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Abstract

Statistical evaluation of the results of inter-laboratory comparisons (1976-2012) suggests an overall measurement uncertainty of ±13% and serious problems in the measurements of total Si and HCO3- in geothermal waters. The reasons for the dispersion among the results of participating laboratories are: inappropriate analytical procedure, limited number of digits in the calibration equation and errors in the calculation procedure of individual laboratory.

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REFERENCES

  1. Aitchison, J.: The statistical analysis of compositional data. Chapman and Hall (1986)

    Google Scholar 

  2. Buccianti, A., Pawlowsky-Glahn, V.: New perspectives on water chemistry and compositional data analysis. Math. Geol., 37, 703–727 (2005)

    Google Scholar 

  3. Pawlowsky-Glahn, V., Egozcue, J.J., Tolosana-Delgado, R.: Lecture notes on compositional data analysis. http://www.sediment.uni-goettingen.de/staff/tolosana/extra/CoDa.pdf (2007)

  4. Ellis, A.J.: The IAGC inter-laboratory water analysis comparison programme. Geochim. Cosmochim. Ac., 40, 1359–1374(1976)

    Google Scholar 

  5. Verma, M.P.: IAEA Inter-laboratory Comparisons of Geothermal Water Chemistry: Critiques on Analytical Uncertainty and Accuracy, and Geothermal Reservoir Modeling. J. Iberian Geol., 39, 57–72 (2013)

    Google Scholar 

  6. Verma, M.P.: A revised analytical method for HCO3 and CO3 2− determinations in geothermal waters: an assessment of IAGC and IAEA interlaboratory comparisons. Geostand. Geoanal. Res., 28, 391–409 (2004)

    Google Scholar 

  7. Verma, M.P.: Revised analytical methods for the determination of carbonic species in rain, ground and geothermal waters. Proceedings, WGC, Antalya, Turkey (2005)

    Google Scholar 

  8. Verma, M.P., Birkle, P., Sánchez, D.: Theoretical and Analytical Aspects of Carbonic Species Determination in Rain, Ground, Geothermal and Petroleum Waters. Proceedings, WGC, Congress, Bali, Indonesia (2010)

    Google Scholar 

  9. Verma, M.P., Izquierdo, G., Urbino, G.A., Gangloff, S., Garcia, R., Aparicio, A., Conte, T., Armienta, M.A., Sanchez, M., Gabriel, J.R.P., Fajanela, I.D., Renderos, R., Acha, C.B.A., Prasetio, R., Grajales, I.C, Delgado, L.R., Opondo, K., Esparza, R.Z., Panama, L.A., Salazar, R.T., Lim, P.G. and Javino, F.: Inter-laboratory comparison of SiO2 analysis for geothermal water chemistry. Geothermics, 44, 32–42 (2012)

    Google Scholar 

  10. Verma, M.P., Portugal, E., Gangloff, S., Armienta, M.A., Chandrasekharam, D., Sanchez, M., Renderos, R.E., Junaco, M., van Geldern, R.: Determination of carbonic species concentration in natural waters - Results from a worldwide proficiency test. Geostand. Geoanal. Res. (2014) in press

    Google Scholar 

  11. Verma, M.P., Izquierdo, G., Sangloff, S., Reyes-Delgado, L., Armienta, M.A., Sanchez, M., Garcia, R. and Turdiaman, D.: Proficiency testing statistics on Si-determinations in geothermal waters. Geostand. Geoanal. Res. (2014) submitted

    Google Scholar 

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ACKNOWLEDGEMENTS

This work was supported by the grant “FONDO SECTORIAL CONACYT-SENER SUSTENTABILIDAD ENERGÉTICA IIE-CEMIE-GEO-P14”.

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Correspondence to Mahendra P. Verma .

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Verma, M.P. (2016). Compositional Statistical Analysis of Inter-Laboratory Comparisons of Geothermal Water. In: Raju, N. (eds) Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment. Springer, Cham. https://doi.org/10.1007/978-3-319-18663-4_9

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