Evidence map›Paper›PMID 41912570›Full record

ArticleScientific reports2026

Surface water quality and heavy metal assessment in a tropical coastal zone for identifying favorable crop production seasons.

Tusar Kanti Roy, Md Nahid Hasan Joy, Shahad Shahriar, Sarowar Hossen, Shahjahan Sheikh, Md Saiful Islam, Zulhilmi Ismail, Abubakr M Idris

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Tusar Kanti RoyDepartment of Agricultural Chemistry, Khulna Agricultural University, Khulna, 9202, Bangladesh. tusar@kau.ac.bd.ORCID http://orcid.org/0000-0003-0321-8534
Md Nahid Hasan JoyDepartment of Biotechnology and Genetic Engineering, Gopalganj Science and Technology University, Gopalganj, 8100, Bangladesh.
Shahad ShahriarDepartment of Computer Science and Mathematics, Agricultural University, Mymensingh, 2200, Bangladesh.
Sarowar HossenDeaprtment of Agricultural Economics, Sher-e-Bangla Agricultural University, Dhaka, 1207, Bangladesh.
Shahjahan SheikhDepartment of Environmental Science, Patuakhali Science and Technology University, Patuakhali, 8660, Bangladesh.
Md Saiful IslamDepartment of Soil Science, Patuakhali Science and Technology University, Patuakhali, Bangladesh. msaifulpstu@yahoo.com.ORCID http://orcid.org/0000-0002-3598-0315
Zulhilmi IsmailCentre for River and Coastal Engineering (CRCE), Universiti Teknologi Malaysia (UTM), 81310, Johor Bahru, Malaysia.
Abubakr M IdrisDepartment of Chemistry, College of Science, King Khalid University, 62529, Abha, Saudi Arabia. dramidris@gmail.com.ORCID http://orcid.org/0000-0003-4038-4769

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates seasonal variations in surface water quality and heavy metal contamination in the southern coastal region of Bangladesh, specifically in Amtali and Kalapara. Water samples were collected during summer, monsoon, and winter to assess physicochemical parameters, Water Quality Index (WQI), Irrigation Water Quality Index (IWQI), and heavy metal concentrations (Cd, As, Cu, Pb, and Cr). The updated WQI and IWQI values indicate that seasonal changes influence water quality and irrigation suitability. Monsoon samples exhibited the best water quality with WQI values ranging from 17.88 ± 6.37 in summer to 46.04 ± 16.96 in winter at Amtali, and from 26.45 ± 17.73 in summer to 60.51 ± 31.47 in winter at Kalapara, reflecting shifts from “good” to “unsuitable” conditions. The IWQI, however, remained in the “excellent” to “good” range across all seasons, with mean values of 22.27 ± 19.02 during the monsoon and 41.36 ± 7.59 in winter at Kalapara, indicating suitability for irrigation. Heavy metal concentrations were highest in winter, with Cd levels rising from 1.20 µg/L in summer to 2.15 µg/L in winter, exceeding WHO limits. Arsenic ranged from 0.10 to 0.50 µg/L, well below the WHO threshold of 10 µg/L. Lead (Pb) and Chromium (Cr) also showed elevated concentrations in winter. Principal Component Analysis (PCA) highlighted that rock-water interactions, evaporation, and anthropogenic inputs were significant contributors to seasonal variations in water quality. This study concludes that the monsoon and pre/post-monsoon seasons are the most favorable for crop irrigation in the region, minimizing the risk of heavy metal accumulation and salinity. It provides critical baseline data for sustainable water management and agricultural planning in coastal Bangladesh with relevant Sustainable Development Goals (SDGs).

Identifiers

PMID41912570
PMCPMC13040047

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