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Soft computing techniques toward modeling the water supplies of Cyprus
1Democritus University of Thrace, Department of Forestry & Management of the Environment & Natural Resources, 193 Pandazidou street, 68200 N Orestiada, Greece. liliadis@fmenr.duth.gr
Summary
This study applies soft computing models, including fuzzy weighted Support Vector Regression (SVR), to accurately estimate water supply in Cyprus's Germasogeia watersheds. These reliable models aid water resource management and policy decisions.
Area of Science:
- Environmental Science
- Water Resource Management
- Computational Intelligence
Background:
- Water resource management faces challenges in accurately estimating supply, particularly in complex mountainous watersheds.
- Soft computing techniques offer advanced solutions for hydrological modeling and prediction.
Purpose of the Study:
- To develop and evaluate soft computing models for estimating water supply in the Germasogeia mountainous watersheds, Cyprus.
- To enhance the reliability and efficiency of water resource management tools through advanced computational methods.
Main Methods:
- Development of ε-Regression Support Vector Machines (ε-RSVM) and fuzzy weighted ε-RSVMR models with five input parameters.
- Implementation of artificial neural networks for comparative analysis.
- Utilization of 5-fold cross-validation to ensure model robustness and generalization.
- Application of fuzzy weighted Support Vector Regression (SVR) with fuzzy partition to improve result accuracy.
Main Results:
- Several rational and reliable soft computing models were successfully developed.
- The fuzzy weighted SVR models demonstrated enhanced accuracy in water supply estimation.
- The models effectively addressed local behaviors and produced representative datasets through cross-validation.
Conclusions:
- Soft computing techniques, particularly fuzzy weighted SVR, provide effective tools for water supply estimation in complex watersheds.
- The developed models can significantly enhance the efficiency and decision-making capabilities of water policy designers.
- This research contributes to improved water resource management strategies in Cyprus and similar regions.
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