How Have Global River Widths Changed Over Time?
Changes in a river's width reflect natural and anthropogenic impacts on local and upstream/downstream hydraulic and hydrologic processes. Temporal variation of river width also impacts biogeochemical exchange and reflects geomorphologic evolution. However, while global maps of mean river width...
Gespeichert in:
| Veröffentlicht in: | Water resources research 2022-08, Vol.58 (8), p.e2021WR031712-n/a |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | n/a |
|---|---|
| container_issue | 8 |
| container_start_page | e2021WR031712 |
| container_title | Water resources research |
| container_volume | 58 |
| creator | Feng, Dongmei Gleason, Colin J. Yang, Xiao Allen, George H. Pavelsky, Tamlin M. |
| description | Changes in a river's width reflect natural and anthropogenic impacts on local and upstream/downstream hydraulic and hydrologic processes. Temporal variation of river width also impacts biogeochemical exchange and reflects geomorphologic evolution. However, while global maps of mean river width and dynamic water surface extent exist, there is currently no standardized global assessment of river widths that documents changes over time. Therefore, we made repeated width measurements from Landsat images for all rivers wider than 90 m collected from 1984 to 2020 (named Global LOng‐term river Width, GLOW), which consists of ∼1.2 billion cross‐sectional river width measurements, with an average of 3,000 width measurements per 10‐km reach. With GLOW, we investigated the temporal variations of global river width, quantified by the interquartile range (IQR) and temporal trend. We found that 85% of global rivers have a width IQR 90 m wide over 1984–2020, we find 66% of rivers have only slightly variable widths
Thirty‐seven percent of global rivers show significant trends in width over the past 37 years, and this number is higher for human‐regulated rivers (46%)
The most important factor driving temporal variations in river width is the climate for natural rivers and soil condition for regulated rivers |
| doi_str_mv | 10.1029/2021WR031712 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2725443906</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2725443906</sourcerecordid><originalsourceid>FETCH-LOGICAL-a4247-ab1e55318ba99de0e8ca86f5b550f5d9b753e9947d8d26f0b92df1eaf0a589e83</originalsourceid><addsrcrecordid>eNp90E1Lw0AQBuBFFFurN88S8OLB2P3ezEkkaCsIhVDpMWy6E5uSNDXbD_rvTWkV8eBpYHh4Z3gJuWb0gVEOfU45myRUMMP4CekykDI0YMQp6VIqRcgEmA658H5OKZNKm3PSEZpL4Aa6pD-st8HQbjAYlHVmyyApNtgEk8KtZj6IZ3bxgS4Y7XfjosLHS3KW29Lj1XH2yPvL8zgehm-jwWv89BZayaUJbcZQKcGizAI4pBhNbaRzlSlFc-UgM0oggDQuclznNAPucoY2p1ZFgJHokbtD7rKpP9foV2lV-CmWpV1gvfYpN1xJKYDqlt7-ofN63Sza71pFjebtLWjV_UFNm9r7BvN02RSVbXYpo-m-yPR3kS2_OYauswrdD_5urgXiALZFibt_w9JJEidcM23EFxzleVw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2707627539</pqid></control><display><type>article</type><title>How Have Global River Widths Changed Over Time?</title><source>Wiley-Blackwell AGU Digital Library</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Feng, Dongmei ; Gleason, Colin J. ; Yang, Xiao ; Allen, George H. ; Pavelsky, Tamlin M.</creator><creatorcontrib>Feng, Dongmei ; Gleason, Colin J. ; Yang, Xiao ; Allen, George H. ; Pavelsky, Tamlin M.</creatorcontrib><description>Changes in a river's width reflect natural and anthropogenic impacts on local and upstream/downstream hydraulic and hydrologic processes. Temporal variation of river width also impacts biogeochemical exchange and reflects geomorphologic evolution. However, while global maps of mean river width and dynamic water surface extent exist, there is currently no standardized global assessment of river widths that documents changes over time. Therefore, we made repeated width measurements from Landsat images for all rivers wider than 90 m collected from 1984 to 2020 (named Global LOng‐term river Width, GLOW), which consists of ∼1.2 billion cross‐sectional river width measurements, with an average of 3,000 width measurements per 10‐km reach. With GLOW, we investigated the temporal variations of global river width, quantified by the interquartile range (IQR) and temporal trend. We found that 85% of global rivers have a width IQR <150 m. We also found that 37% of global river segments show significant temporal trends in width over the past 37 years, and this number is higher (46%) for human‐regulated rivers. Further, we leveraged machine learning to identify the most important factors explaining river width variations and revealed that these driving factors are significantly different between free‐flowing and non‐free‐flowing rivers. Specifically, the most important factor driving temporal variations in river width is the climate for free‐flowing rivers, and is soil condition for human‐impacted rivers. Finally, we anticipate that this study and the public release of GLOW will improve the understanding of river dynamics and catalyze additional interdisciplinary studies.
