We have developed algorithms of ERT monitoring data for filtering outliers and accurately evaluating data reliabilities. The filtering and editing methods are designed to provide qualified data to actual inversion process, while the evaluated reliabilities are to weight the data actually inverted. The parameters used in the data editing and in the weighting factor determination are automatically optimized by taking account of the statistical characteristics and spatio-temporal behaviours of the monitoring data. Consequently, various kinds of data filtering and quality evaluations are to be made in automatic and objective manner with little manual manipulations of the data and parameters. The performance and effectiveness of the developed algorithms are examined and demonstrated with the field data monitored at the Gresten test site, Austria.


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