ArticleSensors (Basel, Switzerland)2023
A Low-Cost Radar-Based IoT Sensor for Noncontact Measurements of Water Surface Velocity and Depth.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Performance Comparison of Laser and Ultrasonic Sensors for Water-Level Monitoring in Wind Turbine Towers: System Development and Experimental Validation.Sensors (Basel, Switzerland) · 2026Article
- Dual-Signal Direct Time-of-Flight Method for Long-Range Groundwater Level Monitoring in Observation Wells.Sensors (Basel, Switzerland) · 2026Article
- Development of Real-Time Water-Level Monitoring System for Agriculture.Sensors (Basel, Switzerland) · 2025Article
- Laboratory performance assessment of low-cost water level sensor for field monitoring in the tropics.Water research X · 2025Article
- Vibration response analysis of simply supported girder bridges using millimeter-wave radar measurements.Scientific reports · 2025Article
- A Compact, Low-Cost, and Low-Power Turbidity Sensor for Continuous In Situ Stormwater Monitoring.Sensors (Basel, Switzerland) · 2024Article
- Low-cost monitoring systems for urban water management: Lessons from the field.Water research X · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We designed an out-of-water radar water velocity and depth sensor, which is unique due to its low cost and low power consumption. The sensor is a first at a cost of less than USD 50, which is well suited to previously cost-prohibited high-resolution monitoring schemes. This use case is further supported by its out-of-water operation, which provides low-effort installations and longer maintenance-free intervals when compared with in-water sensors. The inclusion of both velocity and depth measurement capabilities allows the sensor to also be used as an all-in-one solution for flowrate measurement. We discuss the design of the sensor, which has been made freely available under open-hardware and open-source licenses. The design uses commonly available electronic components, and a 3D-printed casing makes the design easy to replicate and modify. Not before seen on a hydrology sensor, we include a 3D-printed radar lens in the casing, which boosts radar sensitivity by 21 dB. The velocity and depth-sensing performance were characterised in laboratory and in-field tests. The depth is accurate to within ±6% and ±7 mm and the uncertainty in the velocity measurements ranges from less than 30% to 36% in both laboratory and field conditions. Our sensor is demonstrated to be a feasible low-cost design which nears the uncertainty of current, yet more expensive, velocity sensors, especially when field performance is considered.
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Registered trials
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