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Spatial distribution and hazard assessment of plastic-dominated marine litter along the Saudi Arabian Gulf Coast

  • Abdurahiman K. Pulikkoden
  • , Kannaiyan Neelavannan*
  • , Rajeesh Meleppura
  • , Jinoy Gopalan
  • , Akurathi V.S. Chaitanya
  • , Abdul Azeez Saleem
  • , Khaled M. Alaqad
  • , Mohammed Ramees P. V
  • , Panickan Premlal
  • , Kolchar M. Rajaneesh
  • , Muaadh A. Alnuwairah
  • , Seerangan Manokaran
  • , Lotfi J. Rabaoui
  • , Jiya Albert
  • , Karuppasamy Manikandan
  • , Thadickal V. Joydas
  • , Luai Muhammad Alhems
  • , Ali Qasem
  • , Abdulrahman M. Katheeri
  • , Riaan van der Merwe
  • Sabique Langodan, Maryam Qashqari, Diego Lozano-Cortés
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This study evaluates the spatial distribution and potential hazards of plastic-dominated marine litter along the coast of the Arabian Gulf of Saudi Arabia by integrating field surveys, pollution indices, and hydrodynamic modeling at eleven coastal beaches. The litter density ranged from 0.45 ± 0.13 to 6.81 ± 1.32 items/m2, with an overall mean of 1.57 ± 1.98 items/m2. The Central Arabian Gulf coast region of Saudi Arabia exhibited the highest mean litter density (3.85 items/m2), followed by the Northern (3.62 items/m2) and Southern (2.82 items/m2) regions. Plastics were the most dominant litter type across all sites (86.58%), while other litter contributed only minor fractions. Beach floor cleanliness was evaluated using the Clean Coast Index (CCI), General Index (GI), Pollution Load Index (PLI) and Hazardous Items Index (HII). The GI and CCI results indicated that none of the surveyed beaches were classified as “very clean”, while PLI values suggested moderate but non-critical pollution levels. HII values showed considerable variability, with several beaches falling under Risk level II (1–4), suggesting moderate hazardous risks. Hydrodynamic modeling (MIKE 21) revealed that litter transport and accumulation were mainly driven by surface currents, tides, and wind, leading to a dominant southward transport. This study provides the first spatially explicit baseline of beach litter along the Saudi Arabian Gulf coast, providing critical insights to support evidence-based monitoring. Our findings directly contribute to the achievement of UN SDG 12 (Responsible Consumption and Production), SDG 13 (Climate Action), and SDG 14 (Life Below Water) by providing high-resolution data necessary to mitigate plastic pollution and protect coastal ecosystems, aligning with the environmental goals of Saudi Vision 2030.

Original languageEnglish
Article number101262
JournalJournal of Hazardous Materials Advances
Volume23
DOIs
StatePublished - Aug 2026

Bibliographical note

Publisher Copyright:
© 2026 The Authors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 13 - Climate Action
    SDG 13 Climate Action
  3. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Hydrodynamic modeling
  • Marine litter
  • Saudi Arabia
  • Sustainable development goals (SDGs)

ASJC Scopus subject areas

  • Environmental Engineering
  • Environmental Chemistry
  • Waste Management and Disposal
  • Pollution
  • Health, Toxicology and Mutagenesis

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