[1]何晓静,付梁其,纪海婷,等.人工蜂群优化算法驱动的常州河道水环境管理研究[J].江苏水利,2024,(05):27-30,36.
HE Xiaojing,FU Liangqi,JI Haiting,et al.Study on Changzhou river water environment management driven by artificial bee colony optimization algorithm[J].JIANGSU WATER RESOURCES,2024,(05):27-30,36.
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人工蜂群优化算法驱动的常州河道水环境管理研究()
《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]
- 卷:
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- 期数:
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2024年05期
- 页码:
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27-30,36
- 栏目:
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水文水资源
- 出版日期:
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2024-05-15
文章信息/Info
- Title:
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Study on Changzhou river water environment management driven by artificial bee colony optimization algorithm
- 文章编号:
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1007-7839(2024)05-0027-0004
- 作者:
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何晓静1; 付梁其2; 纪海婷1; 汪姗1; 刘和宝1
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(1. 江苏省水文水资源勘测局常州分局,江苏 常州 213002;2. 常州市水利规划设计院有限公司,江苏 常州 213001)
- Author(s):
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HE Xiaojing1; FU Liangqi2; JI Haiting1; WANG Shan1; LIU Hebao1
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(1. Changzhou Branch of Jiangsu Province Hydrology and Water Resources Investigation Bureau, Changzhou 213002, China;2. Changzhou Water Resources Planning and Design Institute Co., Ltd, Changzhou 213001, China)
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- 关键词:
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河道水环境; WorldQual模型; 人工蜂群; 金坛区
- Keywords:
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river water environment; WorldQual model; artificial bee colony; Jintan District
- 分类号:
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TP399
- 文献标志码:
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B
- 摘要:
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研究确定了水质网络监测设计规划目标,并在地理信息系统框架中设计并实施了基于多目标人工蜂群的优化算法。使用WorldQual模型进行污染物参数的估算,从而将监测站客观分配到没有实际测量的河流。使用该方法在江苏省常州市金坛区的河道水系进行了测试,发现本研究所提出的网络相对于当前的目标函数值提高了约33%~48%。此外,基于多目标人工蜂群优化方法为管理决策提供参考信息。
- Abstract:
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The research determined the design and planning objectives for water quality network monitoring, and designed and implemented an optimization algorithm based on multi-objective artificial bee colonies in the geographic information system framework. The WorldQual model was used to estimate pollutant parameters and objectively allocate monitoring stations to rivers without actual measurements. This method was tested in the river system of Jintan District, Changzhou City, Jiangsu Province, and it was found that the network proposed in this study has improved by about 33% to 48% compared to the current objective function value. In addition, the multi-objective artificial bee colony optimization method provides reference information for management decision-making.
参考文献/References:
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[5]涂华伟,王莉,张潇,等. 河湖连通条件下城市湖泊水环境治理研究[J]. 中国农村水利水电,2020(12):101-105,111.
[6]陈俪丹,高成,陈妍清,等. 考虑水质及水动力条件的滨江圩区最优活水方案[J]. 水电能源科学,2021,39(3):16-19,57.
[7]朱诚,王昭敏,隆锋,等. 基于ABC-BP神经网络的地铁盾构地表沉降预测[J]. 河海大学学报(自然科学版),2023,51(4):72-80.
备注/Memo
- 备注/Memo:
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收稿日期:2024-01-14
基金项目:江西省水利科学院开放研究基金项目(2022SKSG03)
作者简介:何晓静(1991—),女,工程师,硕士,主要从事水资源高效利用的研究。E-mail:1475123193@qq.com
通信作者:付梁其(1990—),男,工程师,硕士,主要从事水利规划与设计的研究。E-mail:870036519@qq.com
更新日期/Last Update:
2024-05-15