Low-cost automated GPS, electrical conductivity and temperature sensing device (EC + T Track) and Android platform for water quality monitoring campaigns

Blanco-Gómez, Pablo; Jiménez-García, José Luis; Cecilia, José M.

doi:10.1016/j.ohx.2022.e00381

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…Twenty people participated in the experiment, (1) For each element in Y 0 i , first, the pointer, P, points to the first element. ( 2) For (P points to each element y i one by one, q i ¼ 0, i ++ ) (3) Traverse the vector Y 0 i ; (4) If the distance between y i and y j satisfies the condition dist i y i ; ð y j Þ ≤ β; (5) Then q i ¼ q i þ 1, i.e., the value of the variable q i increases by 1; (6) Endif ( 7) Endfor (8) Get the array q 1 ; ½ q 2 ; …; q i ; …; q k 0 i ; (9) Find the set Q with equal q i in q 1 ; ½ q 2 ; …; q i ; …; q k 0 i , and q i is the largest in q 1 ; ½ q 2 ; …; q i ; …; q k 0 i ; (10) In array Y 0 i , elements with the same subscript as elements in Q are similar elements.…”

Section: Methodsmentioning

confidence: 99%

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Truth Discovery Technology for Mobile Crowd Sensing in Water Quality Monitoring

Chen

Mao

2023

Wireless Communications and Mobile Computing

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The water quality of urban inland rivers is an important index of urban environmental health, which can reflect a city’s development level and its social and economic development. The water quality of these rivers strongly impacts the health and quality of life of the residents of urban and surrounding areas. Therefore, it is necessary to accurately assess the quality of water in urban inland rivers, which can also aid environmental protection departments in providing river governance. Generally, the water quality status of a city’s inland rivers is assessed and released by environmental monitoring stations in various regions that deploy the corresponding water quality detection equipment at certain major locations of the river. However, these detection devices can only detect water quality at fixed locations, and often, the water quality of an urban inland river changes owing to the impact of the surrounding environment and residents it serves. Therefore, the water quality around a detection point does not always reflect the water quality of the entire river section. To better express the water quality status of a city’s inland river, we propose a method based on a mobile crowd-sensing system that obtains the water quality data of the river during an entire period of time and then fuzes these sensing data to obtain the best truth-value estimate of the water quality of the river. We can use this water quality truth value to conduct an objective evaluation of the water quality of a city’s inland rivers. The water quality parameters obtained by the method can better represent the water quality status of the river, and the data are more accurate compared to the data collected and released by an environmental monitoring station. Through simulation and comparative analysis, we found that the water quality data obtained by the proposed method were more accurate, indicating that our method has more practical value than the detection device method.

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Section: Methodsmentioning

confidence: 99%

“…Blanco-Gómez et al [10] developed a low-cost monitoring system that can be integrated in a small buoy and attached to fishing and recreational boats, allowing citizens to gather water quality information (i.e., electrical conductivity (EC) and temperature) with their smartphones.…”

Section: Related Workmentioning

confidence: 99%

Truth Discovery Technology for Mobile Crowd Sensing in Water Quality Monitoring

Chen

Mao

2023

Wireless Communications and Mobile Computing

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“…The first category comprises studies detailing developing and fabricating sensors explicitly designed to monitor water quality [55], [128]. For instance, Blanco-Gómez et al [129] designed a low-cost prototype device capable of continuously measuring electrical conductivity (EC) and temperature, while Abbas et al [130] developed a suite of sensors, including a water flow sensor, a waterproof ultrasonic sensor, and two temperature sensors, designed for the measurement of both water and ambient temperatures. On the other hand, the second category of studies focuses on utilizing commercially available kits and commercial off-the-shelf sensors for water quality monitoring [131], [132], [133], [134].…”

Section: ) Sensors and Sensing Technologiesmentioning

confidence: 99%

“…Additionally, studies by Sacoto-Cabrera et al [55] and Saravanan et al [32] documented that IoT-based water quality monitoring systems have improved water quality management in urban areas. The second categorization is rooted in the purpose of the IoT monitoring system, which includes surface water quality monitoring [128], [129], [131], [138], drinking water quality monitoring [32], [135], [143], water quality monitoring during floods [146], agricultural water quality monitoring [133], [141], and method-oriented water quality monitoring without any implementation [130], [139]. The analyzed studies have also utilized various methods to evaluate the performance of IoT-based water quality monitoring systems, showcasing their potential for managing water quality challenges.…”

Section: ) Applications and Case Studiesmentioning

confidence: 99%

IoT Innovations in Sustainable Water and Wastewater Management and Water Quality Monitoring: A Comprehensive Review of Advancements, Implications, and Future Directions

Alshami,

Ali,

Elsayed

et al. 2024

IEEE Access

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This comprehensive review explores IoT innovations in water, wastewater management, and water quality monitoring, emphasizing the transformative potential of these technologies. Combining sociometric and systematic review (SR) techniques, the study analyzes scientometric trends and co-occurrence networks linked to review topics. Research primarily centers on these aspects, averaging 15 articles annually since 2017, peaking at 24 in 2021. The SR unveils the widespread use of multiple sensors in monitoring, particularly water level, flow, and pH sensors. Common wireless technologies are emphasized for their role in advancing real-time monitoring. Innovative protocols such as Sigfox and Zigbee enhance sensor-IoT connectivity, improving communication in infrastructure management. Common challenges hindering system efficiency and data flow include sensor accuracy, energy optimization, communication reliability, interdisciplinary collaboration, and sensor coverage. Addressing these gaps is crucial for advancing IoT-driven water systems and enhancing decision-making. This study guides IoT practitioners in integrating automation and sustainability in water and wastewater management.

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