Comparative Assessment of Heavy Metal Contamination and Pollution Trends in Indian Estuarine Sediments: Insights from East and West Coasts of India

This study presents a comparative assessment of heavy metal contamination in sediments from major Indian estuaries in recent decades. Metal concentration data were compiled from published literature and analyzed for Pb, Cd, Cr, Hg, As, Cu, Ni, Zn, Al, Fe, and Mn using indices such as effects range low-effect range median (ERL-ERM), contamination factor (CF), and pollution load index (PLI). Nickel frequently exceeded ERM thresholds (in 20 out of 62 studies), while Cd pollution was most severe (mean CF: 38.89), especially in the Godavari estuary (CF: 49.39–256.12), likely due to industrial discharge. Notably, the PLI of the Narmada estuary declined from 2.54 (2010) to 0.69 (2020), indicating improved effluent management. Two new metrics, temporal averaged PLI (TAPLI) and PLI rate (PLIR), were introduced to evaluate trends. The highest TAPLI values were in the Godavari (3.30) and Ulhas (3.81) estuaries. Negative PLIR values were seen in Uppanar, Zuari, Mahanadi, Mandovi, and Narmada, while Cauvery showed a positive value (0.35 PLI/year), with PLI increasing from 0.39 (2008) to 6.76 (2023). East (2.15) and west (2.24) coasts had a similar mean PLI value. These findings highlight the need for targeted estuarine remediation efforts.

Authors

Institutions

Publication Details

Journal
ACS ES&T Water
Published
2025-05-30
DOI
https://doi.org/10.1021/acsestwater.5c00165
Citations
4
Primary Topic
Heavy metals in environment
Type
article
Field-Weighted Citation Impact
2.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Assessment of Heavy Metal Contamination and Pollution Trends in Indian Estuarine Sediments: Insights from East and West Coasts of India

Arubam Khelen Chanu, Krushna Vudamala, D Shekhar Rao, Durbar Ray et al.
4 citations
ACS ES&T Water
Heavy metals in environment
2.01
article

Comparative Assessment of Heavy Metal Contamination and Pollution Trends in Indian Estuarine Sediments: Insights from East and West Coasts of India

Arubam Khelen Chanu, Krushna Vudamala, D Shekhar Rao, Durbar Ray, P. Prakash, Apoorva Sharma
article en
4 citations

Abstract

This study presents a comparative assessment of heavy metal contamination in sediments from major Indian estuaries in recent decades. Metal concentration data were compiled from published literature and analyzed for Pb, Cd, Cr, Hg, As, Cu, Ni, Zn, Al, Fe, and Mn using indices such as effects range low-effect range median (ERL-ERM), contamination factor (CF), and pollution load index (PLI). Nickel frequently exceeded ERM thresholds (in 20 out of 62 studies), while Cd pollution was most severe (mean CF: 38.89), especially in the Godavari estuary (CF: 49.39–256.12), likely due to industrial discharge. Notably, the PLI of the Narmada estuary declined from 2.54 (2010) to 0.69 (2020), indicating improved effluent management. Two new metrics, temporal averaged PLI (TAPLI) and PLI rate (PLIR), were introduced to evaluate trends. The highest TAPLI values were in the Godavari (3.30) and Ulhas (3.81) estuaries. Negative PLIR values were seen in Uppanar, Zuari, Mahanadi, Mandovi, and Narmada, while Cauvery showed a positive value (0.35 PLI/year), with PLI increasing from 0.39 (2008) to 6.76 (2023). East (2.15) and west (2.24) coasts had a similar mean PLI value. These findings highlight the need for targeted estuarine remediation efforts.

ACS ES&T WaterVol. 5(6)
Pandit Ravishankar Shukla University (IN), National Institute of Oceanography (IN)
National Institute of Oceanography, India
Life below water
Openalex Percentile: Top 14%
Heavy metals in environment
2.01
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.