Width‐Based Discharge Partitioning in Distributary Networks: How Right We Are
Abstract River deltas are home to large populations and can be composed of complex channel networks which convey flows of matter to the shoreline. Knowledge of flow within individual channels is needed to quantify the distribution of discharge across the delta, and thus its sustainability over time....
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| Format: | Article |
| Language: | English |
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Wiley
2022-07-01
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| Series: | Geophysical Research Letters |
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| Online Access: | https://doi.org/10.1029/2022GL097897 |
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| _version_ | 1850183383329538048 |
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| author | Jayaram Hariharan Anastasia Piliouras Jon Schwenk Paola Passalacqua |
| author_facet | Jayaram Hariharan Anastasia Piliouras Jon Schwenk Paola Passalacqua |
| author_sort | Jayaram Hariharan |
| collection | DOAJ |
| description | Abstract River deltas are home to large populations and can be composed of complex channel networks which convey flows of matter to the shoreline. Knowledge of flow within individual channels is needed to quantify the distribution of discharge across the delta, and thus its sustainability over time. Due to a lack of field measurements at the local channel scale, researchers leverage remote sensing data to estimate the partitioning of flow. We compare data from 15 river deltas to discharge partitioning estimates based on channel network graphs derived from remote sensing imagery. We quantify errors in the common width‐based method and test alternative partitioning techniques to find that width‐based discharge partitioning is universally applicable, suggesting that absent any site‐specific information, discharge partitioning by average channel width is an appropriate approach. We also provide networks, streamflow measurements, and flux partitioning estimates for 28 delta networks as the Discharge In Distributary NeTworks (DIDNT) dataset. |
| format | Article |
| id | doaj-art-98b83e7ee98d422196dc588e36e73e02 |
| institution | OA Journals |
| issn | 0094-8276 1944-8007 |
| language | English |
| publishDate | 2022-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geophysical Research Letters |
| spelling | doaj-art-98b83e7ee98d422196dc588e36e73e022025-08-20T02:17:21ZengWileyGeophysical Research Letters0094-82761944-80072022-07-014914n/an/a10.1029/2022GL097897Width‐Based Discharge Partitioning in Distributary Networks: How Right We AreJayaram Hariharan0Anastasia Piliouras1Jon Schwenk2Paola Passalacqua3Department of Civil, Architectural and Environmental Engineering The University of Texas at Austin Austin TX USALos Alamos National Laboratory Earth and Environmental Sciences Division Los Alamos NM USALos Alamos National Laboratory Earth and Environmental Sciences Division Los Alamos NM USADepartment of Civil, Architectural and Environmental Engineering The University of Texas at Austin Austin TX USAAbstract River deltas are home to large populations and can be composed of complex channel networks which convey flows of matter to the shoreline. Knowledge of flow within individual channels is needed to quantify the distribution of discharge across the delta, and thus its sustainability over time. Due to a lack of field measurements at the local channel scale, researchers leverage remote sensing data to estimate the partitioning of flow. We compare data from 15 river deltas to discharge partitioning estimates based on channel network graphs derived from remote sensing imagery. We quantify errors in the common width‐based method and test alternative partitioning techniques to find that width‐based discharge partitioning is universally applicable, suggesting that absent any site‐specific information, discharge partitioning by average channel width is an appropriate approach. We also provide networks, streamflow measurements, and flux partitioning estimates for 28 delta networks as the Discharge In Distributary NeTworks (DIDNT) dataset.https://doi.org/10.1029/2022GL097897river deltadelta channel networkgraph theorydischarge partitioning |
| spellingShingle | Jayaram Hariharan Anastasia Piliouras Jon Schwenk Paola Passalacqua Width‐Based Discharge Partitioning in Distributary Networks: How Right We Are Geophysical Research Letters river delta delta channel network graph theory discharge partitioning |
| title | Width‐Based Discharge Partitioning in Distributary Networks: How Right We Are |
| title_full | Width‐Based Discharge Partitioning in Distributary Networks: How Right We Are |
| title_fullStr | Width‐Based Discharge Partitioning in Distributary Networks: How Right We Are |
| title_full_unstemmed | Width‐Based Discharge Partitioning in Distributary Networks: How Right We Are |
| title_short | Width‐Based Discharge Partitioning in Distributary Networks: How Right We Are |
| title_sort | width based discharge partitioning in distributary networks how right we are |
| topic | river delta delta channel network graph theory discharge partitioning |
| url | https://doi.org/10.1029/2022GL097897 |
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