Floodplain Sediment Storage Timescales of the Laterally Confined Meandering Powder River, USA
As sediment is transported through river corridors, it typically spends more time in storage than transport, and as a result, sediment delivery timescales are controlled by the duration of storage. Present understanding of storage timescales is largely derived from models or from field studies cover...
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description | As sediment is transported through river corridors, it typically spends more time in storage than transport, and as a result, sediment delivery timescales are controlled by the duration of storage. Present understanding of storage timescales is largely derived from models or from field studies covering relatively short (≤102 year) time spans. Here we quantify the storage time distribution for a 17 km length of Powder River in Montana, USA by determining the age distribution of eroded sediment. Our approach integrates surveyed cross‐sections, analysis of historical aerial imagery, aerial LiDAR, geomorphic mapping, and age control provided by optically stimulated luminescence (OSL) and dendrochronology. Sediment eroded by Powder River from 1998 to 2013 ranges from a few years to ∼5,000 years in age; ages are exponentially distributed (r2 = 0.78; Anderson‐Darling p value 0.003). Eroded sediment is derived from Powder River's meander belt (∼900 m wide), which is only 1.25 times its meander wavelength, a value reflecting valley confinement rather than free meandering. The mean storage time, 824 years (95% C.I. 610–1030 years), is similar to the time required to rework deposits of Powder River's meander belt based on an average meander migration rate of ∼1 m/yr, implying that storage time distributions of confined meandering rivers can be quantified from remotely sensed estimates of meander belt width and channel migration rates. Heavy‐tailed storage time distributions, frequently cited from physical and numerical modeling studies, may be restricted to unconfined meandering rivers.
Plain Language Summary
As sediment moves downstream through a watershed it is intermittently stored in a river's deposits before being eroded and transported farther downstream. Storage times vary from less than a decade to millennia. Storage time greatly exceeds the time sediment is being transported by the river. Consequently, the time required for sediment to reach a point downstream is largely controlled by the time spent in storage. This can influence how the movement of contaminants are monitored and restoration strategies are developed. Sediment particles spend different amounts of time in storage, which can be represented as a probability distribution. Here we date sediment eroded by Powder River in southeastern Montana from 1998 to 2013 and find that the storage time distribution is exponential. Furthermore, the mean storage time of 824 years (which fully characterizes the ex |
doi_str_mv | 10.1029/2021JF006313 |
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Plain Language Summary
As sediment moves downstream through a watershed it is intermittently stored in a river's deposits before being eroded and transported farther downstream. Storage times vary from less than a decade to millennia. Storage time greatly exceeds the time sediment is being transported by the river. Consequently, the time required for sediment to reach a point downstream is largely controlled by the time spent in storage. This can influence how the movement of contaminants are monitored and restoration strategies are developed. Sediment particles spend different amounts of time in storage, which can be represented as a probability distribution. Here we date sediment eroded by Powder River in southeastern Montana from 1998 to 2013 and find that the storage time distribution is exponential. Furthermore, the mean storage time of 824 years (which fully characterizes the exponential distribution) can be determined from the meander belt width and the channel migration rate, both of which can be measured using aerial imagery, providing a simple method for assessing storage times in laterally confined rivers.
