Multispectral absorption algorithm for retrieving TSS concentrations in water

Daraigan, Sami Gumaan; Hashim, Syahril Amin; Jafri, Mohd Zubir Mat; Abdullah, K.; Jeng, Wong Chow; Saleh, N. Mohd.

doi:10.1109/igarss.2007.4423437

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…With online water-quality analytical techniques having become ever more sophisticated, development of compact online monitoring devices is essential for IoT applications, instead of the traditional turbidity measurements involving on-site water sample collection and subsequent laboratory analysis, which is both labor intensive and costly [ 10 , 11 ]. New light sources have emerged in the form of light emitting diodes (LEDs) at considerably lower cost and higher reliability than conventional sources [ 12 , 13 ]. Tsao (2013) produced a turbidity-detecting chip with microelectric process technology, capable of making precision measurement for 0–125 NTU environmental water samples [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Development of Innovative Online Modularized Device for Turbidity Monitoring

Chu

Lin

Liu

et al. 2023

Sensors

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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.

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Section: Introductionmentioning

confidence: 99%

Development of Innovative Online Modularized Device for Turbidity Monitoring

Chu

Lin

Liu

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…[10][11] New light sources have emerged in the form of light emitting diodes (LEDs) at considerably lower cost and higher reliability than conventional light sources. [12][13] Tsao (2013) produced a turbidity-detecting chip with microelectric process technology, capable of making precise measurement for 0-125 NTU environmental water samples. 14 Wang et al (2018) employed a laboratory-developed optical module capable of measure transmission and 90-degree scattering light at the same time, with precision reaching 0.1 NTU in the scope of 0-200 NTU, but with higher error as 20% in 200-1,000 NTU.…”

Section: Introductionmentioning

confidence: 99%

Design and development of an innovative online modular device for both water and wastewater monitoring

Chu,

Lin,

Liu

2023

Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV

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With recent advancements in water-quality analytical technology and the increasing popularity of the Internet of Things (IoT), the market demand for compact and durable automated water-quality monitoring devices has grown substantially. However, the current existing online monitoring devices mostly featuring a single-light source to monitor turbidity and chemical oxygen demand (COD), two critical indicators of natural water bodies, which tend to be influenced by interfering substances that limits their ability to measure more complex water-quality parameters. To address these issues, a new modularized water-quality monitoring device equipped with multi-light sources (UV/VIS/NIR) has been designed and implemented. This device can measure the photo-intensity of scattering, transmission, as well as reference light simultaneously, and coupled with different water-quality prediction models to provide accurate estimates for tap water (Turbidity<2 NTU, relative error < 17.8%), environmental sample (Turbidity<400 NTU, relative error < 2.3%) and industrial wastewater (COD<300 mg/L, relative error < 17.6%). The study results suggest the new designed optical module can effectively monitor turbidity and COD in different water samples and provide alerts for water treatment in high concentration, thereby enabling automated water quality monitoring in future.

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Instrument for sunlight extinction measurement in water bodies

Civera

Romero

Laguarda-Miró

et al. 2011

Sensors and Actuators A: Physical

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A comprehensive study aimed at evaluating the occurrence, significance of concentrations and spatial distribution of priority pollutants (PPs) along the Comunidad Valenciana coastal waters (Spain) was carried out in order to fulfil the European Water Framework Directive (WFD). Additionally, PPs concentrations were also analysed in the effluent of 28 WWTPs distributed along the studied area, since these infrastructures are usually considered a significant point source of many of these toxic substances.In coastal waters 36 organic pollutants of the 71 analysed, including 26 PPs (8 of them priority hazardous substances) were detected although many of them with low frequency of occurrence. Only 13 compounds, which belong to four different classes (VOCs, organochlorinated pesticides, phthalates and tributyltin compounds (TBT)) showed a frequency of occurrence above 20% in coastal waters. Toluene was the most ubiquitous pollutant (detected in 100% of the samples) with maximum concentration of 1.6 g/l. All analysed coastal waters showed the presence of PPs, being di(2-ethylhexyl)phthalate (DEHP) the most frequent one (detected in 57% of the samples) reaching concentrations up to 15 g/l. In the results obtained until now, there are four compounds that exceed the established Environmental Quality Standards (EQS): octylphenol, pentachlorobenzene, DEHP and TBT exceeded the annual average concentration (EQS-AAC), and only TBT surpassed the maximum allowable concentration (EQS-MAC).Despite its prohibition, endosulfan and hexachlorocyclohexane (HCH) were detected in 9% and 30% of the samples, respectively, and their concentrations were relatively close to their EQS-AAC value (around the 70 %). The most frequent contaminants determined in coastal waters were also present in WWTP's effluents. Generally, effluents from WWTPs exhibited higher frequency of occurrence and concentration than in coastal waters, except for DEPH.

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Multispectral absorption algorithm for retrieving TSS concentrations in water

Abstract: The environmental problems caused by the increase 1-4244-1212-9/07/$25.00

Cited by 4 publications

References 7 publications

Development of Innovative Online Modularized Device for Turbidity Monitoring

Development of Innovative Online Modularized Device for Turbidity Monitoring

Design and development of an innovative online modular device for both water and wastewater monitoring

Instrument for sunlight extinction measurement in water bodies

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