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- Title
Combining GIS and stochastic simulation to estimate spatial patterns of variation for lead at the Lousal mine, Portugal.
- Authors
A. P. Reis; E. Ferreira Da Silva; A. J. Sousa; J. Matos; C. Patinha; J. Abenta; E. Cardoso Fonseca
- Abstract
Lousal is one of the many massive sulphide deposits of the Iberian Pyrite Belt. The mine is closed at present, but the heavy metal enriched tailings remain at the surface in the open air. Applying geostatistics to the diagnosis of this potentially contaminated site we aim to assess the quality of the soil. The uncertainty attached to the unknown concentrations of the contaminant was first modelled by a non‐parametric predictor (indicator kriging), and then taken into account in the prediction of the concentrations at unsampled locations by a method of stochastic simulation (p‐field simulation). At each grid node, the N simulated values resulting from the N equi‐probable simulations were transformed into probabilities of exceeding a regulatory threshold, which allowed assessment of the quality of the soil. The probability maps were then used to identify contaminated areas within the mining field. Copyright © 2005 John Wiley & Sons, Ltd.
- Subjects
SULFIDE minerals; HEAVY metals; GEOLOGICAL statistics; SOIL quality
- Publication
Land Degradation & Development, 2005, Vol 16, Issue 2, p229
- ISSN
1085-3278
- Publication type
Article
- DOI
10.1002/ldr.662