Drone-based ground-penetrating radar (GPR) application to snow hydrology
Seasonal snowpack deeply influences the distribution of meltwater among watercourses and groundwater. During rain-on-snow (ROS) events, the structure and properties of the different snow and ice layers dictate the quantity and timing of water flowing out of the snowpack, increasing the risk of flood...
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ftdoajarticles:oai:doaj.org/article:39b548e3876546b0bee34a59a90d6578 2023-05-15T18:32:24+02:00 Drone-based ground-penetrating radar (GPR) application to snow hydrology E. Valence M. Baraer E. Rosa F. Barbecot C. Monty 2022-09-01T00:00:00Z https://doi.org/10.5194/tc-16-3843-2022 https://doaj.org/article/39b548e3876546b0bee34a59a90d6578 EN eng Copernicus Publications https://tc.copernicus.org/articles/16/3843/2022/tc-16-3843-2022.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-16-3843-2022 1994-0416 1994-0424 https://doaj.org/article/39b548e3876546b0bee34a59a90d6578 The Cryosphere, Vol 16, Pp 3843-3860 (2022) Environmental sciences GE1-350 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/tc-16-3843-2022 2022-12-30T21:01:25Z Seasonal snowpack deeply influences the distribution of meltwater among watercourses and groundwater. During rain-on-snow (ROS) events, the structure and properties of the different snow and ice layers dictate the quantity and timing of water flowing out of the snowpack, increasing the risk of flooding and ice jams. With ongoing climate change, a better understanding of the processes and internal properties influencing snowpack outflows is needed to predict the hydrological consequences of winter melting episodes and increases in the frequency of ROS events. This study develops a multi-method approach to monitor the key snowpack properties in a non-mountainous environment in a repeated and non-destructive way. Snowpack evolution during the winter of 2020–2021 was evaluated using a drone-based, ground-penetrating radar (GPR) coupled with photogrammetry surveys conducted at the Ste-Marthe experimental watershed in Quebec, Canada. Drone-based surveys were performed over a 200 m 2 area with a flat and a sloped section. In addition, time domain reflectometry (TDR) measurements were used to follow water flow through the snowpack and identify drivers of the changes in snowpack conditions, as observed in the drone-based surveys. The experimental watershed is equipped with state-of-the-art automatic weather stations that, together with weekly snow pit measurements over the ablation period, served as a reference for the multi-method monitoring approach. Drone surveys conducted on a weekly basis were used to generate georeferenced snow depth, density, snow water equivalent and bulk liquid water content maps. Despite some limitations, the results show that the combination of drone-based GPR, photogrammetric surveys and TDR is very promising for assessing the spatiotemporal evolution of the key hydrological characteristics of the snowpack. For instance, the tested method allowed for measuring marked differences in snow pack behaviour between the first and second weeks of the ablation period. A ROS event that occurred during ... Article in Journal/Newspaper The Cryosphere Directory of Open Access Journals: DOAJ Articles Canada The Cryosphere 16 9 3843 3860 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 E. Valence M. Baraer E. Rosa F. Barbecot C. Monty Drone-based ground-penetrating radar (GPR) application to snow hydrology |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
Seasonal snowpack deeply influences the distribution of meltwater among watercourses and groundwater. During rain-on-snow (ROS) events, the structure and properties of the different snow and ice layers dictate the quantity and timing of water flowing out of the snowpack, increasing the risk of flooding and ice jams. With ongoing climate change, a better understanding of the processes and internal properties influencing snowpack outflows is needed to predict the hydrological consequences of winter melting episodes and increases in the frequency of ROS events. This study develops a multi-method approach to monitor the key snowpack properties in a non-mountainous environment in a repeated and non-destructive way. Snowpack evolution during the winter of 2020–2021 was evaluated using a drone-based, ground-penetrating radar (GPR) coupled with photogrammetry surveys conducted at the Ste-Marthe experimental watershed in Quebec, Canada. Drone-based surveys were performed over a 200 m 2 area with a flat and a sloped section. In addition, time domain reflectometry (TDR) measurements were used to follow water flow through the snowpack and identify drivers of the changes in snowpack conditions, as observed in the drone-based surveys. The experimental watershed is equipped with state-of-the-art automatic weather stations that, together with weekly snow pit measurements over the ablation period, served as a reference for the multi-method monitoring approach. Drone surveys conducted on a weekly basis were used to generate georeferenced snow depth, density, snow water equivalent and bulk liquid water content maps. Despite some limitations, the results show that the combination of drone-based GPR, photogrammetric surveys and TDR is very promising for assessing the spatiotemporal evolution of the key hydrological characteristics of the snowpack. For instance, the tested method allowed for measuring marked differences in snow pack behaviour between the first and second weeks of the ablation period. A ROS event that occurred during ... |
format |
Article in Journal/Newspaper |
author |
E. Valence M. Baraer E. Rosa F. Barbecot C. Monty |
author_facet |
E. Valence M. Baraer E. Rosa F. Barbecot C. Monty |
author_sort |
E. Valence |
title |
Drone-based ground-penetrating radar (GPR) application to snow hydrology |
title_short |
Drone-based ground-penetrating radar (GPR) application to snow hydrology |
title_full |
Drone-based ground-penetrating radar (GPR) application to snow hydrology |
title_fullStr |
Drone-based ground-penetrating radar (GPR) application to snow hydrology |
title_full_unstemmed |
Drone-based ground-penetrating radar (GPR) application to snow hydrology |
title_sort |
drone-based ground-penetrating radar (gpr) application to snow hydrology |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/tc-16-3843-2022 https://doaj.org/article/39b548e3876546b0bee34a59a90d6578 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
The Cryosphere, Vol 16, Pp 3843-3860 (2022) |
op_relation |
https://tc.copernicus.org/articles/16/3843/2022/tc-16-3843-2022.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-16-3843-2022 1994-0416 1994-0424 https://doaj.org/article/39b548e3876546b0bee34a59a90d6578 |
op_doi |
https://doi.org/10.5194/tc-16-3843-2022 |
container_title |
The Cryosphere |
container_volume |
16 |
container_issue |
9 |
container_start_page |
3843 |
op_container_end_page |
3860 |
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1766216522090414080 |