borehole depth (m) 28.6 28.6 28.6 28.6 28.6 28.6
Water level fom
surface (m)
9.59 7.96 8.75 9.8 10.1 28.6
Well Volume (m3) 0.36 0.39 0.35 0.34 0.33 0.35
Bwana Mkubwa, Groundwater Monitoring Site BH 2A, East Side of the Tailing dam TD5A
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
THE BWANA MKUBWA COPPER PROCESSING PLANT, COPPERBELT, ZAMBIA
Jan Feb Mar May Jun Jul
pH units 6.2 6.2 5.3 4.1 4.4 4.4
Electric conductivity 4080 3308 3632 8205 7895 5383
Total suspended
solids TSS)
51 47 40 40 70 20
Total dissolved solids
(TDS)
2865 2320 2550 5778 5537 5383
Dissolved copper < 0.01 < 0.01 39.66 384.2 317 1.39
Dissolved cobalt 0.36 < 0.01 0.91 9.01 1.67 0.48
Dissolved iron 22.5 8.5 9.9 243.1 140.2 410.5
Dissolved manganese 30.5 26.2 23.3 544.0 171.3 281.9
Borehole depth (m) 9.25 9.25 9.25 9.25 9.25 9.25
Water level fom
surface (m)
4.86 3.98 3.9 4.89 5.43 5.55
Well volume (m3) 0.04 0.04 0.05 0.05 0.04 0.03
Bwana Mkubwa, Groundwater Monitoring Site BH 4 South-east Side of the Tailings Dam TD4
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
THE BWANA MKUBWA COPPER PROCESSING PLANT, COPPER CONCENTRATIONS
ive
VILLAGE
Explanation
Concentration below limit
Concentration higher than limit
Surface of the Bwana Mkubwa Tailings Pond
Eroded dam of the Bwana Mkubwa Tailings Pond
BOX 5 Sampling of plants
• In order to assess the content of chemical elements in plants it is recommend to sample especially agricultural products, for example: lettuce (leaves), giant rape (leaves), cassava (leaves and tubers), sweet potato (leaves and tubers), maize (grains), rice (grains ) and fodder (grass). Samples should be taken from several plants of the same species and from the same place. • When sampling leaves of bushes and trees samples should be taken around the whole of circumference of the crown. • The amount of collected plant material depends on the type of subsequent chemical analysis. For "wet" digestion, i.e. the decomposition of plant samples in a mixture of acids is required 1-5 g of dry sample, for more precise analyses of vegetation ash 15-30 g of dry plant tissues is needed. • Plant samples should be straight in the field spread on a nylon sieve and washed thoroughly several times with tap water. The used tap water should be sent for chemical analysis. Samples of tubers or bulbs must be peeled prior to washing.
• It is recommended to homogenize plant samples in agate ball mill to analytical fineness (< 0.063 mm) before sending them to analytical laboratories.
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
IGCP/SIDA 594 Training course, Johannesburg, July 13-15, 2013
Sampling of plants
•Maize - grains
•Cassava – leaves
•Cassava – roots
•Sweet potatoes – leaves
•Sweet potatoes – roots
•Lettuce
•Millet – grains
Together with agricultural product, soil
rhizosphere was sampled from the same point
Cassava field, Kitwe
Region, Zambiua
Cassava leaves sampling in
cooperation with owner
Soil rhizosphere sampling
It is recommend to sample especially agricultural products:
IGCP/SIDA 594 Training course, University of the Witwatersrand, Johannesburg, July 13-15, 2013
CONCLUSIONS
Environmental-geochemical mapping and monitoring allow geological surveys, the state administration, regional authorities and nonprofit organizations engaged in environmental protection to control effectively the obligations adopted by mining companies in the field of environmental protection
Regional departments for land-use planning may use the results of monitoring in their planning activities in contaminated areas, in urban planning, in meaningful industralization of rural areas
On the other hand, the mining companies may use the environmental-geochemical monitoring and its results to assess the efficiency of commitments made by them to protect the environment and to select priorities in remediation and reclamation works