What does this research mean for the field?

Water in the Bhairab–Rupsha River basin is severely contaminated with anthropogenic heavy metals, particularly downstream, with chromium, cadmium, and lead exceeding safety guidelines, whereas sediment metal concentrations currently remain below ecological risk thresholds. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Assess heavy metal concentrations, spatial pollution patterns, and ecological hazards across water and surface sediments in a rapidly urbanizing tidal river basin.

August 30, 2026CLEAN - Soil Air Water0 citationsOpen Access

Heavy Metal Contamination and Ecological Risk Assessment in River Waters and Sediments

Heavy Metal Contamination and Ecological Risk Assessment in the Bhairab–Rupsha River Basin: An Integrated Approach Using Pollution Indices, Spatial Mapping, and Multivariate Analysis

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Authors

TATamzid Ahmed QBQuazi Hamidul Bari MRM. M. Rahman

Discussion

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Overview

Environmental assessment reveals severe heavy metal water pollution driven by anthropogenic activities in a tidal river system, indicating downstream ecological vulnerability.

Key Points

Assess heavy metal concentrations, spatial pollution patterns, and ecological hazards across water and surface sediments in a rapidly urbanizing tidal river basin.
Quantified concentrations of six priority heavy metals (Cr, Ni, Cu, Zn, Cd, and Pb) in water and surface sediment samples collected during pre- and post-monsoon seasons using inductively coupled plasma–mass spectrometry (ICP–MS).
Evaluated pollution and ecological risk using multiple indices (HPI, HEI, Kd, Cf, Cd, PLI, Igeo, Er, and PER) alongside spatial mapping and principal component analysis (PCA).
Water metal concentrations followed the sequence Cu > Cr > Ni > Pb > Zn > Cd, with Cr, Cd, and Pb exceeding aquatic life guidelines, while the heavy metal pollution index exceeded the critical threshold (HPI > 100) across all sampling stations.
Sediment metal concentrations remained below guideline thresholds, demonstrating low ecological risk across all stations (Cf < 1, Cd < 8, PLI < 1, Igeo < 0).
Spatial mapping indicated downstream contamination enrichment, and PCA explained 98.8% of total variance, identifying industrial discharges, municipal wastewater, and port activities as primary pollution drivers.

Cite This Study

Ahmed et al. (2026) studied this question.

synapsesocial.com/papers/6a93f08e6c1a8fb52e79ccd2 https://doi.org/10.1002/clen.70271

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August 30, 2026CLEAN - Soil Air Water0 citationsOpen Access

Heavy Metal Contamination and Ecological Risk Assessment in River Waters and Sediments

Heavy Metal Contamination and Ecological Risk Assessment in the Bhairab–Rupsha River Basin: An Integrated Approach Using Pollution Indices, Spatial Mapping, and Multivariate Analysis

View Full Paper

Ask AI

Bookmark

Authors

TATamzid Ahmed QBQuazi Hamidul Bari MRM. M. Rahman

Discussion

Member takes

Overview

Environmental assessment reveals severe heavy metal water pollution driven by anthropogenic activities in a tidal river system, indicating downstream ecological vulnerability.

Key Points

Assess heavy metal concentrations, spatial pollution patterns, and ecological hazards across water and surface sediments in a rapidly urbanizing tidal river basin.
Quantified concentrations of six priority heavy metals (Cr, Ni, Cu, Zn, Cd, and Pb) in water and surface sediment samples collected during pre- and post-monsoon seasons using inductively coupled plasma–mass spectrometry (ICP–MS).
Evaluated pollution and ecological risk using multiple indices (HPI, HEI, Kd, Cf, Cd, PLI, Igeo, Er, and PER) alongside spatial mapping and principal component analysis (PCA).
Water metal concentrations followed the sequence Cu > Cr > Ni > Pb > Zn > Cd, with Cr, Cd, and Pb exceeding aquatic life guidelines, while the heavy metal pollution index exceeded the critical threshold (HPI > 100) across all sampling stations.
Sediment metal concentrations remained below guideline thresholds, demonstrating low ecological risk across all stations (Cf < 1, Cd < 8, PLI < 1, Igeo < 0).
Spatial mapping indicated downstream contamination enrichment, and PCA explained 98.8% of total variance, identifying industrial discharges, municipal wastewater, and port activities as primary pollution drivers.

Cite This Study

Ahmed et al. (2026) studied this question.

synapsesocial.com/papers/6a93f08e6c1a8fb52e79ccd2 https://doi.org/10.1002/clen.70271

View Full Paper

Ask AI

Bookmark