The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Intrinsic Flaws of Element Enrichment Factors (EFs) in Environmental Geochemistry
Abstract
The popular concept of enrichment factors (EFs) as a means of identifying and quantifying human interference with global element cycles is evaluated. It is demonstrated that the concept of normalizing element concentrations to an average total crust value is of doubtful merit, for theoretical considerations alone. Serious flaws with EFs include the variable composition of the Earth's crust at any given point compared to the global average, the natural fractionation of elements during their transfer from the crust to the atmosphere through processes such as weathering and winnowing of fines, and the differential solubility of minerals in the weak chemical digestions generally used in environmental studies. Furthermore the impact of biogeochemical processes is neglected. A biomonitoring survey of atmospheric chemistry over a 1.5 million km 2 area in northern Europe is used to show that EFs are governed here by completely different processes than anthropogenic activities. As a simple means to assess the maximum possible interference of human activities with global element reservoirs, the mining interference factor (MIF = (total tonnage mined annually/total tonnage in upper 2 km of crust) × 100%) is introduced. The elements C ≫ Br > Cu > Sb ≫ Ag > Cd > Pb show the highest MIFs, while Ga, Cs, Ge, K, In, I, and Rb show very low MIFs. We recommend indiscriminate usage of EFs in the scientific literature be abandoned and more large-scale surveys be supported internationally to collect quality, statistically significant environmental data. Only thus can human interference with natural biogeochemical cycles be properly documented.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The geochemical evolution of the continental crust
Taylor, S. R., & McLennan, S. M. (1995) · Reviews of Geophysics · doi:10.1029/95rg00262 · Cited by 4,643
Saxena, S. K., & Fei, Y. (1988) · Geochimica et Cosmochimica Acta · doi:10.1016/0016-7037(88)90314-6 · Cited by 1,758
Arsenic in the geosphere — a review
Matschullat, J. (2000) · Science of The Total Environment · doi:10.1016/s0048-9697(99)00524-0 · Cited by 891
Atmospheric Concentrations and Sources of Trace Metals at the South Pole
Zoller, W. H., Gladney, E. S., & Duce, R. A. (1974) · Science · doi:10.1126/science.183.4121.198 · Cited by 733
Chemical Elements in the Environment: Factsheets for the Geochemist and Environmental Scientist
Reimann, C., & de Caritat, P. (2012) · Medical Entomology and Zoology · Cited by 530
Self-citationAtmospheric trace metals: global cycles and assessment of man's impact
Lantzy, R. J., & Mackenzie, F. T. (1979) · Geochimica et Cosmochimica Acta · doi:10.1016/0016-7037(79)90162-5 · Cited by 498
Weiss, D., Shotyk, W., Appleby, P. G., Kramers, J. D., & Cheburkin, A. K. (1999) · Environmental Science & Technology · doi:10.1021/es980882q · Cited by 308
Shotyk, W. (1996) · Environmental Reviews · doi:10.1139/a96-010 · Cited by 251
Environmental Geochemical Atlas of the Central Barents Region
Clemens Reimann, C., Äyräs, M., & Chekushin, V. (1998) · Cited by 222
Cited by
Urban environmental geochemistry of trace metals
Wong, C. S. C., Li, X., & Thornton, I. (2006) · Environmental Pollution · doi:10.1016/j.envpol.2005.09.004 · Cited by 600
Receptor modeling application framework for particle source apportionment
Watson, J. G., Zhu, T., Chow, J. C., Engelbrecht, J., Fujita, E. M., & Wilson, W. E. (2002) · Chemosphere · doi:10.1016/s0045-6535(02)00243-6 · Cited by 299
Reimann, C., & de Caritat, P. (2017) · Science of The Total Environment · doi:10.1016/j.scitotenv.2016.11.010 · Cited by 266
Self-citationAtmospheric deposition of soluble trace elements along the Atlantic Meridional Transect (AMT)
Baker, A. R., & Jickells, T. D. (2017) · Progress in Oceanography · doi:10.1016/j.pocean.2016.10.002 · Cited by 79
Assessing the Anthropocene with geochemical methods
Gałuszka, A., Migaszewski, Z. M., & Zalasiewicz, J. (2014) · Geological Society, London, Special Publications · doi:10.1144/sp395.5 · Cited by 66
Metadata
- Authors
- Reimann, C., & Caritat, P. D.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2000-11-14
- Volume
- 34
- Issue
- 24
- Pages
- 5084-5091
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2055314924
- Cited by
- 554
- References
- 9
- FWCI
- 6.31
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.