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2021 | OriginalPaper | Buchkapitel

The Whole Versus the Parts: The Challenge of Compositional Data Analysis (CoDA) Methods for Geochemistry

verfasst von : Antonella Buccianti, Caterina Gozzi

Erschienen in: Advances in Compositional Data Analysis

Verlag: Springer International Publishing

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Abstract

In complex geochemical aqueous systems, chemical species are conceptually distinct but empirically related thanks to a large number of interactions taking place at different spatial and/or temporal scales. In this condition, common elements are shared, multiplicative interactions arise, and feedback mechanisms may be able to maintain the system far from the thermodynamical equilibrium, bearing wide fluctuations. Chemical species can have alternative stable states and transitions among them that could produce important consequences for the stability and the resilience of the solutions, also forced by climate changes and with impact on human health. Under the Compositional Data Analysis (CoDA) methodology, it is possible to appreciate the power of some tools able to take a look at the whole instead of the constituting parts, enhancing the understanding of the nature of mutual interactions. In this research work, the role of the perturbation operator governing addition/subtraction in the simplex geometry is explored as a way to trace compositional changes and investigate the system dynamics. The results of our approach on the chemistry of the Arno River waters (Central Italy) highlight the possibility to discover the resilience of chemical species under the pressure of the environmental drivers affecting the catchment. Geochemical mobility (e.g., ionic potential, ionic strength) can be associated with new tools that provide information on either the resistance to change, predisposing the system to critical shifts, or its adaptive capacity, which instead favors gradual changes. This information appears to be fundamental since river water chemistry enables to decipher processes at the boundaries among lithosphere, biosphere, hydrosphere, and atmosphere, all key reservoirs involved in the dynamics of the Earth. This knowledge will be particularly relevant if the pressure of the climatic changes on our planet will continue to increase.

