Why the 2022 Po River drought is the worst in the past two centuries.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
09 Aug 2023
Historique:
medline: 9 8 2023
pubmed: 9 8 2023
entrez: 9 8 2023
Statut: ppublish

Résumé

The causes of recent hydrological droughts and their future evolution under a changing climate are still poorly understood. Banking on a 216-year river flow time series at the Po River outlet, we show that the 2022 hydrological drought is the worst event (30% lower than the second worst, with a six-century return period), part of an increasing trend in severe drought occurrence. The decline in summer river flows (-4.14 cubic meters per second per year), which is more relevant than the precipitation decline, is attributed to a combination of changes in the precipitation regime, resulting in a decline of snow fraction (-0.6% per year) and snowmelt (-0.18 millimeters per day per year), and to increasing evaporation rate (+0.013 cubic kilometers per year) and irrigated areas (100% increment from 1900). Our study presents a compelling case where the hydrological impact of climate change is exacerbated by local changes in hydrologic seasonality and water use.

Identifiants

pubmed: 37556532
doi: 10.1126/sciadv.adg8304
pmc: PMC10411875
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

eadg8304

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Auteurs

Alberto Montanari (A)

Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), Alma Mater Studiorum Università di Bologna, Bologna, Italy.

Hung Nguyen (H)

Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA.

Sara Rubinetti (S)

Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, List/Sylt, Germany.

Serena Ceola (S)

Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), Alma Mater Studiorum Università di Bologna, Bologna, Italy.

Stefano Galelli (S)

Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA.
Pillar of Engineering Systems and Design, Singapore University of Technology and Design, Singapore, Singapore.

Angelo Rubino (A)

Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Venice, Italy.

Davide Zanchettin (D)

Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Venice, Italy.

Classifications MeSH