Key Points
The meander belt of Powder River is laterally confined, which affects the storage time distribution
Floodplain storage times are exponential; the best‐fit mean is 824 years, similar to the ratio of meander belt width to migration rate
Heavy‐tailed storage time distributions may be restricted to rivers with unconfined floodplains</description><identifier>ISSN: 2169-9003</identifier><identifier>EISSN: 2169-9011</identifier><identifier>DOI: 10.1029/2021JF006313</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Age composition ; Belts ; Chronology ; Contaminants ; Current meandering ; Dendrochronology ; Distribution ; Downstream ; Downstream effects ; Floodplains ; Fluvial deposits ; Fluvial sediments ; Geomorphology ; Imagery ; Lidar ; Meander belt ; Meandering ; Powder ; Probability distribution ; Probability distribution functions ; Probability theory ; Remote sensing ; Restoration ; Restoration strategies ; River erosion ; River meanders ; Rivers ; Sediment ; Sediments ; Transportation corridors ; Watersheds ; Wavelength ; Width</subject><ispartof>Journal of geophysical research. Earth surface, 2022-01, Vol.127 (1), p.n/a</ispartof><rights>2022. The Authors.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a2839-98b41ba6d806a8aa940370713d50db74b3ac080e9683d9e55bb6de9f7c86e21b3</citedby><cites>FETCH-LOGICAL-a2839-98b41ba6d806a8aa940370713d50db74b3ac080e9683d9e55bb6de9f7c86e21b3</cites><orcidid>0000-0001-5214-7774 ; 0000-0002-7978-7322 ; 0000-0002-8784-6353 ; 0000-0002-7420-6402 ; 0000-0002-4555-7473 ; 0000-0003-2609-364X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2021JF006313$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2021JF006313$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,1417,1433,11514,27924,27925,45574,45575,46409,46468,46833,46892</link.rule.ids></links><search><creatorcontrib>Huffman, Max E.</creatorcontrib><creatorcontrib>Pizzuto, James E.</creatorcontrib><creatorcontrib>Trampush, Sheila M.</creatorcontrib><creatorcontrib>Moody, John A.</creatorcontrib><creatorcontrib>Schook, Derek M.</creatorcontrib><creatorcontrib>Gray, Harrison J.</creatorcontrib><creatorcontrib>Mahan, Shannon A.</creatorcontrib><title>Floodplain Sediment Storage Timescales of the Laterally Confined Meandering Powder River, USA</title><title>Journal of geophysical research. Earth surface</title><description>As sediment is transported through river corridors, it typically spends more time in storage than transport, and as a result, sediment delivery timescales are controlled by the duration of storage. Present understanding of storage timescales is largely derived from models or from field studies covering relatively short (≤102 year) time spans. Here we quantify the storage time distribution for a 17 km length of Powder River in Montana, USA by determining the age distribution of eroded sediment. Our approach integrates surveyed cross‐sections, analysis of historical aerial imagery, aerial LiDAR, geomorphic mapping, and age control provided by optically stimulated luminescence (OSL) and dendrochronology. Sediment eroded by Powder River from 1998 to 2013 ranges from a few years to ∼5,000 years in age; ages are exponentially distributed (r2 = 0.78; Anderson‐Darling p value 0.003). Eroded sediment is derived from Powder River's meander belt (∼900 m wide), which is only 1.25 times its meander wavelength, a value reflecting valley confinement rather than free meandering. The mean storage time, 824 years (95% C.I. 610–1030 years), is similar to the time required to rework deposits of Powder River's meander belt based on an average meander migration rate of ∼1 m/yr, implying that storage time distributions of confined meandering rivers can be quantified from remotely sensed estimates of meander belt width and channel migration rates. Heavy‐tailed storage time distributions, frequently cited from physical and numerical modeling studies, may be restricted to unconfined meandering rivers.
Plain Language Summary
As sediment moves downstream through a watershed it is intermittently stored in a river's deposits before being eroded and transported farther downstream. Storage times vary from less than a decade to millennia. Storage time greatly exceeds the time sediment is being transported by the river. Consequently, the time required for sediment to reach a point downstream is largely controlled by the time spent in storage. This can influence how the movement of contaminants are monitored and restoration strategies are developed. Sediment particles spend different amounts of time in storage, which can be represented as a probability distribution. Here we date sediment eroded by Powder River in southeastern Montana from 1998 to 2013 and find that the storage time distribution is exponential. Furthermore, the mean storage time of 824 years (which fully characterizes the exponential distribution) can be determined from the meander belt width and the channel migration rate, both of which can be measured using aerial imagery, providing a simple method for assessing storage times in laterally confined rivers.
