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Improving the accuracy of risk prediction from particle-based breakthrough curves reconstructed with kernel density estimators

Author
Siirila, E.; Fernandez, D.; Sanchez-Vila, X.
Type of activity
Journal article
Journal
Water resources research
Date of publication
2015-06
Volume
51
Number
6
First page
4574
Last page
4591
DOI
https://doi.org/10.1002/2014WR016394 Open in new window
Repository
http://hdl.handle.net/2117/76560 Open in new window
URL
http://onlinelibrary.wiley.com/doi/10.1002/2014WR016394/full Open in new window
Abstract
An edited version of this paper was published by AGU. Copyright (2015) American Geophysical Union. While particle tracking techniques are often used in risk frameworks, the number of particles needed to properly derive risk metrics such as average concentration for a given exposure duration is often unknown. If too few particles are used, error may propagate into the risk estimate. In this work, we provide a less error-prone methodology for the direct reconstruction of exposure duration averaged...
Citation
Siirila, E., Fernandez, D., Sanchez, F. Improving the accuracy of risk prediction from particle-based breakthrough curves reconstructed with kernel density estimators. "Water resources research", Juny 2015, núm. 6, p. 4574-4591.
Group of research
GHS - Hydrogeology Group

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