Zobrazeno 1 - 10
of 3 492
pro vyhledávání: '"Guadagnini, A"'
We provide an approach enabling one to employ physics-informed neural networks (PINNs) for uncertainty quantification. Our approach is applicable to systems where observations are scarce (or even lacking), these being typical situations associated wi
Externí odkaz:
http://arxiv.org/abs/2408.04690
Providing a sound appraisal of the nature of the relationship between flow $(Q)$ and pressure drop $(\Delta P)$ for porous media is a long-standing fundamental research challenge. A wide variety of environmental, societal and industrial issues, rangi
Externí odkaz:
http://arxiv.org/abs/2406.03246
We propose new metrics to assist global sensitivity analysis, GSA, of hydrological and Earth systems. Our approach allows assessing the impact of uncertain parameters on main features of the probability density function, pdf, of a target model output
Externí odkaz:
http://hdl.handle.net/10150/626437
http://arizona.openrepository.com/arizona/handle/10150/626437
http://arizona.openrepository.com/arizona/handle/10150/626437
Much of the stochastic groundwater literature is devoted to the analysis of flow and transport in Gaussian or multi-Gaussian log hydraulic conductivity (or transmissivity) fields, Ydx_5ln Kdx_ (x being a position vector), characterized by one or (les
Externí odkaz:
http://hdl.handle.net/10150/624363
http://arizona.openrepository.com/arizona/handle/10150/624363
http://arizona.openrepository.com/arizona/handle/10150/624363
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 2661-2682 (2024)
We introduce a comprehensive and robust theoretical framework and operational workflow that can be employed to enhance our understanding, modeling and management capability of complex heterogeneous large-scale groundwater systems. Our framework encap
Externí odkaz:
https://doaj.org/article/76795540a2f64ec795da7e509f6690e2
Characterization of heterogeneous soil hydraulic parameters of deep vadose zones is often difficult and expensive, making it necessary to rely on other sources of information. Pedotransfer functions (PTFs) based on soil texture data constitute a simp
Externí odkaz:
http://hdl.handle.net/10150/622504
http://arizona.openrepository.com/arizona/handle/10150/622504
http://arizona.openrepository.com/arizona/handle/10150/622504
We address the problem of stochastic simulation of soil particle-size curves (PSCs) in heterogeneous aquifer systems. Unlike traditional approaches that focus solely on a few selected features of PSCs (e.g., selected quantiles), our approach consider
Externí odkaz:
http://hdl.handle.net/10150/621995
http://arizona.openrepository.com/arizona/handle/10150/621995
http://arizona.openrepository.com/arizona/handle/10150/621995
Autor:
Ceriotti, Giulia, Porta, Giovanni M, Geloni, Claudio, Rosa, Matilde Dalla, Guadagnini, Alberto
Publikováno v:
Geochimica et Cosmochimica Acta 213, 198-215 (2017)
We develop a methodological framework and mathematical formulation which yields estimates of the uncertainty associated with the amounts of CO2 generated by carbonate-clays reactions (CCR) in large-scale subsurface systems to assist characterization
Externí odkaz:
http://arxiv.org/abs/2210.16119
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 16, Pp n/a-n/a (2024)
Abstract We present an innovative approach that combines a unique real‐time data set documenting absolute dissolution rates of a calcite crystal with an original reactive transport model tailored to the analysis of the dynamics of nano‐scale mine
Externí odkaz:
https://doaj.org/article/24924ca156c34acba154ece97b6faaf1
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 280, Iss , Pp 116506- (2024)
The study aims at assessing the potential of graphene-based adsorbents to reduce environmental impacts of Iodinated Contrast Media Agents (ICMs). We analyze an extensive collection of ICMs. A modeling approach resting on molecular docking and Density
Externí odkaz:
https://doaj.org/article/a30cada21067492e87a55f113e31c640