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Heavy metal pollution in the sundarbans mangrove ecosystem: a growing environmental concern

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F25%3A43910045" target="_blank" >RIV/60076658:12520/25:43910045 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.hazadv.2025.100887" target="_blank" >https://doi.org/10.1016/j.hazadv.2025.100887</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.hazadv.2025.100887" target="_blank" >10.1016/j.hazadv.2025.100887</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Heavy metal pollution in the sundarbans mangrove ecosystem: a growing environmental concern

  • Original language description

    The Sundarbans, the world&apos;s largest mangrove forest, hosts a diverse ecosystem with numerous plant and wildlife species. Nevertheless, this vibrant ecosystem is facing a severe threat from heavy metal pollution. To address the ecological and socioeconomic importance of the study area, this research investigated the dynamics of nine trace metals: arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), mercury (Hg), manganese (Mn), nickel (Ni), lead (Pb), and zinc (Zn) in water and sediment samples. The water and sediment samples were collected from 12 distinct sites in Sundarbans in the pre-monsoon, post-monsoon, and winter seasons. Seasonal and spatial patterns highlighted the concentration fluctuation, which was attributed to contamination levels, and identified the hotspot of the metals. The study found higher levels of As and Hg in all sites across all seasons in the water samples. The highest concentration of water was observed in the Pasur River during the pre-monsoon season. Seasonal dynamics also indicated that pre-and post-monsoon seasons are the most critical for ecosystem vulnerability. The contamination levels indicated by pollution indices such as the Degree of Contamination (Cd), Heavy Metal Pollution Index (HPI), Nemerow Pollution Index (NPI), Geo-accumulation Index (Igeo), and Pollution Load Index (PLI) show that the water is significantly polluted, predominantly by As and Hg. Ecological risk evaluation indicated more ecological risks in water than in sediment. The combined statistical analysis, including Principal Component Analysis (PCA), Hierarchical Cluster analysis (HCA), and Correlation Analysis, identified the prime sources of heavy metals in the water and sediment samples that are mixed geogenic-anthropogenic origins with seasonal variation. Industrial discharge, agriculture and port-related activities were identified as key anthropogenic sources, whereas natural weathering and sediment transport were also significant contributors of metals. The results of the study offer a broad overview of the present heavy metal configuration in water and sediment, which can be regarded as a benchmark for future monitoring programs. Policy frameworks may integrate the findings to adopt an effective mitigation policy to achieve conservation goals of the Sundarbans Mangrove.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Hazardous Materials Advances

  • ISSN

    2772-4166

  • e-ISSN

    2772-4166

  • Volume of the periodical

    20

  • Issue of the periodical within the volume

    neuvedeno

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    17

  • Pages from-to

    nestránkováno

  • UT code for WoS article

    001576826000001

  • EID of the result in the Scopus database

    2-s2.0-105016387351