1887

Abstract

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.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201602020
2016-09-04
2020-04-02
Loading full text...

Full text loading...

http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201602020
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error