Simulation of Irrigation Demand and Control in Catchments – A Review of Methods and Case Studies
The world's water resources are continuously facing challenges in fulfilling the needs of increasing agricultural water demand with finite or diminishing resources. Therefore, it is important to quantify the amount of irrigation water required to attain sustainable yield at a local, regional, a...
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description | The world's water resources are continuously facing challenges in fulfilling the needs of increasing agricultural water demand with finite or diminishing resources. Therefore, it is important to quantify the amount of irrigation water required to attain sustainable yield at a local, regional, and global level, especially in arid and semi‐arid regions. This is mostly quantified by using agro‐hydrological or agricultural models. The advances in simulation models and several options incorporated in them allow catchment/site‐specific application of irrigation water to depict the field management practices undertaken by farmers. The objective of the present study is to provide a review of the simulation of irrigation water demand at catchment scale by agro‐hydrological and agricultural models. This study discusses the different types of models, their dimensions, and the hydrological and agricultural process models incorporated into them. Additionally, this review provides an overview of how irrigation can be scheduled, how water is applied, and from which sources irrigation water can be extracted by the considered models, taking horizontal hydrological connectivity into consideration. Adding to the model review, seven different fields of innovative case studies are covered. Many agricultural models have been applied in a regional context without simulating horizontal hydrological fluxes, but only a few hydrological catchment models provide full support of both irrigation and plant growth simulation, which are important for the simulation of future crop yield under different climatic and agricultural management scenarios.
Key Points
The catchment scale is of high relevance for simulating irrigation in the context of water resources planning and management
Only few catchment models provide a full integration of hydrology and plant growth
There is a growing number of catchment scale irrigation studies, many of which are related to climate change impact and adaptation |
doi_str_mv | 10.1029/2020WR029263 |
format | Article |
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Key Points
The catchment scale is of high relevance for simulating irrigation in the context of water resources planning and management
Only few catchment models provide a full integration of hydrology and plant growth
There is a growing number of catchment scale irrigation studies, many of which are related to climate change impact and adaptation</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1029/2020WR029263</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Agricultural management ; agricultural water demand ; agro‐hydrological models ; Arid regions ; Arid zones ; Case studies ; Catchment area ; Catchment models ; Catchment scale ; Catchments ; Crop yield ; Demand ; Dimensions ; Fluxes ; Hydrologic models ; Hydrologic processes ; Hydrology ; Irrigation ; irrigation optimization ; Irrigation scheduling ; Irrigation water ; Plant growth ; Reviews ; Simulation ; Sustainable yield ; Water demand ; Water resources</subject><ispartof>Water Resources Research, 2021-07, Vol.57 (7), p.n/a</ispartof><rights>2021. The Authors.</rights><rights>2021. 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-a3681-9986585f8273cf856a37a7bf4d2ebd6e554d1e878ccf9eab541cef3d3821a9cd3</citedby><cites>FETCH-LOGICAL-a3681-9986585f8273cf856a37a7bf4d2ebd6e554d1e878ccf9eab541cef3d3821a9cd3</cites><orcidid>0000-0002-1742-8025 ; 0000-0002-3841-8184</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%2F2020WR029263$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2020WR029263$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>313,314,780,784,792,1417,11514,27922,27924,27925,45574,45575,46468,46892</link.rule.ids></links><search><creatorcontrib>Uniyal, Bhumika</creatorcontrib><creatorcontrib>Dietrich, Jörg</creatorcontrib><title>Simulation of Irrigation Demand and Control in Catchments – A Review of Methods and Case Studies</title><title>Water Resources Research</title><description>The world's water resources are continuously facing challenges in fulfilling the needs of increasing agricultural water demand with finite or diminishing resources. Therefore, it is important to quantify the amount of irrigation water required to attain sustainable yield at a local, regional, and global level, especially in arid and semi‐arid regions. This is mostly quantified by using agro‐hydrological or agricultural models. The advances in simulation models and several options incorporated in them allow catchment/site‐specific application of irrigation water to depict the field management practices undertaken by farmers. The objective of the present study is to provide a review of the simulation of irrigation water demand at catchment scale by agro‐hydrological and agricultural models. This study discusses the different types of models, their dimensions, and the hydrological and agricultural process models incorporated into them. Additionally, this review provides an overview of how irrigation can be scheduled, how water is applied, and from which sources irrigation water can be extracted by the considered models, taking horizontal hydrological connectivity into consideration. Adding to the model review, seven different fields of innovative case studies are covered. Many agricultural models have been applied in a regional context without simulating horizontal hydrological fluxes, but only a few hydrological catchment models provide full support of both irrigation and plant growth simulation, which are important for the simulation of future crop yield under different climatic and agricultural management scenarios.
