NOMOTELEIA proposes a modular, comprehensive methodological framework that combines state of the art approaches in the field of water resources modeling, remote sensing, agricultural water management and social networking, changing the paradigm for the design of effective, efficient, consistent and acceptable Best Management Practices (BMPs) for water management in agricultural catchments. The proposed methodology will be tested in the Pinios river basin in Greece. The project will deliver this methodology through a flexible and transferable decision support tool that will assist policy makers to evaluate alternative strategies by translating, in an intuitive way, policy objectives to modeling parameters for a range of climatic and socioeconomic scenarios. The derived BMPs could potentially complement the Programmes of Measures (PoMs) embedded in National River Basin Management Plans (RBMPs), as required by the WFD.
NOMOTELEIA aims to develop a novel methodology and a decision support tool, capable of assisting water and agricultural policy makers to evaluate alternative BMPs. The methodology will be:
- Inclusive: will take into account all relevant socio-economic and environmental parameters that affect in a different way the various stakeholders
- Innovative: will use state-of-art techniques in data acquisition, integrating remotely sensed data with ground data, calibration and model optimization to overcome study limitations and improve the credibility of results
- Sound: will be supported by the implementation of widely accepted data analysis and hydrological modeling tools
- Transparent: will translate specific policy questions to model parameters to best practice criteria indicators