Key Points
With ∼1.2 billion widths measured from Landsat for global rivers >90 m wide over 1984–2020, we find 66% of rivers have only slightly variable widths
Thirty‐seven percent of global rivers show significant trends in width over the past 37 years, and this number is higher for human‐regulated rivers (46%)
The most important factor driving temporal variations in river width is the climate for natural rivers and soil condition for regulated rivers</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1029/2021WR031712</identifier><identifier>PMID: 36249279</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Anthropogenic factors ; driving factors ; Geomorphology ; global river width ; Human influences ; Hydrologic processes ; Hydrology ; Interdisciplinary studies ; Landsat ; Machine learning ; Regulated rivers ; Remote sensing ; River regulations ; Rivers ; Satellite imagery ; Soil conditions ; temporal trend ; temporal variability ; Temporal variations ; Width</subject><ispartof>Water resources research, 2022-08, Vol.58 (8), p.e2021WR031712-n/a</ispartof><rights>2022. The Authors.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by-nc-nd/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-a4247-ab1e55318ba99de0e8ca86f5b550f5d9b753e9947d8d26f0b92df1eaf0a589e83</citedby><cites>FETCH-LOGICAL-a4247-ab1e55318ba99de0e8ca86f5b550f5d9b753e9947d8d26f0b92df1eaf0a589e83</cites><orcidid>0000-0003-3141-0371 ; 0000-0002-0046-832X ; 0000-0001-8301-5301 ; 0000-0002-0613-3838 ; 0000-0002-3525-6220</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%2F2021WR031712$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2021WR031712$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,11493,27901,27902,45550,45551,46443,46867</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36249279$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Feng, Dongmei</creatorcontrib><creatorcontrib>Gleason, Colin J.</creatorcontrib><creatorcontrib>Yang, Xiao</creatorcontrib><creatorcontrib>Allen, George H.</creatorcontrib><creatorcontrib>Pavelsky, Tamlin M.</creatorcontrib><title>How Have Global River Widths Changed Over Time?</title><title>Water resources research</title><addtitle>Water Resour Res</addtitle><description>Changes in a river's width reflect natural and anthropogenic impacts on local and upstream/downstream hydraulic and hydrologic processes. Temporal variation of river width also impacts biogeochemical exchange and reflects geomorphologic evolution. However, while global maps of mean river width and dynamic water surface extent exist, there is currently no standardized global assessment of river widths that documents changes over time. Therefore, we made repeated width measurements from Landsat images for all rivers wider than 90 m collected from 1984 to 2020 (named Global LOng‐term river Width, GLOW), which consists of ∼1.2 billion cross‐sectional river width measurements, with an average of 3,000 width measurements per 10‐km reach. With GLOW, we investigated the temporal variations of global river width, quantified by the interquartile range (IQR) and temporal trend. We found that 85% of global rivers have a width IQR <150 m. We also found that 37% of global river segments show significant temporal trends in width over the past 37 years, and this number is higher (46%) for human‐regulated rivers. Further, we leveraged machine learning to identify the most important factors explaining river width variations and revealed that these driving factors are significantly different between free‐flowing and non‐free‐flowing rivers. Specifically, the most important factor driving temporal variations in river width is the climate for free‐flowing rivers, and is soil condition for human‐impacted rivers. Finally, we anticipate that this study and the public release of GLOW will improve the understanding of river dynamics and catalyze additional interdisciplinary studies.
