Quantifying terrain controls on runoff retention and routing in the Northern Prairies
The role of hummocky terrain in governing runoff routing and focussing groundwater recharge in the Northern Prairies of North America is widely recognised. However, most hydrological studies in the region have not effectively utilised information on the surficial geology and associated landforms in...
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description | The role of hummocky terrain in governing runoff routing and focussing groundwater recharge in the Northern Prairies of North America is widely recognised. However, most hydrological studies in the region have not effectively utilised information on the surficial geology and associated landforms in large‐scale hydrological characterization. The present study uses an automated digital elevation model (DEM) analysis of a 6500‐km2 area in the Northern Prairies to quantify hydrologically relevant terrain parameters for the common types of terrains in the prairies with different surficial deposits widespread in the prairies, namely, moraines and glaciolacustrine deposits. Runoff retention (and storage) capacity within depressions varies greatly between different surficial deposits and is comparable in magnitude with a typical amount of seasonal snowmelt runoff generation. The terrain constraint on potential runoff retention varies from a few millimetres in areas classified as moraine to tens of millimetres in areas classified as stagnant ice moraine deposits. Fluted moraine and glaciolacustrine deposits have intermediate storage capacity values. The study also identified the probability density function describing a number of immediate upstream neighbours for each depression in a fill‐and‐spill network. A relationship between depression parameters and surficial deposits, as well as identified depression network structure, allows parametrisation of hydrologic models outside of the high‐resolution DEM coverage, which can still account for terrain variation in the Prairies.
Hydrologically relevant terrain parameters were extracted from high‐resolution DEM covering over 2000 km2 and were linked to the types of surficial deposits. |
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Hydrologically relevant terrain parameters were extracted from high‐resolution DEM covering over 2000 km2 and were linked to the types of surficial deposits.</description><identifier>ISSN: 0885-6087</identifier><identifier>EISSN: 1099-1085</identifier><identifier>DOI: 10.1002/hyp.13599</identifier><language>eng</language><publisher>HOBOKEN: Wiley</publisher><subject>DEM analysis ; Deposits ; Digital Elevation Models ; Geology ; Groundwater ; Groundwater recharge ; Groundwater runoff ; hummocky ; Hydrologic models ; Hydrologic studies ; Hydrology ; Identification ; Lake deposits ; Landforms ; LiDAR ; Moraines ; Parameter identification ; Parameterization ; Parameters ; Physical Sciences ; Prairies ; Probability density function ; Probability density functions ; Probability theory ; recharge ; Retention ; Routing ; Runoff ; runoff retention ; runoff routing ; Science & Technology ; Snowmelt ; Snowmelt runoff ; Storage capacity ; Storage conditions ; Terrain ; Water Resources</subject><ispartof>Hydrological processes, 2020-01, Vol.34 (2), p.473-484</ispartof><rights>2019 John Wiley & Sons, Ltd.</rights><rights>2020 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>6</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000509548100022</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-a3209-aba75c9e516f7f142cd918d015c958731f5cf432f0cc3e1a7870a1a29c49d3893</citedby><cites>FETCH-LOGICAL-a3209-aba75c9e516f7f142cd918d015c958731f5cf432f0cc3e1a7870a1a29c49d3893</cites><orcidid>0000-0001-7232-0351 ; 0000-0002-2898-6102 ; 0000-0003-4890-3113</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhyp.13599$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhyp.13599$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,782,786,1419,27931,27932,28255,45581,45582</link.rule.ids></links><search><creatorcontrib>Pavlovskii, Igor</creatorcontrib><creatorcontrib>Noorduijn, Saskia L.</creatorcontrib><creatorcontrib>Liggett, Jessica E.</creatorcontrib><creatorcontrib>Klassen, Jeanette</creatorcontrib><creatorcontrib>Hayashi, Masaki</creatorcontrib><title>Quantifying terrain controls on runoff retention and routing in the Northern Prairies</title><title>Hydrological processes</title><addtitle>HYDROL PROCESS</addtitle><description>The role of hummocky terrain in governing runoff routing and focussing groundwater recharge in the Northern Prairies of North America is widely recognised. However, most hydrological studies in the region have not effectively utilised information on the surficial geology and associated landforms in large‐scale hydrological characterization. The present study uses an automated digital elevation model (DEM) analysis of a 6500‐km2 area in the Northern Prairies to quantify hydrologically relevant terrain parameters for the common types of terrains in the prairies with different surficial deposits widespread in the prairies, namely, moraines and glaciolacustrine deposits. Runoff retention (and storage) capacity within depressions varies greatly between different surficial deposits and is comparable in magnitude with a typical amount of seasonal snowmelt runoff generation. The terrain constraint on potential runoff retention varies from a few millimetres in areas classified as moraine to tens of millimetres in areas classified as stagnant ice moraine deposits. Fluted moraine and glaciolacustrine deposits have intermediate storage capacity values. The study also identified the probability density function describing a number of immediate upstream neighbours for each depression in a fill‐and‐spill network. A relationship between depression parameters and surficial deposits, as well as identified depression network structure, allows parametrisation of hydrologic models outside of the high‐resolution DEM coverage, which can still account for terrain variation in the Prairies.