Key Points
The meander belt of Powder River is laterally confined, which affects the storage time distribution
Floodplain storage times are exponential; the best‐fit mean is 824 years, similar to the ratio of meander belt width to migration rate
Heavy‐tailed storage time distributions may be restricted to rivers with unconfined floodplains</description><subject>Age composition</subject><subject>Belts</subject><subject>Chronology</subject><subject>Contaminants</subject><subject>Current meandering</subject><subject>Dendrochronology</subject><subject>Distribution</subject><subject>Downstream</subject><subject>Downstream effects</subject><subject>Floodplains</subject><subject>Fluvial deposits</subject><subject>Fluvial sediments</subject><subject>Geomorphology</subject><subject>Imagery</subject><subject>Lidar</subject><subject>Meander belt</subject><subject>Meandering</subject><subject>Powder</subject><subject>Probability distribution</subject><subject>Probability distribution functions</subject><subject>Probability theory</subject><subject>Remote sensing</subject><subject>Restoration</subject><subject>Restoration strategies</subject><subject>River erosion</subject><subject>River meanders</subject><subject>Rivers</subject><subject>Sediment</subject><subject>Sediments</subject><subject>Transportation corridors</subject><subject>Watersheds</subject><subject>Wavelength</subject><subject>Width</subject><issn>2169-9003</issn><issn>2169-9011</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp9kE9LAzEQxYMoWGpvfoCA11YnyTabHEuxaqko_XOUJbuZrVu2m5psLf32RiriybnMm-HHvOERcs3glgHXdxw4m04ApGDijHQ4k3qggbHzXw3ikvRC2EAsFVeMd8jbpHbO7mpTNXSBttpi09JF67xZI13GMRSmxkBdSdt3pDPTojd1faRj15RVg5Y-o2ks-qpZ01d3iIrOq0_0fbpajK7IRWnqgL2f3iWryf1y_DiYvTw8jUezgeFKxNdUnrDcSKtAGmWMTkCkkDJhh2DzNMmFKUABaqmE1Tgc5rm0qMu0UBI5y0WX3Jzu7rz72GNos43b-yZaZlxyrrlIUhWp_okqvAvBY5ntfLU1_pgxyL4zzP5mGHFxwg9Vjcd_2Wz6MJ9wligtvgAF2nE3</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Huffman, Max E.</creator><creator>Pizzuto, James E.</creator><creator>Trampush, Sheila M.</creator><creator>Moody, John A.</creator><creator>Schook, Derek M.</creator><creator>Gray, Harrison J.</creator><creator>Mahan, Shannon A.</creator><general>Blackwell Publishing Ltd</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-5214-7774</orcidid><orcidid>https://orcid.org/0000-0002-7978-7322</orcidid><orcidid>https://orcid.org/0000-0002-8784-6353</orcidid><orcidid>https://orcid.org/0000-0002-7420-6402</orcidid><orcidid>https://orcid.org/0000-0002-4555-7473</orcidid><orcidid>https://orcid.org/0000-0003-2609-364X</orcidid></search><sort><creationdate>202201</creationdate><title>Floodplain Sediment Storage Timescales of the Laterally Confined Meandering Powder River, USA</title><author>Huffman, Max E. ; Pizzuto, James E. ; Trampush, Sheila M. ; Moody, John A. ; Schook, Derek M. ; Gray, Harrison J. ; Mahan, Shannon A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a2839-98b41ba6d806a8aa940370713d50db74b3ac080e9683d9e55bb6de9f7c86e21b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age composition</topic><topic>Belts</topic><topic>Chronology</topic><topic>Contaminants</topic><topic>Current meandering</topic><topic>Dendrochronology</topic><topic>Distribution</topic><topic>Downstream</topic><topic>Downstream effects</topic><topic>Floodplains</topic><topic>Fluvial deposits</topic><topic>Fluvial sediments</topic><topic>Geomorphology</topic><topic>Imagery</topic><topic>Lidar</topic><topic>Meander belt</topic><topic>Meandering</topic><topic>Powder</topic><topic>Probability distribution</topic><topic>Probability distribution functions</topic><topic>Probability theory</topic><topic>Remote sensing</topic><topic>Restoration</topic><topic>Restoration strategies</topic><topic>River erosion</topic><topic>River meanders</topic><topic>Rivers</topic><topic>Sediment</topic><topic>Sediments</topic><topic>Transportation corridors</topic><topic>Watersheds</topic><topic>Wavelength</topic><topic>Width</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huffman, Max E.</creatorcontrib><creatorcontrib>Pizzuto, James E.</creatorcontrib><creatorcontrib>Trampush, Sheila M.</creatorcontrib><creatorcontrib>Moody, John A.</creatorcontrib><creatorcontrib>Schook, Derek M.</creatorcontrib><creatorcontrib>Gray, Harrison J.</creatorcontrib><creatorcontrib>Mahan, Shannon A.</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Free Content</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Journal of geophysical research. Earth surface</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huffman, Max E.</au><au>Pizzuto, James E.</au><au>Trampush, Sheila M.