Abstract
This article presents the setting-up of a validation procedure, especially adapted to the rainwater samples of the MERA and French WMO-GAW networks. A first study reveals that the ion and conductivity balances, usually used as quality criteria, depend on salinity. The statistical tool or “physico-chemical filter” proposed in this paper, includes two mathematical models based on 97th percentile of the ion and conductivity balances, from the 1991 and 1992 data taken as references. This dynamic validation uses the rejection limits which increase with salinity. Its application shows a significant decrease of the total rejection rate between the first and third year of running. This seems to be due to the improvement in quality of the analytical line. The rejected sample inspection does not reveal apparent bias errors for the filter. This kind of validation seems to be well adapted to screen the samples in a precipitation collection network such as MERA and WMO-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 Pollut 93, 267–284 (1997). https://doi.org/10.1007/BF02404761
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DOI: https://doi.org/10.1007/BF02404761