The DOI matches its Crossref record.
Uranium and other heavy toxic elements distribution in the drinking water samples of SW-Punjab, India
Open accessAbstract
In the present investigations, Laser Fluorimetry technique has been used for the microanalysis of uranium content in drinking water samples collected from different sources like the hand pumps, tube wells of various depths from wide range of locations in the four districts of SW-Punjab, India. The purpose of this study was to investigate the uranium concentration levels of ground water being used for drinking purposes and to determine its health effects, if any, to the local population of this region. Corresponding radiological and chemical risks have also been calculated for the uranium concentrations in ground water samples. Some other heavy elements have also been analysed using the Atomic Absorption Spectrometry. In this region, uranium concentration in 498 drinking water samples has been found to vary between 0.5–579 μgl−1with an average of 73.5 μgl−1. Data analysis revealed that 338 of 498 samples had uranium concentration higher than recommended safe limit of 30 μgl−1 (WHO, 2011) while 216 samples exceeded the threshold of 60 μgl−1 recommended by AERB, DAE, India, 2004.
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
Cited by
Alidadi, H., Tavakoly Sany, S. B., Zarif Garaati Oftadeh, B., Mohamad, T., Shamszade, H., & Fakhari, M. (2019) · Environmental Health and Preventive Medicine · doi:10.1186/s12199-019-0812-x · Cited by 281
Abidli, A., Huang, Y., Ben Rejeb, Z., Zaoui, A., & Park, C. B. (2022) · Chemosphere · doi:10.1016/j.chemosphere.2021.133102 · Cited by 194
Metadata
- Authors
- Bajwa, B. S., Kumar, S., Singh, S., Sahoo, S. K., & Tripathi, R. M.
- Venue
- Journal of Radiation Research and Applied Sciences
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 10
- Issue
- 1
- Pages
- 13-19
- ISSN
- 1687-8507 (ISSN-L)
- OpenAlex
- W2078262068
- Cited by
- 206
- References
- 0
- FWCI
- 20.86
- Type
- journal article
- Language
- en
- Open access
- gold
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: Uranium and other heavy toxic elements distribution in the drinking water samples of SW-Punjab, India. https://app.cochat.ai/papers/10.1016/j.jrras.2015.01.002
- The paper
- Bajwa, B. S., Kumar, S., Singh, S., Sahoo, S. K., & Tripathi, R. M. (2017). Uranium and other heavy toxic elements distribution in the drinking water samples of SW-Punjab, India. Journal of Radiation Research and Applied Sciences. https://doi.org/10.1016/j.jrras.2015.01.002
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.