Key Points
With ∼1.2 billion widths measured from Landsat for global rivers >90 m wide over 1984–2020, we find 66% of rivers have only slightly variable widths
Thirty‐seven percent of global rivers show significant trends in width over the past 37 years, and this number is higher for human‐regulated rivers (46%)
The most important factor driving temporal variations in river width is the climate for natural rivers and soil condition for regulated rivers</description><subject>Anthropogenic factors</subject><subject>driving factors</subject><subject>Geomorphology</subject><subject>global river width</subject><subject>Human influences</subject><subject>Hydrologic processes</subject><subject>Hydrology</subject><subject>Interdisciplinary studies</subject><subject>Landsat</subject><subject>Machine learning</subject><subject>Regulated rivers</subject><subject>Remote sensing</subject><subject>River regulations</subject><subject>Rivers</subject><subject>Satellite imagery</subject><subject>Soil conditions</subject><subject>temporal trend</subject><subject>temporal variability</subject><subject>Temporal variations</subject><subject>Width</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp90E1Lw0AQBuBFFFurN88S8OLB2P3ezEkkaCsIhVDpMWy6E5uSNDXbD_rvTWkV8eBpYHh4Z3gJuWb0gVEOfU45myRUMMP4CekykDI0YMQp6VIqRcgEmA658H5OKZNKm3PSEZpL4Aa6pD-st8HQbjAYlHVmyyApNtgEk8KtZj6IZ3bxgS4Y7XfjosLHS3KW29Lj1XH2yPvL8zgehm-jwWv89BZayaUJbcZQKcGizAI4pBhNbaRzlSlFc-UgM0oggDQuclznNAPucoY2p1ZFgJHokbtD7rKpP9foV2lV-CmWpV1gvfYpN1xJKYDqlt7-ofN63Sza71pFjebtLWjV_UFNm9r7BvN02RSVbXYpo-m-yPR3kS2_OYauswrdD_5urgXiALZFibt_w9JJEidcM23EFxzleVw</recordid><startdate>202208</startdate><enddate>202208</enddate><creator>Feng, Dongmei</creator><creator>Gleason, Colin J.</creator><creator>Yang, Xiao</creator><creator>Allen, George H.</creator><creator>Pavelsky, Tamlin M.</creator><general>John Wiley & Sons, Inc</general><scope>24P</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7T7</scope><scope>7TG</scope><scope>7U9</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H94</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3141-0371</orcidid><orcidid>https://orcid.org/0000-0002-0046-832X</orcidid><orcidid>https://orcid.org/0000-0001-8301-5301</orcidid><orcidid>https://orcid.org/0000-0002-0613-3838</orcidid><orcidid>https://orcid.org/0000-0002-3525-6220</orcidid></search><sort><creationdate>202208</creationdate><title>How Have Global River Widths Changed Over Time?</title><author>Feng, Dongmei ; Gleason, Colin J. ; Yang, Xiao ; Allen, George H. ; Pavelsky, Tamlin M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a4247-ab1e55318ba99de0e8ca86f5b550f5d9b753e9947d8d26f0b92df1eaf0a589e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Anthropogenic factors</topic><topic>driving factors</topic><topic>Geomorphology</topic><topic>global river width</topic><topic>Human influences</topic><topic>Hydrologic processes</topic><topic>Hydrology</topic><topic>Interdisciplinary studies</topic><topic>Landsat</topic><topic>Machine learning</topic><topic>Regulated rivers</topic><topic>Remote sensing</topic><topic>River regulations</topic><topic>Rivers</topic><topic>Satellite imagery</topic><topic>Soil conditions</topic><topic>temporal trend</topic><topic>temporal variability</topic><topic>Temporal variations</topic><topic>Width</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Feng, Dongmei</creatorcontrib><creatorcontrib>Gleason, Colin J.</creatorcontrib><creatorcontrib>Yang, Xiao</creatorcontrib><creatorcontrib>Allen, George H.</creatorcontrib><creatorcontrib>Pavelsky, Tamlin M.</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Virology and AIDS 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>AIDS and Cancer Research Abstracts</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>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Water resources research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Feng, Dongmei</au><au>Gleason, Colin J.</au><au>Yang, Xiao</au><au>Allen, George H.</au><au>Pavelsky, Tamlin M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How Have Global River Widths Changed Over Time?