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Updated: Aug 29, 2025
06:37
Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
Published on: November 13, 2017
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Open and Cost-Effective Digital Ecosystem for Lake Water Quality Monitoring
Daniele Strigaro1,2, Massimiliano Cannata2, Fabio Lepori2
1Department of Earth and Environmental Sciences (DSTA), University of Pavia, Via Ferrata 9, 27100 Pavia, Italy.
Sensors (Basel, Switzerland)
|September 9, 2022
Summary
This study introduces an open-source digital ecosystem and Automatic High-Frequency Monitoring System (AHFM) to overcome barriers in water resource management digitalization. The system leverages cloud and edge computing for cost-effective, integrated lake monitoring.
Area of Science:
- Environmental Science
- Water Resource Management
- Digitalization
Background:
- Digital transformation in water management is hindered by costs, expertise gaps, and data integration challenges.
- Proprietary systems impede the creation of unified data management solutions in the Big Data era.
Purpose of the Study:
- To assess an open, cost-effective, and replicable digital ecosystem for lake monitoring.
- To facilitate digitalization in water resources management through integrated cloud-based technology.
Main Methods:
- Development of an Automatic High-Frequency Monitoring System (AHFM) using open hardware and software.
- Implementation of cloud-based technology and edge computing for data processing.
- Validation through real-case scenario testing and historical database integration.
Main Results:
- Demonstrated the feasibility of an open digital ecosystem for integrated lake monitoring.
- Successfully tested and validated the AHFM system's performance.
- Showcased the benefits of edge computing for efficient data handling in low-power devices.
Conclusions:
- An open, cost-effective digital ecosystem can significantly advance lake monitoring and water resource management digitalization.
- The developed AHFM system offers a replicable solution for high-frequency data collection.
- Edge computing enhances the efficiency and applicability of monitoring systems.
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