Key Points
The catchment scale is of high relevance for simulating irrigation in the context of water resources planning and management
Only few catchment models provide a full integration of hydrology and plant growth
There is a growing number of catchment scale irrigation studies, many of which are related to climate change impact and adaptation</description><subject>Agricultural management</subject><subject>agricultural water demand</subject><subject>agro‐hydrological models</subject><subject>Arid regions</subject><subject>Arid zones</subject><subject>Case studies</subject><subject>Catchment area</subject><subject>Catchment models</subject><subject>Catchment scale</subject><subject>Catchments</subject><subject>Crop yield</subject><subject>Demand</subject><subject>Dimensions</subject><subject>Fluxes</subject><subject>Hydrologic models</subject><subject>Hydrologic processes</subject><subject>Hydrology</subject><subject>Irrigation</subject><subject>irrigation optimization</subject><subject>Irrigation scheduling</subject><subject>Irrigation water</subject><subject>Plant growth</subject><subject>Reviews</subject><subject>Simulation</subject><subject>Sustainable yield</subject><subject>Water demand</subject><subject>Water resources</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp9kM1KxDAUhYMoOI7ufICAW6v5aZpkOdS_gRGho8yypE3qZGgbTVqH2fkOvqFPYoe6cOXicu-F75wDB4BzjK4wIvKaIIJW2XCRhB6ACZZxHHHJ6SGYIBTTCFPJj8FJCBuEcMwSPgHF0jZ9rTrrWugqOPfevo7fjWlUq-F-Utd23tXQtjBVXbluTNsF-P35BWcwMx_WbPfaR9OtnQ6jQgUDl12vrQmn4KhSdTBnv3sKXu5un9OHaPF0P09ni0jRROBISpEwwSpBOC0rwRJFueJFFWtiCp0YxmKNjeCiLCtpVMFiXJqKaioIVrLUdAouRt837957E7p843rfDpE5YYxROYB8oC5HqvQuBG-q_M3bRvldjlG-bzH_2-KA0xHf2trs_mXzVZZmhFGK6Q_HjXPz</recordid><startdate>202107</startdate><enddate>202107</enddate><creator>Uniyal, Bhumika</creator><creator>Dietrich, Jörg</creator><general>John Wiley & Sons, Inc</general><scope>24P</scope><scope>WIN</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><orcidid>https://orcid.org/0000-0002-1742-8025</orcidid><orcidid>https://orcid.org/0000-0002-3841-8184</orcidid></search><sort><creationdate>202107</creationdate><title>Simulation of Irrigation Demand and Control in Catchments – A Review of Methods and Case Studies</title><author>Uniyal, Bhumika ; Dietrich, Jörg</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3681-9986585f8273cf856a37a7bf4d2ebd6e554d1e878ccf9eab541cef3d3821a9cd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agricultural management</topic><topic>agricultural water demand</topic><topic>agro‐hydrological models</topic><topic>Arid regions</topic><topic>Arid zones</topic><topic>Case studies</topic><topic>Catchment area</topic><topic>Catchment models</topic><topic>Catchment scale</topic><topic>Catchments</topic><topic>Crop yield</topic><topic>Demand</topic><topic>Dimensions</topic><topic>Fluxes</topic><topic>Hydrologic models</topic><topic>Hydrologic processes</topic><topic>Hydrology</topic><topic>Irrigation</topic><topic>irrigation optimization</topic><topic>Irrigation scheduling</topic><topic>Irrigation water</topic><topic>Plant growth</topic><topic>Reviews</topic><topic>Simulation</topic><topic>Sustainable yield</topic><topic>Water demand</topic><topic>Water resources</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Uniyal, Bhumika</creatorcontrib><creatorcontrib>Dietrich, Jörg</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Online Library (Open Access Collection)</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><jtitle>Water Resources Research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Uniyal, Bhumika</au><au>Dietrich, Jörg</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simulation of Irrigation Demand and Control in Catchments – A Review of Methods and Case Studies</atitle><jtitle>Water Resources Research</jtitle><date>2021-07</date><risdate>2021</risdate><volume>57</volume><issue>7</issue><epage>n/a</epage><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>The world's water resources are continuously facing challenges in fulfilling the needs of increasing agricultural water demand with finite or diminishing resources. Therefore, it is important to quantify the amount of irrigation water required to attain sustainable yield at a local, regional, and global level, especially in arid and semi‐arid regions. This is mostly quantified by using agro‐hydrological or agricultural models. The advances in simulation models and several options incorporated in them allow catchment/site‐specific application of irrigation water to depict the field management practices undertaken by farmers. The objective of the present study is to provide a review of the simulation of irrigation water demand at catchment scale by agro‐hydrological and agricultural models. This study discusses the different types of models, their dimensions, and the hydrological and agricultural process models incorporated into them. Additionally, this review provides an overview of how irrigation can be scheduled, how water is applied, and from which sources irrigation water can be extracted by the considered models, taking horizontal hydrological connectivity into consideration. Adding to the model review, seven different fields of innovative case studies are covered. Many agricultural models have been applied in a regional context without simulating horizontal hydrological fluxes, but only a few hydrological catchment models provide full support of both irrigation and plant growth simulation, which are important for the simulation of future crop yield under different climatic and agricultural management scenarios.
Key Points
The catchment scale is of high relevance for simulating irrigation in the context of water resources planning and management
Only few catchment models provide a full integration of hydrology and plant growth
There is a growing number of catchment scale irrigation studies, many of which are related to climate change impact and adaptation</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2020WR029263</doi><tpages>27</tpages><orcidid>https://orcid.org/0000-0002-1742-8025</orcidid><orcidid>https://orcid.org/0000-0002-3841-8184</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural management agricultural water demand agro‐hydrological models Arid regions Arid zones Case studies Catchment area Catchment models Catchment scale Catchments Crop yield Demand Dimensions Fluxes Hydrologic models Hydrologic processes Hydrology Irrigation irrigation optimization Irrigation scheduling Irrigation water Plant growth Reviews Simulation Sustainable yield Water demand Water resources |
title | Simulation of Irrigation Demand and Control in Catchments – A Review of Methods and Case Studies |
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