Heavy Metal Contamination Analysis in Sediments of Balu River, Bangladesh

This study assessed heavy metal pollution in sediments of the Balu River, Bangladesh, evaluating contamination levels, ecological risks, and potential sources. Sediment samples were collected from 10 stations along a 4.7 km stretch during wet and dry seasons. Concentrations of zinc, lead, copper, chromium, and cadmium were analyzed. Multiple pollution indices, including geo-accumulation index, contamination factor, and enrichment factor, were calculated. Multivariate statistical analyses were employed to identify pollution sources and spatial patterns. Results revealed significant heavy metal contamination, with zinc and cadmium exhibiting the highest levels of enrichment and ecological risk. Wet season data showed stronger correlations and higher contamination levels, likely due to increased runoff and industrial discharges. Dry season data indicated shifts in dominant pollution sources, with zinc and cadmium showing different associations compared to the wet season. Pollution indices indicated moderate to severe contamination for most metals, particularly cadmium. Statistical analyses suggested industrial activities, vehicular emissions, and urban runoff as primary pollution sources, with distinct spatial patterns identifying contamination hotspots. The findings highlight the critical state of metal pollution in the Balu River, emphasizing the urgent need for targeted pollution control measures and comprehensive environmental management strategies.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29143344
Primary Topic
Heavy metals in environment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Heavy Metal Contamination Analysis in Sediments of Balu River, Bangladesh

Figshare
Heavy metals in environment
article

Heavy Metal Contamination Analysis in Sediments of Balu River, Bangladesh

article en

Abstract

This study assessed heavy metal pollution in sediments of the Balu River, Bangladesh, evaluating contamination levels, ecological risks, and potential sources. Sediment samples were collected from 10 stations along a 4.7 km stretch during wet and dry seasons. Concentrations of zinc, lead, copper, chromium, and cadmium were analyzed. Multiple pollution indices, including geo-accumulation index, contamination factor, and enrichment factor, were calculated. Multivariate statistical analyses were employed to identify pollution sources and spatial patterns. Results revealed significant heavy metal contamination, with zinc and cadmium exhibiting the highest levels of enrichment and ecological risk. Wet season data showed stronger correlations and higher contamination levels, likely due to increased runoff and industrial discharges. Dry season data indicated shifts in dominant pollution sources, with zinc and cadmium showing different associations compared to the wet season. Pollution indices indicated moderate to severe contamination for most metals, particularly cadmium. Statistical analyses suggested industrial activities, vehicular emissions, and urban runoff as primary pollution sources, with distinct spatial patterns identifying contamination hotspots. The findings highlight the critical state of metal pollution in the Balu River, emphasizing the urgent need for targeted pollution control measures and comprehensive environmental management strategies.

Figshare
Sustainable cities and communities
Openalex Percentile: Top 65%
Heavy metals in environment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.