Estimating fluvial wood discharge using time‐lapse photography with varying sampling intervals
ABSTRACT Monitoring large wood (LW: width > 10 cm, length > 1 m) in transport within rivers is a necessary next step in the development and refinement of wood budgets and is essential to a better understanding of basin‐wide controls and patterns of LW flux and loads. Monitoring LW transport wi...
Published in: | Earth Surface Processes and Landforms |
---|---|
Main Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Wiley
2014
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1002/esp.3540 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fesp.3540 https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.3540 |
id |
crwiley:10.1002/esp.3540 |
---|---|
record_format |
openpolar |
spelling |
crwiley:10.1002/esp.3540 2024-06-23T07:56:45+00:00 Estimating fluvial wood discharge using time‐lapse photography with varying sampling intervals Kramer, Natalie Wohl, Ellen 2014 http://dx.doi.org/10.1002/esp.3540 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fesp.3540 https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.3540 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Earth Surface Processes and Landforms volume 39, issue 6, page 844-852 ISSN 0197-9337 1096-9837 journal-article 2014 crwiley https://doi.org/10.1002/esp.3540 2024-06-13T04:23:48Z ABSTRACT Monitoring large wood (LW: width > 10 cm, length > 1 m) in transport within rivers is a necessary next step in the development and refinement of wood budgets and is essential to a better understanding of basin‐wide controls and patterns of LW flux and loads. Monitoring LW transport with coarse interval (≥ 1 min) time‐lapse photography enables the deployment of monitoring cameras at large spatial and long temporal scales. Although less precise than continuous sampling with video, it allows investigators to answer broad questions about basin connectivity, compare drainages and years,and identify transport relationships and thresholds. This paper describes methods to: (i) construct fluvial wood flux curves; (ii) analyze the effects of sample interval lengths on transport estimates; and (iii) estimate total wood loads within a specified time period using coarse‐interval time‐lapse photography. Applying these methods to the Slave River, a large‐volume (10 3 m 3 s ‐1 ), low‐gradient (10 − 2 m km − 1 ) river in the subarctic (60 ∘ N), yielded the following results. A threshold relationship for wood mobility was located around 4500 m 3 s ‐1 . More wood is transported on the rising limb of the hydrograph because wood flux declines rapidly on the falling limb. Five‐ and ten‐minute sampling intervals provided unbiased equal variance estimates of 1 min sampling, whereas 15 min intervals were biased towards underestimation by 5–6%, possibly due to periodicity in wood flux. Total LW loads estimated from the 1 min dataset and adjusted for a 15% misdetection rate from 13 July to 13 August are: 1600 ± 200 # pieces, 600 ± 200 m 3 and of the order of 1.3 × 10 5 kg carbon. The total wood load for the entire summer season is probably at least double this estimate because only the second half of the summer was monitored and a large early summer peak freshet was missed. Copyright © 2014 John Wiley & Sons, Ltd. Article in Journal/Newspaper Slave River Subarctic Wiley Online Library Earth Surface Processes and Landforms 39 6 844 852 |
institution |
Open Polar |
collection |
Wiley Online Library |
op_collection_id |
crwiley |
language |
English |
description |
ABSTRACT Monitoring large wood (LW: width > 10 cm, length > 1 m) in transport within rivers is a necessary next step in the development and refinement of wood budgets and is essential to a better understanding of basin‐wide controls and patterns of LW flux and loads. Monitoring LW transport with coarse interval (≥ 1 min) time‐lapse photography enables the deployment of monitoring cameras at large spatial and long temporal scales. Although less precise than continuous sampling with video, it allows investigators to answer broad questions about basin connectivity, compare drainages and years,and identify transport relationships and thresholds. This paper describes methods to: (i) construct fluvial wood flux curves; (ii) analyze the effects of sample interval lengths on transport estimates; and (iii) estimate total wood loads within a specified time period using coarse‐interval time‐lapse photography. Applying these methods to the Slave River, a large‐volume (10 3 m 3 s ‐1 ), low‐gradient (10 − 2 m km − 1 ) river in the subarctic (60 ∘ N), yielded the following results. A threshold relationship for wood mobility was located around 4500 m 3 s ‐1 . More wood is transported on the rising limb of the hydrograph because wood flux declines rapidly on the falling limb. Five‐ and ten‐minute sampling intervals provided unbiased equal variance estimates of 1 min sampling, whereas 15 min intervals were biased towards underestimation by 5–6%, possibly due to periodicity in wood flux. Total LW loads estimated from the 1 min dataset and adjusted for a 15% misdetection rate from 13 July to 13 August are: 1600 ± 200 # pieces, 600 ± 200 m 3 and of the order of 1.3 × 10 5 kg carbon. The total wood load for the entire summer season is probably at least double this estimate because only the second half of the summer was monitored and a large early summer peak freshet was missed. Copyright © 2014 John Wiley & Sons, Ltd. |
format |
Article in Journal/Newspaper |
author |
Kramer, Natalie Wohl, Ellen |
spellingShingle |
Kramer, Natalie Wohl, Ellen Estimating fluvial wood discharge using time‐lapse photography with varying sampling intervals |
author_facet |
Kramer, Natalie Wohl, Ellen |
author_sort |
Kramer, Natalie |
title |
Estimating fluvial wood discharge using time‐lapse photography with varying sampling intervals |
title_short |
Estimating fluvial wood discharge using time‐lapse photography with varying sampling intervals |
title_full |
Estimating fluvial wood discharge using time‐lapse photography with varying sampling intervals |
title_fullStr |
Estimating fluvial wood discharge using time‐lapse photography with varying sampling intervals |
title_full_unstemmed |
Estimating fluvial wood discharge using time‐lapse photography with varying sampling intervals |
title_sort |
estimating fluvial wood discharge using time‐lapse photography with varying sampling intervals |
publisher |
Wiley |
publishDate |
2014 |
url |
http://dx.doi.org/10.1002/esp.3540 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fesp.3540 https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.3540 |
genre |
Slave River Subarctic |
genre_facet |
Slave River Subarctic |
op_source |
Earth Surface Processes and Landforms volume 39, issue 6, page 844-852 ISSN 0197-9337 1096-9837 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/esp.3540 |
container_title |
Earth Surface Processes and Landforms |
container_volume |
39 |
container_issue |
6 |
container_start_page |
844 |
op_container_end_page |
852 |
_version_ |
1802650071217471488 |