Models of geochemical speciation: structure and applications

Di Bonito, Marcello; Lofts, S. ORCID: https://orcid.org/0000-0002-3627-851X; Groenenberg, J.E.. 2024 Models of geochemical speciation: structure and applications. In: De Vivo, Benedetto; Belkin, Harvey E.; Lima, Annamaria, (eds.) Environmental geochemistry: site characterization, data analysis, case histories, and associated health issues. 3rd ed. Amsterdam, Elsevier, 329-419.

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Abstract/Summary

Chapter 12. Being able to predict the behavior of trace elements in the environment is crucial for environmental risk assessment studies. For this reason, modeling, in addition to experimental methods, has become an indispensable tool to better understand the (bio)-geochemistry of trace elements and the processes involved in their availability, transport, and ecotoxicity. In this chapter, we briefly outline the development of geochemical modeling over time and its basic principles. A comprehensive description of the state-of-the-art ion-binding and surface complexation models presently available for dissolved and particulate organic matter, mineral oxides of aluminium, iron, manganese, and silica and clay minerals is given. A significant part of this chapter is dedicated to the application of these models for studying surface waters and soils. The most common model platforms used for this purpose together with the available (thermodynamic) databases of model parameters are summarized. In two separate sections we highlight the application of an assemblage model (with submodels for the various adsorbents) to describe trace element solid-solution partitioning and speciation in surface waters and soils; here particular attention is given to the derivation of site-specific inputs concerning the geochemical reactive metal content and the contents of adsorbents (mineral oxides, clay, and organic matter). Consideration is therefore given to the most recent developments in bio-geochemical modeling to link metal speciation to bioavailability, biotic accumulation, and toxicity. Finally, future prospects of geochemical modeling are discussed, giving an overview of the potential directions for development.

Item Type:	Publication - Book Section
Digital Object Identifier (DOI):	https://doi.org/10.1016/B978-0-443-13801-0.00017-7
UKCEH and CEH Sections/Science Areas:	Pollution (Science Area 2017-)
NORA Subject Terms:	Ecology and Environment Data and Information
Date made live:	11 Mar 2024 13:28 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/537061

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