Wireless Sensor Networks for Water Quality Monitoring: A Case of Zambia

Chaamwe, Nchimunya

doi:10.1109/icbbe.2010.5515792

Cited by 15 publications

(13 citation statements)

References 27 publications

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“…Little progress has been made in Zambia on sensors for monitoring water quality via the internet of things. [10] Contaminant wastewater loads from mines, industry and agriculture activities dumped into the Kafue River System deteriorated the river's quality of water [11]. [9] [12] researched a 'smart water quality monitoring system using cost-effective IoT.…”

Section: Literature Reviewmentioning

confidence: 99%

Model for Water Quality Monitoring Based on Internet of Things

Zimba¹,

Chembe²

2022

zictjournal

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In Lusaka, water pollution has been a problem for many decades, which has led to outbreaks of various waterborne diseases such as cholera, dysentery, and many more. In this research, we proposed a water quality monitoring system based on the Internet of Things (IoT). IoT relies on sensors to measure different parameters in water and report the results in real-time. The real-time information obtained from sensors through the IoT system can be used to warn users if there is any contamination in the water before the community gets infected. The deliverables for this research project are 1) Water quality monitoring using IoT sensors; 2) a dashboard to show water analysis from sensors, and 3) a mobile application to notify users should there be contamination of water. The results were obtained through the testing of water collected from various sources. Others results collected are dairy gold milk, undiluted Coolsplash juice and combination of other mixture. The results obtained show that IoT technology can be used to detect water quality. The model design has demonstrated to be effective based on the results obtained from the experiments. The proposed prototype can be used to help monitor water quality in Zambia.

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Section: Literature Reviewmentioning

confidence: 99%

Model for Water Quality Monitoring Based on Internet of Things

Zimba¹,

Chembe²

2022

zictjournal

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“…There have been several implementations of WSN-based WQM systems that have been tested or deployed in Australia [Silva et al 2011;Rao et al 2013], China [Jiang et al 2009;Jin et al 2010 [Wiranto et al 2015], Ireland [O'Flyrm et al 2007;Regan et al 2009;O'Connor et al 2012;Garcia et al 2012;Murphy et al 2015], Malawi [Zennaro et al 2009], Malaysia [Rasin and Abdullah 2009], Mexico [Curiel et al 2016], Peru [Ritter et al 2014], Portugal [Postolache et al 2014], Tanzania [Faustine et al 2014], Turkey [Tuna et al 2014], and the United States [Yang et al 2002;Seders et al 2007;Burke and Allenby 2014;Sun et al 2016]. Details of these systems are summarized in Tables VIII and IX. In addition to these implementations, researchers in China [Yang and Pan 2010;Chen et al 2011], India [Verma and Prachi 2012], the kingdom of Saudi Arabia [Aleisa 2013], and Zambia [Chaamwe 2010] describe the limitations of the current WQM practice adopted in their region, and they propose the idea and present the benefit of automating WQM through the adoption of WSN technologies. These different implementations agree on a general WSN-based WQM framework, which includes the use of WSNs, a local monitoring station (or BS), and a remote monitoring station, as described is Section 5.1.…”

Section: Implementations Of Wsn-based Wqm Systemsmentioning

confidence: 99%

“…These different implementations agree on a general WSN-based WQM framework, which includes the use of WSNs, a local monitoring station (or BS), and a remote monitoring station, as described is Section 5.1. However, most of the existing solutions only focus on the design and implementation of the local monitoring network (i.e., a WSN and local monitoring station), either through laboratory feasibility testing [Chaamwe 2010;Wang et al 2011;Chen et al 2011] or field deployment [Seders et al 2007; O'Flyrm et al 2007;Sun et al 2016], and some of the references actually include the final interconnection with the remote monitoring station [Yang and Pan 2010;Silva et al 2011;Alkandari et al 2011;O'Connor et al 2012;Faustine et al 2014]. Several works provide automated warning signals displayed on computer screens or communicated to decision makers via text or email.…”

