The DOI matches its Crossref record; 119 of the 119 references it cites were found in a registry or an index.
Potential of integrated field spectroscopy and spatial analysis for enhanced assessment of soil contamination: A prospective review
Open accessAbstract
There are tens of millions of contaminated soil sites in the world, and with an increasing population and associated risk there is a growing pressure to remediate them. A barrier to remediation is the lack of cost-effective approaches to assessment. Soil contaminants include a wide range of natural and synthetic metallic and organic compounds and minerals thus making analytical costs potentially very large. Further, soil contaminants show a large degree of spatial variation which increases the burden on sampling costs. This paper reviews potentially cost-effective methods for measurement, sampling design, and assessment. Current tiered investigation approaches and sampling strategies can be improved by using new technologies such as proximal sensing. Design of sampling can be aided by on-the-go proximal soil sensing; and expedited by subsequent adaptive spatially optimal sampling and prediction procedures enabled by field spectroscopic methods and advanced geostatistics. Field deployment of portable Visible & Near Infrared [wavelength 400–2500 nm] (Vis-NIR) and X-ray fluorescence (PXRF) spectroscopies will require special calibration approaches but show huge potential for synergistic use. The use of mid-infrared spectroscopy [wavelength 2500–25,000 nm, wavenumber 4000–400 cm− 1] (MIR) for field implementation requires further adaptive research. We propose an integrated field-deployable methodology as a basis for further developments.
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Cited by
Hu, B., Jia, X., Hu, J., Xu, D., Xia, F., & Li, Y. (2017) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph14091042 · Cited by 455
Phytoremediation of contaminated soils by heavy metals and PAHs. A brief review
Cristaldi, A., Conti, G. O., Jho, E. H., Zuccarello, P., Grasso, A., Copat, C., & Ferrante, M. (2017) · Environmental Technology & Innovation · doi:10.1016/j.eti.2017.08.002 · Cited by 435
Soil and environmental issues in sandy soils
Huang, J., & Hartemink, A. E. (2020) · Earth-Science Reviews · doi:10.1016/j.earscirev.2020.103295 · Cited by 420
Soil sensing: A new paradigm for agriculture
Viscarra Rossel, R. A., & Bouma, J. (2016) · Agricultural Systems · doi:10.1016/j.agsy.2016.07.001 · Cited by 230
Novel proximal sensing for monitoring soil organic C stocks and condition
Viscarra Rossel, R. A., Lobsey, C. R., Sharman, C., Flick, P., & McLachlan, G. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b00889 · Cited by 116
Metadata
- Authors
- Horta, A., Malone, B., Stockmann, U., Minasny, B., Bishop, T. F. A., McBratney, A. B., Pallasser, R., & Pozza, L.
- Venue
- Geoderma
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 241-242
- Pages
- 180-209
- ISSN
- 0016-7061 (ISSN-L)
- OpenAlex
- W1992117527
- Cited by
- 306
- References
- 119
- FWCI
- 14.87
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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