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Journal ArticleDOI

Modeling Groundwater Flow and Contaminant Transport

Rui Ma
- 01 May 2011 - 
- Vol. 10, Iss: 2, pp 769-770
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TLDR
In this paper, Jacob Bear and Alexander H.-D. Cheng present a groundwater flow and contaminant transport model to test hypotheses, interpret and analyze field experiment data, predict future.
Abstract
Jacob Bear and Alexander H.-D. Cheng. Springer, 233 Spring St., New York, NY 10013. 2010. 834 pp. Hardcover $99.00. ISBN 978-1-4020-6681-8 Groundwater flow and contaminant transport models have been widely used to test hypotheses, interpret and analyze field experiment data, predict future

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Modelling root–soil interactions using three–dimensional models of root growth, architecture and function

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Quantification of organic pollutant degradation in contaminated aquifers using compound specific stable isotope analysis – Review of recent developments

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The secret to successful solute-transport modeling.

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Tidal influence on seawater intrusion in unconfined coastal aquifers

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Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)

TL;DR: In this paper, the authors used nonlinear autoregressive networks with exogenous inputs (NARX) to obtain groundwater level forecasts for several wells in southwest Germany, and the results are promising and indicate an outstanding suitability of NARX for groundwater level predictions with such a small set of inputs in all three aquifer types.