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Interpreting Geochemical Data
Interpreting Geochemical Data
• Interpretation is identifying three types of
p y g yp
concentrations: Background, Threshold and
Anomaly
• Effective interpretation of geochemical data
involves consideration of multiple population
of data
• Separation of anomalous samples from
background can be done by a number of
methods
1. Comparison with data from literature
– Good for small number of data
– Not reliable
– Only indication for follow‐up work
2. Graphical methods
– As histograms
As histograms
– As cumulative frequency curve
– Plotting values as a map
– Plotting values as a map
Two populations means the
samples are of two different types
or sources or …
In this case better to determine
mean & threshold for each
group
An approximate but
adequate method for
extracting the two
populations is to draw lines
p p
tangent to both tails of the
curve passing through points
equidistant from the pt of
equidistant from the pt of
inflexion
• How to construct cumulative frequency curve?
In log‐probability plot Mean BG=50%, Threshold=2.5%
3. Threshold can be calculated as mean plus 2
or 3 std
– This is good in reconnaissance survey for large
number of data and for normally distributed
population
– Here anomaly is mean plus 2std or 3std
– In this calculation only a small proportion of the
background populations are included
Important Definitions
Background – the normal abundance of an elt in
Background the normal abundance of an elt in
un‐mineralized earth material
– It varies from place to place & from material to
material
material
– It is thus a range rather than absolute value
Is generally taken as the 50% in log probability
– Is generally taken as the 50% in log probability
plot of cumulative frequency
Threshold – the concentration of an element
above which a sample is considered
anomalous
• C>Th… anomalous
• C<Th… background
• Thresholds can be:
– Regional threshold: related to the fluctuation of
g
regional background values
– Local threshold: related to extensive feeble
i li i di i d i li d
mineralization or dispersion around mineralized
body
Anomaly – is departure from the normal
Anomaly is departure from the normal
geochemical patterns of a given geochemical
environment
environment
• In the case of MEX, they represent
concentration of an element above the
concentration of an element above the
expected values in a given earth material
A li ld b
• Anomalies could be:
– True: if related to mineralization
– False: the opposite of the above
• False anomalies arise from one or more of the
following:
following:
1. High background source rock (e.g. Ni in
g g ( g
ultramafic rocks)
2. Contamination
– Mine dumps
– Old mine workings
– Smelting operations
– Metal rich agricultural chemicals
Industrial/domestic effluents
– Industrial/domestic effluents,
– Or sampling equipments, bags etc
3 Sampling errors
3. Sampling errors
4. Analytical errors which can be remedied by
repeated analysis
repeated analysis
• The places where true anomalies detected
and place of mineralization do not necessarily
and place of mineralization do not necessarily
coincide (e.g. stream sediment anomalies are
mainly transported anomalies)
mainly transported anomalies)
• Result: Generating targets for follow up
• Result: Generating targets for follow‐up
5-Interpretation.pdf

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5-Interpretation.pdf

  • 2. • Interpretation is identifying three types of p y g yp concentrations: Background, Threshold and Anomaly • Effective interpretation of geochemical data involves consideration of multiple population of data • Separation of anomalous samples from background can be done by a number of methods
  • 3. 1. Comparison with data from literature – Good for small number of data – Not reliable – Only indication for follow‐up work
  • 4. 2. Graphical methods – As histograms As histograms – As cumulative frequency curve – Plotting values as a map – Plotting values as a map
  • 5. Two populations means the samples are of two different types or sources or … In this case better to determine mean & threshold for each group An approximate but adequate method for extracting the two populations is to draw lines p p tangent to both tails of the curve passing through points equidistant from the pt of equidistant from the pt of inflexion
  • 6.
  • 7. • How to construct cumulative frequency curve?
  • 8. In log‐probability plot Mean BG=50%, Threshold=2.5%
  • 9. 3. Threshold can be calculated as mean plus 2 or 3 std – This is good in reconnaissance survey for large number of data and for normally distributed population – Here anomaly is mean plus 2std or 3std – In this calculation only a small proportion of the background populations are included
  • 10. Important Definitions Background – the normal abundance of an elt in Background the normal abundance of an elt in un‐mineralized earth material – It varies from place to place & from material to material material – It is thus a range rather than absolute value Is generally taken as the 50% in log probability – Is generally taken as the 50% in log probability plot of cumulative frequency
  • 11. Threshold – the concentration of an element above which a sample is considered anomalous • C>Th… anomalous • C<Th… background • Thresholds can be: – Regional threshold: related to the fluctuation of g regional background values – Local threshold: related to extensive feeble i li i di i d i li d mineralization or dispersion around mineralized body
  • 12.
  • 13. Anomaly – is departure from the normal Anomaly is departure from the normal geochemical patterns of a given geochemical environment environment • In the case of MEX, they represent concentration of an element above the concentration of an element above the expected values in a given earth material A li ld b • Anomalies could be: – True: if related to mineralization – False: the opposite of the above • False anomalies arise from one or more of the following: following:
  • 14. 1. High background source rock (e.g. Ni in g g ( g ultramafic rocks) 2. Contamination – Mine dumps – Old mine workings – Smelting operations – Metal rich agricultural chemicals Industrial/domestic effluents – Industrial/domestic effluents, – Or sampling equipments, bags etc 3 Sampling errors 3. Sampling errors 4. Analytical errors which can be remedied by repeated analysis repeated analysis
  • 15. • The places where true anomalies detected and place of mineralization do not necessarily and place of mineralization do not necessarily coincide (e.g. stream sediment anomalies are mainly transported anomalies) mainly transported anomalies) • Result: Generating targets for follow up • Result: Generating targets for follow‐up