Inferring spatial correlation of hydraulic conductivity from sediment cores and outcrops

Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

1

Hydrology: Groundwater Hydrology, Hydrology: Groundwater Transport, Hydrology: Stochastic Processes

Scientific paper

Spatial variation of hydraulic conductivity is often assumed to follow patterns of sediment texture. This study examines whether sediment texture observed in cores and outcrops can be used to infer spatial correlation of hydraulic conductivity. The measures of spatial correlation that we consider, correlation length and Hurst coefficient, are commonly used for interpolating conductivity at unmeasured locations and making stochastic estimates of dispersivity. Results indicate that, when comparing hydraulic conductivity values derived from sediment texture to those measured by pumping tests, horizontal correlation lengths are approximately the same but vertical correlation does not correspond well. The results also suggest that sediment information may be useful for setting spatial limits to scaling behavior that is assumed with fractal interpretation of hydraulic conductivity variability.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Inferring spatial correlation of hydraulic conductivity from sediment cores and outcrops does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Inferring spatial correlation of hydraulic conductivity from sediment cores and outcrops, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Inferring spatial correlation of hydraulic conductivity from sediment cores and outcrops will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1345639

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.