The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Estimate of Heavy Metal Contamination in Soils after a Mining Accident Using Reflectance Spectroscopy
Abstract
The possibility to adapt chemometrics approaches for the quantitative estimation of heavy metals in soils polluted by a mining accident was explored. In April 1998, the dam of a mine tailings pond in Aznalcóllar (Spain) collapsed and flooded an area of more than 4000 ha with pyritic sludge contaminated with high concentrations of heavy metals. Six months after the end of the first remediation campaign, soil samples were collected for chemical analysis and measurement of visible to near-infrared reflectance (0.35-2.4 microm). Concentrations for As, Cd, Cu, Fe, Hg, Pb, S, Sb, and Zn were well above background values. Prediction of heavy metals was achieved by stepwise multiple linear regression analysis (MLR) and an artificial neural network (ANN) approach. It was possible to predict six out of nine elements with high accuracy. Best R2 between predicted and chemically analyzed concentrations were As, 0.84; Fe, 0.72; Hg, 0.96; Pb, 0.95; S, 0.87; and Sb, 0.93. Results for Cd (0.51), Cu (0.43), and Zn (0.24) were not significant. MLR and ANN both achieved similar results. Correlation analysis revealed that most wavelengths important for prediction could be attributed to absorptions features of iron and iron oxides. These results indicate that it is feasible to predict heavy metals in soils contaminated by mining residuals using the rapid and cost-effective reflectance spectroscopy.
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Cited by
Visible and near infrared spectroscopy in soil science
Stenberg, B., Viscarra Rossel, R. A., Mouazen, A. M., & Wetterlind, J. (2010) · Advances in Agronomy · doi:10.1016/s0065-2113(10)07005-7 · Cited by 1,549
Remote sensing of ecosystem services: A systematic review
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Hyperspectral sensing of heavy metals in soil and vegetation: Feasibility and challenges
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Metadata
- Authors
- Kemper, T., & Sommer, S.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-05-10
- Volume
- 36
- Issue
- 12
- Pages
- 2742-2747
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2013290860
- Cited by
- 451
- References
- 14
- FWCI
- 3.76
- Type
- journal article
- Language
- en
- Open access
- closed
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