Building a National Water Quality Monitoring Program

1995 ◽  
Vol 29 (10) ◽  
pp. 458A-463A ◽  
Author(s):  
MARY POWELL
Keyword(s):  
Water Quality ◽  
Monitoring Program ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
National Water

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.

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.

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.

Developing an environmental water quality monitoring program for Haraz River in Northern Iran

2017 ◽  
Vol 189 (8) ◽  
Author(s):  
Mitra Tavakol ◽  
Reza Arjmandi ◽  
Mansoureh Shayeghi ◽  
Seyed Masoud Monavari ◽  
Abdolreza Karbassi
Keyword(s):  
Water Quality ◽  
Monitoring Program ◽  
Water Quality Monitoring ◽  
Environmental Water ◽  
Quality Monitoring ◽  
Northern Iran ◽  
Haraz River

Spatial and Temporal Assessment of Titiwangsa Lake Water Quality Using Chemometrics Analysis

2018 ◽  
Vol 7 (3.14) ◽  
pp. 20
Author(s):  
Hafizan Juahir ◽  
Adiana Ghazali ◽  
Azimah Ismail ◽  
Mahadzirah Mohamad ◽  
Firdaus Mohamad Hamzah ◽  
...  
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Monitoring Program ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Current Status ◽  
Small Scale ◽  
Lake Water Quality ◽  
Night Time ◽  
Time Period

Titiwangsa Lake is a renowned recreational lake in Kuala Lumpur, Malaysia. The present study was purposely to define the current status of Titiwangsa Lake water quality and propose a water quality monitoring program to conserve and sustain the health of this lake. Samples were collected in January 2017 during the day and night-time periods. Spatial classification using hierarchical agglomerative cluster analysis (HACA) has clustered the sampling stations into low, medium and high contaminated areas. Temporal classification of discriminant analysis (DA) forward stepwise mode has highlighted DO, chlorophyll-a and E-coli are the significant variables. They showed a lower range of data during the day-time period compared to night-time period. DA backward stepwise model showed  significant variables of total suspended solid (TSS) and total phosphate (TP) were higher in concentration during the day-time period as compared to night-time period. The significant of varimax factors (VFs) in the principal component analysis (PCA) might contribute by the landscaping, small-scale domestic wastewater, urban stormwater and land erosion. In a nutshell, based on HACA classification, samples can be collected at only three stations represent each cluster during the next water quality monitoring activities as this could reduce the time and cost of sampling and sample analysis. 

Determining the Statistical Sensitivity of the Water Quality Monitoring Program in the Taylor – Nubbin Slough, Florida Project

1988 ◽  
Vol 4 (2) ◽  
pp. 113-124 ◽  
Author(s):  
Jean Spooner ◽  
Sarah L. Brichford ◽  
Richard P. Maas ◽  
Michael D. Smolen ◽  
David A. Dickey ◽  
...  
Keyword(s):  
Water Quality ◽  
Monitoring Program ◽  
Water Quality Monitoring ◽  
Quality Monitoring

Successful Integration Efforts in Water Quality From the Integrated Ocean Observing System Regional Associations and the National Water Quality Monitoring Network

2011 ◽  
Vol 45 (1) ◽  
pp. 19-28
Author(s):  
Rob Ragsdale ◽  
Eric Vowinkel ◽  
Dwayne Porter ◽  
Pixie Hamilton ◽  
Ru Morrison ◽  
...  
Keyword(s):  
Water Quality ◽  
Monitoring Network ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Water Quality Monitoring Network ◽  
Regional Associations ◽  
Beach Water Quality ◽  
Ocean Observing ◽  
Beach Water ◽  
National Water

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.

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