基于PSO算法的河流突发污染事故溯源研究  

Identification of Pollution Source in River Pollution Accident Based on PSO Algorithm

作　　者：刘晓东[1] 张广涵 吴偲 孙卫红[2] LIU Xiaodong;ZHANG Guanghan;WU Si;SUN Weihong(Key Laboratory of Shallow Lake Comprehensive Control and Resource Development of Ministry of Education,College of Environment,Hohai University,Nanjing 210098,China;Jiangsu Provincial Academy of Environmental Science,Nanjing 210036,China)

机构地区：[1]浅水湖泊综合治理与资源开发教育部重点实验室河海大学环境学院,江苏南京210098 [2]江苏省环境科学研究院,江苏南京210036

出　　处：《环境科学与技术》2020年第7期14-21,共8页Environmental Science & Technology

基　　金：国家自然科学基金重点项目(51739002);国家自然科学基金面上项目(51479064,51979079);江苏省高校优秀科技创新团队及江苏高校优势学科建设工程资助项目。

摘　　要：为了探讨突发污染事故溯源过程中诸多不确定性因素,该文将粒子群优化算法(PSO)与一维水质正演模型相结合,构建了一种突发污染事故溯源方法,利用数值试验重点探讨了监测时间间隔、监测断面距事故源的距离、降解系数对溯源结果的影响,该方法不仅能实现事故源源强单参数反演,而且能够同时对源强和位置进行联合反演,具有较高溯源精度。利用实验室水槽试验数据和野外观测数据对溯源方法进行了实例验证,表明溯源方法可以应用于实际河流中的事故溯源,为突发水污染事故的风险防范、应急处置和生态补偿提供科学依据。In order to explore many uncertain factors in the process of traceability of instantaneous pollution accidents,a simulation and optimization method of instantaneous source traceability was established by combining particle swarm optimization algorithm with one-dimensional forward model of water quality,using numerical experiments to discuss the influence of the monitoring time interval,distance from the monitoring cross section to the accident source,the degradation coefficient on the result of traceability.This method can not only realize single-parameter inversion of accident source strength,but also perform joint inversion of source strength and location at the same time,with high traceability accuracy.By using the laboratory flume test data and field observation data,an example is given to verify the traceability method,which shows that the traceability method can be applied to the actual river accident tracing,providing a scientific basis for the risk prevention,emergency treatment and ecological compensation of sudden water pollution accidents.

关 键 词：粒子群优化算法 瞬时源 溯源 突发污染事故 反演 

分 类 号：X830.7[环境科学与工程—环境工程]