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基于人工蜂群算法的灌區水資源優化配置方法--李旭杰,穆營利,吉擁平,孫穎,黃鳳辰
摘要:
基于人工蜂群算法的灌區水資源優化配置方法--李旭杰,穆營利,吉擁平,孫穎,黃鳳辰
摘要:
分類:2022年第05期(總第170期)
發布: 2022-10-31 17:38:25
李旭杰 1,2,3,穆營利 2,4,吉擁平 4,孫 穎 2,5,黃鳳辰 2
(1.南通河海大學海洋與近海工程研究院,江蘇 南通 226300;
2.河海大學計算機與信息學院,江蘇 南京 211100;
3.中國科學院上海微系統與信息技術研究所無線傳感網與通信重點實驗室,上海 200050;
4.鈦能科技股份有限公司,江蘇 南京 211806;
5.江蘇開放大學信息工程學院,江蘇 南京 210017)
摘 要:灌區水資源優化配置對于提高灌溉的水資源利用率,增加灌區經濟效益,降低地下水的消耗速度,促進水資源可持續發展,建立良好的生態環境具有重要意義。綜合考慮灌區有效降雨量與作物需水量,建立以灌區經濟效益最大化為目標的水資源優化配置模型,采用人工蜂群算法對水資源優化配置模型進行求解,以江蘇省宿遷市皂河灌區為實例,對基于人工蜂群算法的灌區水資源優化配置方法的實際應用效果進行驗證。結果表明:相比傳統經驗式配水方法,所提出的灌區水資源優化配置方法可使灌區經濟效益達到 8.33 億元,總用水量減少約 1 000 萬 m3,且用水量主要來自地表水,灌區作物水資源分配情況更加合理,同時灌區的作物種植結構也得以改善。
關鍵詞:人工蜂群算法;水資源;優化配水;灌區
Optimal allocation method of water resources in irrigation region based on artificial bee colony algorithm
LI Xujie 1,2,3,MU Yingli 2,4,JI Yongping 4,SUN Ying 2,5,HUANG Fengchen 2
(1.Institute of Ocean and Offshore Engineering,Hohai University(Nantong),Nantong 226300,China;
2.College of Computer and Information,Hohai University,Nanjing 211100,China;
3.Key Lab for Wireless Sensor network and Communication,Shanghai Institute of Microsystem and
Information Technology,Chinese Academy of Sciences,Shanghai 200050,China;
4.Talent Science and Technology Co.,Ltd.,Nanjing 211806,China;
5.School of Information Engineering,Jiangsu Open University,Nanjing 210017,China)
Abstract:The optimal allocation of water resources in the irrigation region is of great significance for improving the utilization ratio of water resources in irrigation, increasing the economic benefits, reducing the rate of groundwater consumption, promoting the sustainable development of water resources, and contributing to a good ecological environment. This paper comprehensively considers the effective rainfall and crop water demands in the irrigation region. A water resource optimal allocation model is set up with the goal of maximizing economic benefits, which applies an artificial bee colony algorithm to solve the model. The Zaohe Irrigation Region of Suqian City is selected as a case study to verify the performance of the proposed model. The results show that, compared with the traditional empirical water allocation method, the proposed optimal allocation method can contribute to an economic benefit of 8.33×108 RMB, and the total water consumption can be reduced by about 10 million m3 , which mainly comes from surface water. In addition, the water allocation of crops in the irrigation region is more reasonable, and the crop planting structure is also improved.
Key words:artificial bee colony algorithm;water resources;optimal allocation of water resources;irrigation region
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