| dc.description.abstract | MEDSAL is a research project (www.medsal.net) focusing on groundwater salinization in the
Mediterranean area, funded by the PRIMA Program (Partnership for Research and Innovation in
the Mediterranean Area), and running for 36 months starting from September 2019. MEDSAL
constitutes a joint Euro-Mediterranean cooperation network of organizations from Mediterranean
countries and associated states of the EU contributing national funds. The partnership involves
eight academic partners from seven countries (plus an external collaborator – private firm),
covering a wide range of academic experts in various scientific fields (e.g. hydrogeology,
hydrogeochemistry, environmental isotopes, modeling, hydro-informatics, geostatistics, machine
learning). MEDSAL aims at developing innovative methods to identify various sources and processes of
salinization and at providing an integrated set of modeling tools that capture the dynamics and
risks of salinization. Thereby, it aims to secure the availability and quality of groundwater reserves
in Mediterranean coastal areas, which are amongst the most vulnerable regions in the world to
water scarcity and quality degradation. MEDSAL encompasses six (6) test sites located in five (5)
countries: Rhodope, Greece, (ii) Samos Island, Greece, (iii) Salento, Italy, (iv) Tarsus, Turkey, (v)Boufichia, Tunisia, and (vi) Bouteldja, Algeria. MEDSAL’s principal objectives are the following: a) Deliver new tools for the identification of complex salinization sources and processes, b) Exploit the potential of Artificial intelligence and Deep Learning methods to improve detection of patterns in multi-dimensional hydrogeochemical and isotope data, c) Elaborate tailor-made risk assessment and development of management plans by coupling salinization forecasts with climate change impacts and future scenarios, and d) Develop a public domain web-GIS Observatory for monitoring, alerting, decision support and
management of coastal groundwater reserves around the Mediterranean. MEDSAL is expected to have a significant impact on water resources availability and quality by improving the identification and development of adequate strategies and measures for the protection and management of salinization in coastal aquifers. In this context, MEDSAL will provide innovative classification and detection methods of groundwater salinization types for Mediterranean coasts, also in complex karstic and data-scarce environments. These outcomes will be reached by better integration of hydrogeochemical and environmental isotope data with physical-based groundwater flow and transport models and advanced geostatistics. Artificial intelligence and deep learning methods will be also used to improve the detection of patterns in multi-dimensional hydrogeochemical and isotope data. | en_US |
