A Big Data Science Solution for Analytics on Moving Objects

Anderson-Grégoire, Isabelle M.; Horner, Kaitlyn A.; Leung, Carson K.; Leboe-McGowan, Delica S.; Olawoyin, Anifat M.; Reydman, Beni; Cuzzocrea, Alfredo

doi:10.1007/978-3-030-75075-6_11

Cited by 19 publications

(1 citation statement)

References 62 publications

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“…Conducting regular assessments at specific time intervals helps to identify deviations, evaluate the effectiveness of intervention measures, and adapt strategies to effectively mitigate the problem. Integrating AI and global network platforms is a promising way to support both research institutions and governments in accessing first-hand data for microplastic dynamics [56,57].…”

Section: Standardized Monitoring Protocolsmentioning

confidence: 99%

Crafting a Scientific Framework to Mitigate Microplastic Impact on Ecosystems

Nikpay,

Toorchi Roodsari

2024

Microplastics

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Microplastics (MPs), microscopic particles originating from plastic products, have emerged as a persistent environmental challenge, posing threats to both ecosystems and human health. Their omnipresence, extending from the highest mountains to the deepest oceans and infiltrating the bodies of humans and animals, requires urgent attention. In the face of escalating annual plastic production and inefficient waste management, where 79% of plastic production ends up in landfill sites or enters the environment, MPs multiply as its consequence. This emphasizes the urgent need for a comprehensive global framework that transcends borders to systematically address and control the growth of MPs. In response, our research conducts an in-depth investigation and proposes a seven-step strategy, providing a global perspective for mitigating microplastic pollution. The proposed approach begins with initial research steps and closes in predicting the remediation of areas impacted by microplastic pollution.

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Section: Standardized Monitoring Protocolsmentioning

confidence: 99%