A Review of SWAT Model Application in Africa

The soil and water assessment tool (SWAT) is a well-known hydrological modeling tool that has been applied in various hydrologic and environmental simulations. A total of 206 studies over a 15-year period (2005–2019) were identified from various peer-reviewed scientific journals listed on the SWAT w...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Water (Basel) 2021-05, Vol.13 (9), p.1313
Hauptverfasser: Akoko, George, Le, Tu Hoang, Gomi, Takashi, Kato, Tasuku
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 9
container_start_page 1313
container_title Water (Basel)
container_volume 13
creator Akoko, George
Le, Tu Hoang
Gomi, Takashi
Kato, Tasuku
description The soil and water assessment tool (SWAT) is a well-known hydrological modeling tool that has been applied in various hydrologic and environmental simulations. A total of 206 studies over a 15-year period (2005–2019) were identified from various peer-reviewed scientific journals listed on the SWAT website database, which is supported by the Centre for Agricultural and Rural Development (CARD). These studies were categorized into five areas, namely applications considering: water resources and streamflow, erosion and sedimentation, land-use management and agricultural-related contexts, climate-change contexts, and model parameterization and dataset inputs. Water resources studies were applied to understand hydrological processes and responses in various river basins. Land-use and agriculture-related context studies mainly analyzed impacts and mitigation measures on the environment and provided insights into better environmental management. Erosion and sedimentation studies using the SWAT model were done to quantify sediment yield and evaluate soil conservation measures. Climate-change context studies mainly demonstrated streamflow sensitivity to weather changes. The model parameterization studies highlighted parameter selection in streamflow analysis, model improvements, and basin scale calibrations. Dataset inputs mainly compared simulations with rain-gauge and global rainfall data sources. The challenges and advantages of the SWAT model’s applications, which range from data availability and prediction uncertainties to the model’s capability in various applications, are highlighted. Discussions on considerations for future simulations such as data sharing, and potential for better future analysis are also highlighted. Increased efforts in local data availability and a multidimensional approach in future simulations are recommended.
doi_str_mv 10.3390/w13091313
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2530130401</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A791328669</galeid><sourcerecordid>A791328669</sourcerecordid><originalsourceid>FETCH-LOGICAL-c397t-b29d32d175e5f3475e229c6081436f1f9bdaf467905ff8981652fb9314073a0d3</originalsourceid><addsrcrecordid>eNpNUNtKxDAQDaLgUvfBPwj4JNg1yaSXPJbFG6wIuuJjSNuMZOk2Ne26-PdGVsQZmDMzzPUQcs7ZAkCx6z0HpjhwOCIzwQpIpZT8-J9_SubjuGFRpCrLjM3IVUWf7aeze-qRvrxVa_roW9vRahg615jJ-Z66nlYYYnRGTtB0o53_YkJeb2_Wy_t09XT3sKxWaQOqmNJaqBZEy4vMZggyghCqyVnJJeTIUdWtQZkXimWIpSp5ngmsFXAZ7zSshYRcHOYOwX_s7Djpjd-FPq7UIgMWv5TRJGRxqHo3ndWuRz8F00Rt7dY1vrfoYr4qIiOizHMVGy4PDU3w4xgs6iG4rQlfmjP9Q6D-IxC-AUD4XYY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2530130401</pqid></control><display><type>article</type><title>A Review of SWAT Model Application in Africa</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><creator>Akoko, George ; Le, Tu Hoang ; Gomi, Takashi ; Kato, Tasuku</creator><creatorcontrib>Akoko, George ; Le, Tu Hoang ; Gomi, Takashi ; Kato, Tasuku</creatorcontrib><description>The soil and water assessment tool (SWAT) is a well-known hydrological modeling tool that has been applied in various hydrologic and environmental simulations. A total of 206 studies over a 15-year period (2005–2019) were identified from various peer-reviewed scientific journals listed on the SWAT website database, which is supported by the Centre for Agricultural and Rural Development (CARD). These studies were categorized into five areas, namely applications considering: water resources and streamflow, erosion and sedimentation, land-use management and agricultural-related contexts, climate-change contexts, and model parameterization and dataset inputs. Water resources studies were applied to understand hydrological processes and responses in various river basins. Land-use and