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Statistical approaches used to assess and redesign surface water-quality-monitoring networks
1Irrigation and hydraulics department, Faculty of Engineering, Helwan University, Cairo, Egypt. bahaa_khalil@ete.inrs.ca
Journal of Environmental Monitoring : JEM
|November 6, 2009
Summary
This review covers statistical methods for improving surface water quality monitoring (WQM) networks. It examines techniques for network design, assessment, and optimization to enhance water data collection.
Area of Science:
- Environmental Science
- Statistical Modeling
- Water Resource Management
Background:
- Effective surface water quality monitoring (WQM) networks are crucial for environmental management and public health.
- Existing WQM networks often require assessment and redesign to meet evolving scientific and regulatory demands.
- Statistical approaches offer robust frameworks for optimizing the design and performance of WQM networks.
Purpose of the Study:
- To present an up-to-date review of statistical methodologies for assessing and redesigning surface water quality monitoring networks.
- To critically evaluate the advantages and disadvantages of various statistical approaches from a network design perspective.
- To recommend methods for overcoming deficiencies in current statistical approaches for WQM network management.
Main Methods:
- Systematic review of statistical techniques applied to WQM network design and assessment.
- Analysis of network design components: monitoring objectives, water quality variables, sampling frequency, and spatial distribution.
- Evaluation of the suitability of different statistical approaches for network design, contraction, or expansion.
Main Results:
- Identification and categorization of key statistical approaches for WQM network assessment and redesign.
- Detailed examination of the strengths and weaknesses of each statistical method in the context of network design.
- Discussion on the practical applicability of various methods for long-term surface WQM networks.
Conclusions:
- Statistical methods are essential for the efficient and effective design and redesign of surface water quality monitoring networks.
- A comprehensive understanding of the advantages and limitations of each statistical approach is necessary for optimal network performance.
- Further development and refinement of statistical techniques are recommended to address current deficiencies in WQM network management.
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