Affiliation:
1. Green Energy and Environment Research Laboratories, Industrial Technology Research Institute, Hsinchu 310, Taiwan
2. Center for Measurement Standards, Industrial Technology Research Institute, Hsinchu 310, Taiwan
Abstract
Given progress in water-quality analytical technology and the emergence of the Internet of Things (IoT) in recent years, compact and durable automated water-quality monitoring devices have substantial market potential. Due to susceptibility to the influence of interfering substances, which lowers measurement accuracy, existing automated online monitoring devices for turbidity, a key indicator of a natural water body, feature a single light source and are thus insufficient for more complicated water-quality measurement. The newly developed modularized water-quality monitoring device boasts dual light sources (VIS/NIR), capable of measuring the intensity of scattering, transmission, and reference light at the same time. Coupled with a water-quality prediction model, it can attain a good estimate for continuing monitoring of tap water (<2 NTU, error < 0.16 NTU, relative error < 19.6%) and environmental water samples (<400 NTU, error < 3.86 NTU, relative error < 2.3%). This indicates the optical module can both monitor water quality in low turbidity and provide water-treatment information alerts in high turbidity, thereby materializing automated water-quality monitoring.
Funder
Environmental Protection Administration
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference30 articles.
1. Ziegler, A.C. (May, January 30). Issues Related to Use of Turbidity Measurements as a Surrogate for Suspended Sediment. Proceedings of the Turbidity and Other Sediment Surrogates Workshop, Reno, NV, USA.
2. Sadar, M. (2003). Turbidity Standards, Hach Company. Technical Information Series, Booklet 12.
3. Sader, M. (2022, August 25). Turbidity Measurement: A Simple, Effective Indicator of Water Quality Change. OTT Hydromet. Available online: https://www.ott.com/download/turbidity-white-paper.
4. Boyd, C.E. (2020). Water Quality: An Introduction, Springer. [3rd ed.].
5. Distribution system on-line monitoring for detecting contamination and water quality changes;Skadsen;J. AWWA,2008
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