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AI-driven prediction of soil trace metal contamination and ecological health in the Sundarbans mangrove ecosystem: Implications for nature-based solutions and the UN SDGs

Ismail MondalDepartment of Marine Science, University of Calcutta, Kolkata, West Bengal, Kolkata, 700019, India; Abdullah Alrushaid Chair for Earth Science Remote Sensing Research, Geology and Geophysics Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia. Electronic address: [email protected]SK Ariful HossainCSIR National Institute of Oceanography, Dona Paula, 403 004, Goa, IndiaFahad AlshehriAbdullah Alrushaid Chair for Earth Science Remote Sensing Research, Geology and Geophysics Department, College of Science, King Saud University, Riyadh 11451, Saudi ArabiaAnirjita DasDepartment of Marine Science, University of Calcutta, Kolkata, West Bengal, Kolkata, 700019, IndiaFelix JoseDepartment of Marine & Earth Sciences, Florida Gulf Coast University, FL- 33965, USAMukhiddin JulievTurin Polytechnic UniversitySinjini SenguptaDepartment of Environmental Science, Asutosh College, University of Calcutta, Kolkata, 700025, IndiaAnindya Sundar MondalDepartment of Environmental Science, Asutosh College, University of Calcutta, Kolkata, 700025, IndiaSaba ParveenDepartment of Environmental Science, Asutosh College, University of Calcutta, Kolkata, 700025, India

Marine Pollution Bulletinjournal2026en

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ABI

Annotatsiya

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Mavzular

Coastal wetland ecosystem dynamics Heavy metals in environment Innovations in Aquaponics and Hydroponics Systems

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DOI: 10.1016/j.marpolbul.2026.119849

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