Integrated Strategy of Water Quality Monitoring and Simulation for Amazon Reservoirs

Author(s):  
Marcio da R. M. 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.

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.


1998 ◽  
Vol 38 (11) ◽  
pp. 141-148 ◽  
Author(s):  
P. Marjanovic ◽  
M. Miloradov

The new National water policy will change the way water quality is managed in South Africa. The paper considers the water policy and the repercussions it will have for water quality monitoring in South Africa. Using the systems approach the paper discusses an integrated water quality monitoring system for ambient water quality and point and non point sources of aquatic pollution. The proposed methodology makes possible continuos assessment of water quality in an efficient manner so as to support water quality management in South Africa.


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.


Water SA ◽  
2018 ◽  
Vol 44 (4 October) ◽  
Author(s):  
Carla-Louise Ramjukadh ◽  
Michael Silberbauer ◽  
Susan Taljaard

The South African national water quality database (Water Management System) houses data records from several environmental monitoring programmes, including the National Chemical Monitoring Programme (NCMP). The NCMP comprises an extensive surface water quality monitoring programme, managed by the Department of Water and Sanitation (DWS). The purpose of this technical note is to alert users to a systematic anomaly recently observed in the pH dataset of the NCMP, reflected in an abrupt increase between pre- and post-1990 data records. Although the cause of the anomaly in pH could not be confirmed with high confidence, an inappropriate acid rinse procedure in pre-1990 analytical methods was identified as the most likely cause, based on available evidence. This was supported by the variation in relative sensitivity when comparing the effect on waters with different buffering capacities, i.e., water with low buffering capacity (represented by total alkalinity < 10 mg/L, as CaCO3) showing the largest anomaly, compared with waters of higher buffering capacity (represented by total alkalinity > 30 mg/L, as CaCO3) showing the smallest anomaly. Historical pH data records in the NCMP (i.e. pre-1990), therefore should be used with caution, especially in more weakly buffered systems. The possibility of reconstructing data using a correction factor derived from detailed statistical analyses of the post-1990 pH characteristics at selected sites is a possible solution that could be investigated in future. A key lesson learnt is the need to be diligent in capturing detailed meta-data on sampling procedures and analytical methods in datasets spanning several generations. Availability of such information is critical in order to provide users with a means of evaluating the suitability and comparability of data records in long-term datasets. The DWS includes such meta-data in the current version of the database, dating from about 1995 onwards.


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

2011 ◽  
Vol 45 (1) ◽  
pp. 19-28
Author(s):  
Rob Ragsdale ◽  
Eric Vowinkel ◽  
Dwayne Porter ◽  
Pixie Hamilton ◽  
Ru Morrison ◽  
...  

AbstractThe Integrated Ocean Observing System (IOOS®) Regional Associations and Interagency Partners hosted a water quality workshop in January 2010 to discuss issues of nutrient enrichment and dissolved oxygen depletion (hypoxia), harmful algal blooms (HABs), and beach water quality. In 2007, the National Water Quality Monitoring Council piloted demonstration projects as part of the National Water Quality Monitoring Network (Network) for U.S. Coastal Waters and their Tributaries in three IOOS Regional Associations, and these projects are ongoing. Examples of integrated science-based solutions to water quality issues of major concern from the IOOS regions and Network demonstration projects are explored in this article. These examples illustrate instances where management decisions have benefited from decision-support tools that make use of interoperable data. Gaps, challenges, and outcomes are identified, and a proposal is made for future work toward a multiregional water quality project for beach water quality.


Sign in / Sign up

Export Citation Format

Share Document