Cited by 50Microplastics and Plastic PollutionWaste Management and RecyclingEnvironmental Sustainability and Education

Interventions of citizen science for mitigation and management of plastic pollution: Understanding sustainable development goals, policies, and regulations

Sinha, Rahul Kumar, Kumar, Rakesh, Phartyal, Shyam S., Sharma, Prabhakar·2024·Science of The Total Environment

Abstract

Plastic pollution in the natural environment has been overlooked, which leads to potential risks to human health and wildlife. This paper provides an overview on citizen science approach to mitigate and manage plastic pollution in natural environments. Also, this paper highlights the importance of citizen science in raising public awareness of environmental issues and promoting sustainable practices. Case studies and different projects, such as "Plastic Pirates", "Litterati", "Trash Hunter", "International Pellat Watch", and many more projects on the role of citizen scientists are summarized, which aims to monitor and collect plastic resin pellets from different ecosystems, for example, beaches, seas, and rivers and also engage various stakeholders, for example, citizen scientists, students, academic and research organizations, non-profits, government agencies, industry, and local communities. Additionally, this paper discusses different methodologies, such as surveys and sampling approaches, using mobile apps, instruments and kits to collect information on plastic pollution. Importantly, it discusses the need for global partnerships and policies to address plastic waste management and prevent conflict. Likewise, this review emphasizes the citizen sciences and impacts of plastics on both aquatic and terrestrial ecosystems to conserve, preserve, and monitor biodiversity through citizen participation. This study also highlights the significance of community involvement, such as…

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Crossref · 10.1016/j.scitotenv.2024.176621

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  • AI-driven tools can enhance data analysis, pattern recognition, and predictive modelling, improving efficiency and accuracy and expanding scope and scalability of citizen science projects.

    “In citizen science, AI-driven tools can enhance data analysis, pattern recognition, and predictive modelling, not only improving the efficiency and accuracy of citizen science projects, but also expanding their scope and scalability (Fraisl et al., 2025;Hayes et al., 2025;Sinha et al., 2024).”

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Authors
Sinha, R. K., Kumar, R., Phartyal, S. S., & Sharma, P.
Affiliations
  • Nalanda University (IN)
  • Auburn University (US)
  • Nagaland University (IN)
Corresponding author
  • Kumar, Rakesh
  • Phartyal, Shyam S.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2024-12
Volume
955
Pages
176621
ISSN
0048-9697 (ISSN-L)
OpenAlex
W4403311653
Cited by
50
References
128
Citations by year
2026: 13 · 2025: 31 · 2024: 6
FWCI
1.29
Type
journal article
Language
en
Open access
closed
Locations
  • The Science of The Total Environment (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Pollution › Microplastics and Plastic Pollution
  • Physical Sciences › Environmental Science › Waste Management and Disposal › Waste Management and Recycling
  • Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Sustainability and Education
Keywords
plastic pollution, citizen science, plastic waste management, Sustainable Development Goals, environmental policy, plastic pollution monitoring, mobile application, community participation, biodiversity conservation, marine litter, plastic waste prevention, stakeholder engagement
MeSH terms
Sustainable Development, Citizen Science, Conservation of Natural Resources, Environmental Monitoring, Environmental Pollution, Plastics, Ecosystem, Waste Management, Environmental Policy

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