Lead 210 Sediment Dating

Evaluate unsupported Pb-210 constant-rate-of-supply inventory chronology and covariance-aware first-order age uncertainty; supply decay constant, supported-activity correction and complete inventory externally.

Description

Unsupported lead-210 inventory can date sediment under the constant-rate-of-supply model.

Unsupported lead-210 inventory can date sediment under the constant-rate-of-supply model. The fraction of inventory remaining below a depth determines its age relative to the sediment surface.1

The tool returns crsAgeYears, approximateAgeStandardErrorYears. The computation uses supplied observations and parameters rather than acquiring measurements.

When to use Lead 210 Sediment Dating

Use this for the following task: Evaluate unsupported Pb-210 constant-rate-of-supply inventory chronology and covariance-aware first-order age uncertainty; supply decay constant, supported-activity correction and complete inventory externally. Prepare observations and calibration parameters on the same unit and reporting basis.

How to use Lead 210 Sediment Dating and understand its results

  1. Prepare the measured quantities and supplied model parameters. Match the units and align paired lists before calculating.
  2. Enter totalUnsupportedInventory, unsupportedInventoryBelowDepth, decayConstantPerYear, totalInventoryVariance, remainingInventoryVariance, inventoryCovariance according to the field table, then run the tool.
  3. Read crsAgeYears, approximateAgeStandardErrorYears. Use the calculation below to interpret the selected mean or the model’s signs, units and comparison flags.
  4. Review the supplied assumptions and calibration before comparing or reporting the result.
Input fieldMeaningValue type and boundsRequirement
totalUnsupportedInventoryTotal unsupported inventorynumberRequired
unsupportedInventoryBelowDepthUnsupported inventory below depthnumberRequired
decayConstantPerYearDecay constant per yearnumberRequired
totalInventoryVarianceTotal inventory variancenumberRequired
remainingInventoryVarianceRemaining inventory variancenumberRequired
inventoryCovarianceInventory covariancenumberRequired

Supply positive inventories with remaining≤total and a positive annual decay constant. Use nonnegative variances and covariance satisfying covariance²≤varTotal×varRemaining.

age=ln(total/remaining)/decayConstant; SE=sqrt(max(0,varTotal/total²+varRemaining/remaining²−2×covariance/(total×remaining)))/decayConstant

The symbols and boundary conditions refer to the supplied fields and the implementation described above.

Output fieldMeaningValue type
crsAgeYearsCrs age yearsnumber
approximateAgeStandardErrorYearsApproximate age standard error yearsnumber
json
{
  "input": {
    "totalUnsupportedInventory": 100,
    "unsupportedInventoryBelowDepth": 25,
    "decayConstantPerYear": 0.03465735902799726,
    "totalInventoryVariance": 4,
    "remainingInventoryVariance": 1,
    "inventoryCovariance": 0
  },
  "output": {
    "crsAgeYears": 40,
    "approximateAgeStandardErrorYears": 1.2903856728918244
  }
}

Limitations and assumptions

The uncertainty is a first-order approximation. Supported-activity correction, complete inventory and CRS applicability must be established externally; the tool does not infer a decay constant or correct mixing and disturbed sediments.

Numerical inputs must be finite. Input-shape and calculation checks do not establish measurement quality or the validity of a supplied calibration.

Alternative or Complementary methods

Choose Hypsographic Curve Integration when you need its operation: Integrate observed hypsographic area-depth contours into a cumulative volume curve with trapezoids; contour geometry is supplied and only the measured depth range is represented. Choose Areal Hypolimnetic Oxygen Depletion for the complementary operation: Fit net hypolimnetic oxygen-inventory depletion and normalize by area; negative depletion records replenishment, and changing hypolimnetic boundaries or advective supply require separate correction.

Background reference: Bayesian analysis of 210Pb dating: CRS model background.

References

  1. Bayesian analysis of 210Pb dating: CRS model background — Aquino-López and colleagues; arXiv

Similar or alternative tools

  • Hypsographic Curve Integration

    Integrate observed hypsographic area-depth contours into a cumulative volume curve with trapezoids; contour geometry is supplied and only the measured depth range is represented.

  • Areal Hypolimnetic Oxygen Depletion

    Fit net hypolimnetic oxygen-inventory depletion and normalize by area; negative depletion records replenishment, and changing hypolimnetic boundaries or advective supply require separate correction.

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