agriculture-related context studies mainly analyzed impacts and mitigation measures on the environment and provided insights into better environmental management. Erosion and sedimentation studies using the SWAT model were done to quantify sediment yield and evaluate soil conservation measures. Climate-change context studies mainly demonstrated streamflow sensitivity to weather changes. The model parameterization studies highlighted parameter selection in streamflow analysis, model improvements, and basin scale calibrations. Dataset inputs mainly compared simulations with rain-gauge and global rainfall data sources. The challenges and advantages of the SWAT model’s applications, which range from data availability and prediction uncertainties to the model’s capability in various applications, are highlighted. Discussions on considerations for future simulations such as data sharing, and potential for better future analysis are also highlighted. Increased efforts in local data availability and a multidimensional approach in future simulations are recommended.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w13091313</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Agricultural development ; Agricultural land ; Agriculture ; Aquatic resources ; Availability ; Basins ; Bias ; Climate change ; Climatic changes ; Data retrieval ; Datasets ; Environmental management ; Ethiopia ; Funding ; Hydrologic data ; Hydrologic models ; Hydrology ; Japan ; Kenya ; Land use ; Land use management ; Management ; Mitigation ; Parameter sensitivity ; Parameterization ; Rain ; Rain and rainfall ; Rain gauges ; Rainfall ; Regional studies ; Regions ; River basins ; Runoff ; Rural areas ; Rural development ; Sediment yield ; Sedimentation ; Sedimentation &amp; deposition ; Sediments (Geology) ; Simulation ; Simulation methods ; Soil conservation ; Soil erosion ; Soil management ; South Africa ; Stream discharge ; Stream erosion ; Stream flow ; Streamflow ; Tanzania ; Tunisia ; Water ; Water resources ; Watershed management ; Watersheds ; Weather ; Websites</subject><ispartof>Water (Basel), 2021-05, Vol.13 (9), p.1313</ispartof><rights>COPYRIGHT 2021 MDPI AG</rights><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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-c397t-b29d32d175e5f3475e229c6081436f1f9bdaf467905ff8981652fb9314073a0d3</citedby><cites>FETCH-LOGICAL-c397t-b29d32d175e5f3475e229c6081436f1f9bdaf467905ff8981652fb9314073a0d3</cites><orcidid>0000-0002-0937-7256</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Akoko, George</creatorcontrib><creatorcontrib>Le, Tu Hoang</creatorcontrib><creatorcontrib>Gomi, Takashi</creatorcontrib><creatorcontrib>Kato, Tasuku</creatorcontrib><title>A Review of SWAT Model Application in Africa</title><title>Water (Basel)</title><description>The soil and water assessment tool (SWAT) is a well-known hydrological modeling tool that has been applied in various hydrologic and environmental simulations. A total of 206 studies over a 15-year period (2005–2019) were identified from various peer-reviewed scientific journals listed on the SWAT website database, which is supported by the Centre for Agricultural and Rural Development (CARD). These studies were categorized into five areas, namely applications considering: water resources and streamflow, erosion and sedimentation, land-use management and agricultural-related contexts, climate-change contexts, and model parameterization and dataset inputs. Water resources studies were applied to understand hydrological processes and responses in various river basins. Land-use and agriculture-related context studies mainly analyzed impacts and mitigation measures on the environment and provided insights into better environmental management. Erosion and sedimentation studies using the SWAT model were done to quantify sediment yield and evaluate soil conservation measures. Climate-change context studies mainly demonstrated streamflow sensitivity to weather changes. The model parameterization studies highlighted parameter selection in streamflow analysis, model improvements, and basin scale calibrations. Dataset inputs mainly compared simulations with rain-gauge and global rainfall data sources. The challenges and advantages of the SWAT model’s applications, which range from data availability and prediction uncertainties to the model’s capability in various applications, are highlighted. Discussions on considerations for future simulations such as data sharing, and potential for better future analysis are also highlighted. Increased efforts in local data availability and a multidimensional approach in future simulations are recommended.