Publication: 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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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE Xplore
Abstract
The 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.
Description
IEEE Access ( Volume: 9)
Keywords
Mangrove estuarine, pollutant interaction, environmental quality modeling, integrated environmental decision system
Citation
W. 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.