Deep learning for earthquake hydrology? Insights from the karst Gran Sasso aquifer in central Italy-Reference-Cited by-同舟云学术

Deep learning for earthquake hydrology? Insights from the karst Gran Sasso aquifer in central Italy

Published:2023-02 Issue: Volume:617 Page:129002
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Scorzini Anna Rita,Di Bacco Mario,De Luca Gaetano,Tallini Marco

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference63 articles.

1. Chemical and isotopic (δ18O‰, δ2H‰, δ13C‰, 222Rn) multi-tracing for groundwater conceptual model of carbonate aquifer (Gran Sasso INFN underground laboratory–central Italy);Adinolfi Falcone;J. Hydrol.,2008

2. Changes on groundwater flow and hydrochemistry of the Gran Sasso carbonate aquifer after 2009 L’Aquila earthquake;Adinolfi Falcone;Ital. J. Geosci.,2012

3. Impact of the 6 April 2009 L'Aquila earthquake on groundwater flow in the Gran Sasso carbonate aquifer, Central Italy;Amoruso;Hydrol. Process.,2011

4. Parsimonious recharge/discharge modeling in carbonate fractured aquifers: The groundwater flow in the Gran Sasso aquifer (Central Italy);Amoruso;J. Hydrol.,2013

5. Simulation of karst spring discharge using a combination of time–frequency analysis methods and long short-term memory neural networks;An;J. Hydrol.,2020

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