Water-Distance-Based Kriging in Chesapeake Bay
Publication: Journal of Hydrologic Engineering
Volume 20, Issue 9
Abstract
The complex shapes of estuaries need to be considered when developing spatial interpolation methods for water quality analyses. In this study, a statistical interpolation method (kriging) is used to interpolate water quality data in Chesapeake Bay, and the issue of shape is addressed by incorporating “water distance” into the method (i.e., the shortest path over water between any two points). Results show that water-distance-based kriging performed just as well as, and in most cases better than, a kriging method based on Euclidean distance. Benefits of the water-distance-based method with kriging include improved estimates in regions with complex geometry and lower uncertainty in the kriging predictions.
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Acknowledgments
This study was supported by funding from the National Science Foundation under Grants No. 0618986 and 0854329. The authors would like to thank EPA Chesapeake Bay Program for access to the monitoring data and Randal Burns for CBEO testbed development and access.
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Information & Authors
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Published In
Journal of Hydrologic Engineering
Volume 20 • Issue 9 • September 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Sep 21, 2013
Accepted: Oct 29, 2014
Published online: Dec 11, 2014
Discussion open until: May 11, 2015
Published in print: Sep 1, 2015
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