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Modelling of channel transmission loss processes in semi-arid catchments of southern Africa using the Pitman Model
Water availability is one of the major societal issues facing the world. The ability to understand and quantify the impact of key hydrological processes, on the availability of water resources, is therefore integral to ensuring equitable and sustainable resource management. Channel transmission loss...
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| creator | Mvandaba, Vuyelwa Hughes, Denis Evison Kapangaziwiri Jean-Marc Mwenge Kahinda Oosthuizen, Nadia |
| description | Water availability is one of the major societal issues
facing the world. The ability to understand and quantify the impact of key
hydrological processes, on the availability of water resources, is therefore
integral to ensuring equitable and sustainable resource management. Channel
transmission losses are an “under-researched” hydrological process that
affects resource availability in many semi-arid regions such as the Limpopo
River Basin in southern Africa, where the loss processes amount to
approximately 30 % of the water balance. To improve the understanding
of these loss processes and test the capability of modelling routines, three
approaches using the Pitman model are applied to selected alluvial aquifer
environments. The three approaches are an explicit transmission loss
function, the use of a wetland function to represent channel-floodplain
storage exchanges and the use of a “dummy” reservoir to represent floodplain
storage and evapotranspiration losses. Results indicate that all three
approaches are able to simulate channel transmission losses with differing
impacts on the regional flows. A determination of which method best
represents the channel transmission losses process requires further testing
in a study area that has reliable observed historical records. |
| doi_str_mv | 10.5194/piahs-378-17-2018 |
| format | conference_proceeding |
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facing the world. The ability to understand and quantify the impact of key
hydrological processes, on the availability of water resources, is therefore
integral to ensuring equitable and sustainable resource management. Channel
transmission losses are an “under-researched” hydrological process that
affects resource availability in many semi-arid regions such as the Limpopo
River Basin in southern Africa, where the loss processes amount to
approximately 30 % of the water balance. To improve the understanding
of these loss processes and test the capability of modelling routines, three
approaches using the Pitman model are applied to selected alluvial aquifer
environments. The three approaches are an explicit transmission loss
function, the use of a wetland function to represent channel-floodplain
storage exchanges and the use of a “dummy” reservoir to represent floodplain
storage and evapotranspiration losses. Results indicate that all three
approaches are able to simulate channel transmission losses with differing
impacts on the regional flows. A determination of which method best
represents the channel transmission losses process requires further testing
in a study area that has reliable observed historical records.</description><identifier>ISSN: 2199-899X</identifier><identifier>ISSN: 2199-8981</identifier><identifier>EISSN: 2199-899X</identifier><identifier>DOI: 10.5194/piahs-378-17-2018</identifier><language>eng</language><publisher>Gottingen: Copernicus GmbH</publisher><subject>Alluvial aquifers ; Aquifers ; Arid regions ; Arid zones ; Catchment area ; Catchments ; Computer simulation ; Evapotranspiration ; Evapotranspiration losses ; Floodplains ; Hydrologic research ; Hydrology ; Modelling ; Resource availability ; Resource management ; River basins ; Rivers ; Semi arid areas ; Semiarid lands ; Transmission loss ; Water availability ; Water balance ; Water resources</subject><ispartof>Proceedings of the International Association of Hydrological Sciences, 2018, Vol.378, p.17-22</ispartof><rights>Copyright Copernicus GmbH 2018</rights><rights>2018. This work is published under https://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-c410t-537d4f8abcc7dae1c13c542d7e44ae4fe632ab744c99b31335714cb1ad70e5393</citedby><cites>FETCH-LOGICAL-c410t-537d4f8abcc7dae1c13c542d7e44ae4fe632ab744c99b31335714cb1ad70e5393</cites><orcidid>0000-0002-0370-6979 ; 0000-0002-1737-7213</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Mvandaba, Vuyelwa</creatorcontrib><creatorcontrib>Hughes, Denis</creatorcontrib><creatorcontrib>Evison Kapangaziwiri</creatorcontrib><creatorcontrib>Jean-Marc Mwenge Kahinda</creatorcontrib><creatorcontrib>Oosthuizen, Nadia</creatorcontrib><title>Modelling of channel transmission loss processes in semi-arid catchments of southern Africa using the Pitman Model</title><title>Proceedings of the International Association of Hydrological Sciences</title><description>Water availability is one of the major societal issues