</au><au>Moody, John A.</au><au>Schook, Derek M.</au><au>Gray, Harrison J.</au><au>Mahan, Shannon A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Floodplain Sediment Storage Timescales of the Laterally Confined Meandering Powder River, USA</atitle><jtitle>Journal of geophysical research. Earth surface</jtitle><date>2022-01</date><risdate>2022</risdate><volume>127</volume><issue>1</issue><epage>n/a</epage><issn>2169-9003</issn><eissn>2169-9011</eissn><abstract>As sediment is transported through river corridors, it typically spends more time in storage than transport, and as a result, sediment delivery timescales are controlled by the duration of storage. Present understanding of storage timescales is largely derived from models or from field studies covering relatively short (≤102 year) time spans. Here we quantify the storage time distribution for a 17 km length of Powder River in Montana, USA by determining the age distribution of eroded sediment. Our approach integrates surveyed cross‐sections, analysis of historical aerial imagery, aerial LiDAR, geomorphic mapping, and age control provided by optically stimulated luminescence (OSL) and dendrochronology. Sediment eroded by Powder River from 1998 to 2013 ranges from a few years to ∼5,000 years in age; ages are exponentially distributed (r2 = 0.78; Anderson‐Darling p value 0.003). Eroded sediment is derived from Powder River's meander belt (∼900 m wide), which is only 1.25 times its meander wavelength, a value reflecting valley confinement rather than free meandering. The mean storage time, 824 years (95% C.I. 610–1030 years), is similar to the time required to rework deposits of Powder River's meander belt based on an average meander migration rate of ∼1 m/yr, implying that storage time distributions of confined meandering rivers can be quantified from remotely sensed estimates of meander belt width and channel migration rates. Heavy‐tailed storage time distributions, frequently cited from physical and numerical modeling studies, may be restricted to unconfined meandering rivers.
Plain Language Summary
As sediment moves downstream through a watershed it is intermittently stored in a river's deposits before being eroded and transported farther downstream. Storage times vary from less than a decade to millennia. Storage time greatly exceeds the time sediment is being transported by the river. Consequently, the time required for sediment to reach a point downstream is largely controlled by the time spent in storage. This can influence how the movement of contaminants are monitored and restoration strategies are developed. Sediment particles spend different amounts of time in storage, which can be represented as a probability distribution. Here we date sediment eroded by Powder River in southeastern Montana from 1998 to 2013 and find that the storage time distribution is exponential. Furthermore, the mean storage time of 824 years (which fully characterizes the exponential distribution) can be determined from the meander belt width and the channel migration rate, both of which can be measured using aerial imagery, providing a simple method for assessing storage times in laterally confined rivers.
Key Points
The meander belt of Powder River is laterally confined, which affects the storage time distribution
Floodplain storage times are exponential; the best‐fit mean is 824 years, similar to the ratio of meander belt width to migration rate
Heavy‐tailed storage time distributions may be restricted to rivers with unconfined floodplains</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2021JF006313</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0001-5214-7774</orcidid><orcidid>https://orcid.org/0000-0002-7978-7322</orcidid><orcidid>https://orcid.org/0000-0002-8784-6353</orcidid><orcidid>https://orcid.org/0000-0002-7420-6402</orcidid><orcidid>https://orcid.org/0000-0002-4555-7473</orcidid><orcidid>https://orcid.org/0000-0003-2609-364X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age composition Belts Chronology Contaminants Current meandering Dendrochronology Distribution Downstream Downstream effects Floodplains Fluvial deposits Fluvial sediments Geomorphology Imagery Lidar Meander belt Meandering Powder Probability distribution Probability distribution functions Probability theory Remote sensing Restoration Restoration strategies River erosion River meanders Rivers Sediment Sediments Transportation corridors Watersheds Wavelength Width |
title | Floodplain Sediment Storage Timescales of the Laterally Confined Meandering Powder River, USA |
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