Analysis and Solution on the Correlation between Dissolved Oxygen Sensor and pH Sensor for Water Quality Monitoring

This paper designs a multi parameter real-time water quality on-line monitoring system for aquaculture water. This system achieves the online monitoring among temperature, turbidity, DO (dissolved oxygen), pH and electrical conductivity. The crosstalk, produced by the simultaneous measurement with DO and pH sensors, will affect accuracy and stability of monitoring results. This paper analyzes the source of crosstalk, describes a circuit model of causing crosstalk, and designs an isolated circuit between powers and signals as well. The experimental results show that, the real-time monitoring of DO and pH has the characteristics of speediness, high precision, small error and low noise.

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Real-Time Water Quality Monitoring Shows Diurnal Variation of Dissolved Oxygen That Contributes to Unsolved Fish Kills

Proceedings of the Water Environment Federation ◽

10.2175/193864709793953133 ◽

2009 ◽

Vol 2009 (13) ◽

pp. 3282-3291 ◽

Cited By ~ 1

Author(s):

John Tiedemann ◽

James Nickels ◽

Michael Witty

Keyword(s):

Water Quality ◽

Dissolved Oxygen ◽

Diurnal Variation ◽

Real Time ◽

Water Quality Monitoring ◽

Quality Monitoring ◽

Fish Kills

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Automatic River Water Quality Monitoring Using IOT

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.38722 ◽

2021 ◽

Vol 9 (10) ◽

pp. 1880-1882

Author(s):

Saheb Tabassum

Keyword(s):

Water Quality ◽

Real Time ◽

River Water ◽

Water Quality Monitoring ◽

River Water Quality ◽

Quality Monitoring ◽

Grab Sampling ◽

Quality Of Water ◽

Economical System ◽

Aquaculture Water

Abstract: One of the major problems in India is surface water pollution that is in Rivers. For the purpose of drinking, agriculture requirements and for industrial usage, an adequate amount of water quality has to be made sure and for maintaining the balance in aquaculture, water quality has to be monitored in real time. Deteriorated quality of water affects all well living beings. Traditional River water quality monitoring involves grab sampling, testing and analysis which is time consuming. In this project, determined attempts are made to design an economical system for real time monitoring of river water quality. Different physical and chemical parameters of the water are monitored using various water measuring sensor. The parameters such as temperature, hardness, dissolved oxygen; pH, turbidity and flow can be measured through sensors. The system can be enforced with Arduino model as a core controller. WI-FI module, Internet of things and GSM board can be used effectively to monitor the water quality and thereby relevant impacts for using river water safely. Keywords: 1. IOT, 2. GSM, 3. Sensors, 4. E.C.

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Design and Fabrication of Thick Film Dissolved Oxygen Sensor Based on RuO2 Working Electrodes for Water Quality Monitoring

Materials Science Forum ◽

10.4028/www.scientific.net/msf.917.59 ◽

2018 ◽

Vol 917 ◽

pp. 59-63 ◽

Cited By ~ 1

Author(s):

Goib Wiranto ◽

Slamet Widodo ◽

I Dewa Putu Hermida ◽

Roberth V. Manurung ◽

Gandi Sugandi ◽

...

Keyword(s):

Water Quality ◽

Dissolved Oxygen ◽

Thick Film ◽

Oxygen Sensor ◽

Reference Electrode ◽

Water Quality Monitoring ◽

Input Voltage ◽

Quality Monitoring ◽

Step Response ◽

Sensor Performance

A Dissolved Oxygen (DO) sensor has been designed and fabricated on an 8.5 x 22.5 mm Alumina substrate using thick film technology. The structure of the sensor device consisted of AgPd working/counter electrode, Ag/AgCl reference electrode, RuO2active layer, KCl electrolyte, and TiO2membrane. Formation of the Ag/AgCl reference electrode was done by chlorination of Ag layer using FeCl3, and the TiO2membrane was formed by screen printing of TiO2paste. Measurement was done to study the sensor’s performance based from the current-voltage characteristics between 1.1 – 1.6 V. The results showed that a stable diffusion current was obtained when the input voltage was 1.4 V, resulting in the best sensor performance with a sensitivity of 0.560 μA l/mg and a stable step response time of 4 min. The device showed highly potential to be used as candidate for online water quality monitoring system.

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REAL-TIME, ON-LINE MONITORING OF DRINKING WATER FOR WATERBORNE PATHOGEN CONTAMINATION WARNING

International Journal of High Speed Electronics and Systems ◽

10.1142/s0129156407004850 ◽

2007 ◽

Vol 17 (04) ◽

pp. 643-659 ◽

Cited By ~ 7

Author(s):

JOHN A. ADAMS ◽

DAVID MCCARTY

Keyword(s):

Water Quality ◽

Real Time ◽

Analytical Techniques ◽

Water Quality Monitoring ◽

Waterborne Pathogen ◽

Biological Contamination ◽

On Line ◽

Contamination Event ◽

Monitoring Technologies ◽

And Control

The increasing value of safe, purified water in today's global environment presents many challenges for improving water purification processes while accelerating water quality monitoring technologies. These challenges include: escalating worldwide security threats, increasing demands by consumers and regulatory agencies for higher water quality standards, and proliferation of contamination events. A major concern in protecting water purity is the detection and control of harmful microorganisms in water sources, treatment, and distribution. Due to the length of time for standard laboratory methods to yield results, typically 24-72 hours, current analytical techniques have not been able to reliably detect microorganisms in real time and provide an immediate warning of biological contamination. Through years of research and development, an emerging technology called MALS (multi-angle light scattering) can now achieve on line, real time detection and classification of microorganisms in water. The method utilizes a laser beam focused into a slip-stream of water and the light scattered by microorganisms generates unique patterns. These “bio-optical signatures” are instantaneously captured by photodetectors, matched against catalogue profiles in an on-board data base, and subsequently classified within minutes of detection. The system can then immediately alert personnel to the contamination event while extracting a water sample for further confirmation.

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