facing the world. The ability to understand and quantify the impact of key
hydrological processes, on the availability of water resources, is therefore
integral to ensuring equitable and sustainable resource management. Channel
transmission losses are an “under-researched” hydrological process that
affects resource availability in many semi-arid regions such as the Limpopo
River Basin in southern Africa, where the loss processes amount to
approximately 30 % of the water balance. To improve the understanding
of these loss processes and test the capability of modelling routines, three
approaches using the Pitman model are applied to selected alluvial aquifer
environments. The three approaches are an explicit transmission loss
function, the use of a wetland function to represent channel-floodplain
storage exchanges and the use of a “dummy” reservoir to represent floodplain
storage and evapotranspiration losses. Results indicate that all three
approaches are able to simulate channel transmission losses with differing
impacts on the regional flows. A determination of which method best
represents the channel transmission losses process requires further testing
in a study area that has reliable observed historical records.</description><subject>Alluvial aquifers</subject><subject>Aquifers</subject><subject>Arid regions</subject><subject>Arid zones</subject><subject>Catchment area</subject><subject>Catchments</subject><subject>Computer simulation</subject><subject>Evapotranspiration</subject><subject>Evapotranspiration losses</subject><subject>Floodplains</subject><subject>Hydrologic research</subject><subject>Hydrology</subject><subject>Modelling</subject><subject>Resource availability</subject><subject>Resource management</subject><subject>River basins</subject><subject>Rivers</subject><subject>Semi arid areas</subject><subject>Semiarid lands</subject><subject>Transmission loss</subject><subject>Water availability</subject><subject>Water balance</subject><subject>Water resources</subject><issn>2199-899X</issn><issn>2199-8981</issn><issn>2199-899X</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2018</creationdate><recordtype>conference_proceeding</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9UU1rGzEQFaGFBjc_oDdBzttqVtJqdQyhH4GU9NBCb2IsjWKZXcmV1of--67tUnrKXGZ4vHnzmMfYOxDvNVj14ZBw1zppxg5M1wsYr9h1D9Z2o7U_X_03v2E3re2FEKC1hWG8ZvVrCTRNKT_zErnfYc408aVibnNqLZXMp9IaP9TiqTVqPGXeaE4d1hS4x8XvZspLO623clx2VDO_izV55Md20l0h_i0tM2Z-PvaWvY44Nbr52zfsx6eP3--_dI9Pnx_u7x47r0AsnZYmqDji1nsTkMCD9Fr1wZBSSCrSIHvcGqW8tVsJUmoDym8BgxGkpZUb9nDRDQX37lDTjPW3K5jcGSj12WFdkp_IaW2kGtBa25NCa2yIKGPvyYchyrU27Paitf7h15Ha4vblWPNq3_VgjDDKjvZFllB6pQzjsLLgwvJ1_Wyl-M8bCHfK053zdGueDow75Sn_AKrTlVI</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Mvandaba, Vuyelwa</creator><creator>Hughes, Denis</creator><creator>Evison Kapangaziwiri</creator><creator>Jean-Marc Mwenge Kahinda</creator><creator>Oosthuizen, Nadia</creator><general>Copernicus GmbH</general><general>Copernicus Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>8FE</scope><scope>8FG</scope><scope>AAFGM</scope><scope>AAMXL</scope><scope>ABJCF</scope><scope>ABQRF</scope><scope>ABRGS</scope><scope>ABUWG</scope><scope>ADZZV</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AFLLJ</scope><scope>AGAJT</scope><scope>AQTIP</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>EACXX</scope><scope>F1W</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L6V</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQCXX</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>SQOEQ</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0370-6979</orcidid><orcidid>https://orcid.org/0000-0002-1737-7213</orcidid></search><sort><creationdate>20180101</creationdate><title>Modelling of channel transmission loss processes in semi-arid