基于加速分层遗传算法-投影寻踪模型的三峡水质评价  

Evaluation of Yangtze River Water Quality Based on Hierarchical Genetic Algorithm Projection Pursuit Model

作　　者：吴克祥 Wu Kexiang(SHANG HAI MUINCIPAL ENGINEERING DESIGN INSTITUTE(GROUP)CO.,LTD.,Shanghai 200092,China)

机构地区：[1]上海市政工程设计研究总院(集团)有限公司,上海200092

出　　处：《绿色科技》2024年第8期128-133,共6页Journal of Green Science and Technology

摘　　要：针对基于遗传算法的投影寻踪模型的不足,提出了基于加速分层遗传算法的投影寻踪模型,提高了全局搜索能力和收敛速度。并将其应用于长江流域水体水质的评价中。利用长江三峡库区8个断面的水质指标监测数据,建立基于加速分层遗传算法的投影寻踪模型,对各断面水质展开评价。结果显示:该段流域内水体质量整体良好,水质等级主要分布在《地表水环境质量标准》(GB3838-2002)Ⅱ类、Ⅲ类、Ⅳ类等级中。该模型能够合理的评价水质等级,值得广泛推广应用。Based on the lack of Hierarchical genetic algorithm Projection Pursuit Model,Projection Pursuit Model is proposed based on accelerating Hierarchical genetic algorithm,which can improve the global search ability and convergence speed,and is applied to evaluate water quality of the Yangtze River.Using eight sections water quality indicators for monitoring data of the Three Gorges Reservoir,Projection Pursuit Model is established based on accelerating Hierarchical genetic algorithm and the water quality of each section is evaluated.Evaluation shows that the water quality in this basin is good as a whole.The water quality grade is mainly distributed in Class Ⅱ,Class Ⅲ and Class Ⅳ in Environmental Quality Standard for Surface Water(GB3838-2002).The model can reasonably evaluate water quality and is worthy of widespread application.

关 键 词：加速分层遗传算法 投影寻踪 长江 水质评价 

分 类 号：P349[天文地球—水文科学]