摘要
针对给水管网水质模型中各管道管壁余氯衰减系数难以确定的问题,采用余氯衰减一阶反应模型以及拉格朗日时间驱动动态水质模型,以管网节点余氯浓度作为校正数据,建立了在多工况下管壁余氯衰减系数校正数学模型.提出了基于极大极小蚁群算法的管壁余氯衰减系数校正方法,将可视度与经验余氯衰减系数值相对应,选择最优蚂蚁进行信息素更新.为避免陷入局部最有解,将信息素值限定在一定范围内.在优化求解过程中采用国际通用水力水质模拟软件EPANET2获得所需的校正数据.算例结果表明,在管网水力模型准确和节点流量已知的前提下,采用极大极小蚁群算法对管壁余氯衰减系数进行校正,能够使模型节点余氯浓度的计算值与测量值更好地吻合.
Chlorine wall decay coefficients vary between pipes and can be determined indirectly from field measured concentration data. A general calibration model under multi-mode to identify these parameters was formulated based on the simple first-order reaction of chlorine and the Lagrangian time-based approach of dynamic water quality model. The multi-mode model was analyzed to collect more node residual chlorine data for calibration. Max-rain ant colony system algorithm was proposed to solve the calibration model that was coupled with hydraulic and water quality simulation models using EPANET2 Toolkits. Only elitist ant was allowed to provide feedback mechanism by updating the trails and the trails were limited to an interval between some maximum and minimum possible values. Empirical coefficients were utilized corresponding with local heuristic function to improve the convergence of optimization. Case study showed that the chlo- rine wall decay coefficients calibrated by the max-min ant colony system algorithm gave perfect match between the actual and computed node residual chlorine values.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2008年第11期1977-1982,共6页
Journal of Zhejiang University：Engineering Science
基金
国家自然科学基金资助项目(50078048)
教育部新世纪优秀人才支持计划资助项目(NCET-04-0525)
关键词
给水管网
管壁余氯衰减系数
校正
水质模型
极大极小蚁群算法
water distribution system
chlorine wall decay coefficient
calibration
water quality model
max-rain ant colony system algorithm
