L. Noto

PRECISi: A High-Resolution Daily Gridded Precipitation Dataset for Sicily (1951–2022) Derived from a Doubly Conditional Geostatistical Framework

Desperately seeking a non-empty core—a framework for understanding cooperation among municipal water service monopolies

What drives, or prevents, monopolistic providers in regulated sectors from merging into larger entities? While typically studied within public service regulation, this question carries profound socio-hydrological relevance for urban water services, as their organization directly affects key societal outcomes such as wa...

Non-Autoregressive Machine Learning for Spring Discharge Forecasting: A Bias-Corrected CNN–LSTM Approach

This study develops and evaluates a suite of non-autoregressive machine learning architectures, MLP, CNN, LSTM, and a hybrid CNN–LSTM, for predicting the monthly discharge of major springs supplying Palermo, Italy, offering water authorities an effective solution for proactive and sustainable management of this crucial...