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Citizen Science for Water Quality Monitoring: Analyzing Key Parameters, Success Factors, and Research Gaps for
Walidatush Sholihah1,2, Mohammad Gharesifard3
1Faculty of Science and Engineering, University of Groningen, Groningen, The Netherlands. w.sholihah@rug.nl.
Environmental Management
|August 16, 2025
Summary
Citizen science offers valuable water quality monitoring for aquaculture, but its use is limited. Integrating real-time technologies like IoT can improve data accuracy and sustainability in aquaculture practices.
Area of Science:
- Environmental Science
- Aquaculture Science
- Citizen Science
Background:
- Citizen science is widely used for water quality monitoring but underutilized in aquaculture.
- Existing citizen science projects often adopt a top-down, contributory model.
- Geographic concentration of studies in North America and Europe limits global applicability.
Purpose of the Study:
- To evaluate the current state of citizen science in water quality monitoring.
- To explore its specific implications and potential for aquaculture practices.
- To identify common approaches, data collection methods, and key parameters.
Main Methods:
- Systematic literature review of 51 publications.
- Searches conducted in Scopus and Web of Science databases.
- Analysis of project approaches, tools, techniques, and monitored parameters.
Main Results:
- Citizen science in aquaculture is geographically concentrated in North America and Europe.
- Contributory, top-down models are most common, with scientists leading research.
- Chemical indicators like pH are frequently monitored using accessible test kits.
- Adoption of Internet of Things (IoT) technology for real-time monitoring remains limited.
Conclusions:
- Citizen science can enhance aquaculture water quality management.
- Integrating real-time monitoring technologies (e.g., IoT) is crucial for improvement.
- Expanding monitored parameters and adopting advanced tech can boost effectiveness and sustainability.
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