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| 非线性遗传优化海域水质耦合模型多参数反演方法研究 | |
| 引用本文： | 李明昌,张光玉,司 琦,梁书秀,孙昭晨. 非线性遗传优化海域水质耦合模型多参数反演方法研究[J]. 水资源与水工程学报, 2013, 24(3): 10-13 |
| 作者姓名： | 李明昌 张光玉 司 琦 梁书秀 孙昭晨 |
| 作者单位： | 1. 交通运输部天津水运工程科学研究院水路交通环境保护技术实验室,天津塘沽300456;大连理工大学海岸和近海工程国家重点实验室,辽宁大连116024;天津大学环境科学与工程学院,天津300072 2. 交通运输部天津水运工程科学研究院水路交通环境保护技术实验室,天津塘沽300456;天津大学环境科学与工程学院,天津300072 3. 交通运输部天津水运工程科学研究院水路交通环境保护技术实验室,天津塘沽,300456 4. 大连理工大学海岸和近海工程国家重点实验室,辽宁大连,116024 |
| 基金项目： | 国家自然科学基金资助项目，大连理工大学海岸和近海工程国家重点实验室研究基金资助项目，天津市科技兴海项目，中央级公益性科研院所基本科研业务费专项资金项目 |
| 摘 要： | 通过遗传算法和海域水质模型的有机耦合,提出了基于非线性遗传优化海域水质耦合模型多参数反演的新方法.将海域水质模型嵌入遗传算法模型中,以海域内部验证点位的误差函数为适应度,进行模型多参数的优化反演.文中以渤海湾海域水质模型多参数反演的“孪生”试验来验证方法的有效性.数值结果表明:该反演新方法具有较高的精度. |
| 关 键 词： | 遗传算法 海域水质模型 多参数 反演 耦合 |
| 收稿时间： | 2013-01-07 |
| 修稿时间： | 2013-02-25 |
Inversion method of Multi-parameter for coupling model of marine water quality with nonlinear genetic optimization |
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| LI Mingchang,ZHANG Guangyu,SI Qi,LIANG Shuxiu and SUN Zhaochen. Inversion method of Multi-parameter for coupling model of marine water quality with nonlinear genetic optimization[J]. Journal of water resources and water engineering, 2013, 24(3): 10-13 | |
| Authors: | LI Mingchang ZHANG Guangyu SI Qi LIANG Shuxiu SUN Zhaochen |
| Affiliation: | Laboratory of Environmental Protection in Water Transport Engineering, Tianjin Research Institute of Water Transport Engineering, MOT,Tanggu, Tianjin 300456, China;Laboratory of Environmental Protection in Water Transport Engineering, Tianjin Research Institute of Water Transport Engineering, MOT,Tanggu, Tianjin 300456, China;Laboratory of Environmental Protection in Water Transport Engineering, Tianjin Research Institute of Water Transport Engineering, MOT,Tanggu, Tianjin 300456, China;State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116024,China;State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116024,China |
| Abstract: | A new multi-parameter optimal inversion method was established by the coupled method of genetic algorithms and marine water quality model. In this method, marine water quality model was inverted into the genetic algorithms model for multi-parameter precise inversion by the fitness error function of observation stations. Case study in the Bohai bay by twin experiments was presented for validating the present method. Verification results show the coupled inversion method has higher simulation precision. |
| Keywords: | genetic algorithms marine water quality model multi-parameter inversion coupled |
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