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Literatur
Zurück zum Zitat J. Aitchison, The Statistical Analysis of Compositional Data. Monographs on Statistics and Applied Probability (Chapman & Hall Ltd., London (UK), 1986). (Reprinted in 2003 with additional material by The Blackburn Press), 416 p J. Aitchison, The Statistical Analysis of Compositional Data. Monographs on Statistics and Applied Probability (Chapman & Hall Ltd., London (UK), 1986). (Reprinted in 2003 with additional material by The Blackburn Press), 416 p
Zurück zum Zitat J. Aitchison, The statistical analysis of compositional data (with discussion). J. R. Stat. Soc. Ser. B (Stat. Methodol.) 44, 139–177 (1982)MATH J. Aitchison, The statistical analysis of compositional data (with discussion). J. R. Stat. Soc. Ser. B (Stat. Methodol.) 44, 139–177 (1982)MATH
Zurück zum Zitat C. Arrighi, M. Masi, R. Iannelli, Flood risk assessment of environmental pollution hotspots. Environ. Model. Softw. 100, 1–10 (2018) C. Arrighi, M. Masi, R. Iannelli, Flood risk assessment of environmental pollution hotspots. Environ. Model. Softw. 100, 1–10 (2018)
Zurück zum Zitat E.K. Berner, R.A. Berner, Global Environmental: Water, Air and Geochemical Cycles (Prentice-Hall, Upper Saddle River NJ, 1996), 376 p E.K. Berner, R.A. Berner, Global Environmental: Water, Air and Geochemical Cycles (Prentice-Hall, Upper Saddle River NJ, 1996), 376 p
Zurück zum Zitat C.M. Bethke, Geochemical and Biogeochemical Reaction Modeling (Cambridge University Press, 2008), 543 p C.M. Bethke, Geochemical and Biogeochemical Reaction Modeling (Cambridge University Press, 2008), 543 p
Zurück zum Zitat D. Billheimer, P. Guttorp, W. Fagan, Statistical interpretation of species composition. J. Am. Stat. Assoc. 96(456), 1205–1214 (2001) D. Billheimer, P. Guttorp, W. Fagan, Statistical interpretation of species composition. J. Am. Stat. Assoc. 96(456), 1205–1214 (2001)
Zurück zum Zitat E. Dinelli, G. Corteccci, F. Lucchini, E. Zantedeschi, Source of major and trace elements in the stream sediments of the Arno river catchment (northern Tuscany, Italy). Geochem. J. 39, 531–545 (2005) E. Dinelli, G. Corteccci, F. Lucchini, E. Zantedeschi, Source of major and trace elements in the stream sediments of the Arno river catchment (northern Tuscany, Italy). Geochem. J. 39, 531–545 (2005)
Zurück zum Zitat J.J. Egozcue, C. Barceló-Vidal, J.A. Martín-Fernández, E. Jarauta-Bragulat, J.L. Díaz-Barrero, G. Mateu-Figueras, Elements of simplicial linear algebra and geometry. In (Pawlowsky-Glahn & Buccianti, 2011), pp. 141–157, 378 p (2011) J.J. Egozcue, C. Barceló-Vidal, J.A. Martín-Fernández, E. Jarauta-Bragulat, J.L. Díaz-Barrero, G. Mateu-Figueras, Elements of simplicial linear algebra and geometry. In (Pawlowsky-Glahn & Buccianti, 2011), pp. 141–157, 378 p (2011)
Zurück zum Zitat J.J. Egozcue, V. Pawlowsky-Glahn, Basic concepts and procedure. In (Pawlowsky-Glahn & Buccianti, 2011), pp. 12–28, 378 p (2011) J.J. Egozcue, V. Pawlowsky-Glahn, Basic concepts and procedure. In (Pawlowsky-Glahn & Buccianti, 2011), pp. 12–28, 378 p (2011)
Zurück zum Zitat C. Gozzi, R.S. Graziano, A. Buccianti, Statistical methods for the geochemical characterisation of surface waters: the case study of the Tiber River basin (Central Italy). Comput. Geosci. 131, 80–88 (2019a) C. Gozzi, R.S. Graziano, A. Buccianti, Statistical methods for the geochemical characterisation of surface waters: the case study of the Tiber River basin (Central Italy). Comput. Geosci. 131, 80–88 (2019a)
Zurück zum Zitat C. Gozzi, R.S. Graziano, F. Frondini, A. Buccianti, Innovative monitoring tools for the complex spatial dynamics of river chemistry: case study for the Alpine region. Environ. Earth Sci. 77(16), 579 (2019b) C. Gozzi, R.S. Graziano, F. Frondini, A. Buccianti, Innovative monitoring tools for the complex spatial dynamics of river chemistry: case study for the Alpine region. Environ. Earth Sci. 77(16), 579 (2019b)
Zurück zum Zitat R.S. Graziano, C. Gozzi, A. Buccianti, Is compositional data analysis a theory able to discover complex dynamics in aqueous geochemical systems?. J. Geochem. Explor. 211, 106465, 1-9 (2020) R.S. Graziano, C. Gozzi, A. Buccianti, Is compositional data analysis a theory able to discover complex dynamics in aqueous geochemical systems?. J. Geochem. Explor. 211, 106465, 1-9 (2020)
