基于AquaCrop模型的水稻多目标灌溉制度优化研究
【目的】优化现有水稻灌溉制度，节约灌溉用水量，减少稻田氮磷流失量以降低面源污染风险。【方法】构建了基于AquaCrop模型和NSGA-Ⅱ算法的水稻灌溉制度模拟优化模型，利用水稻田间试验数据，开展以产量最大、氮磷流失量最小、灌水次数最少的3种目标组合（产量-氮磷流失量（Y-TNP）、产量-灌水次数（Y-N）、产量-氮磷流失量-灌水次数（Y-TNP-N））下的灌溉制度优化模型研究，提出适应不同生育期降水年型的稳产-控污-提效灌溉制度。【结果】①与常规灌溉相比，Y-TNP灌溉制度优化水稻产量下降2.14%，氮磷流失量减少23.09%；Y-N灌溉制度优化水稻产量下降1.76%，灌水次数减少53%；Y-...
Gespeichert in:
| Veröffentlicht in: | Guanʻgai paishui xuebao 2024-01, Vol.43 (1), p.9-16 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | chi ; eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 16 |
|---|---|
| container_issue | 1 |
| container_start_page | 9 |
| container_title | Guanʻgai paishui xuebao |
| container_volume | 43 |
| creator | MA, Chao WU Tian’ao ZHANG, Weizhong Jiang, LI JIAO Xiyun |
| description | 【目的】优化现有水稻灌溉制度，节约灌溉用水量，减少稻田氮磷流失量以降低面源污染风险。【方法】构建了基于AquaCrop模型和NSGA-Ⅱ算法的水稻灌溉制度模拟优化模型，利用水稻田间试验数据，开展以产量最大、氮磷流失量最小、灌水次数最少的3种目标组合（产量-氮磷流失量（Y-TNP）、产量-灌水次数（Y-N）、产量-氮磷流失量-灌水次数（Y-TNP-N））下的灌溉制度优化模型研究，提出适应不同生育期降水年型的稳产-控污-提效灌溉制度。【结果】①与常规灌溉相比，Y-TNP灌溉制度优化水稻产量下降2.14%，氮磷流失量减少23.09%；Y-N灌溉制度优化水稻产量下降1.76%，灌水次数减少53%；Y-TNP-N灌溉制度优化水稻产量下降2.64%，氮磷流失量减少22.83%，灌水次数减少2次。②不同典型年以Y-TNP-N为目标优化的稳产-控污-提效灌溉制度水稻产量介于7.74~7.78 t/hm2，同时大幅度减少灌水量进而降低氮磷流失量。【结论】AquaCrop模型可模拟试验区水稻的生长发育过程，本文构建的模拟-优化耦合模型可用于优化不同生育期降水年型下稳产-控污-提效的灌溉制度。 |
| doi_str_mv | 10.13522/j.cnki.ggps.2023279 |
| format | Article |
| fullrecord | <record><control><sourceid>wanfang_jour_proqu</sourceid><recordid>TN_cdi_wanfang_journals_ggps202401003</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><wanfj_id>ggps202401003</wanfj_id><sourcerecordid>ggps202401003</sourcerecordid><originalsourceid>FETCH-LOGICAL-p1283-cb2f134171bb5ebe92e45d5403ad8eecd57bfa626c763f1f84d163b2962576e83</originalsourceid><addsrcrecordid>eNpFjz1Lw0Ach29QsNR-AzdxTLz7_3N3ySKU4hsUXHQuebkLRknTxuIsCCoWJxGpoBVE6iIO0iH6cZrkaxip4PRbHn4PDyErjJoMOcB6ZPrx0aEZhklqAgUE6SyQGhMSDEQml0gjTSNKKXAquYM1spE_ZbPsptkbuK1-Nykmz_njdTk6Lz4-y8lX_jIqH96L8UV5Niyyq_xymmevs-_7fHhXjm_Lt-kyWdTucaoaf1snB1ub-60do723vdtqto2EgY2G74FmaDHJPI8rTzmgLB5wi6Ib2Er5AZeedgUIXwrUTNtWwAR64AjgUigb62Rt_nvqxtqNw07UHfTjytj5Ta1KLcooxYpbnXNJv9sbqPTkH0Tq2MAkOIA_ps9qxw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3098217292</pqid></control><display><type>article</type><title>基于AquaCrop模型的水稻多目标灌溉制度优化研究</title><source>DOAJ Directory of Open Access Journals</source><creator>MA, Chao ; WU Tian’ao ; ZHANG, Weizhong ; Jiang, LI ; JIAO Xiyun</creator><creatorcontrib>MA, Chao ; WU Tian’ao ; ZHANG, Weizhong ; Jiang, LI ; JIAO Xiyun</creatorcontrib><description>【目的】优化现有水稻灌溉制度，节约灌溉用水量，减少稻田氮磷流失量以降低面源污染风险。