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The environmental Integrated Water Quality Management System (IQMS) can be used to monitor water / effluent quality by the Utility / Municipality.
Water quality management includes the systematic collection of physical, chemical and biological information, and the analysis, interpretation and reporting of those measurements, according to a pre-planned design and structure. Effective quality management programs include the following components:

  • Information requirements and objectives.
  • Sampling programs including type, scale and measurement parameters.
  • Sampling methodology.
  • Laboratory and field analysis.
  • Quality assurance and quality control procedures
  • Statistical analysis and interpretation of the data
  • Reporting and dissemination of information to various stakeholders

The EDAMS Water Quality Management System has been specifically designed to meet the requirements identified above. It supports a proprietary data structure that makes it eminently suitable for use in both monitoring and management of quality data. The system can be used effectively as the main operational monitoring tool acting as a trigger for immediate corrective actions to operational procedures, thereby improving drinking quality.

water quality monitoring Chart

Water Quality Management Modules – main features & more information

The table below lists the different modules of the EDAMS Integrated Quality Management (IQM)

CodeNameBrief descriptionRead more
EDAMS Integrated Quality Management (IQM)
IQM-QUALLibrary & Settings
  • Library with Regulations Governing the Quality of Drinking Water/ Air and Ground
  • User definable Standard Analyses
  • Sampling Point records
  • Analysis of Historical Records
  • provides a link to laboratory systems & records
  • Module is also integrated with the EDAMS-Infrastructure Planning and Asset Management System (NAM)
EDAMS
Water Quality Management Information System (WQMIS) 3.1
Quality Analysis
  • Statistical analysis and interpretation of the data
  • Highlights discrepancies and raises alarms
  • Analysis of Historical Records
Operations
  • Monitors and controls the sampling post-process by instigating re-sampling on failed parameters, maintenance requests or ordering of new samples
  • Samples are be grouped and filtered in a tree format for easier follow up and monitoring; filters include period, project, sampling group etc..
  • Standard Reports are included in terms of failure analysis and follow up actions
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