市政技术2024，Vol.42Issue(8)：205-214,244,11.DOI:10.19922/j.1009-7767.2024.08.205
基于遗传算法的水质模型参数估计研究
Research on Parameter Estimation of Water Quality Models Based on Genetic Algorithm
王远飞1
作者信息
- 1. 中国建筑西南设计研究院有限公司,四川成都 610041
- 折叠
摘要
Abstract
Chlorine is the most common disinfectant to maintain the quality of drinking water in the water distribution networks.However,the concentration of chlorine is strictly restricted,which should be adequate to remove pathogens but not produce excessive disinfectant by-products.Hence real-time water quality model is very important for keeping the optimal target residual chlorine concentrations in the water distribution networks.The accuracy of water quality model can only be retained by regular calibration and validation utilizing field measured chlorine concentration data.In this research,a genetic algorithm is implemented to automatically search for the optimal value of chlorine decay parameters.An investigation of the impact of pipe grouping on the calibration performance is conducted.Further-more,the ability of genetic algorithm method in dealing with data uncertainties is tested to validate its robustness.关键词
配水管网/余氯衰减/水质模型校准/遗传算法Key words
water distribution network/residual chlorine decay/water quality model calibration/genetic algorithm分类
建筑与水利引用本文复制引用
王远飞..基于遗传算法的水质模型参数估计研究[J].市政技术,2024,42(8):205-214,244,11.
