A Highly Sensitive Deep-Sea <i>In-Situ</i> Turbidity Sensor With Spectrum Optimization Modulation-Demodulation Method

Jiang, He; Hu, Yi; Yang, Hui; Wang, Yiwen; Ye, Shuming

doi:10.1109/jsen.2020.2977348

Cited by 18 publications

(6 citation statements)

References 16 publications

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“…Jiang et al [34] developed a turbidity sensor for deep-sea applications, employing a light-scattering path and a watertight mechanical structure. This design achieved a detection limit of 0.0036 NTU within the 0-20 NTU range.…”

Section: Related Workmentioning

confidence: 99%

High-Precision Monitoring System for Turbidity of Drinking Water by Using Scattering Method

Chen,

Wang,

Wang

2023

IEEE Sensors J.

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To enhance the accuracy of water quality turbidity detection and address the challenges associated with drinking water safety, this study proposes a high-precision turbidity sensor detection approach. However, in practical water quality monitoring, the design of the water quality turbidity monitoring system encounters difficulties arising from air bubbles in the water affecting beam refraction, excessive beam scattering angles impacting detection accuracy, and the need for precise water quality turbidity measurements. To tackle these issues, this study presents a novel design comprising a pressurized air-removing device and an innovative mechanical structure, effectively eliminating difficultto-remove air bubbles in the water channel. Furthermore, a lens with calibration is devised to effectively address the problem of excessive beam scattering angles. Based on the 90°scattering method, the designed sensor achieves an impressive detection limit of 0.001 nephelometric turbidity unit (NTU) and a concentration range of 0-100 NTU. The results demonstrate a significant improvement in the accuracy and interference reduction ability of the sensor designed in this study. The developed high-precision turbidity sensor offers promising potential for advancing water quality monitoring technologies and ensuring safe drinking water for the public.

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Section: Related Workmentioning

confidence: 99%

High-Precision Monitoring System for Turbidity of Drinking Water by Using Scattering Method

Chen,

Wang,

Wang

2023

IEEE Sensors J.

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“…The appealing alternative are low-cost turbidity sensors, and several such sensors have been documented in peer-reviewed literature, such as the appliance-based sensors of Gillett [17] and Trevathan [40] , the backscatter systems of Jiang [22] and Eidam [13] , the dual-beam detectors of Lambrou [26] and Wang [44] , the handheld system of Kelley [23] , and the flow-through systems of Kitchener [24] and again Gillett [17] . However, none of these systems are sufficiently accurate in the entire 0–4000 Nephelometric Turbidity Unit (NTU) range and also sufficiently robust for deployment in rivers in the field.…”

Section: Hardware In Contextmentioning

confidence: 99%

Ötz-T: 3D-printed open-source turbidity sensor with Arduino shield for suspended sediment monitoring

Droujko¹,

Kunz²,

Molnár³

2023

HardwareX

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“…This sensor can be used in a pump-test setup, as they’ve shown, but is unsuitable for environmental applications where ambient stray light will interfere with the measurement. Jiang 46 created a turbidity sensor for deep-sea applications, reaching depths of over 3400 meters. The sensor was based on a backscatter principle (the detector is positioned at < relative to the incident LED beam) but is only suitable in the 0-20 FNU range (FNU and NTU are interchangeable units of turbidity).…”

Section: Introductionmentioning

confidence: 99%

Open-source, low-cost, in-situ turbidity sensor for river network monitoring

Droujko

Molnár

2022

Sci Rep

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Fine sediment transport in rivers is important for catchment nutrient fluxes, global biogeochemical cycles, water quality and pollution in riverine, coastal and marine ecosystems. Monitoring of suspended sediment in rivers with current sensors is challenging and expensive and most monitoring setups are restricted to few single site measurements. To better understand the spatial heterogeneity of fine sediment sources and transport in river networks there is a need for new smart water turbidity sensing that is multi-site, accurate and affordable. In this work, we have created such a sensor, which detects scattered light from an LED source using two detectors in a control volume, and can be placed in a river. We compare several replicates of our sensor to different commercial turbidity probes in a mixing tank experiment using two sediment types over a wide range of typical concentrations observed in rivers. Our results show that we can achieve precise and reproducible turbidity measurements in the 0–4000 NTU or 0–16g/L range. Our sensor can also be used directly as a suspended sediment sensor and bypass an unnecessary calibration to Formazin. The developed turbidity sensor is much cheaper than existing options of comparable quality and is especially intended for distributed sensing across river networks.

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A Highly Sensitive Deep-Sea In-Situ Turbidity Sensor With Spectrum Optimization Modulation-Demodulation Method

Cited by 18 publications

References 16 publications

High-Precision Monitoring System for Turbidity of Drinking Water by Using Scattering Method

High-Precision Monitoring System for Turbidity of Drinking Water by Using Scattering Method

Ötz-T: 3D-printed open-source turbidity sensor with Arduino shield for suspended sediment monitoring

Open-source, low-cost, in-situ turbidity sensor for river network monitoring

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