Section: Implementations Of Wsn-based Wqm Systemsmentioning

confidence: 99%

“…To design and deploy WSNs to monitor freshwater sources, different factors are considered, including the sensing capabilities of the sensor nodes, the type of communication (radio or acoustic), signal processing, and network topology. WSN systems are employed to monitor freshwater sources and to measure water quality parameters such as temperature, pH, turbidity, and dissolved oxygen (DO) [Rasin and Abdullah 2009;Chaamwe 2010;Nasser et al 2013]. In WQM, sensor nodes communicate using radio communication technologies for surface water monitoring and acoustic communication for underwater monitoring, either locally or remotely.…”

Section: Introductionmentioning

confidence: 99%

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Water Quality Monitoring Using Wireless Sensor Networks

Adu-Manu

Tapparello

Heinzelman

et al. 2017

ACM Trans. Sen. Netw.

241

128

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Water is essential for human survival. Although approximately 71% of the world is covered in water, only 2.5% of this is fresh water; hence, fresh water is a valuable resource that must be carefully monitored and maintained. In developing countries, 80% of people are without access to potable water. Cholera is still reported in more than 50 countries. In Africa, 75% of the drinking water comes from underground sources, which makes water monitoring an issue of key concern, as water monitoring can be used to track water quality changes over time, identify existing or emerging problems, and design effective intervention programs to remedy water pollution. It is important to have detailed knowledge of potable water quality to enable proper treatment and also prevent contamination. In this article, we review methods for water quality monitoring (WQM) from traditional manual methods to more technologically advanced methods employing wireless sensor networks (WSNs) for in situ WQM. In particular, we highlight recent developments in the sensor devices, data acquisition procedures, communication and network architectures, and power management schemes to maintain a long-lived operational WQM system. Finally, we discuss open issues that need to be addressed to further advance automatic WQM using WSNs.

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“…Its speed changes with different rate of flow. The hall-effect sensor outputs the corresponding pulse signal [15]. This model (YF-S201) works in the voltage 5v to 18 and can handle water speed up to 2 mpa.…”

Section: B Sensorsmentioning

confidence: 99%

IoT Based Smart Water Quality Monitoring and Prediction System

Kamidi,

Sabbi,

Sanniti

2019

IJEAT

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As indicated by Human Rights Watch, twenty million individuals in our nation are as yet drinking water defiled with arsenic. The World wellbeing Organization (WHO) has likewise expressed this emergency as "the biggest mass harming of a populace ever". To diminish the water related ailments and avoid water populace, we need to quantify water parameters, for example, ph, turbidity, conductivity, temperature and so on. Conventional approach of water observing requires gathering information from different sources physically. A while later examples will send lab for testing and breaking down. So as to spare time utilization and diminishing manual exertion my testing supplies will be put in any water source. Thus, this model can distinguish contamination remotely and take essential activities. The primary objective of this paper to assemble a Sensor-based Water Quality Monitoring System. Arduino Mega 2560 go about as a base station and information from sensor hubs will be send to it. For the scholastic reason, this paper exhibits a little model of sensor systems comprising of temperature, water level, stream and ph. At that point ph and temperature sensor esteems were sent cloud stage (ARTIK cloud) and showed as a graphical portrayal on a neighborhood PC. In addition, GSM shield (SIM808) is associated with Arduino Mega which thinks about sensor esteems to edge esteems and sends a text-based notification to the operator if the got esteem is above or underneath the edge esteem. The aftereffects of this undertaking are talked about in the outcome area of the paper. We tried three water tests from three diverse water sources, (for example, modern water, faucet water and pool water). Three water tests gathered from three distinctive swimming pools.(Except one example) Ph esteem found in rest of the examples were in typical range (temperature esteem between 26-27'C). Result segment (in page 20) clarifies our venture discoveries in subtleties.

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Wireless Sensor Networks for Water Quality Monitoring: A Case of Zambia

Cited by 15 publications

References 27 publications

Model for Water Quality Monitoring Based on Internet of Things

Model for Water Quality Monitoring Based on Internet of Things

Water Quality Monitoring Using Wireless Sensor Networks

IoT Based Smart Water Quality Monitoring and Prediction System

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