【方法】构建了基于AquaCrop模型和NSGA-Ⅱ算法的水稻灌溉制度模拟优化模型，利用水稻田间试验数据，开展以产量最大、氮磷流失量最小、灌水次数最少的3种目标组合（产量-氮磷流失量（Y-TNP）、产量-灌水次数（Y-N）、产量-氮磷流失量-灌水次数（Y-TNP-N））下的灌溉制度优化模型研究，提出适应不同生育期降水年型的稳产-控污-提效灌溉制度。【结果】①与常规灌溉相比，Y-TNP灌溉制度优化水稻产量下降2.14%，氮磷流失量减少23.09%；Y-N灌溉制度优化水稻产量下降1.76%，灌水次数减少53%；Y-TNP-N灌溉制度优化水稻产量下降2.64%，氮磷流失量减少22.83%，灌水次数减少2次。②不同典型年以Y-TNP-N为目标优化的稳产-控污-提效灌溉制度水稻产量介于7.74~7.78 t/hm2，同时大幅度减少灌水量进而降低氮磷流失量。【结论】AquaCrop模型可模拟试验区水稻的生长发育过程，本文构建的模拟-优化耦合模型可用于优化不同生育期降水年型下稳产-控污-提效的灌溉制度。</description><identifier>ISSN: 1672-3317</identifier><identifier>DOI: 10.13522/j.cnki.ggps.2023279</identifier><language>chi ; eng</language><publisher>Xinxiang City: Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage</publisher><subject>Algorithms ; Crop yield ; Efficiency ; Irrigation ; Irrigation efficiency ; Irrigation scheduling ; Irrigation systems ; Irrigation water ; Multiple objective analysis ; Nitrogen ; Nonpoint source pollution ; Optimization ; Optimization models ; Phosphorus ; Pollution ; Pollution control ; Pollution sources ; Rice ; Rice fields ; Risk reduction ; Schedules ; Yield</subject><ispartof>Guanʻgai paishui xuebao, 2024-01, Vol.43 (1), p.9-16</ispartof><rights>2024. This work is published under https://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><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/ggps/ggps.jpg</thumbnail><link.rule.ids>314,776,780,860,4010,27900,27901,27902</link.rule.ids></links><search><creatorcontrib>MA, Chao</creatorcontrib><creatorcontrib>WU Tian’ao</creatorcontrib><creatorcontrib>ZHANG, Weizhong</creatorcontrib><creatorcontrib>Jiang, LI</creatorcontrib><creatorcontrib>JIAO Xiyun</creatorcontrib><title>基于AquaCrop模型的水稻多目标灌溉制度优化研究</title><title>Guanʻgai paishui xuebao</title><description>【目的】优化现有水稻灌溉制度，节约灌溉用水量，减少稻田氮磷流失量以降低面源污染风险。【方法】构建了基于AquaCrop模型和NSGA-Ⅱ算法的水稻灌溉制度模拟优化模型，利用水稻田间试验数据，开展以产量最大、氮磷流失量最小、灌水次数最少的3种目标组合（产量-氮磷流失量（Y-TNP）、产量-灌水次数（Y-N）、产量-氮磷流失量-灌水次数（Y-TNP-N））下的灌溉制度优化模型研究，提出适应不同生育期降水年型的稳产-控污-提效灌溉制度。【结果】①与常规灌溉相比，Y-TNP灌溉制度优化水稻产量下降2.14%，氮磷流失量减少23.09%；Y-N灌溉制度优化水稻产量下降1.76%，灌水次数减少53%；Y-TNP-N灌溉制度优化水稻产量下降2.64%，氮磷流失量减少22.83%，灌水次数减少2次。②不同典型年以Y-TNP-N为目标优化的稳产-控污-提效灌溉制度水稻产量介于7.74~7.78 t/hm2，同时大幅度减少灌水量进而降低氮磷流失量。【结论】AquaCrop模型可模拟试验区水稻的生长发育过程，本文构建的模拟-优化耦合模型可用于优化不同生育期降水年型下稳产-控污-提效的灌溉制度。</description><subject>Algorithms</subject><subject>Crop yield</subject><subject>Efficiency</subject><subject>Irrigation</subject><subject>Irrigation efficiency</subject><subject>Irrigation scheduling</subject><subject>Irrigation systems</subject><subject>Irrigation water</subject><subject>Multiple objective analysis</subject><subject>Nitrogen</subject><subject>Nonpoint source pollution</subject><subject>Optimization</subject><subject>Optimization models</subject><subject>Phosphorus</subject><subject>Pollution</subject><subject>Pollution control</subject><subject>Pollution sources</subject><subject>Rice</subject><subject>Rice fields</subject><subject>Risk reduction</subject><subject>Schedules</subject><subject>Yield</subject><issn>1672-3317</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpFjz1Lw0Ach29QsNR-AzdxTLz7_3N3ySKU4hsUXHQuebkLRknTxuIsCCoWJxGpoBVE6iIO0iH6cZrkaxip4PRbHn4PDyErjJoMOcB6ZPrx0aEZhklqAgUE6SyQGhMSDEQml0gjTSNKKXAquYM1spE_ZbPsptkbuK1-Nykmz_njdTk6Lz4-y8lX_jIqH96L8UV5Niyyq_xymmevs-_7fHhXjm_Lt-kyWdTucaoaf1snB1ub-60do723vdtqto2EgY2G74FmaDHJPI8rTzmgLB5wi6Ib2Er5AZeedgUIXwrUTNtWwAR64AjgUigb62Rt_nvqxtqNw07UHfTjytj5Ta1KLcooxYpbnXNJv9sbqPTkH0Tq2MAkOIA_ps9qxw</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>MA, Chao</creator><creator>WU Tian’ao</creator><creator>ZHANG, Weizhong</creator><creator>Jiang, LI</creator><creator>JIAO Xiyun</creator><general>Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage</general><general>河海大学水文水资源与水利工程科学国家重点实验室,南京 210098</general><general>河海大学农业科学与工程学院,南京 211100%河海大学农业科学与工程学院,南京 211100</general><general>水科学与水安全协同创新中心,南京 210098%常熟市水利工程质量监督站,江苏苏州 215500</general><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20240101</creationdate><title>基于AquaCrop模型的水稻多目标灌溉制度优化研究</title><author>MA, Chao ; WU Tian’ao ; ZHANG, Weizhong ; Jiang, LI ; JIAO Xiyun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p1283-cb2f134171bb5ebe92e45d5403ad8eecd57bfa626c763f1f84d163b2962576e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Crop yield</topic><topic>Efficiency</topic><topic>Irrigation</topic><topic>Irrigation efficiency</topic><topic>Irrigation scheduling</topic><topic>Irrigation systems</topic><topic>Irrigation water</topic><topic>Multiple objective analysis</topic><topic>Nitrogen</topic><topic>Nonpoint source pollution</topic><topic>Optimization</topic><topic>Optimization models</topic><topic>Phosphorus</topic><topic>Pollution</topic><topic>Pollution control</topic><topic>Pollution sources</topic><topic>Rice</topic><topic>Rice fields</topic><topic>Risk reduction</topic><topic>Schedules</topic><topic>Yield</topic><toplevel>online_resources</toplevel><creatorcontrib>MA, Chao</creatorcontrib><creatorcontrib>WU Tian’ao</creatorcontrib><creatorcontrib>ZHANG, Weizhong</creatorcontrib><creatorcontrib>Jiang, LI</creatorcontrib><creatorcontrib>JIAO Xiyun</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Agricultural Science 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>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Guanʻgai paishui xuebao</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>MA, Chao</au><au>WU Tian’ao</au><au>ZHANG, Weizhong</au><au>Jiang, LI</au><au>JIAO Xiyun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>基于AquaCrop模型的水稻多目标灌溉制度优化研究</atitle><jtitle>Guanʻgai paishui xuebao</jtitle><date>2024-01-01</date><risdate>2024</risdate><volume>43</volume><issue>1</issue><spage>9</spage><epage>16</epage><pages>9-16</pages><issn>1672-3317</issn><abstract>【目的】优化现有水稻灌溉制度，节约灌溉用水量，减少稻田氮磷流失量以降低面源污染风险。【方法】构建了基于AquaCrop模型和NSGA-Ⅱ算法的水稻灌溉制度模拟优化模型，利用水稻田间试验数据，开展以产量最大、氮磷流失量最小、灌水次数最少的3种目标组合（产量-氮磷流失量（Y-TNP）、产量-灌水次数（Y-N）、产量-氮磷流失量-灌水次数（Y-TNP-N））下的灌溉制度优化模型研究，提出适应不同生育期降水年型的稳产-控污-提效灌溉制度。【结果】①与常规灌溉相比，Y-TNP灌溉制度优化水稻产量下降2.14%，氮磷流失量减少23.09%；Y-N灌溉制度优化水稻产量下降1.76%，灌水次数减少53%；Y-TNP-N灌溉制度优化水稻产量下降2.64%，氮磷流失量减少22.83%，灌水次数减少2次。②不同典型年以Y-TNP-N为目标优化的稳产-控污-提效灌溉制度水稻产量介于7.74~7.78 t/hm2，同时大幅度减少灌水量进而降低氮磷流失量。【结论】AquaCrop模型可模拟试验区水稻的生长发育过程，本文构建的模拟-优化耦合模型可用于优化不同生育期降水年型下稳产-控污-提效的灌溉制度。</abstract><cop>Xinxiang City</cop><pub>Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage</pub><doi>10.13522/j.cnki.ggps.2023279</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1672-3317 |
| ispartof | Guanʻgai paishui xuebao, 2024-01, Vol.43 (1), p.9-16 |
| issn | 1672-3317 |
| language | chi ; eng |
| recordid | cdi_wanfang_journals_ggps202401003 |
| source | DOAJ Directory of Open Access Journals |
| subjects | Algorithms Crop yield Efficiency Irrigation Irrigation efficiency Irrigation scheduling Irrigation systems Irrigation water Multiple objective analysis Nitrogen Nonpoint source pollution Optimization Optimization models Phosphorus Pollution Pollution control Pollution sources Rice Rice fields Risk reduction Schedules Yield |
| title | 基于AquaCrop模型的水稻多目标灌溉制度优化研究 |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T16%3A38%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wanfang_jour_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8EAquaCrop%E6%A8%A1%E5%9E%8B%E7%9A%84%E6%B0%B4%E7%A8%BB%E5%A4%9A%E7%9B%AE%E6%A0%87%E7%81%8C%E6%BA%89%E5%88%B6%E5%BA%A6%E4%BC%98%E5%8C%96%E7%A0%94%E7%A9%B6&rft.jtitle=Guan%CA%BBgai%20paishui%20xuebao&rft.au=MA,%20Chao&rft.date=2024-01-01&rft.volume=43&rft.issue=1&rft.spage=9&rft.epage=16&rft.pages=9-16&rft.issn=1672-3317&rft_id=info:doi/10.13522/j.cnki.ggps.2023279&rft_dat=%3Cwanfang_jour_proqu%3Eggps202401003%3C/wanfang_jour_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3098217292&rft_id=info:pmid/&rft_wanfj_id=ggps202401003&rfr_iscdi=true |