Sensor Networks based Water Quality Monitoring Systems for Intensive Fish Culture -A Review

Author(s):  
S. R. Jino Ramson ◽  
Deepthi Bhavanam ◽  
Srirupa Draksharam ◽  
anjeet Kumar ◽  
D. Jackuline Moni ◽  
...  
Author(s):  
José Jasnau Caeiro ◽  
João Carlos Martins

Internet of Things (IoT) systems are starting to be developed for applications in the management of water quality monitoring systems. The chapter presents some of the work done in this area and also shows some systems being developed by the authors for the Alentejo region. A general architecture for water quality monitoring systems is discussed. The important issue of computer security is mentioned and connected to recent publications related to the blockchain technology. Web services, data transmission technology, micro web frameworks, and cloud IoT services are also discussed.


Author(s):  
Marcio R. M. da Bessa ◽  
Antonio C. P. Brasil

To take better advantage of the water quality monitoring systems and modeling processes practices in Amazon reservoirs, this study carried out a strategic methodology to couple these two tools. As a result, Information Monitoring and a Modeling Cycle are presented in this paper. The authors integrate the well-known Processes of Simulation and Systems of Monitoring & Assessment practices and incorporated improvements realized by efforts over the past 15 years, that is, UN/ECE Task Force on Monitoring & Assessment, and National Water Quality Monitoring Council and Brazilian Reservoir (NWQMC/USA) monitoring programs.


Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1096 ◽  
Author(s):  
Ramón Martínez ◽  
Nuria Vela ◽  
Abderrazak el Aatik ◽  
Eoin Murray ◽  
Patrick Roche ◽  
...  

The deteriorating water environment demands new approaches and technologies to achieve sustainable and smart management of urban water systems. Wireless sensor networks represent a promising technology for water quality monitoring and management. The use of wireless sensor networks facilitates the improvement of current centralized systems and traditional manual methods, leading to decentralized smart water quality monitoring systems adaptable to the dynamic and heterogeneous water distribution infrastructure of cities. However, there is a need for a low-cost wireless sensor node solution on the market that enables a cost-effective deployment of this new generation of systems. This paper presents the integration to a wireless sensor network and a preliminary validation in a wastewater treatment plant scenario of a low-cost water quality monitoring device in the close-to-market stage. This device consists of a nitrate and nitrite analyzer based on a novel ion chromatography detection method. The analytical device is integrated using an Internet of Things software platform and tested under real conditions. By doing so, a decentralized smart water quality monitoring system that is conceived and developed for water quality monitoring and management is accomplished. In the presented scenario, such a system allows online near-real-time communication with several devices deployed in multiple water treatment plants and provides preventive and data analytics mechanisms to support decision making. The results obtained comparing laboratory and device measured data demonstrate the reliability of the system and the analytical method implemented in the device.


Author(s):  
Shubham Srivastava

IoT based water quality parameter monitoring system is a significant interest in the field of cost-effective smart water quality monitoring systems. As we know that the population growth of your country is high in last few decades. In India, the demand for freshwater for drinking purposes, agriculture, and other activities is much higher than compared to other countries. The requirement of a smart water quality parameter monitoring system is necessary to reduce the time required in the traditional approach of water quality monitoring, and for real time monitoring. This literature survey work has been conducted in the field of smart water quality parameter monitoring systems. Sensor-based smart water quality parameter monitoring in past some research carried out which is deployed in the water.


2020 ◽  
Vol 266 ◽  
pp. 115211
Author(s):  
Shokoufeh Pourshahabi ◽  
Gholamreza Rakhshandehroo ◽  
Nasser Talebbeydokhti ◽  
Mohammad Reza Nikoo ◽  
Fariborz Masoumi

Sign in / Sign up

Export Citation Format

Share Document