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.
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.
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
Connected Waters Initiative Research Centre, UNSW
Australia, Sydney, Australia
G. Mariethoz
Institute of Earth Surface Dynamics, University of
Lausanne, Lausanne, Switzerland
Connected Waters Initiative Research Centre, UNSW
Australia, Sydney, Australia
P. C. Treble
Institute for Environmental Research, Australian Nuclear
Science and Technology Organisation, Lucas Heights, Sydney,
Australia
M. Markowska
Connected Waters Initiative Research Centre, UNSW
Australia, Sydney, Australia
Institute for Environmental Research, Australian Nuclear
Science and Technology Organisation, Lucas Heights, Sydney,
Australia
E. McGuire
Department of Parks and Wildlife, Busselton, WA,
Australia
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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.
Caves offer a natural inception point to observe both the long-term groundwater recharge and the...
