Mapping valley bottom confinement at the network scale. O'Brien, G. R., Wheaton, J. M., Fryirs, K., Macfarlane, W. W., Brierley, G., Whitehead, K., Gilbert, J., & Volk, C. Earth Surface Processes and Landforms, May, 2019. ![Mapping valley bottom confinement at the network scale [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex In this article, we demonstrate the application of a continuous confinement metric across entire river networks. Confinement is a useful metric for characterizing and discriminating valley setting. At the reach scale, valley bottom confinement is measured and quantified as the ratio of the length of channel confined on either bank by a confining margin divided by the reach length. The valley bottom is occupied by the contemporary floodplain and/or its channel(s); confining margins can be any landform or feature that makes up the valley bottom margin, such as bedrock hillslopes, terraces, fans, or anthropogenic features such as stopbanks or constructed levees. To test the reliability of calculating confinement across entire networks, we applied our geoprocessing scripts across four physiographically distinct watersheds of the Pacific Northwest, USA using freely available national datasets. Comparison of manually digitized and mapped with modeled calculations of confinement revealed that roughly one-third of reaches were equivalent and about two-thirds of the sites differ by less than ±15%. A sensitivity analysis found that a 500 m reach segmentation length produced reasonable agreement with manual, categorical, expert-derived analysis of confinement. Confinement accuracy can be improved (c. 4% to 17% gains) using a more accurately mapped valley bottom and channel position (i.e. with higher-resolution model inputs). This is particularly important when differentiating rivers in the partly confined valley setting. However, at the watershed scale, patterns derived from mapping confinement are not fundamentally different, making this a reasonably accurate and rapid technique for analysis and measurement of confinement across broad spatial extents. © 2019 John Wiley & Sons, Ltd.
@article{obrien_mapping_2019,
title = {Mapping valley bottom confinement at the network scale},
issn = {0197-9337, 1096-9837},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/esp.4615},
doi = {10.1002/esp.4615},
abstract = {In this article, we demonstrate the application of a continuous confinement metric across entire river networks. Confinement is a useful metric for characterizing and discriminating valley setting. At the reach scale, valley bottom confinement is measured and quantified as the ratio of the length of channel confined on either bank by a confining margin divided by the reach length. The valley bottom is occupied by the contemporary floodplain and/or its channel(s); confining margins can be any landform or feature that makes up the valley bottom margin, such as bedrock hillslopes, terraces, fans, or anthropogenic features such as stopbanks or constructed levees. To test the reliability of calculating confinement across entire networks, we applied our geoprocessing scripts across four physiographically distinct watersheds of the Pacific Northwest, USA using freely available national datasets. Comparison of manually digitized and mapped with modeled calculations of confinement revealed that roughly one-third of reaches were equivalent and about two-thirds of the sites differ by less than ±15\%. A sensitivity analysis found that a 500 m reach segmentation length produced reasonable agreement with manual, categorical, expert-derived analysis of confinement. Confinement accuracy can be improved (c. 4\% to 17\% gains) using a more accurately mapped valley bottom and channel position (i.e. with higher-resolution model inputs). This is particularly important when differentiating rivers in the partly confined valley setting. However, at the watershed scale, patterns derived from mapping confinement are not fundamentally different, making this a reasonably accurate and rapid technique for analysis and measurement of confinement across broad spatial extents. © 2019 John Wiley \& Sons, Ltd.},
language = {en},
urldate = {2020-04-01},
journal = {Earth Surface Processes and Landforms},
author = {O'Brien, Gary R. and Wheaton, Joseph M. and Fryirs, Kirstie and Macfarlane, William W. and Brierley, Gary and Whitehead, Kelly and Gilbert, Jordan and Volk, Carol},
month = may,
year = {2019},
pages = {esp.4615},
}
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The valley bottom is occupied by the contemporary floodplain and/or its channel(s); confining margins can be any landform or feature that makes up the valley bottom margin, such as bedrock hillslopes, terraces, fans, or anthropogenic features such as stopbanks or constructed levees. To test the reliability of calculating confinement across entire networks, we applied our geoprocessing scripts across four physiographically distinct watersheds of the Pacific Northwest, USA using freely available national datasets. Comparison of manually digitized and mapped with modeled calculations of confinement revealed that roughly one-third of reaches were equivalent and about two-thirds of the sites differ by less than ±15%. A sensitivity analysis found that a 500 m reach segmentation length produced reasonable agreement with manual, categorical, expert-derived analysis of confinement. Confinement accuracy can be improved (c. 4% to 17% gains) using a more accurately mapped valley bottom and channel position (i.e. with higher-resolution model inputs). This is particularly important when differentiating rivers in the partly confined valley setting. 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Confinement is a useful metric for characterizing and discriminating valley setting. At the reach scale, valley bottom confinement is measured and quantified as the ratio of the length of channel confined on either bank by a confining margin divided by the reach length. The valley bottom is occupied by the contemporary floodplain and/or its channel(s); confining margins can be any landform or feature that makes up the valley bottom margin, such as bedrock hillslopes, terraces, fans, or anthropogenic features such as stopbanks or constructed levees. To test the reliability of calculating confinement across entire networks, we applied our geoprocessing scripts across four physiographically distinct watersheds of the Pacific Northwest, USA using freely available national datasets. Comparison of manually digitized and mapped with modeled calculations of confinement revealed that roughly one-third of reaches were equivalent and about two-thirds of the sites differ by less than ±15\\%. 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