</atitle><jtitle>Water resources research</jtitle><addtitle>Water Resour Res</addtitle><date>2022-08</date><risdate>2022</risdate><volume>58</volume><issue>8</issue><spage>e2021WR031712</spage><epage>n/a</epage><pages>e2021WR031712-n/a</pages><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>Changes in a river's width reflect natural and anthropogenic impacts on local and upstream/downstream hydraulic and hydrologic processes. Temporal variation of river width also impacts biogeochemical exchange and reflects geomorphologic evolution. However, while global maps of mean river width and dynamic water surface extent exist, there is currently no standardized global assessment of river widths that documents changes over time. Therefore, we made repeated width measurements from Landsat images for all rivers wider than 90 m collected from 1984 to 2020 (named Global LOng‐term river Width, GLOW), which consists of ∼1.2 billion cross‐sectional river width measurements, with an average of 3,000 width measurements per 10‐km reach. With GLOW, we investigated the temporal variations of global river width, quantified by the interquartile range (IQR) and temporal trend. We found that 85% of global rivers have a width IQR <150 m. We also found that 37% of global river segments show significant temporal trends in width over the past 37 years, and this number is higher (46%) for human‐regulated rivers. Further, we leveraged machine learning to identify the most important factors explaining river width variations and revealed that these driving factors are significantly different between free‐flowing and non‐free‐flowing rivers. Specifically, the most important factor driving temporal variations in river width is the climate for free‐flowing rivers, and is soil condition for human‐impacted rivers. Finally, we anticipate that this study and the public release of GLOW will improve the understanding of river dynamics and catalyze additional interdisciplinary studies.
Key Points
With ∼1.2 billion widths measured from Landsat for global rivers >90 m wide over 1984–2020, we find 66% of rivers have only slightly variable widths
Thirty‐seven percent of global rivers show significant trends in width over the past 37 years, and this number is higher for human‐regulated rivers (46%)
The most important factor driving temporal variations in river width is the climate for natural rivers and soil condition for regulated rivers</abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>36249279</pmid><doi>10.1029/2021WR031712</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0003-3141-0371</orcidid><orcidid>https://orcid.org/0000-0002-0046-832X</orcidid><orcidid>https://orcid.org/0000-0001-8301-5301</orcidid><orcidid>https://orcid.org/0000-0002-0613-3838</orcidid><orcidid>https://orcid.org/0000-0002-3525-6220</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0043-1397 |
| ispartof | Water resources research, 2022-08, Vol.58 (8), p.e2021WR031712-n/a |
| issn | 0043-1397 1944-7973 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2725443906 |
| source | Wiley-Blackwell AGU Digital Library; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Anthropogenic factors driving factors Geomorphology global river width Human influences Hydrologic processes Hydrology Interdisciplinary studies Landsat Machine learning Regulated rivers Remote sensing River regulations Rivers Satellite imagery Soil conditions temporal trend temporal variability Temporal variations Width |
| title | How Have Global River Widths Changed Over Time? |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T20%3A52%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=How%20Have%20Global%20River%20Widths%20Changed%20Over%20Time?&rft.jtitle=Water%20resources%20research&rft.au=Feng,%20Dongmei&rft.date=2022-08&rft.volume=58&rft.issue=8&rft.spage=e2021WR031712&rft.epage=n/a&rft.pages=e2021WR031712-n/a&rft.issn=0043-1397&rft.eissn=1944-7973&rft_id=info:doi/10.1029/2021WR031712&rft_dat=%3Cproquest_cross%3E2725443906%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2707627539&rft_id=info:pmid/36249279&rfr_iscdi=true |