The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Deterministic and probabilistic health risk assessment techniques to evaluate non-carcinogenic human health risk (NHHR) due to fluoride and nitrate in groundwater of Panipat, Haryana, India
Abstract
Human interferences have caused groundwater contamination in alluvial aquifers which subsequently affects the health of exposed population. In the present study, 74 groundwater samples from the semi-arid region of Panipat district, falling under Yamuna sub-basin, India was evaluated to know the potential non-carcinogenic human health risk in local adult and child population. The major objective of the present study was to know the non-carcinogenic human health risk due to intake of fluoride and nitrate contaminated water, using two different approaches: deterministic and probabilistic (Monte Carlo simulation). The values of hazard quotient (HQ) determined by deterministic as well as probabilistic approach were nearly identical. The hazard index (HI) value of 40.8% samples was above the unity in case of adults while 69.7% samples indicated HI value greater than unity for children thus indicating children are more prone to non-carcinogenic health risk than the adult population. Sensitivity analysis was performed to identify the influence of the non-carcinogenic human health risk predictor variables for the prediction of risk and concentration factor (CF) was the most influential variable. Multivariate statistical techniques were employed to know the positive and negative relationship of fluoride and nitrate with other parameters. Results of principal component analysis/factor analysis (PCA/FA) indicated that the concentration of fluoride is controlled by the presence of calcium due to their negative correlation in groundwater samples. The hierarchical agglomerative cluster analysis (HCA) also supported the outcome of PCA/FA and both indicated anthropogenic sources of fluoride and nitrate in groundwater.
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
Shrestha, S., & Kazama, F. (2007) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2006.02.001 · Cited by 1,804
Liu, C.-W., Lin, K.-H., & Kuo, Y.-M. (2003) · Science of The Total Environment · doi:10.1016/s0048-9697(02)00683-6 · Cited by 1,717
Singh, K. P., Malik, A., Mohan, D., & Sinha, S. (2004) · Water Research · doi:10.1016/j.watres.2004.06.011 · Cited by 1,648
Helena, B. (2000) · Water Research · doi:10.1016/s0043-1354(99)00225-0 · Cited by 1,258
Integrated Risk Information System
Ord, Ncea, & Irisd (2013) · Cited by 1,165
Non-agricultural sources of groundwater nitrate: a review and case study
Wakida, F. T., & Lerner, D. N. (2005) · Water Research · doi:10.1016/j.watres.2004.07.026 · Cited by 704
Chen, J., Wu, H., Qian, H., & Gao, Y. (2017) · Exposure and Health · doi:10.1007/s12403-016-0231-9 · Cited by 448
Li, P., He, X., Li, Y., & Xiang, G. (2018) · Exposure and Health · doi:10.1007/s12403-018-0278-x · Cited by 406
Fluorine geochemistry in bedrock groundwater of South Korea
CHAE, G., YUN, S., MAYER, B., KIM, K., KIM, S., KWON, J., KIM, K., & KOH, Y. (2007) · Science of The Total Environment · doi:10.1016/j.scitotenv.2007.06.038 · Cited by 395
MCKENNA, J. (2003) · Environmental Modelling & Software · doi:10.1016/s1364-8152(02)00094-4 · Cited by 331
Cited by
Hoque, M. M., Islam, A., Islam, A. R. M. T., Das, B. C., Pal, S. C., Arabameri, A., & Khan, R. (2023) · Environmental Science and Pollution Research · doi:10.1007/s11356-023-29431-7 · Cited by 11
Metadata
- Authors
- Kaur, L., Rishi, M. S., & Siddiqui, A. U.
- Venue
- Environmental Pollution
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 259
- Pages
- 113711
- ISSN
- 0269-7491 (ISSN-L)
- OpenAlex
- W2995565478
- Cited by
- 268
- References
- 34
- FWCI
- 8.98
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Deterministic and probabilistic health risk assessment techniques to evaluate non-carcinogenic human health risk (NHHR) due to fluoride and nitrate in groundwater of Panipat, Haryana, India. https://app.cochat.ai/papers/10.1016/j.envpol.2019.113711
- The paper
- Kaur, L., Rishi, M. S., & Siddiqui, A. U. (2020). Deterministic and probabilistic health risk assessment techniques to evaluate non-carcinogenic human health risk (NHHR) due to fluoride and nitrate in groundwater of Panipat, Haryana, India. Environmental Pollution. https://doi.org/10.1016/j.envpol.2019.113711
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.