catchments of southern Africa using the Pitman Model</title><author>Mvandaba, Vuyelwa ; Hughes, Denis ; Evison Kapangaziwiri ; Jean-Marc Mwenge Kahinda ; Oosthuizen, Nadia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c410t-537d4f8abcc7dae1c13c542d7e44ae4fe632ab744c99b31335714cb1ad70e5393</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Alluvial aquifers</topic><topic>Aquifers</topic><topic>Arid regions</topic><topic>Arid zones</topic><topic>Catchment area</topic><topic>Catchments</topic><topic>Computer simulation</topic><topic>Evapotranspiration</topic><topic>Evapotranspiration losses</topic><topic>Floodplains</topic><topic>Hydrologic research</topic><topic>Hydrology</topic><topic>Modelling</topic><topic>Resource availability</topic><topic>Resource management</topic><topic>River basins</topic><topic>Rivers</topic><topic>Semi arid areas</topic><topic>Semiarid lands</topic><topic>Transmission loss</topic><topic>Water availability</topic><topic>Water balance</topic><topic>Water resources</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mvandaba, Vuyelwa</creatorcontrib><creatorcontrib>Hughes, Denis</creatorcontrib><creatorcontrib>Evison Kapangaziwiri</creatorcontrib><creatorcontrib>Jean-Marc Mwenge Kahinda</creatorcontrib><creatorcontrib>Oosthuizen, Nadia</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>DOAJ Directory of Open Access Journals</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mvandaba, Vuyelwa</au><au>Hughes, Denis</au><au>Evison Kapangaziwiri</au><au>Jean-Marc Mwenge Kahinda</au><au>Oosthuizen, Nadia</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Modelling of channel transmission loss processes in semi-arid catchments of southern Africa using the Pitman Model</atitle><btitle>Proceedings of the International Association of Hydrological Sciences</btitle><date>2018-01-01</date><risdate>2018</risdate><volume>378</volume><spage>17</spage><epage>22</epage><pages>17-22</pages><issn>2199-899X</issn><issn>2199-8981</issn><eissn>2199-899X</eissn><abstract>Water availability is one of the major societal issues
facing the world. The ability to understand and quantify the impact of key
hydrological processes, on the availability of water resources, is therefore
integral to ensuring equitable and sustainable resource management. Channel
transmission losses are an “under-researched” hydrological process that
affects resource availability in many semi-arid regions such as the Limpopo
River Basin in southern Africa, where the loss processes amount to
approximately 30 % of the water balance. To improve the understanding
of these loss processes and test the capability of modelling routines, three
approaches using the Pitman model are applied to selected alluvial aquifer
environments. The three approaches are an explicit transmission loss
function, the use of a wetland function to represent channel-floodplain
storage exchanges and the use of a “dummy” reservoir to represent floodplain
storage and evapotranspiration losses. Results indicate that all three
approaches are able to simulate channel transmission losses with differing
impacts on the regional flows. A determination of which method best
represents the channel transmission losses process requires further testing
in a study area that has reliable observed historical records.</abstract><cop>Gottingen</cop><pub>Copernicus GmbH</pub><doi>10.5194/piahs-378-17-2018</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-0370-6979</orcidid><orcidid>https://orcid.org/0000-0002-1737-7213</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2199-899X |
| ispartof | Proceedings of the International Association of Hydrological Sciences, 2018, Vol.378, p.17-22 |
| issn | 2199-899X 2199-8981 2199-899X |
| language | eng |
| recordid | cdi_doaj_primary_oai_doaj_org_article_557346a9992e4a979dfa3f2cecd6f333 |
| source | IngentaConnect Journals |
| subjects | Alluvial aquifers Aquifers Arid regions Arid zones Catchment area Catchments Computer simulation Evapotranspiration Evapotranspiration losses Floodplains Hydrologic research Hydrology Modelling Resource availability Resource management River basins Rivers Semi arid areas Semiarid lands Transmission loss Water availability Water balance Water resources |
| title | Modelling of channel transmission loss processes in semi-arid catchments of southern Africa using the Pitman Model |
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