Estimation of deep infiltration in unsaturated limestone environments using  cave lidar and drip count data

Mahmud, K.; Mariethoz, G.; Baker, A.; Treble, P. C.; Markowska, M.; McGuire, E.

doi:https://doi.org/10.5194/hess-20-359-2016

Articles | Volume 20, issue 1

https://doi.org/10.5194/hess-20-359-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-359-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 1

Research article

|

20 Jan 2016

Research article |

| 20 Jan 2016

Estimation of deep infiltration in unsaturated limestone environments using cave lidar and drip count data

K. Mahmud, G. Mariethoz, A. Baker, P. C. Treble, M. Markowska, and E. McGuire

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Final revised paper (published on 20 Jan 2016)
Preprint (discussion started on 02 Sep 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC C4140: 'Review', Anonymous Referee #1, 07 Oct 2015
RC C4162: 'referee comment', Anonymous Referee #2, 08 Oct 2015
AC C4992: 'Reply to reviewers comments', Gregoire Mariethoz, 24 Nov 2015

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish as is (30 Nov 2015) by Ty P. A. Ferre

AR by Gregoire Mariethoz on behalf of the Authors (27 Dec 2015)

Short summary

Caves offer a natural inception point to observe both the long-term groundwater recharge and the preferential movement of water through the unsaturated zone of such limestone. In this study, we develop a method that combines automated drip rate logging systems and remote sensing techniques to quantify the infiltration processes within a cave.