Spatio-temporal assessment of water quality of a tropical decaying river in India for drinking purposes and human health risk characterization
Abstract
River water pollution and water-related health problems are common issues across the world. The present study aims to examine the Jalangi River's water quality to assess its suitability for drinking purposes and associated human health risks. The 34 water samples were collected from the source to the mouth of Jalangi River in 2022 to depict the spatial dynamics while another 119 water samples (2012-2022) were collected from a secondary source to portray the seasonal dynamics. Results indicate better water quality in the lower reach of the river in the monsoon and post-monsoon seasons. Principal component analysis reveals that K + , NO 3 - , and total alkalinity (TA) play a dominant role in controlling the water quality of the study region, while, CaCO 3 , Ca 2+ , and EC in the pre-monsoon, EC, TDS, Na + , and TA in the monsoon, and EC, TDS and TA in the post-monsoon controlled the water quality. The results of ANOVA reveal that BOD, Ca 2+ , and CaCO 3 concentrations in water have significant spatial dynamics, whereas pH, BOD, DO, Cl - , SO 4 2- , Na + , Mg 2+ , Ca 2+ , CaCO 3 , TDS, TA, and EC have seasonal dynamics (p < 0.05). The water quality index depicts that the Jalangi River's water quality ranged from 6.23 to 140.83, i.e., excellent to unsuitable for drinking purposes. Human health risk analysis shows that 32.35% of water samples have non-carcinogenic health risks for all three groups of people, i.e., adults, children, and infants while only 5.88% of water samples hav…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The generation of organic pollution can, to a large extent, be predicted by the content of biogenic elements of nitrogen, carbon, phosphorus and oxygen and the corresponding chemical indicators.
“The generation of organic pollution can, to a large extent, be predicted by the content of biogenic elements of nitrogen, carbon, phosphorus and oxygen (Hoque et al. 2023) and the corresponding chemical indicators of nitrate ions (NO 3 ), ammonium nitrogen (N-NH3), phosphate ions (PO 3 4 ), dissolved inorganic nitrogen (DIN), the rate of chemical oxygen demand (COD), the rate of biochemical oxygen”
From A study of surface water quality using organic pollution indices: Comparative characteristics and educational opportunities (2025) · cites this paper as Hoque et al. 2023
Cited by
Sorted by citations
Biedunkova, O., Kuznietsov, P., & Korbutiak, V. (2025) · Water Quality Research Journal · doi:10.2166/wqrj.2025.044 · Cited by 22 · see citing works
- Authors
- Hoque, M. M., Islam, A., Islam, A. R. M. T., Das, B. C., Pal, S. C., Arabameri, A., & Khan, R.
- Venue
- Environmental Science and Pollution Research
- Published
- 2023-09-01
- Volume
- 30
- Issue
- 45
- Pages
- 101653-101668
- ISSN
- 1614-7499
- Cited by
- 12
- References
- 0
- Language
- en
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