Abstract
This article presents the setting-up of a validation procedure, especially adapted to therainwater samples of the MERA and French WMO-GAW networks. A first study reveals that theion and conductivity balances, usually used as quality criteria, depend on salinity. The statisticaltool or "physico-chemical filter" proposed in this paper, includes two mathematical models basedon 97th percentile of the ion and conductivity balances, from the 1991 and 1992 data taken asreferences. This dynamic validation uses the rejection limits which increase with salinity. Itsapplication shows a significant decrease of the total rejection rate between the first and third yearof running. This seems to be due to the improvement in quality of the analytical line. The rejectedsample inspection does not reveal apparent bias errors for the filter. This kind of validation seemsto be well adapted to screen the samples in a precipitation collection network such as MERA andWMO-GAW.
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Plaisance, H., Coddeville, P., Guillermo, R. et al. Dynamic Validation Procedure for the Mera and French WMO-GAW Precipitation Chemistry Networks. Water, Air, & Soil Pollution 93, 267–284 (1997). https://doi.org/10.1023/A:1022162304638
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DOI: https://doi.org/10.1023/A:1022162304638