</description><subject>Agricultural development</subject><subject>Agricultural land</subject><subject>Agriculture</subject><subject>Aquatic resources</subject><subject>Availability</subject><subject>Basins</subject><subject>Bias</subject><subject>Climate change</subject><subject>Climatic changes</subject><subject>Data retrieval</subject><subject>Datasets</subject><subject>Environmental management</subject><subject>Ethiopia</subject><subject>Funding</subject><subject>Hydrologic data</subject><subject>Hydrologic models</subject><subject>Hydrology</subject><subject>Japan</subject><subject>Kenya</subject><subject>Land use</subject><subject>Land use management</subject><subject>Management</subject><subject>Mitigation</subject><subject>Parameter sensitivity</subject><subject>Parameterization</subject><subject>Rain</subject><subject>Rain and rainfall</subject><subject>Rain gauges</subject><subject>Rainfall</subject><subject>Regional studies</subject><subject>Regions</subject><subject>River basins</subject><subject>Runoff</subject><subject>Rural areas</subject><subject>Rural development</subject><subject>Sediment yield</subject><subject>Sedimentation</subject><subject>Sedimentation &amp; deposition</subject><subject>Sediments (Geology)</subject><subject>Simulation</subject><subject>Simulation methods</subject><subject>Soil conservation</subject><subject>Soil erosion</subject><subject>Soil management</subject><subject>South Africa</subject><subject>Stream discharge</subject><subject>Stream erosion</subject><subject>Stream flow</subject><subject>Streamflow</subject><subject>Tanzania</subject><subject>Tunisia</subject><subject>Water</subject><subject>Water resources</subject><subject>Watershed management</subject><subject>Watersheds</subject><subject>Weather</subject><subject>Websites</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNUNtKxDAQDaLgUvfBPwj4JNg1yaSXPJbFG6wIuuJjSNuMZOk2Ne26-PdGVsQZmDMzzPUQcs7ZAkCx6z0HpjhwOCIzwQpIpZT8-J9_SubjuGFRpCrLjM3IVUWf7aeze-qRvrxVa_roW9vRahg615jJ-Z66nlYYYnRGTtB0o53_YkJeb2_Wy_t09XT3sKxWaQOqmNJaqBZEy4vMZggyghCqyVnJJeTIUdWtQZkXimWIpSp5ngmsFXAZ7zSshYRcHOYOwX_s7Djpjd-FPq7UIgMWv5TRJGRxqHo3ndWuRz8F00Rt7dY1vrfoYr4qIiOizHMVGy4PDU3w4xgs6iG4rQlfmjP9Q6D-IxC-AUD4XYY</recordid><startdate>20210501</startdate><enddate>20210501</enddate><creator>Akoko, George</creator><creator>Le, Tu Hoang</creator><creator>Gomi, Takashi</creator><creator>Kato, Tasuku</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-0937-7256</orcidid></search><sort><creationdate>20210501</creationdate><title>A Review of SWAT Model Application in Africa</title><author>Akoko, George ; Le, Tu Hoang ; Gomi, Takashi ; Kato, Tasuku</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-b29d32d175e5f3475e229c6081436f1f9bdaf467905ff8981652fb9314073a0d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agricultural development</topic><topic>Agricultural land</topic><topic>Agriculture</topic><topic>Aquatic resources</topic><topic>Availability</topic><topic>Basins</topic><topic>Bias</topic><topic>Climate change</topic><topic>Climatic changes</topic><topic>Data retrieval</topic><topic>Datasets</topic><topic>Environmental management</topic><topic>Ethiopia</topic><topic>Funding</topic><topic>Hydrologic data</topic><topic>Hydrologic models</topic><topic>Hydrology</topic><topic>Japan</topic><topic>Kenya</topic><topic>Land use</topic><topic>Land use management</topic><topic>Management</topic><topic>Mitigation</topic><topic>Parameter sensitivity</topic><topic>Parameterization</topic><topic>Rain</topic><topic>Rain and rainfall</topic><topic>Rain gauges</topic><topic>Rainfall</topic><topic>Regional studies</topic><topic>Regions</topic><topic>River basins</topic><topic>Runoff</topic><topic>Rural areas</topic><topic>Rural development</topic><topic>Sediment yield</topic><topic>Sedimentation</topic><topic>Sedimentation &amp; deposition</topic><topic>Sediments (Geology)</topic><topic>Simulation</topic><topic>Simulation methods</topic><topic>Soil conservation</topic><topic>Soil erosion</topic><topic>Soil management</topic><topic>South Africa</topic><topic>Stream discharge</topic><topic>Stream erosion</topic><topic>Stream flow</topic><topic>Streamflow</topic><topic>Tanzania</topic><topic>Tunisia</topic><topic>Water</topic><topic>Water