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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
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Modeling for sustainable groundwater management: Interdependence and potential complementarity of process-based,
Daniele Secci1, Ali Kerem Saysel2, İzel Uygur3
1Department of Engineering and Architecture, University of Parma, Parma, Italy.
The Science of the Total Environment
|August 18, 2024
Summary
This study compares process-based, data-driven, and system dynamics groundwater modeling. Integrated approaches are recommended for effective groundwater resource management.
Area of Science:
- Hydrology
- Environmental Modeling
- Water Resource Management
Background:
- Groundwater systems are vital natural reservoirs supporting human needs and ecosystems.
- Managing complex, dynamic groundwater systems requires advanced modeling techniques.
- Three distinct modeling approaches are evaluated for their application in groundwater management.
Purpose of the Study:
- To discuss the strengths and limitations of process-based, data-driven, and system dynamics modeling.
- To demonstrate these modeling approaches using the Konya Closed Basin in Turkey.
- To highlight the need for integrated modeling for enhanced groundwater management.
Main Methods:
- Process-based modeling: theory-driven, computationally intensive, parameter-sensitive.
- Data-driven modeling: efficient, relies on extensive datasets, suitable for real-time applications.
- System dynamics modeling: integrates socio-economics and decision-making for policy development.
Main Results:
- Process-based models are powerful for resource management with defined scenarios.
- Data-driven models excel with sufficient data, ideal for decision support systems.
- System dynamics modeling aids policy development by incorporating socio-economic factors.
Conclusions:
- Each modeling approach has unique strengths and limitations.
- The Konya Closed Basin case study illustrates the practical application of these models.
- An integrated use of these modeling approaches is crucial for comprehensive groundwater management.
Keywords:
Data-driven modelingIrrigated agricultureProcess-based modelingSystem dynamics modelingWater resources managementMore Related Videos
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