Connected Sensors, Innovative Sensor Deployment, and Intelligent Data Analysis for Online Water Quality Monitoring

The sensor technology for water quality monitoring (WQM) has improved during recent years. The cost-effective sensorised tools that can autonomously measure the essential physical-chemical-biological (PCB) variables are now readily available and are being deployed on buoys, boats, and ships. Yet, th...

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Bibliographic Details
Published in:IEEE Internet of Things Journal
Main Authors: Manjakkal, Libu, Mitra, Srinjoy, Petillot, Yvan R., Shutler, Jamie, Scott, E. Marian, Willander, Magnus, Dahiya, Ravinder
Format: Article in Journal/Newspaper
Language:English
Published: Linköpings universitet, Fysik, elektroteknik och matematik 2021
Subjects:
Sensors
Monitoring
Robot sensing systems
Water pollution
Intelligent sensors
Water quality
Pollution measurement
Connected sensors
intelligent data analysis
Internet of Things (IoT)
robotics
sensor deployment
water quality monitoring (WQM)
Communication Systems
Kommunikationssystem
Orca
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-180887
https://doi.org/10.1109/JIOT.2021.3081772
Description
Summary:The sensor technology for water quality monitoring (WQM) has improved during recent years. The cost-effective sensorised tools that can autonomously measure the essential physical-chemical-biological (PCB) variables are now readily available and are being deployed on buoys, boats, and ships. Yet, there is a disconnect between the data quality, data gathering, and data analysis due to the lack of standardized approaches for data collection and processing, spatiotemporal variation of key parameters in water bodies and new contaminants. Such gaps can be bridged with a network of multiparametric sensor systems deployed in water bodies using autonomous vehicles, such as marine robots and aerial vehicles to broaden the data coverage in space and time. Furthermore, intelligent algorithms [e.g., artificial intelligence (AI)] could be employed for standardized data analysis and forecasting. This article presents a comprehensive review of the sensors, deployment, and analysis technologies for WQM. A network of networked water bodies could enhance the global data intercomparability and enable WQM at a global scale to address global challenges related to food (e.g., aqua/agriculture), drinking water, and health (e.g., water-borne diseases). Funding Agencies|Engineering and Physical Sciences (EPSRC)UK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/R029644/1]; ORCA hub [EP/R026173/1]; European Commission through AQUASENSE [H2020-MSCA-ITN-2018-813680]

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