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AI4WATER - Optimizing Water Resources in Coastal Areas using Artificial Intelligence

Bando/ente finanziatore: PRIMA 2024
Ruolo: Coordinatore
Data inizio: - Data fine:
Ambito: Internazionale
Responsabile di progetto: Prof. Ivan Serina
Dipartimento: Dipartimento di Ingegneria Civile, Architettura, Territorio, Ambiente e di Matematica, Dipartimento di Ingegneria dell'Informazione

Abstract

This project focuses on utilizing AI optimization and prediction techniques for water management in the Ras Jebel coastal area (RJC) in Tunisia; the Coastal Constantinois basin (CCB) in North-East of Algeria; in the Capitanata coastal irrigation district (CID) in Apulia in southern Italy; and in the coastal Nile Delta Aquifer (NDA) in Egypt. All these areas are characterized by a typical Mediterranean semiarid climate and may face similar issues of soil salinization and salt water intrusion in the groundwater. The objective is to characterize water resources, demands, and requests to meet agricultural and human consumption needs under critical situations. The core aim is to optimize water usage by employing AI methods to identify management strategies under current and projected climatic conditions. Advanced machine learning (ML) techniques will predict saltwater levels, groundwater, and surface water demands, optimizing freshwater resource usage. The project will employ optimization techniques like Genetic Algorithms, Reinforcement Learning, and AI planning algorithms tailored to formulate control policies for water resource management in the CCB, RJC and CID areas.
Given water scarcity and irregular precipitation patterns, addressing these challenges requires the latest technologies for planning, managing, and optimizing water usage. Stakeholder involvement is crucial for the effective application of proposed techniques, leveraging their knowledge and insights. The project also emphasizes employing advanced water accounting techniques and purchasing sensors for data collection, facilitating informed decision-making and sustainable water resource use. Proactive measures ensure efficient allocation and utilization of water resources, averting the need for expensive emergency interventions. Prioritizing planning in water management strategies ensures resilience and promotes long-term sustainability and resilience in the face of evolving environmental conditions.

PARTECIPANTI

  • Università degli Studi di Brescia (Coordinatore), Italia
  • Badji Mokhtar-Annaba University, Algeria
  • University of Sadat City, Egitto
  • Universitat Politècnica de València, Spagna
  • Ecole supérieure des Ingénieurs de Medjez el Bab, Tunisia
  • Universitée de Lille, Francia

Finanziamento UE per UniBS: € 490.000,00

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