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Water, Soil and Air Pollutants' Interaction on Mangrove Ecosystem and Corresponding Artificial Intelligence Techniques Used in Decision Support Systems - A Review

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dc.contributor.authorWen Yee Wongen_US
dc.contributor.authorAyman Khallel Ibrahim Al-Anien_US
dc.contributor.authorKhairunnisa Hasikinen_US
dc.contributor.authorAnis Salwa Mohd Khairuddinen_US
dc.contributor.authorSarah Abdul Razaken_US
dc.contributor.authorHanee Farzana Hizaddinen_US
dc.contributor.authorMohd Istajib Mokhtaren_US
dc.contributor.authorMuhammad Mokhzaini Azizanen_US
dc.date.accessioned2024-05-28T05:54:05Z
dc.date.available2024-05-28T05:54:05Z
dc.date.issued2021
dc.date.submitted2021-10-7
dc.descriptionIEEE Access ( Volume: 9)en_US
dc.description.abstractThe feasibility of artificial intelligence (AI) as a predictive model for thorough efficacy analysis on environmental pollution applied on mangrove forests are discussed. Mangrove forests are among the most productive and biological diverse ecosystems on the planet. However, due to environmental pollution and climate change, mangrove forests are in serious decline. Despite crucial issues pertaining mangrove forests, the law enforcement on the ecosystem is still dubious due to the lack of evidence and data that could provide accurate analysis and prediction. The main highlight of this review elaborates on pollutant markers in soil, water, and air, by correlating these three aspects to the sustainability of mangrove ecosystem. The research gap identified from this review suggests the application of an integrated environmental prediction system for practical environmental insights. A predictive model for environmental decision-making could be developed by integrating meteorological, climatological, hydrological, atmospheric, and heavy metal concentration to understand the interaction between each factor for an efficient solution of pollutant reduction scheme involving mangrove ecosystems.en_US
dc.identifier.citationW. Y. Wong et al., "Water, Soil and Air Pollutants’ Interaction on Mangrove Ecosystem and Corresponding Artificial Intelligence Techniques Used in Decision Support Systems - A Review," in IEEE Access, vol. 9, pp. 105532-105563, 2021, doi: 10.1109/ACCESS.2021.3099107.en_US
dc.identifier.doi10.1109/ACCESS.2021.3099107
dc.identifier.epage105563
dc.identifier.issn2169-3536
dc.identifier.other2494-3
dc.identifier.spage105532
dc.identifier.urihttps://ieeexplore.ieee.org/document/9493157
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/6770
dc.identifier.volume9
dc.language.isoenen_US
dc.publisherIEEE Xploreen_US
dc.relation.ispartofIEEE Accessen_US
dc.subjectMangrove estuarine, pollutant interaction, environmental quality modeling, integrated environmental decision systemen_US
dc.titleWater, Soil and Air Pollutants' Interaction on Mangrove Ecosystem and Corresponding Artificial Intelligence Techniques Used in Decision Support Systems - A Reviewen_US
dc.typeArticleen_US
dspace.entity.typePublication

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