Stochastic Methods in Subsurface Contaminant Hydrology

This comprehensive book details the existing methodologies and emerging techniques available for performing stochastic analysis of contaminant transport through porous media. Methods of analysis include: perturbation methods, Green's functions, moment analysis, cumulant expansion methods, decomposition principles, and Kalman filtering approaches. Both Eulerian and Lagrangian viewpoints are represented, and diverse topics such as reactive and nonreactive transport, stochastic streamtube modeling, multicomponent systems, dilution and dispersion, and anomalous dispersion are discussed. Examples from field and laboratory experiments and simulation exercises illustrate several of these concepts.

Stochastic Methods in Subsurface Contaminant Hydrology will appeal to students, researchers, and academicians interested in subsurface contaminant transport problems. Practitioners will also find this book useful, as it is an important reference for anyone interested in hydrology, environmental problems, soil physics, geology, and applied mathematics. Readers are expected to have a basic understanding of stochastic processes.

About the Author
Rao S. Govindaraju is a professor in the Schoolof Civil Engineering at Purdue University.

Product Reviews
Overall, this is an excellent book for those who are interested in learning various stochastic technigues for predicting solute spreading in heterogeous porous media. —Vadose Zone Journal