Data-Driven Approach Supporting Groundwater Resource Understanding, Protection and Management

Dear Colleagues,

Groundwater is a vital resource for human and ecosystem needs worldwide. In a scenario of climate change and increasing anthropogenic impacts on groundwater, understanding the main drivers affecting groundwater resource quality and availability is the main challenge in the scope of more sustainable groundwater management. In the last few decades, monitoring networks' expansion and persistence over time have led to increased data availability: environmental datasets are growing in size, complexity, and resolution. Extensive monitoring data require proper techniques and tools to be managed, elaborated, interpreted, and integrated on a spatial or temporal scale to obtain reliable results.  The scientific community is constantly working on understanding the best and most up-to-date techniques to investigate and exploit these valuable data. This Special Issue aims to expand the knowledge on data-driven applications on groundwater data. We welcome the submission of papers concerning data analysis and modelling of groundwater quality or quantity datasets; examples can be: a) Data mining, spatial, temporal, or multivariate analysis of groundwater quality data or b) time series analysis and forecasting of groundwater head and springs discharge. We also encourage new insights on overcoming the most widely known problems such as missing or non-detected data or sensors and analytical uncertainty management. The final goal of this Special Issue is collecting up-to-date applications of data-driven techniques in the scope of groundwater resource understanding, protection, and management.  

Dr. Marco Rotiroti
Dr. Chiara Zanotti
Dr. Diego Di Curzio
Dr. Rahim Barzegar
Guest Editors

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