scispace - formally typeset
A

Andrea Castelletti

Researcher at Polytechnic University of Milan

Publications -  246
Citations -  7664

Andrea Castelletti is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Environmental science & Computer science. The author has an hindex of 42, co-authored 197 publications receiving 5528 citations. Previous affiliations of Andrea Castelletti include University of Western Ontario & Leonardo.

Papers
More filters
Journal ArticleDOI

Twenty-three unsolved problems in hydrology (UPH)–a community perspective

Günter Blöschl, +212 more
TL;DR: In this article, a community initiative to identify major unsolved scientific problems in hydrology motivated by a need for stronger harmonisation of research efforts is described. But despite the diversity of the participants (230 scientists in total), the process revealed much about community priorities and the state of our science: a preference for continuity in research questions rather than radical departures or redirections from past and current work.
Journal ArticleDOI

Bayesian Networks and participatory modelling in water resource management

TL;DR: Some pros and cons of adopting Bns for water resource planning and management are analyzed by framing their use within the context of a participatory and integrated planning procedure, and exploring how they can be integrated with other types of models.
Journal ArticleDOI

More than one million barriers fragment Europe's rivers.

TL;DR: There are at least 1.2 million instream barriers in 36 European countries, 68 per cent of which are structures less than two metres in height that are often overlooked, and the main predictors of barrier density are agricultural pressure, density of river-road crossings, extent of surface water and elevation.
Journal ArticleDOI

Benefits and challenges of using smart meters for advancing residential water demand modeling and management

TL;DR: This manuscript is the first comprehensive review of the literature in this quickly evolving water research domain and contributes a general framework for the classification of residential water demand modeling studies, which allows revising consolidated approaches, describing emerging trends, and identifying potential future developments.