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Alberto Guadagnini

Researcher at Polytechnic University of Milan

Publications -  296
Citations -  6959

Alberto Guadagnini is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Monte Carlo method & Random field. The author has an hindex of 41, co-authored 279 publications receiving 6143 citations. Previous affiliations of Alberto Guadagnini include Instituto Politécnico Nacional & University of Arizona.

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Representative hydraulic conductivities in saturated groundwater flow

TL;DR: In this paper, the authors present a critical appraisal of results related to the problem of finding representative hydraulic conductivities, i.e., a parameter controlling the average behavior of groundwater flow within an aquifer at a given scale.
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A procedure for the solution of multicomponent reactive transport problems

TL;DR: In this paper, the authors present a procedure to solve groundwater reactive transport in the case of homogeneous and classical heterogeneous equilibrium reactions induced by mixing different waters, which can be used to test numerical codes by setting benchmark problems but also to derive closed-form analytical solutions whenever steps 2 and 3 are simple.
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Three‐dimensional steady state flow to a well in a randomly heterogeneous bounded aquifer

TL;DR: In this article, the authors considered flow in a confined aquifer of uniform thickness due to a well of zero radius that fully penetrates the aquifer and discharges at a constant rate.
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A comparison of seven methods for the inverse modelling of groundwater flow. Application to the characterisation of well catchments

TL;DR: Inverse modeling is a key step in groundwater-related hydrological studies as mentioned in this paper, but hardly any comparison between them was presented. But in this paper, we compare seven modern inverse methods for groundwater flow: the Regularised Pilot Points Method (both the estimation, RPPM-CE, and the Monte Carlo (MC) simulation variants,RPPM-CS), the MC variant of the Representer Method (RM), the Sequential Self-Calibration Method (SSC), the Moment Equations Method (MEM), the Zonation Method (ZM),
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Convergence assessment of numerical Monte Carlo simulations in groundwater hydrology

TL;DR: A methodology for convergence analysis of Monte Carlo simulations and therefore for the reliability assessment of the inferred statistical moments is proposed, based on simple rules of statistical inference, which can be extended to different application fields.