caa a22 4500 467922659 CHVBK 20180406152921.0 cr unu---uuuuu 170328e20061101xx s 000 0 eng 10.1007/s00477-006-0046-5 doi (NATIONALLICENCE)springer-10.1007/s00477-006-0046-5 Using sequential self-calibration method to estimate a correlation length of a log-conductivity field conditioned upon a tracer test and limited measured data [Elektronische Daten] [Bill Hu, Changming He] A gradient-based inverse method, the sequential self-calibrated method (SSC), has been developed to identify a parameter for the statistical distribution function of a conductivity field, a correlation length. The identification is based on a tracer test data and some conductivity measurements. Correlation length is an important parameter for geostatistical description of a conductivity distribution. It is generally difficult to obtain from limited field measurements, especially in the horizontal direction, because the measurement in this direction is generally limited and sparsely populated. When the SSC method is used to estimate conductivity statistical distribution conditioned upon tracer test data, the closer the chosen correlation length to the real value, the faster the convergence rate, which is the basis of the identification method proposed in this study. The study results indicate the correlation length can be well determined by the tracer data and some conductivity measurements. In comparison with the identification of correlation length with only conductivity measurement, with tracer test data, much less measurement is required. Springer-Verlag, 2006 Sequential self-calibration nationallicence Correlation length nationallicence Hydraulic conductivity nationallicence Identification nationallicence Tracer test nationallicence Hu Bill Department of Geological Sciences, Florida State University, 108 Carraway Building, 32306, Tallahassee, FL, USA aut He Changming Department of Geological Sciences, Florida State University, 108 Carraway Building, 32306, Tallahassee, FL, USA aut Stochastic Environmental Research and Risk Assessment Springer-Verlag 21/1(2006-11-01), 89-96 1436-3240 21:1<89 2006 21 477 https://doi.org/10.1007/s00477-006-0046-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00477-006-0046-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hu Bill Department of Geological Sciences, Florida State University, 108 Carraway Building, 32306, Tallahassee, FL, USA aut NATIONALLICENCE 700 1- He Changming Department of Geological Sciences, Florida State University, 108 Carraway Building, 32306, Tallahassee, FL, USA aut NATIONALLICENCE 773 0- Stochastic Environmental Research and Risk Assessment Springer-Verlag 21/1(2006-11-01), 89-96 1436-3240 21:1<89 2006 21 477 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer