Stochastic multi-objective modeling for optimization of water-food-energy nexus of irrigated agriculture
•An optimization model of water-food-energy nexus of irrigated agriculture is developed.•Conflicts between economic benefits and environmental impacts are addressed.•Interactions among water, food and energy subsystems in an irrigated agricultural system are quantified.•Dual uncertainty of water ava...
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| Veröffentlicht in: | Advances in water resources 2019-05, Vol.127, p.209-224 |
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| creator | Li, Mo Fu, Qiang Singh, Vijay P. Liu, Dong Li, Tianxiao |
| description | •An optimization model of water-food-energy nexus of irrigated agriculture is developed.•Conflicts between economic benefits and environmental impacts are addressed.•Interactions among water, food and energy subsystems in an irrigated agricultural system are quantified.•Dual uncertainty of water availability is addressed.•The model is demonstrated to solve a real-world nexus management problem.
Irrigated agriculture is the primary user of world's fresh water resources on one hand and the producer of food to feed the world's growing population on the other hand. Water, food, and energy are intertwined in irrigated agricultural systems and an effective and coordinated management of the water-food-energy nexus is needed for the sustainable development of agriculture which is challenging because of large uncertainties involved therein. This paper developed an optimization model for the allocation of resources toward the sustainable management of agricultural water, food, and energy nexus under uncertainty. The model is capable of providing policy makers with the ability to determine optimal policy options among water, energy, and land resources to obtain the maximum system economic benefit and simultaneously minimize environmental impacts. The model is also capable of handling complex uncertainties of random boundary intervals. The model is demonstrated to solve a real-world nexus management problem in an irrigation district in northeast China. Results highlight the sensitivity of food production and environmental pollution to the utilization of water, energy, and land resources. The model is applicable for similar agriculture-centered regions with limited resources. |
| doi_str_mv | 10.1016/j.advwatres.2019.03.015 |
| format | Article |
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Irrigated agriculture is the primary user of world's fresh water resources on one hand and the producer of food to feed the world's growing population on the other hand. Water, food, and energy are intertwined in irrigated agricultural systems and an effective and coordinated management of the water-food-energy nexus is needed for the sustainable development of agriculture which is challenging because of large uncertainties involved therein. This paper developed an optimization model for the allocation of resources toward the sustainable management of agricultural water, food, and energy nexus under uncertainty. The model is capable of providing policy makers with the ability to determine optimal policy options among water, energy, and land resources to obtain the maximum system economic benefit and simultaneously minimize environmental impacts. The model is also capable of handling complex uncertainties of random boundary intervals. The model is demonstrated to solve a real-world nexus management problem in an irrigation district in northeast China. Results highlight the sensitivity of food production and environmental pollution to the utilization of water, energy, and land resources. The model is applicable for similar agriculture-centered regions with limited resources.</description><identifier>ISSN: 0309-1708</identifier><identifier>EISSN: 1872-9657</identifier><identifier>DOI: 10.1016/j.advwatres.2019.03.015</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Agricultural development ; Agricultural management ; Agriculture ; Economic benefits ; Economic models ; Energy ; Energy management ; Environmental impact ; Environmental pollution ; Farming systems ; Food ; Food production ; Foods ; Fresh water ; Freshwater ; Freshwater environments ; Freshwater resources ; Handling ; Inland water environment ; Irrigated agriculture ; Irrigation ; Irrigation systems ; Land resources ; Multi-objective ; Multiple objective analysis ; Optimization ; Policies ; Random-boundary interval ; Resource allocation ; Resource management ; Sustainability ; Sustainability management ; Sustainable development ; System effectiveness ; Uncertainty ; Water pollution ; Water resources ; Water-food-energy nexus</subject><ispartof>Advances in water resources, 2019-05, Vol.127, p.209-224</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. May 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-36ac10e47d45f694843ec1f354654ef3e920405f5a49e91aea69411980e0d1a23</citedby><cites>FETCH-LOGICAL-c409t-36ac10e47d45f694843ec1f354654ef3e920405f5a49e91aea69411980e0d1a23</cites><orcidid>0000-0003-1776-8406 ; 0000-0002-6028-5605 ; 0000-0003-1299-1457</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.advwatres.2019.03.015$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids></links><search><creatorcontrib>Li, Mo</creatorcontrib><creatorcontrib>Fu, Qiang</creatorcontrib><creatorcontrib>Singh, Vijay P.</creatorcontrib><creatorcontrib>Liu, Dong</creatorcontrib><creatorcontrib>Li, Tianxiao</creatorcontrib><title>Stochastic multi-objective modeling for optimization of water-food-energy nexus of irrigated agriculture</title><title>Advances in water resources</title><description>•An optimization model of water-food-energy nexus of irrigated agriculture is developed.•Conflicts between economic benefits and environmental impacts are addressed.•Interactions among water, food and energy subsystems in an irrigated agricultural system are quantified.•Dual uncertainty of water availability is addressed.•The model is demonstrated to solve a real-world nexus management problem.
Irrigated agriculture is the primary user of world's fresh water resources on one hand and the producer of food to feed the world's growing population on the other hand. Water, food, and energy are intertwined in irrigated agricultural systems and an effective and coordinated management of the water-food-energy nexus is needed for the sustainable development of agriculture which is challenging because of large uncertainties involved therein. This paper developed an optimization model for the allocation of resources toward the sustainable management of agricultural water, food, and energy nexus under uncertainty. The model is capable of providing policy makers with the ability to determine optimal policy options among water, energy, and land resources to obtain the maximum system economic benefit and simultaneously minimize environmental impacts. The model is also capable of handling complex uncertainties of random boundary intervals. The model is demonstrated to solve a real-world nexus management problem in an irrigation district in northeast China. Results highlight the sensitivity of food production and environmental pollution to the utilization of water, energy, and land resources. The model is applicable for similar agriculture-centered regions with limited resources.</description><subject>Agricultural development</subject><subject>Agricultural management</subject><subject>Agriculture</subject><subject>Economic benefits</subject><subject>Economic models</subject><subject>Energy</subject><subject>Energy management</subject><subject>Environmental impact</subject><subject>Environmental pollution</subject><subject>Farming systems</subject><subject>Food</subject><subject>Food production</subject><subject>Foods</subject><subject>Fresh water</subject><subject>Freshwater</subject><subject>Freshwater environments</subject><subject>Freshwater resources</subject><subject>Handling</subject><subject>Inland water environment</subject><subject>Irrigated agriculture</subject><subject>Irrigation</subject><subject>Irrigation systems</subject><subject>Land resources</subject><subject>Multi-objective</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Policies</subject><subject>Random-boundary interval</subject><subject>Resource allocation</subject><subject>Resource management</subject><subject>Sustainability</subject><subject>Sustainability management</subject><subject>Sustainable development</subject><subject>System effectiveness</subject><subject>Uncertainty</subject><subject>Water pollution</subject><subject>Water resources</subject><subject>Water-food-energy nexus</subject><issn>0309-1708</issn><issn>1872-9657</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqFkMtKAzEUhoMoWKvP4IDrGU8mmUuWpXiDggt1HWLmpM3QTmqSqdanN6Xi1tVZ_DfOR8g1hYICrW_7QnW7TxU9hqIEKgpgBdDqhExo25S5qKvmlEyAgchpA-05uQihB4CWN-WErF6i0ysVotXZZlxHm7v3HnW0O8w2rsO1HZaZcT5z22g39ltF64bMmSwtos-Nc12OA_rlPhvwawwHyXpvl0nuMrX0VqfW0eMlOTNqHfDq907J2_3d6_wxXzw_PM1ni1xzEDFntdIUkDcdr0wteMsZampYxeuKo2EoSuBQmUpxgYIqVMlEqWgBoaOqZFNyc-zdevcxYoiyd6Mf0qQsy1LUrBWiSq7m6NLeheDRyK23G-X3koI8YJW9_MMqD1glMJmwpuTsmMT0xM6il0FbHDR21idusnP2344fbCKHMg</recordid><startdate>201905</startdate><enddate>201905</enddate><creator>Li, Mo</creator><creator>Fu, Qiang</creator><creator>Singh, Vijay P.</creator><creator>Liu, Dong</creator><creator>Li, Tianxiao</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QH</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SE</scope><scope>7SR</scope><scope>7ST</scope><scope>7T7</scope><scope>7TA</scope><scope>7TG</scope><scope>7UA</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>F28</scope><scope>FR3</scope><scope>H8G</scope><scope>H97</scope><scope>JG9</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>P64</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-1776-8406</orcidid><orcidid>https://orcid.org/0000-0002-6028-5605</orcidid><orcidid>https://orcid.org/0000-0003-1299-1457</orcidid></search><sort><creationdate>201905</creationdate><title>Stochastic multi-objective modeling for optimization of water-food-energy nexus of irrigated agriculture</title><author>Li, Mo ; Fu, Qiang ; Singh, Vijay P. ; Liu, Dong ; Li, Tianxiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c409t-36ac10e47d45f694843ec1f354654ef3e920405f5a49e91aea69411980e0d1a23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Agricultural development</topic><topic>Agricultural management</topic><topic>Agriculture</topic><topic>Economic benefits</topic><topic>Economic models</topic><topic>Energy</topic><topic>Energy management</topic><topic>Environmental impact</topic><topic>Environmental pollution</topic><topic>Farming systems</topic><topic>Food</topic><topic>Food production</topic><topic>Foods</topic><topic>Fresh water</topic><topic>Freshwater</topic><topic>Freshwater environments</topic><topic>Freshwater resources</topic><topic>Handling</topic><topic>Inland water environment</topic><topic>Irrigated agriculture</topic><topic>Irrigation</topic><topic>Irrigation systems</topic><topic>Land resources</topic><topic>Multi-objective</topic><topic>Multiple objective analysis</topic><topic>Optimization</topic><topic>Policies</topic><topic>Random-boundary interval</topic><topic>Resource allocation</topic><topic>Resource management</topic><topic>Sustainability</topic><topic>Sustainability management</topic><topic>Sustainable development</topic><topic>System effectiveness</topic><topic>Uncertainty</topic><topic>Water pollution</topic><topic>Water resources</topic><topic>Water-food-energy nexus</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Mo</creatorcontrib><creatorcontrib>Fu, Qiang</creatorcontrib><creatorcontrib>Singh, Vijay P.</creatorcontrib><creatorcontrib>Liu, Dong</creatorcontrib><creatorcontrib>Li, Tianxiao</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Aqualine</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Copper Technical Reference Library</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Materials Research Database</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Advances in water resources</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Mo</au><au>Fu, Qiang</au><au>Singh, Vijay P.</au><au>Liu, Dong</au><au>Li, Tianxiao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stochastic multi-objective modeling for optimization of water-food-energy nexus of irrigated agriculture</atitle><jtitle>Advances in water resources</jtitle><date>2019-05</date><risdate>2019</risdate><volume>127</volume><spage>209</spage><epage>224</epage><pages>209-224</pages><issn>0309-1708</issn><eissn>1872-9657</eissn><abstract>•An optimization model of water-food-energy nexus of irrigated agriculture is developed.•Conflicts between economic benefits and environmental impacts are addressed.•Interactions among water, food and energy subsystems in an irrigated agricultural system are quantified.•Dual uncertainty of water availability is addressed.•The model is demonstrated to solve a real-world nexus management problem.
Irrigated agriculture is the primary user of world's fresh water resources on one hand and the producer of food to feed the world's growing population on the other hand. Water, food, and energy are intertwined in irrigated agricultural systems and an effective and coordinated management of the water-food-energy nexus is needed for the sustainable development of agriculture which is challenging because of large uncertainties involved therein. This paper developed an optimization model for the allocation of resources toward the sustainable management of agricultural water, food, and energy nexus under uncertainty. The model is capable of providing policy makers with the ability to determine optimal policy options among water, energy, and land resources to obtain the maximum system economic benefit and simultaneously minimize environmental impacts. The model is also capable of handling complex uncertainties of random boundary intervals. The model is demonstrated to solve a real-world nexus management problem in an irrigation district in northeast China. Results highlight the sensitivity of food production and environmental pollution to the utilization of water, energy, and land resources. The model is applicable for similar agriculture-centered regions with limited resources.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.advwatres.2019.03.015</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-1776-8406</orcidid><orcidid>https://orcid.org/0000-0002-6028-5605</orcidid><orcidid>https://orcid.org/0000-0003-1299-1457</orcidid></addata></record> |
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| ispartof | Advances in water resources, 2019-05, Vol.127, p.209-224 |
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| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Agricultural development Agricultural management Agriculture Economic benefits Economic models Energy Energy management Environmental impact Environmental pollution Farming systems Food Food production Foods Fresh water Freshwater Freshwater environments Freshwater resources Handling Inland water environment Irrigated agriculture Irrigation Irrigation systems Land resources Multi-objective Multiple objective analysis Optimization Policies Random-boundary interval Resource allocation Resource management Sustainability Sustainability management Sustainable development System effectiveness Uncertainty Water pollution Water resources Water-food-energy nexus |
| title | Stochastic multi-objective modeling for optimization of water-food-energy nexus of irrigated agriculture |
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