A Smart Monitoring of a Water Quality Detector System

Samsudin, Sharatul Izah; Salim, Sani Irwan Md; Osman, Khairuddin; Sulaiman, Siti Zubaidah; Sabri, M. I. A.

doi:10.11591/ijeecs.v10.i3.pp951-958

Cited by 20 publications

(10 citation statements)

References 9 publications

(11 reference statements)

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“…Emphasis on the Government's efforts to improve community awareness about environmental sustainability through conservation programs in Malaysia is gaining the attention of all walks of life (Samsudin et al, 2018). Environmental conservation programmes is in line with the requirements of Agenda 21 which require the involvement of the community as a whole and here the role to increase community awareness requires an initiative interesting, simple, fun and a more recent (up to date) in order to stimulate the interest of the community.…”

Section: Discussionmentioning

confidence: 99%

“…Awareness in the safeguard and the cleanliness of the river should be enhanced among the community at large. Development of tools that can measure the level of index river water this can increase knowledge and awareness in maintaining river and life (Samsudin et al, 2018). This tool is manufactured by reading a function record river through special sensor in IoT.…”

Section: Discussionmentioning

confidence: 99%

“…The shameless act of disposing trash into the sea has impacted their quality negatively deeply. Smokes from factories rose and soon form acidic rain that will pour on the land and water (Samsudin, Salim, Osman, Sulaiman, & Sabri, 2018). It's absolutely no wonder the quality of the sea are plummeting.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The production of tools that can measure the level of health (water quality 8 index) chemically (Samsudin et al, 2018). This tool is produced by reading recording function to evaluate the quality level through the special sensor of Internet of Thing.…”

Section: Problem Statementmentioning

confidence: 99%

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The development of water quality monitoring system using internet of things

Yasin

Yunus

Wahab

2020

JELS

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Biological diversity or biodiversity is an important element in the river water management system. The interaction between the various organisms in the river makes it a very complex ecological system. Therefore, water safety issues are a very important issue. Consumer complaints and reports made by the relevant government departments indicate that consumers are dissatisfied with the quality of water supplied. Hence, a concept in which equipment, machines, sensors and devices are connected to the Internet and there is data collection and transfer through the network developed to follow the river water quality index. Integration of the elements of sustainability and IR4.0 through the Internet of Thing by adopting electronic and Internet applications of Thing has a very positive impact to refresh the approach to lesions in Malaysia. The project aims to develop a wireless water quality monitoring system that aids in continuous measurements of water conditions based on pH and turbidity measurements. The developed system was successfully detecting both the pH and turbidity values. Water analysis and monitoring is a very important aspect of water conservation and protection. Water is a vital resource that runs more quickly overtime. To ensure continued supply of safe, clean drinking water, together as community to protect and to this vital resource.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Problem Statementmentioning

confidence: 99%

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The development of water quality monitoring system using internet of things

Yasin

Yunus

Wahab

2020

JELS

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“…"Chirp spread spectrum" was applied in army and galaxy communication years ago for more widespread communication distance strength against interfering. LoRa is the primary cheap application for marketable usage [4][5][6][7]. The benefit of LoRa is its extended distance ability.…”

Section: Introductionmentioning

confidence: 99%

A smart monitoring and controlling for agricultural pumps using LoRa IOT technology

Ali

Chisab

Mnati

2019

IJEECS

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<p>Controlling electrical pumps on farms can be problematic, especially if there are a small number of people managing or working on huge areas of land and if the provision of electricity is not consistent. Therefore, further techniques for the management of plant irrigation on this type of land are being invented to make the process of irrigation easier. In this paper, a new intelligent device is designed and utilized to control the operation of irrigation pumps using a robust method of communication to transfer information at long distances, for the lowest cost, and the longest battery life. This technology is called LoRa (Long Range) communication, which is a low-power technology. The unit consists of two circuits: the first one is for switching the pumps ON and OFF, while the second one controls and monitoring the work of the pumps. Monitoring of the pumps can also be carried out through smart phones by measuring the voltage. The most important features of this new design are its intelligent control for long distances, cheap price, and a long operational life of more than five years. The goal of this paper is to help farmers by designing and manufacturing a remote-control system that switches irrigation pumps on and off using LoRa technologies.</p>

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Delineating Effluent Exposure and Cumulative Ecotoxicological Risk of Metals Downstream of a Saskatchewan Uranium Mill Using Autonomous Sensors

Cupe-Flores

Mendes

Panigrahi

et al. 2022

Enviro Toxic and Chemistry

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There is increasing interest in using autonomous sensor technology to monitor aquatic ecosystems in real time and in employing such monitoring data to perform better ecological risk assessments. At seven locations in McClean Lake in northern Saskatchewan (Canada) that received diluted uranium milling effluent, we deployed sensor units to track effluent distribution and help predict potential biological effects on aquatic invertebrates. Water was also collected from each location on multiple occasions to measure major ions, dissolved metals, and routine water quality, and sediment was sampled to analyze total metals. The ecotoxicological risk to aquatic invertebrates was estimated using hazard quotients (HQs). The cumulative risk was estimated by summing the individual HQs, and the major ions risk was based on total osmolarity. The results indicated temporal and spatial variations in effluent exposure based on sensor electrical conductivity (EC) measurements in the McClean Lake East Basin. Individual HQs for water ranged from “moderate” (0.40–0.69) to “very high” (greater than 1) for silver, cadmium, arsenic, selenium, mercury, iron, and thallium. At all sites, major ions risk was less than 1. Individual HQs for sediment were “moderate” (0.40–0.69), “high” (0.7–0.99), and “very high” (greater than 1) for vanadium and cadmium. The cumulative risk in water and sediment for all metals combined was greater than 1 at some sites in Vulture Lake (which discharged into McClean Lake) and in McClean Lake itself. A more detailed estimation of the risks for aqueous selenium and arsenic (the only two metals that had good correlation with sensor EC data) indicated that their 90th percentile HQ values were less than 1 in McClean Lake, suggesting that these contaminants of concern do not represent a significant direct risk to aquatic invertebrate communities. Environ Toxicol Chem 2022;41:1765–1777. © 2022 SETAC

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A Smart Monitoring of a Water Quality Detector System

Cited by 20 publications

References 9 publications

The development of water quality monitoring system using internet of things

The development of water quality monitoring system using internet of things

A smart monitoring and controlling for agricultural pumps using LoRa IOT technology

Delineating Effluent Exposure and Cumulative Ecotoxicological Risk of Metals Downstream of a Saskatchewan Uranium Mill Using Autonomous Sensors

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