Utilization of a Bayesian probabilistic inferential framework for contamination source identification in river environment

摘要：

　　In the environmental event of hazardous release into river,quick and accurate identification of the contamination source is important for emergence response.Generally,given a noisy and finite set of monitoring information,determining the source items(i.e.location,strength and release time)is an ill-posed inverse problem.In this study,a Markov chain Monte Carlo method combined with advection-dispersion equation(ADE)was proposed for the source identification of contamination event in river system based on a Bayesian probabilistic inferential framework.Case study with analytical solution for one-dimensional ADE showed that the proposed methodology was effective and the mean posterior errors for all source parameters were lower than 3%.Case simulation based on two-dimensional ADE with numerical solution obtained similar results and further demonstrated the utility of the proposed approach for source identification.We hope the study will provide a helpful guidance to develop approach for contamination event source identification to support environmental risk management of river system.

作者: Lijun Jing Ruihui Chen Xiaomei Bai Fansheng Meng Zhipeng Yao Yanguo Teng Haiyang Chen

作者单位: College of Water Sciences,Beijing Normal University,No 19,Xinjiekouwai Street,Beijing,100875,China Chinese Research Academy of Environmental Sciences,No 8,Dayangfang,Chaoyang District,Beijing,100012, State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring,China N

会议类型: 国际会议

会议名称: 2018 International Symposium on Water System Operations(ISWRSO 2018)(2018年水资源系统及调度国际研讨会)

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2018-10-12（万方平台首次上网日期，不代表论文的发表时间）