resources</topic><topic>Watershed management</topic><topic>Watersheds</topic><topic>Weather</topic><topic>Websites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Akoko, George</creatorcontrib><creatorcontrib>Le, Tu Hoang</creatorcontrib><creatorcontrib>Gomi, Takashi</creatorcontrib><creatorcontrib>Kato, Tasuku</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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><jtitle>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Akoko, George</au><au>Le, Tu Hoang</au><au>Gomi, Takashi</au><au>Kato, Tasuku</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Review of SWAT Model Application in Africa</atitle><jtitle>Water (Basel)</jtitle><date>2021-05-01</date><risdate>2021</risdate><volume>13</volume><issue>9</issue><spage>1313</spage><pages>1313-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>The soil and water assessment tool (SWAT) is a well-known hydrological modeling tool that has been applied in various hydrologic and environmental simulations. A total of 206 studies over a 15-year period (2005–2019) were identified from various peer-reviewed scientific journals listed on the SWAT website database, which is supported by the Centre for Agricultural and Rural Development (CARD). These studies were categorized into five areas, namely applications considering: water resources and streamflow, erosion and sedimentation, land-use management and agricultural-related contexts, climate-change contexts, and model parameterization and dataset inputs. Water resources studies were applied to understand hydrological processes and responses in various river basins. Land-use and agriculture-related context studies mainly analyzed impacts and mitigation measures on the environment and provided insights into better environmental management. Erosion and sedimentation studies using the SWAT model were done to quantify sediment yield and evaluate soil conservation measures. Climate-change context studies mainly demonstrated streamflow sensitivity to weather changes. The model parameterization studies highlighted parameter selection in streamflow analysis, model improvements, and basin scale calibrations. Dataset inputs mainly compared simulations with rain-gauge and global rainfall data sources. The challenges and advantages of the SWAT model’s applications, which range from data availability and prediction uncertainties to the model’s capability in various applications, are highlighted. Discussions on considerations for future simulations such as data sharing, and potential for better future analysis are also highlighted. Increased efforts in local data availability and a multidimensional approach in future simulations are recommended.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w13091313</doi><orcidid>https://orcid.org/0000-0002-0937-7256</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2073-4441
ispartof Water (Basel), 2021-05, Vol.13 (9), p.1313
issn 2073-4441
2073-4441
language eng
recordid cdi_proquest_journals_2530130401
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; MDPI - Multidisciplinary Digital Publishing Institute
subjects Agricultural development
Agricultural land
Agriculture
Aquatic resources
Availability
Basins
Bias
Climate change
Climatic changes
Data retrieval
Datasets
Environmental management
Ethiopia
Funding
Hydrologic data
Hydrologic models
Hydrology
Japan
Kenya
Land use
Land use management
Management
Mitigation
Parameter sensitivity
Parameterization
Rain
Rain and rainfall
Rain gauges
Rainfall
Regional studies
Regions
River basins
Runoff
Rural areas
Rural development
Sediment yield
Sedimentation
Sedimentation & deposition
Sediments (Geology)
Simulation
Simulation methods
Soil conservation
Soil erosion
Soil management
South Africa
Stream discharge
Stream erosion
Stream flow
Streamflow
Tanzania
Tunisia
Water
Water resources
Watershed management
Watersheds
Weather
Websites
title A Review of SWAT Model Application in Africa
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T17%3A01%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Review%20of%20SWAT%20Model%20Application%20in%20Africa&rft.jtitle=Water%20(Basel)&rft.au=Akoko,%20George&rft.date=2021-05-01&rft.volume=13&rft.issue=9&rft.spage=1313&rft.pages=1313-&rft.issn=2073-4441&rft.eissn=2073-4441&rft_id=info:doi/10.3390/w13091313&rft_dat=%3Cgale_proqu%3EA791328669%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2530130401&rft_id=info:pmid/&rft_galeid=A791328669&rfr_iscdi=true