Evaluating lake water quality with a GIS-based MCDA integrated approach: a case in Konya/Karapınar
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View abstract on PubMed
Summary
This summary is machine-generated.This study presents a systematic approach to evaluate lake water quality using Geographic Information System (GIS) and analytic hierarchy process (AHP). The method creates comprehensive lake water quality maps from limited data for effective environmental management.
Area Of Science
- Environmental Science
- Water Resource Management
- Geographic Information Systems
Background
- Effective environmental planning and management necessitate robust water quality assessment.
- Developing analytical decision-support systems is crucial for protecting and managing water resources.
Purpose Of The Study
- To propose a systematic approach for evaluating lake water quality.
- To create comprehensive lake water quality maps using integrated spatial analysis and multi-criteria decision analysis.
Main Methods
- Utilized inverse distance weighting (IDW) for spatial data prediction.
- Integrated Geographic Information System (GIS) with analytic hierarchy process (AHP) for multi-criteria decision analysis (MCDA).
- Reclassified data into five classes, combined temporal-spatial data, and overlaid with topography, geology, and land use.
Main Results
- Categorized water quality parameters into groups (hardness, nutrients, solids, metals, oil-grease) with assigned weights.
- Successfully generated accurate lake water quality maps through weighted analysis.
- Demonstrated the approach's flexibility and applicability even with limited sampling data.
Conclusions
- The proposed systematic approach effectively evaluates lake water quality.
- The integrated GIS-AHP methodology provides a flexible and accurate tool for water resource assessment.
- This method enables the creation of comprehensive water quality maps, aiding environmental planning and management.
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