The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Processes conducive to the release and transport of arsenic into aquifers of Bangladesh
Open accessAbstract
Arsenic is a contaminant in the groundwater of Holocene aquifers in Bangladesh, where ≈57 million people drink water with arsenic levels exceeding the limits set by the World Health Organization. Although arsenic is native to the sediments, the means by which it is released to groundwater remains unresolved. Contrary to the current paradigm, ferric (hydr)oxides appear to dominate the partitioning of arsenic in the near surface but have a limited impact at aquifer depths where wells extract groundwater with high arsenic concentrations. We present a sequence of evidence that, taken together, suggest that arsenic may be released in the near surface and then transported to depth. We establish that ( i ) the only portion of the sediment profile with conditions destabilizing to arsenic in our analysis is in the surface or near-surface environment; ( ii ) a consistent input of arsenic via sediment deposition exists; ( iii ) retardation of arsenic transport is limited in the aquifers; and ( iv ) groundwater recharge occurs at a rate sufficient to necessitate continued input of arsenic to maintain observed concentrations. Our analyses thus lead to the premise that arsenic is liberated in surface and near-surface sediments through cyclic redox conditions and is subsequently transported to well depth. Influx of sediment and redox cycling provide a long-term source of arsenic that when liberated in the near surface is only weakly partitioned onto sediments deeper in the profile and is transported through aquifers by groundwater recharge.
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
Role of metal-reducing bacteria in arsenic release from Bengal delta sediments
Islam, F. S., Gault, A. G., Boothman, C., Polya, D. A., Charnock, J. M., Chatterjee, D., & Lloyd, J. R. (2004) · Nature · doi:10.1038/nature02638 · Cited by 1,241
Mineralogical and geomicrobiological investigations on groundwater arsenic enrichment in Bangladesh
Akai, J., Izumi, K., Fukuhara, H., Masuda, H., Nakano, S., Yoshimura, T., Ohfuji, H., Md Anawar, H., & Akai, K. (2004) · Applied Geochemistry · doi:10.1016/j.apgeochem.2003.09.008 · Cited by 253
Lovley, D. R., & Anderson, R. T. (2000) · Hydrogeology Journal · doi:10.1007/pl00010974 · Cited by 183
Cited by
Biogeochemical Redox Processes and their Impact on Contaminant Dynamics
Borch, T., Kretzschmar, R., Kappler, A., Cappellen, P. V., Ginder-Vogel, M., Voegelin, A., & Campbell, K. (2010) · Environmental Science & Technology · doi:10.1021/es9026248 · Cited by 1,456
Near-surface wetland sediments as a source of arsenic release to ground water in Asia
Polizzotto, M. L., Kocar, B. D., Benner, S. G., Sampson, M., & Fendorf, S. (2008) · Nature · doi:10.1038/nature07093 · Cited by 574
Self-citationEnsuring Safe Drinking Water in Bangladesh
Ahmed, M. F., Ahuja, S., Alauddin, M., Hug, S. J., Lloyd, J. R., Pfaff, A., Pichler, T., Saltikov, C., Stute, M., & van Geen, A. (2006) · Science · doi:10.1126/science.1133146 · Cited by 298
Tufano, K. J., Reyes, C., Saltikov, C. W., & Fendorf, S. (2008) · Environmental Science & Technology · doi:10.1021/es801059s · Cited by 261
Self-citationSimultaneous inner- and outer-sphere arsenate adsorption on corundum and hematite
Catalano, J. G., Park, C., Fenter, P., & Zhang, Z. (2008) · Geochimica et Cosmochimica Acta · doi:10.1016/j.gca.2008.02.013 · Cited by 245
Metadata
- Authors
- Polizzotto, M. L., Harvey, C. F., Sutton, S. R., & Fendorf, S.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2005-12-15
- Volume
- 102
- Issue
- 52
- Pages
- 18819-18823
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2084738766
- Cited by
- 211
- References
- 3
- FWCI
- 10.31
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Processes conducive to the release and transport of arsenic into aquifers of Bangladesh. https://app.cochat.ai/papers/10.1073/pnas.0509539103
- The paper
- Polizzotto, M. L., Harvey, C. F., Sutton, S. R., & Fendorf, S. (2005). Processes conducive to the release and transport of arsenic into aquifers of Bangladesh. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0509539103
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.