Hydrologically relevant terrain parameters were extracted from high‐resolution DEM covering over 2000 km2 and were linked to the types of surficial deposits.</description><subject>DEM analysis</subject><subject>Deposits</subject><subject>Digital Elevation Models</subject><subject>Geology</subject><subject>Groundwater</subject><subject>Groundwater recharge</subject><subject>Groundwater runoff</subject><subject>hummocky</subject><subject>Hydrologic models</subject><subject>Hydrologic studies</subject><subject>Hydrology</subject><subject>Identification</subject><subject>Lake deposits</subject><subject>Landforms</subject><subject>LiDAR</subject><subject>Moraines</subject><subject>Parameter identification</subject><subject>Parameterization</subject><subject>Parameters</subject><subject>Physical Sciences</subject><subject>Prairies</subject><subject>Probability density function</subject><subject>Probability density functions</subject><subject>Probability theory</subject><subject>recharge</subject><subject>Retention</subject><subject>Routing</subject><subject>Runoff</subject><subject>runoff retention</subject><subject>runoff routing</subject><subject>Science & Technology</subject><subject>Snowmelt</subject><subject>Snowmelt runoff</subject><subject>Storage capacity</subject><subject>Storage conditions</subject><subject>Terrain</subject><subject>Water Resources</subject><issn>0885-6087</issn><issn>1099-1085</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><recordid>eNqNkEFLwzAUgIMoOKcH_0HAk0i3l6ZZk6MMdcLQCe7gqWRp4jpmMpMU6b83s8Ob4OnB4_uSx4fQJYERAcjH6243IpQJcYQGBITICHB2jAbAOcsmwMtTdBbCBgAK4DBAy5dW2tiYrrHvOGrvZWOxcjZ6tw3YWexb64zBXkeduLSQtsbetXEvJDauNX5yPg1v8SLpvtHhHJ0YuQ364jCHaHl_9zqdZfPnh8fp7TyTNAeRyZUsmRKakYkpDSlyVQvCayBpyXhJiWHKFDQ3oBTVRJa8BElkLlQhasoFHaKr_t2dd5-tDrHauNbb9GWV04JQPkktEnXdU8q7ELw21c43H9J3FYFqX61K1aqfaonlPfulV84E1Wir9C-fsjEQrODJgjyfNlHum0xda2NSb_6vJnp8oJut7v6-qJq9LfrTvgFlBo-n</recordid><startdate>202001</startdate><enddate>202001</enddate><creator>Pavlovskii, Igor</creator><creator>Noorduijn, Saskia L.</creator><creator>Liggett, Jessica E.</creator><creator>Klassen, Jeanette</creator><creator>Hayashi, Masaki</creator><general>Wiley</general><general>Wiley Subscription Services, Inc</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-7232-0351</orcidid><orcidid>https://orcid.org/0000-0002-2898-6102</orcidid><orcidid>https://orcid.org/0000-0003-4890-3113</orcidid></search><sort><creationdate>202001</creationdate><title>Quantifying terrain controls on runoff retention and routing in the Northern Prairies</title><author>Pavlovskii, Igor ; Noorduijn, Saskia L. ; Liggett, Jessica E. ; Klassen, Jeanette ; Hayashi, Masaki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3209-aba75c9e516f7f142cd918d015c958731f5cf432f0cc3e1a7870a1a29c49d3893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>DEM analysis</topic><topic>Deposits</topic><topic>Digital Elevation Models</topic><topic>Geology</topic><topic>Groundwater</topic><topic>Groundwater recharge</topic><topic>Groundwater runoff</topic><topic>hummocky</topic><topic>Hydrologic models</topic><topic>Hydrologic studies</topic><topic>Hydrology</topic><topic>Identification</topic><topic>Lake deposits</topic><topic>Landforms</topic><topic>LiDAR</topic><topic>Moraines</topic><topic>Parameter identification</topic><topic>Parameterization</topic><topic>Parameters</topic><topic>Physical Sciences</topic><topic>Prairies</topic><topic>Probability density function</topic><topic>Probability density functions</topic><topic>Probability theory</topic><topic>recharge</topic><topic>Retention</topic><topic>Routing</topic><topic>Runoff</topic><topic>runoff retention</topic><topic>runoff routing</topic><topic>Science & Technology</topic><topic>Snowmelt</topic><topic>Snowmelt runoff</topic><topic>Storage capacity</topic><topic>Storage conditions</topic><topic>Terrain</topic><topic>Water Resources</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pavlovskii, Igor</creatorcontrib><creatorcontrib>Noorduijn, Saskia L.