摘要
针对污染源排放位置、时间、排放总量的问题,以一维物质对流扩散方程和遗传算法理论为基础,构建污染物位置和排放时间的溯源模型。在传统遗传算法的基础上,按照适应度函数值的大小进行排序,引入"权重系数法"的概念,生成产生子代的新规则,优化种群质量,以控制种群进化方向。进一步基于解耦技术,建立了污染源排放总量的优化模型,推求污染源释放总量。试验结果表明,改进后的遗传算法能准确地追踪到污染源的排放位置和排放时间,与传统方法相比,其搜索效率更高,计算更加稳定。
In order to solve the tracing problem of pollutant source in the subject of water environment,a backtracking model was built in this study to discern the source location and the emission time,based on the convection-diffusion equation and the genetic algorithm.By further introducing the decoupling method,the mass quality was also obtained.A concept of‘weigh coefficient'was introduced to improve the traditional genetic algorithm for high computational efficiency by controlling the evolutionary trend of population and optimizing the quality of population.Compared with the traditional genetic algorithm,the improved one makes the backtracking model more efficient and stable.
作者
李敏慧
荆立
朱彦君
郜新宇
王青
孔俊
LI Minhui;JING Li;ZHU Yanjun;GAO Xinyu;WANG Qing;KONG Jun(Jiangsu Key Laboratory of Coast Ocean Resources Development and Environment Security,Hohai University,Nanjing 210098,China;China Design Group Co.,Ltd.,Nanjing 210014,China;School of Mathematics and Statistics,Nanjing University of Information Science&Technology,Nanjing 210044,China)
出处
《河海大学学报（自然科学版）》
CAS
CSCD
北大核心
2018年第5期402-407,共6页
Journal of Hohai University(Natural Sciences)
基金
水利部公益性行业科研专项(201501010)
关键词
污染源排放
水质溯源
遗传算法
优化模型
参数解耦
权重系数法
pollution source emission
water source identification
genetic algorithm
optimized model
parameter decoupling
weigh coefficient method
