Integrated Strategy of Water Quality Monitoring and Simulation for Amazon Reservoirs

2010 ◽  
Vol 1 (2) ◽  
pp. 1-12
Author(s):  
Marcio R. M. da Bessa ◽  
Antonio C. P. Brasil
Keyword(s):  
Water Quality ◽  
Task Force ◽  
Water Quality Monitoring ◽  
Modeling Processes ◽  
Quality Monitoring ◽  
Monitoring Systems ◽  
Assessment Practices ◽  
The Past ◽  
Information Monitoring ◽  
National Water

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.

Integrated Strategy of Water Quality Monitoring and Simulation for Amazon Reservoirs

2012 ◽  
pp. 60-72
Author(s):  
Marcio da R. M. Bessa ◽  
Antonio C. P. Brasil
Keyword(s):  
Water Quality ◽  
Task Force ◽  
Water Quality Monitoring ◽  
Modeling Processes ◽  
Quality Monitoring ◽  
Monitoring Systems ◽  
Assessment Practices ◽  
Information Monitoring ◽  
Integrated Strategy ◽  
National Water

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.

Systems view of integrated water quality monitoring within the requirements of the new national water policy in South Africa

1998 ◽  
Vol 38 (11) ◽  
pp. 141-148 ◽  
Author(s):  
P. Marjanovic ◽  
M. Miloradov
Keyword(s):  
South Africa ◽  
Water Quality ◽  
Water Policy ◽  
Systems Approach ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Point Sources ◽  
Quality Monitoring ◽  
Efficient Manner ◽  
National Water

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.

scholarly journals Water Management for Rural Environments and IoT

2019 ◽  
pp. 83-99 ◽  
Author(s):  
José Jasnau Caeiro ◽  
João Carlos Martins
Keyword(s):  
Water Management ◽  
Water Quality ◽  
Computer Security ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Monitoring Systems ◽  
Blockchain Technology ◽  
Rural Environments ◽  
General Architecture ◽  
Work Done

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.

scholarly journals Technical note: An anomaly in pH data in South Africa’s national water quality monitoring database – implications for future use

Water SA ◽  
2018 ◽  
Vol 44 (4 October) ◽  
Author(s):  
Carla-Louise Ramjukadh ◽  
Michael Silberbauer ◽  
Susan Taljaard
Keyword(s):  
Water Quality ◽  
Analytical Methods ◽  
Water Quality Monitoring ◽  
Technical Note ◽  
Buffering Capacity ◽  
Monitoring Programme ◽  
Quality Monitoring ◽  
Total Alkalinity ◽  
Meta Data ◽  
National Water

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.

Advanced River Quality Monitoring in the Ruhr Basin

1999 ◽  
Vol 40 (10) ◽  
pp. 145-152 ◽  
Author(s):  
Harro Bode ◽  
Ernst A. Nusch
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
The European Union ◽  
Wastewater Discharge ◽  
The Past ◽  
Monitoring Strategies ◽  
River Quality ◽  
On Line

The water quality management of Ruhr River Association is challenged by the dual use pattern, i. e. drinking water supply and wastewater discharge simultaneously into the same river. In the past 10 years accidental or illegal pollution occurred statistically every twenty days. Identification of water pollutants (and polluters) was often impossible because water samples could not be secured for analysis in time. The water quality surveillance system could be extended with financial support of the European Union by another two automated monitoring stations equipped with sophisticated on-line analysators (e. g. for ammonia, chromium, chlorophyll fluorescence) and biomonitors using water fleas and mussels as detectors. Monitoring strategies, methods, techniques and costs for buildings, equipment and operation are reported. Experience and results obtained so far let assume that the integrated water quality monitoring is able to prove its merits concerning reconnaissance of accidental water pollution and subsequent early warning of water works.

scholarly journals Study of IoT Based Smart Water Quality Monitoring System

2021 ◽  
Vol 9 (VIII) ◽  
pp. 794-799
Author(s):  
Shubham Srivastava
Keyword(s):  
Water Quality ◽  
Monitoring System ◽  
Traditional Approach ◽  
Water Quality Monitoring ◽  
Quality Parameter ◽  
Quality Monitoring ◽  
Water Quality Parameter ◽  
Monitoring Systems ◽  
Smart Water ◽  
Parameter Monitoring

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.

Handling uncertainty in optimal design of reservoir water quality monitoring systems

2020 ◽  
Vol 266 ◽  
pp. 115211
Author(s):  
Shokoufeh Pourshahabi ◽  
Gholamreza Rakhshandehroo ◽  
Nasser Talebbeydokhti ◽  
Mohammad Reza Nikoo ◽  
Fariborz Masoumi
Keyword(s):  
Water Quality ◽  
Optimal Design ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Monitoring Systems ◽  
Reservoir Water
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