EGU2020-2326, updated on 12 Jun 2020
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

MEDSAL Project - Salinization of critical groundwater reserves in coastal Mediterranean areas: Identification, risk assessment and sustainable management with the use of integrated modelling and smart ICT tools

Evangelos Tziritis1, Vassilis Aschonitis1, Gabriella Balacco6, Petros Daras2, Charalampos Doulgeris1, Maria Dolores Fidelibus6, Elyes Gaubi7, Moncef Gueddari7, Cüneyt Güler8, Fadoua Hamzaoui7, Christoph Külls4, Mehmet Ali Kurt8, Phaedon Kyriakidis5, Stelios Liodakis5, Birgül Mazmancı8, Redha Mohammed Menani3, Katerina Nikolaidou2, Nizar Ouertani7, Andreas Panagopoulos1, Vasilios Pisinaras1, Jay Krishna Thakur9, Ümit Yıldırım8,10, and Mounira Zammouri7
Evangelos Tziritis et al.
  • 1Soil and Water Resources Institute, Hellenic Agricultural Organization, Greece
  • 2Center for Research and Technology -HELLAS, Information Technologies Institute, Greece
  • 3Mobilisation and Water Resources Management Laboratory, Batna 2 University, Algeria
  • 4Technische Hockschule Lübeck / Architecture & Civil Engineering, Laboratory for Hydrology and International Water Management, Germany
  • 5Cyprus University of Technology, Department of Civil Engineering and Geomatics, Cyprus
  • 6Polytechnic University of Bari, DICATECh Dept, Italy
  • 7Faculty of Science of Tunis, Department of Geology, Tunisia
  • 8Mersin University, Faculty of Engineering, Turkey
  • 9Environment and Information Technology Center – UIZ, Germany
  • 10Bayburt University, Department of Interior Architecture and Environmental Design, Turkey

MEDSAL is a research project ( 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.

How to cite: Tziritis, E., Aschonitis, V., Balacco, G., Daras, P., Doulgeris, C., Fidelibus, M. D., Gaubi, E., Gueddari, M., Güler, C., Hamzaoui, F., Külls, C., Kurt, M. A., Kyriakidis, P., Liodakis, S., Mazmancı, B., Menani, R. M., Nikolaidou, K., Ouertani, N., Panagopoulos, A., Pisinaras, V., Thakur, J. K., Yıldırım, Ü., and Zammouri, M.: MEDSAL Project - Salinization of critical groundwater reserves in coastal Mediterranean areas: Identification, risk assessment and sustainable management with the use of integrated modelling and smart ICT tools, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2326,, 2020


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