ArticleSensors (Basel, Switzerland)2021
A Low-Cost Water Depth and Electrical Conductivity Sensor for Detecting Inputs into Urban Stormwater Networks.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Performance Comparison of Laser and Ultrasonic Sensors for Water-Level Monitoring in Wind Turbine Towers: System Development and Experimental Validation.Sensors (Basel, Switzerland) · 2026Article
- A Low-Cost, Open-Source, In Situ, Near-Real-Time Sensor for the Detection of Nitrate and Ammonia in Environmental Waters.ACS ES&T water · 2026Article
- Laboratory performance assessment of low-cost water level sensor for field monitoring in the tropics.Water research X · 2025Article
- A systematic review of sensors to combat crime and routes to further sensor development.Frontiers in chemistry · 2025Review
- A Compact, Low-Cost, and Low-Power Turbidity Sensor for Continuous In Situ Stormwater Monitoring.Sensors (Basel, Switzerland) · 2024Article
- Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors.Sensors (Basel, Switzerland) · 2024Review
- Low-cost monitoring systems for urban water management: Lessons from the field.Water research X · 2024Article
- Inventing a robust road-vehicle flood level monitoring device for disaster mitigation.Heliyon · 2023Article
- A Low-Cost Radar-Based IoT Sensor for Noncontact Measurements of Water Surface Velocity and Depth.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
High-resolution data collection of the urban stormwater network is crucial for future asset management and illicit discharge detection, but often too expensive as sensors and ongoing frequent maintenance works are not affordable. We developed an integrated water depth, electrical conductivity (EC), and temperature sensor that is inexpensive (USD 25), low power, and easily implemented in urban drainage networks. Our low-cost sensor reliably measures the rate-of-change of water level without any re-calibration by comparing with industry-standard instruments such as HACH and HORIBA's probes. To overcome the observed drift of level sensors, we developed an automated re-calibration approach, which significantly improved its accuracy. For applications like monitoring stormwater drains, such an approach will make higher-resolution sensing feasible from the budget control considerations, since the regular sensor re-calibration will no longer be required. For other applications like monitoring wetlands or wastewater networks, a manual re-calibration every two weeks is required to limit the sensor's inaccuracies to ±10 mm. Apart from only being used as a calibrator for the level sensor, the conductivity sensor in this study adequately monitored EC between 0 and 10 mS/cm with a 17% relative uncertainty, which is sufficient for stormwater monitoring, especially for real-time detection of poor stormwater quality inputs. Overall, our proposed sensor can be rapidly and densely deployed in the urban drainage network for revolutionised high-density monitoring that cannot be achieved before with high-end loggers and sensors.
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Registered trials
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