Seasonal and Spatial Variations of Heavy Metals in the Kollidam River: Implications for Water Quality and Aquatic Health

Heavy metal pollution in aquatic ecosystems is a growing global concern, especially given the severe health and environmental risks posed by these contaminants of Rivers, as crucial water resources, are highly susceptible to heavy metal contamination from both natural sources and anthropogenic activities, including industrial and agricultural runoff. The Kollidam River in Tamil Nadu, India, which supports agriculture, drinking water, and diverse aquatic life, faces mounting pollution pressures due to rapid industrialization and urbanization, leading to the accumulation of metals like copper (Cu), manganese (Mn), zinc (Zn), and iron (Fe). These metals can persist in river ecosystems and bioaccumulate in aquatic organisms, impacting the food web and consequently human health. This study utilizes Atomic Absorption Spectroscopy (AAS) to quantitatively assess the concentration of Cu, Mn, Zn, and Fe in Kollidam River water, with a focus on understanding the ecological risks posed by these metals. Findings from this study provide critical insights into pollution sources seasonal variations and the potential health risks associated with heavy metal contamination.

Authors

Institutions

Publication Details

Journal
UTTAR PRADESH JOURNAL OF ZOOLOGY
Published
2024-12-20
DOI
https://doi.org/10.56557/upjoz/2024/v45i234695
Primary Topic
Water Quality and Pollution Assessment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seasonal and Spatial Variations of Heavy Metals in the Kollidam River: Implications for Water Quality and Aquatic Health

Anandhan.R, T.V. Kulish, Rong Ma
UTTAR PRADESH JOURNAL OF ZOOLOGY
Water Quality and Pollution Assessment
article

Seasonal and Spatial Variations of Heavy Metals in the Kollidam River: Implications for Water Quality and Aquatic Health

Anandhan.R, T.V. Kulish, Rong Ma
article en

Abstract

Heavy metal pollution in aquatic ecosystems is a growing global concern, especially given the severe health and environmental risks posed by these contaminants of Rivers, as crucial water resources, are highly susceptible to heavy metal contamination from both natural sources and anthropogenic activities, including industrial and agricultural runoff. The Kollidam River in Tamil Nadu, India, which supports agriculture, drinking water, and diverse aquatic life, faces mounting pollution pressures due to rapid industrialization and urbanization, leading to the accumulation of metals like copper (Cu), manganese (Mn), zinc (Zn), and iron (Fe). These metals can persist in river ecosystems and bioaccumulate in aquatic organisms, impacting the food web and consequently human health. This study utilizes Atomic Absorption Spectroscopy (AAS) to quantitatively assess the concentration of Cu, Mn, Zn, and Fe in Kollidam River water, with a focus on understanding the ecological risks posed by these metals. Findings from this study provide critical insights into pollution sources seasonal variations and the potential health risks associated with heavy metal contamination.

UTTAR PRADESH JOURNAL OF ZOOLOGYVol. 45(23)
Annamalai University (IN)
Sustainable cities and communities
Openalex Percentile: Top 77%
Water Quality and Pollution Assessment
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.

Seasonal and Spatial Variations of Heavy Metals in the Kollidam River: Implications for Water Quality and Aquatic Health — Anandhan.R, T.V. Kulish, et al. · UTTAR PRADESH JOURNAL OF ZOOLOGY (2024) | TGRS Research Map | TGRS