</creatorcontrib><creatorcontrib>Liggett, Jessica E.</creatorcontrib><creatorcontrib>Klassen, Jeanette</creatorcontrib><creatorcontrib>Hayashi, Masaki</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>CrossRef</collection><collection>Aqualine</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>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>Environment Abstracts</collection><jtitle>Hydrological processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pavlovskii, Igor</au><au>Noorduijn, Saskia L.</au><au>Liggett, Jessica E.</au><au>Klassen, Jeanette</au><au>Hayashi, Masaki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantifying terrain controls on runoff retention and routing in the Northern Prairies</atitle><jtitle>Hydrological processes</jtitle><stitle>HYDROL PROCESS</stitle><date>2020-01</date><risdate>2020</risdate><volume>34</volume><issue>2</issue><spage>473</spage><epage>484</epage><pages>473-484</pages><issn>0885-6087</issn><eissn>1099-1085</eissn><abstract>The role of hummocky terrain in governing runoff routing and focussing groundwater recharge in the Northern Prairies of North America is widely recognised. However, most hydrological studies in the region have not effectively utilised information on the surficial geology and associated landforms in large‐scale hydrological characterization. The present study uses an automated digital elevation model (DEM) analysis of a 6500‐km2 area in the Northern Prairies to quantify hydrologically relevant terrain parameters for the common types of terrains in the prairies with different surficial deposits widespread in the prairies, namely, moraines and glaciolacustrine deposits. Runoff retention (and storage) capacity within depressions varies greatly between different surficial deposits and is comparable in magnitude with a typical amount of seasonal snowmelt runoff generation. The terrain constraint on potential runoff retention varies from a few millimetres in areas classified as moraine to tens of millimetres in areas classified as stagnant ice moraine deposits. Fluted moraine and glaciolacustrine deposits have intermediate storage capacity values. The study also identified the probability density function describing a number of immediate upstream neighbours for each depression in a fill‐and‐spill network. A relationship between depression parameters and surficial deposits, as well as identified depression network structure, allows parametrisation of hydrologic models outside of the high‐resolution DEM coverage, which can still account for terrain variation in the Prairies.
Hydrologically relevant terrain parameters were extracted from high‐resolution DEM covering over 2000 km2 and were linked to the types of surficial deposits.</abstract><cop>HOBOKEN</cop><pub>Wiley</pub><doi>10.1002/hyp.13599</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-7232-0351</orcidid><orcidid>https://orcid.org/0000-0002-2898-6102</orcidid><orcidid>https://orcid.org/0000-0003-4890-3113</orcidid></addata></record> |
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subjects | DEM analysis Deposits Digital Elevation Models Geology Groundwater Groundwater recharge Groundwater runoff hummocky Hydrologic models Hydrologic studies Hydrology Identification Lake deposits Landforms LiDAR Moraines Parameter identification Parameterization Parameters Physical Sciences Prairies Probability density function Probability density functions Probability theory recharge Retention Routing Runoff runoff retention runoff routing Science & Technology Snowmelt Snowmelt runoff Storage capacity Storage conditions Terrain Water Resources |
title | Quantifying terrain controls on runoff retention and routing in the Northern Prairies |
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