Geochemical and Biogeochemical Reaction Modeling

By C. Bethke. 2007

612 citations recorded by the source corpus.

An indispensable primer and reference textbook, the third edition of Geochemical and Biogeochemical Reaction Modeling carries the reader from the field's origins and theoretical underpinnings through to a collection of fully worked examples. A clear exposition of the underlying equations and calculation techniques is balanced by real-world example calculations. The book depicts geochemical reaction modeling as a vibrant field of study applicable to a wide spectrum of issues of scientific, practical, and societal concern. The new edition offers a thorough description of surface complexation modeling, including two- and three-layer methods; broader treatment of kinetic rate laws; the effect of stagnant zones on transport; and techniques for determining gas partial pressures. This handbook demystifies and makes broadly accessible an elegant technique for portraying chemical processes in the geosphere. It will again prove to be invaluable for geochemists, environmental scientists and engineers, aqueous and surface chemists, microbiologists, university teachers, and government regulators.

Subfields: Artificial Intelligence, Geochemistry and Petrology, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/613094548ccf14b50467aead4b19c528e6f42038

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In Artificial Intelligence

In Geochemistry and Petrology

In Mechanics of Materials

Citations in the corpus

Cemdata18: A chemical thermodynamic database for hydrated Portland cements and alkali-activated materials (2019, background): “fr/) database 53 [15, 16] available for the Geochemists Workbench® [17](https://www.”
Application of thermodynamic modelling to hydrated cements (2019, neutral): “fr/) database is available for the Geochemists 282 Workbench® [69] (https://www.”
The pH of Enceladus’ ocean (2015, methodology): “Method The pH of Enceladus’ ocean can be determined as accurately as (presently) possible by making a chemical model that accounts for equilibrium among all aqueous species (Garrels & Thompson, 1962).”
GEM-Selektor geochemical modeling package: revised algorithm and GEMS3K numerical kernel for coupled simulation codes (2012, methodology): “Compared to chemical speciation models based on the LMA method such as PHREEQC [38], MINEQL [62], CHILLER [43–45], or GWB [4], the GEM method has the advantage that it can handle in one run any number of potentially stable phases, including many (highly) nonideal solutions.”