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A modular three-dimensional finite-difference ground-water flow model

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TLDR
A computer program for simulating ground-water flow in three dimensions by using a block-centered finite-difference approach and has a modular structure, which permits the addition of new packages to the program without modifying existing packages.
Abstract
A computer program for simulating ground-water flow in three dimensions is presented. This report includes detailed explanations of physical and mathematical concepts on which the model is developed. Ground-water flow within the aquifer is simulated by using a block-centered finite-difference approach. The program is written in Fortran 77 and has a modular structure, which permits the addition of new packages to the program without modifying existing packages.

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Assessing distributed groundwater recharge rate using integrated surface water-groundwater modelling: application to Mihocheon watershed, South Korea

TL;DR: In this paper, a method of estimating groundwater recharge, based on water-balance components using the SWAT-MODFLOW model (an integrated surface water groundwater model), is described.
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Evolutionary algorithms for the optimization of advective control of contaminated aquifer zones

TL;DR: The DES is a self‐adaptive algorithm that proves to be the more robust optimization method for the selected advective control problem than the SGA variants of this study, exhibiting a less stochastic search which is reflected in the minor variability of the found solutions.
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Numerical modelling of self‐potential signals associated with a pumping test experiment

TL;DR: In this article, a numerical model based on the finite-difference method was used to determine the distribution of hydraulic heads in aquifers, hence the distribution distribution of the hydraulic conductivity and storativity.
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Adaptive Hybrid Genetic Algorithm for Groundwater Remediation Design

TL;DR: A new self-adaptive HGA (SAHGA) is presented and it is shown to be far more robust than NAHGA, providing fast convergence across a broad range of parameter settings, demonstrating that SAHGA has substantial promise for enabling solution of larger-scale problems than was previously possible.
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