Zurück zum Zitat A. Kleidon, Life, hierarchy, and the thermodynamic machinery of planet Earth. Phys. Life Rev. 7, 424–460 (2010)CrossRef A. Kleidon, Life, hierarchy, and the thermodynamic machinery of planet Earth. Phys. Life Rev. 7, 424–460 (2010)CrossRef
Zurück zum Zitat W. Krzanowski, Principles of Multivariate Analysis (Second Edition). Oxford Statistical Science Series 23 (Oxford, UK, 2000), 563 p W. Krzanowski, Principles of Multivariate Analysis (Second Edition). Oxford Statistical Science Series 23 (Oxford, UK, 2000), 563 p
Zurück zum Zitat M. Mitzenmacher, A brief history of generative models for power law and lognormal distributions. Internet Math. 1(2), 226–251 (2004)MathSciNetCrossRef M. Mitzenmacher, A brief history of generative models for power law and lognormal distributions. Internet Math. 1(2), 226–251 (2004)MathSciNetCrossRef
Zurück zum Zitat B. Nisi, A. Buccianti, O. Vaselli, G. Perini, F. Tassi, A. Minissale, G. Montegrossi, Hydrochemistry and strontium isotopes in the Arno River Basin (Tuscany, Italy): constraints on natural controls by statistical modeling. J. Hydrol. 1–4, 166–183 (2008) B. Nisi, A. Buccianti, O. Vaselli, G. Perini, F. Tassi, A. Minissale, G. Montegrossi, Hydrochemistry and strontium isotopes in the Arno River Basin (Tuscany, Italy): constraints on natural controls by statistical modeling. J. Hydrol. 1–4, 166–183 (2008)
Zurück zum Zitat V. Pawlowsky-Glahn, A. Buccianti (eds.), Compositional Data Analysis: Theory and Applications (Wiley, 2011), 378 p V. Pawlowsky-Glahn, A. Buccianti (eds.), Compositional Data Analysis: Theory and Applications (Wiley, 2011), 378 p
Zurück zum Zitat V. Pawlowsky-Glahn, J.J. Egozcue, R. Tolosana-Delgado, Modeling and Analysis of Compositional Data. Statistics in Practice (Wiley, Chichester, UK, 2015), 247 p V. Pawlowsky-Glahn, J.J. Egozcue, R. Tolosana-Delgado, Modeling and Analysis of Compositional Data. Statistics in Practice (Wiley, Chichester, UK, 2015), 247 p
Zurück zum Zitat V. Pawlowsky-Glahn, J.J. Egozcue, Geometric approach to statistical analysis on the simplex. Stoch. Environ. Res. Risk Assess. 15(5), 384–398 (2001)CrossRef V. Pawlowsky-Glahn, J.J. Egozcue, Geometric approach to statistical analysis on the simplex. Stoch. Environ. Res. Risk Assess. 15(5), 384–398 (2001)CrossRef
Zurück zum Zitat X. Sanchez-Vila, M. Dentz, L.D. Donado, Transport-controlled reaction rates under local non-equilibrium conditions. Geophys. Res. Lett. 34, 1–5 (2007) X. Sanchez-Vila, M. Dentz, L.D. Donado, Transport-controlled reaction rates under local non-equilibrium conditions. Geophys. Res. Lett. 34, 1–5 (2007)
Zurück zum Zitat M. Scheffer, S.R. Carpenter, T.M. Lenton, J. Bascompte, W. Brock, V. Dakos, J. van de Koppel, I.A. van de Leemput, S.A. Levin, E.H. van Nes, M. Pascual, J. Vandermeer, Anticipating critical transitions. Science 338, 344–348 (2012) M. Scheffer, S.R. Carpenter, T.M. Lenton, J. Bascompte, W. Brock, V. Dakos, J. van de Koppel, I.A. van de Leemput, S.A. Levin, E.H. van Nes, M. Pascual, J. Vandermeer, Anticipating critical transitions. Science 338, 344–348 (2012)
Zurück zum Zitat A.J.E. Seely, P. Macklem, Fractal variability: an emergent property of complex dissipative systems. Chaos 22, 013108-1–013108-7 (2012) A.J.E. Seely, P. Macklem, Fractal variability: an emergent property of complex dissipative systems. Chaos 22, 013108-1–013108-7 (2012)
Zurück zum Zitat M.M.J.W. van Rooij, B. Nash, S. Rajaraman, J.G. Holden, A fractal approach to dynamic inference and distribution analysis. Front. Physiol. 4, 1–16 (2013) M.M.J.W. van Rooij, B. Nash, S. Rajaraman, J.G. Holden, A fractal approach to dynamic inference and distribution analysis. Front. Physiol. 4, 1–16 (2013)
Zurück zum Zitat C. Zhu, G. Anderson, Environmental Applications of Geochemical Modeling (Cambridge University Press, 2002), 284 p, 378 p C. Zhu, G. Anderson, Environmental Applications of Geochemical Modeling (Cambridge University Press, 2002), 284 p, 378 p
Metadaten
Titel
The Whole Versus the Parts: The Challenge of Compositional Data Analysis (CoDA) Methods for Geochemistry
verfasst von
Antonella Buccianti
Caterina Gozzi
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-71175-7_13